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[Slon]

The Butterfly Effect: A Path of Gentle Feminine Return
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 19h 26m | Size: 35.1 GB

The Feminine Soul Development Program every young '. woman is looking for



What you'll learn
Reconnect with Your Authentic Self - Remember who you were before conditioning and return to your soul's truth
Discover Childhood and Feminine Imbalances - Bring compassion to your past and nurture emotional safety within.
Break Free from Conditioning - Release patriarchal and societal beliefs that suppress your feminine essence.
Master Emotional Awareness - Learn the importance to regulate emotions, express boundaries, and restore inner balance.
Align with Your Soul Mission - Awaken your purpose and begin creating a legacy rooted in intention and service.

Requirements
Only requirement: come as you are :) bring the most raw, honest and vulnerable version of yourself to start from deep within.

Description
Created by a woman, for women, this work speaks to the quiet exhaustion of survival and the longing to finally live.

It is a soul-centered journey rooted in fitrah, safety, and Divine alignment.

Healing here is not rushed or pathologized. The woman is never treated as broken. Instead, wounds are honored as intelligent adaptations, and healing is approached as rujoo' - a return to what was always whole.

The Butterfly Effect weaves together femininity, psychology, emotional awareness, lived female experience, and ---c consciousness. You are not asked to choose between devotion and emotional depth, or softness and grounding. You are guided to hold it all.

It Centers the Soul, Not Just the Mind or Behavior

• Begins with the state of the soul, not habits or productivity

• Reveals how the soul adapts to survive and protect itself

• Approaches healing as rujoo' (return), not striving

• Allows change to emerge naturally once the soul feels seen

It Is Rooted in Fitrah, Not Modern Ideologies

• Reconnects you to your Divinely designed nature

• Honors femininity as ,.' swt created it, not as culture shaped it

• Separates ---c truth from cultural, patriarchal, and modern conditioning

• Focuses on alignment, not hardness or over-strengthening

What you were never taught

Many women live with invisible inner fractures because

• No one explained how childhood wounds form and why we abandon parts of our authentic selves to stay loved or safe

• We were never taught emotional literacy or self-understanding

• Femininity was reduced to roles, rules, or stereotypes - not honored as fitrah

• Patriarchal and modern ideologies disconnected women from their bodies, emotions, and inner authority

• Pain was normalized, minimized, or spiritualized instead of understood

• Self-sacrifice was confused with virtue

• Worth became tied to approval, productivity, or endurance

• Healing was framed as "fixing" instead of remembering

This journey moves in stages - from healing, to clarity, to direction - supporting you in shaping a soul-led legacy that feels sincere, spacious, and aligned with Divine wisdom.

The Butterfly Effect is a space of remembrance, consciousness, and becoming -

for the woman who is ready to live with depth, intention, and sacred alignment.

Who this course is for
A beginner path for true soul alignment: for every young '. woman who wants to find herself again after feeling lost, empty and misalligned; for every young woman who feels her light has burnt out as well as her body, mind and soul; for every young woman who craves true inner peace, inner acceptance of her life's trajectory and inner allignment with her values, needs and deep feminine desires
A gentle return to Feminine Energy and living


Homepage

Code:

https://www.udemy.com/course/the-butterfly-effect-feminine-return

Download from RapidGator

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[Slon]

Forex Trading Mastery: From Beginner to Pro
Last updated 4/2026
Created by THIERNO SEYDOU NOUROU SY
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 83 Lectures ( 56h 18m ) | Size: 42 GB

Master Technical Analysis, Risk Management, Trading Psychology and Profitable Strategies + Gold Trading + MT5 Automation



What you'll learn
✓ Master the complete foundations of Forex trading from absolute beginner level
✓ Apply professional technical analysis to read charts with clarity and precision
✓ Implement powerful risk management rules to protect your capital on every trade
✓ Develop unbreakable trading psychology and eliminate emotional decision-making
✓ Build and execute high-probability trading strategies that deliver consistent results
✓ Trade XAUUSD (Gold) profitably using proven, real-world frameworks
✓ Code your own MT5 Expert Advisors (trading bots) from scratch - no prior programming needed
✓ Automate your trading edge and remove manual execution errors
✓ Create a complete personal trading plan with rules, routines, and performance tracking
✓ Transform from a struggling trader into a disciplined, confident, and consistently profitable professional

Requirements
● No prior trading experience needed - everything is taught from scratch
● A computer or laptop with internet connection
● Willingness to learn, practice, and apply the lessons consistently
● Basic understanding of English
● MT5 platform (free to download) - installation guidance provided
● A demo trading account (recommended for practice)

Description
Forex Trading Mastery: From Beginner to Pro gives you everything you need to go from complete beginner to a consistently profitable trader.

I created this course because I was once in your shoes - struggling with losing trades, emotional decisions, and recycled strategies that never worked. After years of real-market experience, I built a proven framework that strips away the noise and replaces it with clear, practical skills that actually deliver results.

In this step-by-step program you will master the complete trading process: technical analysis, smart risk management, trading psychology, and high-probability strategies that work in live conditions. You'll also get specialized training on XAUUSD (Gold) trading from an expert who has generated six-figure results, plus a full additional module on MT5 automation where you'll learn to code and deploy your own Expert Advisors (trading bots) from scratch - completely free.

What makes this course different

• Designed for total beginners and advanced traders who want to unlearn bad habits and build a professional edge

• Clear, structured lessons with real chart examples and practical exercises

• Focus on consistency and long-term profitability - not just quick wins

• Lifetime access to all recordings, quizzes, and future updates

By the end of the course you will have a complete trading system, the discipline to follow it, and the automation skills to scale your results. Whether your goal is financial independence or simply trading with confidence, this is the complete roadmap you've been looking for.

Ready to build your trading edge? Let's get started!

Important Risk Disclosure: Trading the forex market involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results.

Who this course is for
■Complete beginners who want to start their forex journey the right way
■Struggling traders who keep losing money and want to build a consistent edge
■Intermediate traders looking to unlearn bad habits and upgrade their skills
■Anyone interested in mastering Gold (XAUUSD) trading
■Traders who want to learn how to code and automate their own trading strategies (MT5 Expert Advisors)
■Students seeking structure, accountability, and real transformation – not just theory

Code:

https://anonymz.com/?https://www.udemy.com/course/forex-trading-mastery-from-beginner-to-pro

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[Slon]

Big Data: Hadoop| MapReduce| Hive| Pig| NoSQL| Mahout| Oozie
Last updated 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 67h 57m | Size: 47.35 GB

Learn Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL, Mahout, Oozie, Flume, Storm, Avro, Spark, Projects and Case studies.



What you'll learn
Introduction to Big Data and Hadoop. Overview of Hadoop Training. Scenario of Big Data Hadoop. Hadoop Architecture and HDFS.
Hadoop Distributed File System. Hadoop MapReduce Fundamentals. Advanced MapReduce Techniques. HIVE Fundamentals and Advanced Concepts.
PIG Fundamentals and Advanced Techniques. NoSQL Fundamentals. Apache Mahout for Machine Learning. Apache Oozie for Workflow Orchestration.
Apache Flume for Data Ingestion. Apache Storm for Real-time Data Processing. Apache Avro for Data Serialization. Apache Spark Fundamentals, Advanced Concepts
Hands-on Hadoop Projects in Various Domains. Hadoop on Cloudera Environment. Log Data Analysis with Hadoop. Social Media Analysis Using Hadoop.
YouTube Data Analysis with Hadoop. Health Survey Analysis Using HDFS. Traffic Violation Analysis. E-Commerce Sales Analysis.
Hive/MapReduce for Customer Complaints Analysis. Sensor Data Analysis Using PIG/MapReduce. Spark Streaming for Twitter Data Analysis.
Telecom Industry Analysis Using Hive. Faculty Data Management with HDFS. Tourism Survey Analysis. Salary Analysis.
Comprehensive Understanding of Big Data Technologies.

Requirements
Basic Computer Knowledge
Basic knowledge of Java and SQL will serve as an added advantage
No prior knowledge is required. The course starts from scratch and will go to an advanced level with different projects
There are no special skills needed to take this Hadoop course

Description
Welcome to our comprehensive course on Big Data and Hadoop! In this course, we dive deep into the world of big data technologies, focusing on Hadoop, one of the most powerful and widely used frameworks for processing large-scale data sets.

Throughout this course, you'll learn the fundamentals of Hadoop, including its architecture, components, and applications. We'll cover everything from the basics of big data and Hadoop to advanced topics such as MapReduce, HDFS, Hive, Pig, and more.

Whether you're a beginner looking to understand the basics of big data or an experienced professional seeking to enhance your skills in Hadoop ecosystem technologies, this course has something for everyone. Get ready to explore the exciting field of big data and unleash the power of Hadoop for solving real-world data challenges. Join us on this journey as we unlock the potential of big data together! We will learn the followings section-wise

Section 1: Big Data and Hadoop Training Introduction

In this section, students are introduced to the foundational concepts of Big Data and Hadoop training. They begin by understanding the significance of Hadoop in handling large volumes of data efficiently. Through a series of introductory sessions, learners familiarize themselves with the landscape of Big Data and Hadoop technology, setting the stage for more in-depth exploration in subsequent sections.

Section 2: Hadoop Architecture and HDFS

Moving on to the architecture of Hadoop and its distributed file system (HDFS), this section delves into the core components of Hadoop 1.0. Students gain insights into the storage layer of Hadoop and the placement policies governing data distribution across the cluster. Through hands-on exercises and cluster setup tutorials, learners develop a solid understanding of Hadoop's architecture and its practical implementation in real-world scenarios.

Section 3: MapReduce Fundamentals

In this section, students dive into the fundamentals of MapReduce, a core component of Hadoop for processing and analyzing large datasets in parallel. Through a series of lectures, learners explore key concepts such as secondary sorting, composite keys, and the importance of partitioning. They gain hands-on experience with MapReduce programming by working on sample programs, understanding map-side joins, and implementing combiners for efficient data processing.

Section 4: MapReduce Advanced

Building upon the foundational knowledge of MapReduce, this section delves into more advanced topics and techniques for optimizing MapReduce programs. Students learn about running and debugging MapReduce programs, working with different file formats, and leveraging advanced MapReduce functionalities for tasks such as log processing and data export. By the end of this section, learners are equipped with the skills to tackle complex data processing challenges using MapReduce.

Section 5: HIVE Fundamentals

In this section, students are introduced to Apache Hive, a data warehouse infrastructure built on top of Hadoop for querying and analyzing large datasets stored in HDFS. Through a series of lectures, learners explore Hive's architecture, data modeling concepts, and query language (HiveQL). They learn how to create and manage databases and tables, perform data loading operations, and execute various SQL-like queries to extract insights from structured data.

Section 6: Hive Advanced

Expanding upon the foundational knowledge of Hive, this section covers advanced topics and techniques for optimizing Hive queries and data processing workflows. Students learn about partitioning, bucketing, indexing, and other performance optimization strategies to enhance query performance and scalability. Additionally, they explore advanced features such as table sampling, archiving, and working with slowly changing dimensions (SCD) to address complex data analysis requirements effectively.

Section 7: PIG Fundamentals

In this section, students explore Apache Pig, a high-level data flow scripting language for processing and analyzing large datasets in Hadoop. Through a series of lectures, learners discover Pig's features, data types, and operators for expressing data transformations and analysis tasks concisely. They gain hands-on experience with loading and storing data, grouping and joining operations, and leveraging built-in functions to perform data manipulation tasks efficiently.

Section 8: PIG Advanced

Building upon the foundational knowledge of Pig, this section delves into advanced topics and techniques for optimizing Pig scripts and data processing workflows. Students learn about debugging techniques, leveraging user-defined functions (UDFs), and working with complex data types to handle diverse data processing requirements effectively. Additionally, they explore strategies for improving Pig script performance and scalability in large-scale data processing environments.

Section 9: NoSQL Fundamentals

This section provides an introduction to NoSQL databases, covering their history, characteristics, and benefits in handling diverse and rapidly changing data types. Students learn about different types of NoSQL databases, including document-based, columnar, and graph databases, and understand their suitability for various use cases. Additionally, learners explore key concepts such as schema flexibility, consistency models, and distributed architecture, gaining insights into managing and querying data in NoSQL environments effectively.

Section 10: Apache Mahout

In this section, students explore Apache Mahout, a scalable machine learning library built on top of Hadoop for building and deploying machine learning models at scale. Through a series of lectures and hands-on exercises, learners discover Mahout's architecture, algorithms, and use cases in real-world scenarios. They gain practical experience in implementing recommendation systems, clustering, classification, and other machine learning tasks using Mahout's APIs and tools.

Section 11: Apache Oozie

This section introduces Apache Oozie, a workflow scheduler system for managing Hadoop jobs and data processing workflows. Students learn about Oozie's architecture, workflow definition language, and various workflow actions for coordinating and orchestrating complex data processing pipelines. Through hands-on exercises, learners gain proficiency in creating, scheduling, and monitoring workflows using Oozie, enabling them to automate and streamline data processing tasks effectively.

Section 12: Apache Flume

In this section, students explore Apache Flume, a distributed, reliable, and available system for efficiently collecting, aggregating, and moving large volumes of log data from various sources to centralized data stores. Through lectures and practical demonstrations, learners understand Flume's architecture, components, and data flow model for ingesting and processing log data in Hadoop environments. They gain hands-on experience in configuring Flume agents, defining data ingestion pipelines, and monitoring data flows for real-time log processing.

Section 13: Apache Storm

This section introduces Apache Storm, a distributed real-time stream processing system for processing high-velocity data streams with low latency and fault tolerance. Students learn about Storm's architecture, components, and stream processing model, including spouts, bolts, and topologies. Through hands-on exercises, learners gain practical experience in setting up Storm clusters, developing and deploying stream processing topologies, and handling real-time data streams for various use cases such as real-time analytics, event processing, and more.

Section 14: Apache Avro

In this section, students delve into Apache Avro, a data serialization system that provides rich data structures, a compact binary format, and a JSON-like data model for efficient data exchange between applications. Learners explore Avro's schema definition language, supported data types, and integration with other big data tools like Apache Sqoop. Through practical examples and exercises, students gain proficiency in using Avro for data serialization, schema evolution, and interoperability in Hadoop ecosystems.

Section 15: Apache Spark Fundamentals

This section provides an introduction to Apache Spark, a fast and general-purpose cluster computing framework for processing large-scale data sets with high speed and ease of use. Students learn about Spark's core components, including Spark Context, Resilient Distributed Datasets (RDDs), and transformations/actions for distributed data processing. Through hands-on labs and demonstrations, learners gain practical experience in working with RDDs, applying transformations/actions, and performing basic data analysis tasks using Spark's APIs.

Section 16: Apache Spark Advanced

Building upon the fundamentals, this section delves deeper into advanced concepts and features of Apache Spark, empowering students to tackle complex data processing and analytics challenges efficiently. Learners explore topics such as connecting Spark to external data sources, working with Spark SQL for structured data processing, and leveraging Spark's machine learning and graph processing libraries for advanced analytics tasks. Through a combination of lectures and hands-on exercises, students develop advanced skills in building end-to-end data processing pipelines and deploying machine learning models using Spark.

Section 17: Hadoop Project 01 - Sales Data Analysis

In this project-based section, students apply their knowledge of Hadoop and related technologies to analyze sales data and derive actionable insights. Learners work through various problem statements, such as calculating average sales, analyzing sales trends, and segmenting customers based on purchasing behavior. By completing this project, students gain practical experience in data analysis, Hadoop ecosystem tools, and real-world data processing scenarios.

Section 18: Hadoop Project 02 - Tourism Survey Analysis

Continuing with project-based learning, this section focuses on analyzing tourism survey data using Hadoop technologies. Students work on tasks such as calculating average spending by tourists, analyzing demographics, and identifying trends in tourism preferences. Through hands-on exercises and guided projects, learners apply their skills in data manipulation, querying, and visualization to derive valuable insights for the tourism industry.

Section 19: Hadoop Project 03 - Faculty Data Management

In this project, students tackle the task of managing faculty data within an educational institution using Hadoop-based solutions. Learners work on tasks such as data ingestion, schema design, data transformation, and querying to create a comprehensive faculty data management system. By completing this project, students gain practical experience in designing and implementing data management solutions using Hadoop technologies.

Section 20: Hadoop Project 04 - E-Commerce Sales Analysis

In this project, students dive into analyzing e-commerce sales data using Hadoop tools and techniques. They work on tasks such as customer segmentation, product performance analysis, and sales forecasting to extract valuable insights for e-commerce businesses. By applying their knowledge of Hadoop ecosystem components, data processing techniques, and analytics methodologies, students gain hands-on experience in solving real-world challenges in the e-commerce domain.

Section 21: Hadoop Project 05 - Salary Analysis

This project revolves around analyzing salary data using Hadoop-based approaches. Students engage in tasks such as identifying patterns in salary distributions, calculating department-wise salary averages, and analyzing trends in employee compensation. Through practical exercises and data analysis tasks, learners enhance their skills in data manipulation, statistical analysis, and deriving actionable insights from large-scale salary datasets.

Section 22: Hadoop Project 06 - Health Survey Analysis using HDFS

In this project, students undertake the analysis of health survey data using Hadoop Distributed File System (HDFS) and related technologies. They work on tasks such as data preprocessing, trend analysis, and geographical mapping of health indicators to gain insights into public health trends and issues. Through hands-on projects and data visualization tasks, learners develop proficiency in leveraging Hadoop for health data analysis and decision-making in healthcare settings.

Section 23: Hadoop Project 07 - Traffic Violation Analysis

In this project, students explore the analysis of traffic violation data using Hadoop tools and frameworks. They work on tasks such as data ingestion from various sources, geospatial analysis of traffic violations, and identifying patterns in traffic offense data. By applying Hadoop-based solutions to traffic data analysis, learners gain practical experience in understanding traffic patterns, improving road safety, and implementing data-driven interventions to manage traffic violations effectively.

Section 24: Hadoop Project 08 - PIG/MapReduce - Analyze Loan Dataset

This project focuses on analyzing a loan dataset using a combination of Apache Pig and MapReduce techniques. Students engage in tasks such as data preprocessing, calculating risk metrics, and generating reports on loan performance. Through hands-on exercises and coding assignments, learners develop proficiency in using Pig Latin scripts, implementing MapReduce algorithms, and performing analytics on large-scale loan datasets to support financial decision-making processes.

Section 25: Hadoop Project:09 - HIVE - Case Study on Telecom Industry

In this project, students delve into a case study focused on analyzing telecom industry data using Apache Hive. They work on tasks such as data modeling, query optimization, and performance tuning to extract meaningful insights from telecom datasets. Through hands-on exercises and SQL-based queries in Hive, learners gain practical experience in data warehousing, business intelligence, and decision support systems tailored to the telecommunications domain.

Section 26: Hadoop Project:10 - HIVE/MapReduce - Customers Complaints Analysis

This project revolves around analyzing customer complaints data using a combination of Hive and MapReduce techniques. Students engage in tasks such as data preprocessing, sentiment analysis, and trend identification to understand customer feedback patterns and improve service quality. By leveraging Hive for data querying and MapReduce for complex analytics, learners gain valuable skills in customer analytics and enhancing customer experience in various industries.

Section 27: Hadoop Project 11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis

In this project, students tackle the analysis of social media data using a combination of Hadoop ecosystem tools including Hive, Pig, MapReduce, and Sqoop. They work on tasks such as data extraction, sentiment analysis, and user behavior modeling to understand trends and patterns in social media interactions. Through practical exercises and data processing tasks, learners gain insights into social media analytics, content optimization, and audience engagement strategies.

Section 28: Hadoop Project 12 - HIVE/PIG - Sensor Data Analysis

This project focuses on analyzing sensor data using Apache Hive and Pig for data processing and analytics. Students engage in tasks such as data cleaning, anomaly detection, and predictive modeling to extract actionable insights from sensor-generated data streams. By applying Hadoop-based solutions to sensor data analysis, learners gain practical experience in IoT (Internet of Things) analytics and leveraging sensor data for various applications such as predictive maintenance and environmental monitoring.

Section 29: Hadoop Project 13 - PIG/MapReduce - Youtube Data Analysis

In this project, students undertake the analysis of YouTube data using a combination of Pig and MapReduce. They work on tasks such as data preprocessing, trend identification, and user behavior analysis to uncover insights into YouTube content consumption patterns and audience engagement. By leveraging Pig for data transformation and MapReduce for complex analytics, learners gain practical experience in big data analytics applied to digital media platforms.

Section 30: Hadoop and HDFS Fundamentals on Cloudera

This section provides foundational knowledge about Hadoop and HDFS (Hadoop Distributed File System) using the Cloudera environment. Students learn about big data concepts, distributed storage, and processing, along with practical aspects such as metadata configuration and accessing HDFS through various interfaces. Through hands-on exercises and exploration of Cloudera's Hadoop ecosystem, learners gain a solid understanding of Hadoop fundamentals and its practical applications in real-world scenarios.

Section 31: Log Data Analysis with Hadoop

In this section, students delve into log data analysis using Hadoop tools and techniques. They learn to summarize and process log files efficiently using MapReduce programs, gaining insights into system performance, user behavior, and security incidents. By writing MapReduce programs and executing them on log data, learners develop skills in log data analysis, troubleshooting, and system optimization essential for IT operations and security management.

Who this course is for
Data Analysts seeking to enhance their skills in Big Data technologies.
Software Engineers interested in transitioning into the field of Big Data.
IT Professionals aiming to specialize in Hadoop ecosystem tools and technologies.
Data Scientists looking to leverage Hadoop for large-scale data processing and analysis.
Business Intelligence (BI) professionals interested in harnessing Big Data for insights and decision-making.
Graduates and undergraduates aspiring to build a career in Big Data and Hadoop.
Professionals from diverse industries seeking to gain proficiency in Big Data analytics.
Individuals interested in upskilling or reskilling to stay relevant in the rapidly evolving field of data science and analytics.


Homepage

Code:

https://www.udemy.com/course/hands-on-hadoop-masterclass-tame-the-big-data

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[Slon]

Financial Modeling & Valuation in Excel - Complete Course
Last updated 7/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 33h 34m | Size: 21.17 GB

Complete package of excel, accounting, ratio analysis, financial modeling, forecasting and business valuation techniques



What you'll learn
Master Excel Skills: From basic functions to advanced features like PivotTables, learners will gain proficiency in using MS Excel for financial modeling.
Build a Strong Accounting Foundation: Understand financial statements, income statements, and balance sheets. Learn to read annual reports and analyze
Comprehend Income Statements: Explore revenue recognition methods, profit margins, and conduct a detailed analysis using a case study on Colgate
Navigate Balance Sheets: Gain practical insights into current assets, long-term assets, liabilities, and equity. Value inventory, handle prepaid expenses
Comprehensive Cash Flow Analysis: Learn about direct and indirect methods, CFO, CFI and CFF. Engage in practical exercises to calculate various cash flow items
Corporate Valuations: Delve into dividend discount models, income statement forecasting, and enterprise value calculation.
Develop expertise in sensitivity analysis, options, and cost of debt and equity.
Hands-on Financial Modeling: Apply acquired skills to model Apple Inc., covering revenue forecasting, cost sheet calculations, cash flow projections, and DCF
Conclude with sensitivity analysis, growth rate considerations, and exit options.
Through a structured approach and real-world examples, it provides a comprehensive journey from fundamental concepts to advanced techniques in fin modeling

Requirements
To get the best from this financial modeling certification course, you need to practice what you learn. Since it's a comprehensive course, you need to look at each module again and again and apply what you learn.
Microsoft Excel 2010, 2013, 2016, 2020, or Microsoft Excel 365
While prerequisites may depend on the course structure and the level of detail covered, a foundational understanding of basic accounting principles, proficiency in Microsoft Excel, and familiarity with financial concepts can be beneficial for this course. Additionally, a basic knowledge of business operations and financial statements would enhance the learning experience.

Description
This comprehensive program delivers a complete, end-to-end mastery of Financial Modeling, integrating Microsoft Excel, Accounting Foundations, Financial Statement Analysis, and Corporate Valuation techniques into one structured learning journey.

Designed for aspiring financial analysts, finance professionals, MBA students, investment banking candidates, equity research aspirants, and entrepreneurs, this course moves systematically from fundamentals to advanced real-world application.

What You Will Learn

Financial modeling is the process of constructing a dynamic financial representation of a company using its historical performance and key assumptions to forecast future income statements, balance sheets, and cash flows - typically over a five to ten year horizon.

These models are used in

• Discounted Cash Flow (DCF) Valuations

• Mergers & Acquisitions (M&A)

• Equity Research

• Private Equity & Venture Capital

• Corporate Finance & Strategic Planning

• Project Finance & Investment Analysis

This course equips you with the practical tools and conceptual clarity required to perform professional-grade financial analysis.

Course Structure & Learning Path

Section 1: Course Overview

The course begins with a structured introduction to financial modeling, explaining how Excel, accounting, and valuation integrate into a unified analytical framework. Learners understand the roadmap and the practical outcomes they can expect.

Section 2: Excel Fundamentals for Financial Modeling

A strong financial model starts with mastery of Excel.

This section builds your spreadsheet foundation from the ground up, covering

• Navigating MS Excel efficiently

• Cell formatting & structured layout design

• Essential formulas and functions

• Data referencing and linking sheets

• Conditional formatting

• Tables and PivotTables

• Data organization best practices

By the end of this section, learners are fully comfortable building structured financial spreadsheets.

Section 3: Advanced Excel Features & Analytical Tools

Here, Excel transforms from a spreadsheet tool into a financial engine.

Topics include

• Logical functions (IF, nested IF, AND, OR)

• Date and time functions

• Text manipulation techniques

• Data validation

• Lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH)

• Scenario building tools

• Advanced data analysis techniques

These skills are essential for building automated, scalable financial models.

Section 4: Accounting Foundations for Financial Modeling

Financial modeling is only as strong as your accounting understanding.

This section demystifies

• The purpose and structure of financial statements

• Business cycles and accounting flow

• Income statement mechanics

• Balance sheet components

• Non-recurring charges and adjustments

• Reading and interpreting annual reports

Learners gain clarity on how accounting principles directly impact financial projections.

Section 5: Understanding the Income Statement

This section dives deep into

• Revenue recognition methods

• Cost structures

• Gross margin, EBITDA, operating profit

• Net profit analysis

• Accounting estimate changes

A real-world case study (e.g., Colgate) is used to connect theory to application.

Section 6: Understanding the Balance Sheet

Learners explore

• Current vs non-current assets

• Inventory valuation methods

• Long-term assets and depreciation

• Liabilities and capital structure

• Shareholder's equity

• Goodwill and other comprehensive income

Practical exercises help connect balance sheet mechanics to financial modeling inputs.

Section 7: Cash Flow Analysis

This section clarifies one of the most misunderstood financial statements.

Topics include

• Direct vs Indirect method

• Cash Flow from Operations (CFO)

• Cash Flow from Investing (CFI)

• Cash Flow from Financing (CFF)

• Reconciling net income to cash flow

• Building comprehensive cash flow models

Learners complete step-by-step examples to understand how cash drives valuation.

Section 8: Corporate Valuation - DCF & Relative Valuation

Here, financial modeling reaches its analytical core.

Concepts covered

• Discounted Cash Flow (DCF) mechanics

• Free Cash Flow forecasting

• Dividend Discount Model

• Cost of Equity & Cost of Debt

• WACC (Weighted Average Cost of Capital)

• Terminal value calculation

• Enterprise value vs Equity value

• Relative valuation using multiples

• Sensitivity analysis

• Growth assumptions & scenario modeling

Learners build valuation frameworks used by investment banks, private equity firms, and equity research analysts.

Section 9: Full Financial Modeling Case Study - Apple Inc.

The course culminates in a comprehensive, hands-on financial model of Apple Inc.

This practical section includes

• Revenue forecasting

• Cost sheet development

• Balance sheet projections

• Cash flow modeling

• DCF valuation step-by-step

• Sensitivity analysis

• Growth rate scenario testing

• Exit value considerations

This real-world case study ties together Excel, accounting, and valuation into one cohesive financial model.

Why This Course Stands Out

Unlike purely theoretical university programs, this course focuses on practical execution and real-world application.

Many aspiring analysts believe that breaking into finance requires graduating from elite institutions. However, industry trends consistently show that skill, analytical ability, and modeling competence outweigh pedigree.

This program bridges the gap between academic theory and practical analyst-level capability.

The Ultimate Finance Bundle

This course is not just about financial modeling.

It is a comprehensive bundle covering

• Microsoft Excel

• Accounting Foundations

• Financial Statement Analysis

• Corporate Valuation

• Forecasting Techniques

• Sensitivity & Scenario Analysis

It equips learners with the same analytical framework used in

• Sell-side research

• Buy-side investment firms

• Corporate strategy teams

• Private equity & venture capital

• Financial consulting roles

Final Takeaway

Financial modeling is the backbone of modern financial decision-making. It transforms raw financial data into actionable insights.

This course provides a structured, rigorous, and practical pathway from Excel basics to building a complete professional-grade financial model.

Whether your goal is to become a financial analyst, break into investment banking, enhance your corporate finance skills, or build valuation expertise, this program delivers a complete and industry-ready toolkit.

Who this course is for
This course is particularly useful for those creating financial models as a part of their profession.
From Investment Bankers to Equity Research Analysts to Financial Analysts, most of the finance professionals would find tremendous value in this course.
Students who have been studying finance and want a career in financial modeling should go for this course.
Graduate students who aspire to become investment bankers, financial advisory professionals, consultants
Business and finance practitioners who are eager to improve their Excel and Financial Modeling skills
The target market for this course includes individuals seeking comprehensive knowledge and practical skills in financial modeling, accounting, and valuation. Professionals in finance, accounting, business analysis, or those aspiring to enter these fields will find this course beneficial. Students, entrepreneurs, and anyone interested in mastering financial modeling for decision-making and valuation purposes will also benefit from the content covered in this course.


Homepage

Code:

https://www.udemy.com/course/financial-modeling-valuation-in-excel-complete-course-educba

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[Slon]

Math Essential Course
Published 4/2026
Created by Lonzo Fulwider
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 252 Lectures ( 103h 7m ) | Size: 67.4 GB

The Last Math Course You Need To Enroll



What you'll learn
✓ The essentials of high college level algebra. Basically, everything you would learn in a high college level class. This includes: algebra1-2,integrated math.
✓ The essentials of college level algebra. Basically, everything you would learn in a college level course this includes intermediate algebra.
✓ The essentials of high college geometry. Everything you would learn in a high college level geometry.
✓ The essentials of trigonometry. Everything you would learn in a high college and college level trigonometry.
✓ The essentials of precalculus. Everything you would learn in high college and college level precalculus course.
✓ The essentials of calculus 1. Everything you would learn in high college and college level calculus. This includes AP calculus, business calculus.
✓ The essentials of calculus 2. Everything you would learn in calculus 2 in high college and college level calculus 2. This includes calculus bc.
✓ The essentials of linear algebra. Everything you would learn in a college level course. This is not upper-level linear algebra course.
✓ The essentials of differential equation. Everything you would learn in a college level differential equation. This is not upper-level differential equation.
✓ SAT math prep. I will go over several practice SAT practice exam math portion only.
✓ IBEW/NJATC prep. I will go over several IBEW practice exam regarding math section only.
✓ Dosage calculations for nurses. I will go over the math for dosage calculation for nurses.
✓ ASVAB prep. I will go over the arithmetic reasoning and math knowledge for the ASVAB test.
✓ The essential of business calculus. Everything you would learn in a college level business calculus course.

Requirements
● None. It starts out with high college level algebra. I don't recommend this course to anyone below the high college level algebra.

Description
Welcome to the "Math Essential Course" the last math course you need to enroll in. You can think of this course as one large math encyclopedia or fourteen math courses bundled into one master course. If you need help with: high college algebra, college algebra, intermediate algebra, geometry, trigonometry, precalculus, calculus 1, calculus 2, business calculus, linear algebra, differential equation, digital SAT math prep, IBEW/ NJATC math prep, dosage calculation for nurses, ASVAB math prep then you came to the right place.

What will student learn in this course?

1. The essentials of high college level algebra. Basically, everything you would learn in a high college level class. This includes: algebra1-2,integrated math.

2. The essentials of college level algebra. Basically, everything you would learn in a college level course this includes intermediate algebra.

3. The essentials of high college geometry. Everything you would learn in a high college level geometry.

4. The essentials of trigonometry. Everything you would learn in a high college and college level trigonometry.

5. The essentials of precalculus. Everything you would learn in high college and college level precalculus course.

6. The essentials of calculus 1. Everything you would learn in high college and college level calculus. This includes AP calculus, business calculus.

7. The essentials of calculus 2. Everything you would learn in calculus 2 in high college and college level calculus 2. This includes calculus bc.

8. The essentials of linear algebra. Everything you would learn in a college level course. This is not upper-level linear algebra course.

9. The essentials of differential equation. Everything you would learn in a college level differential equation. This is not upper-level differential equation.

10. SAT math prep. I will go over several practice SAT practice exam math portion only.

11. IBEW/NJATC prep. I will go over several IBEW practice exam regarding math section only.

12. Dosage calculations for nurses. I will go over the math for dosage calculation for nurses.

13. ASVAB prep. I will go over the arithmetic reasoning and math knowledge for the ASVAB test.

14. The essential of business calculus. Everything you would learn in a college level business calculus course.

Who can enroll in this course? Anyone can enroll in this course, but keep in mind this course is considered intermediate level basically high college level to college level students. It's not recommended to anyone below high college level. Anyone around the world can enroll in this course since math is universal. But this course was built on math-based U.S level but it can be helpful for A level pure math for U.K students. But anyone can enroll in this course since math is pretty much universal. Please note this course is a very detailed course over 100 hours of video lecture. You Do Not have to start in chronological order. Start in section you have the most difficulty on. Once enrolled, this course is yours for life.

Who this course is for
■ Anyone. This course begins at high college level algebra and ends with differential equation. Basically, anyone can enroll.
■ Anyone who will be taking college/intermediate algebra.
■ Anyone who is taking high college algebra.
■ Anyone who is taking precalculus.
■ Anyone who is taking geometry/trigonometry.
■ Anyone who is taking calculus 1, business calculus, calculus AB/BC.
■ Anyone who is taking calculus 2.
■ Anyone who is taking differential equation.
■ Anyone who is taking linear algebra.
■ Anyone who is taking digital SAT college entrance exam.
■ Anyone who is taking ASVAB aptitude test.
■ Anyone who is taking IBEW aptitude test.
■ Anyone who needs help with dosage calculations for nurses.
■ Anyone who will be taking the Aleks math placement test.
■ Anyone who will be taking the Texas Success Initiative (TSI) math portion.


Homepage

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[Slon]

The Economist Audio Edition - April 25, 2026
English | 8 h 18 m | MP3 | 212 MB

"It is not only The Economist's name that people find baffling. Here are some other common questions.
First, why does it call itself a newspaper? Even when The Economist incorporated the Bankers' Gazette and Railway Monitor from 1845 to 1932, it also described itself as "a political, literary and general newspaper".
It still does so because, in addition to offering analysis and opinion, it tries in each issue to cover the main events-business and political-of the week. It goes to press on Thursdays and, printed simultaneously in six countries, is available in most of the world's main cities the following day or soon after. Readers everywhere get the same editorial matter. The advertisements differ. The running order of the sections, and sometimes the cover, also differ. But the words are the same, except that each week readers in Britain get a few extra pages devoted to British news.
Why is it anonymous? Many hands write The Economist, but it speaks with a collective voice. Leaders are discussed, often disputed, each week in meetings that are open to all members of the editorial staff. Journalists often co-operate on articles. And some articles are heavily edited. The main reason for anonymity, however, is a belief that what is written is more important than who writes it. As Geoffrey Crowther, editor from 1938 to 1956, put it, anonymity keeps the editor "not the master but the servant of something far greater than himself. You can call that ancestor-worship if you wish, but it gives to the paper an astonishing momentum of thought and principle."

Code:

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Code:

https://rapidgator.net/file/735674947cb7463155b418f399d83f14/The-Economist-Audio-Edition-April-25-2026.zip.html

[Slon]

The Economist Audio Edition - May 02, 2026
English | 7 h 52 m | MP3 | 214 MB

"It is not only The Economist's name that people find baffling. Here are some other common questions.
First, why does it call itself a newspaper? Even when The Economist incorporated the Bankers' Gazette and Railway Monitor from 1845 to 1932, it also described itself as "a political, literary and general newspaper".
It still does so because, in addition to offering analysis and opinion, it tries in each issue to cover the main events-business and political-of the week. It goes to press on Thursdays and, printed simultaneously in six countries, is available in most of the world's main cities the following day or soon after. Readers everywhere get the same editorial matter. The advertisements differ. The running order of the sections, and sometimes the cover, also differ. But the words are the same, except that each week readers in Britain get a few extra pages devoted to British news.
Why is it anonymous? Many hands write The Economist, but it speaks with a collective voice. Leaders are discussed, often disputed, each week in meetings that are open to all members of the editorial staff. Journalists often co-operate on articles. And some articles are heavily edited. The main reason for anonymity, however, is a belief that what is written is more important than who writes it. As Geoffrey Crowther, editor from 1938 to 1956, put it, anonymity keeps the editor "not the master but the servant of something far greater than himself. You can call that ancestor-worship if you wish, but it gives to the paper an astonishing momentum of thought and principle."

Code:

https://rapidgator.net/file/db42306401ccd3636fb8aab28395375d/The-Economist-Audio-Edition-May-02-2026.zip.html

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[Slon]

Denny Santoso - Content creator black book

Indonesian | 2021 | Tribelio Digital Global | ISBN: 9786239405922 (ISBN10: 6239405922) | 208 pages | PDF | 141 MB

Buku ini membahas strategi besar menjadi seorang professional konten kreator yang memiliki pengaruh besar dan akkhirnya membuka jalan anda untuk mendapatkan profit yang luar biasa dari profesi ini.


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Code:

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[Slon]

Richard Hall (Editor), Inny Accioly (Editor), Krystian Szadkowski (Editor) - The Palgrave International Handbook of Marxism and Education

English | 2023 | Palgrave Macmillan | ISBN: 9783031372513 (ISBN10: 3031372514) | 623 pages | PDF | 13 MB

The Palgrave International Handbook of Marxism and Education is an international and interdisciplinary volume, which provides a thorough and precise engagement with emergent developments in Marxist theory in both the global South and North. Drawing on the work of authoritative scholars and practitioners, the handbook explicitly shows how these developments enable a rich historical and material understanding of the full range of education sectors and contexts. The handbook proceeds in a spirit of openness and dialogue within and between various conceptions and traditions of Marxism and brings those conceptions into dialogue with their critics and other anti-capitalist traditions. As such, it contributes to the development of Marxist analyses that push beyond established limits, by engaging with fresh perspectives and views that disrupt established perspectives.



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Code:

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[Slon]

Dr. K's Complete First Semester General Chemistry I Course
Last updated 3/2026
Created by Gregory Kowalczyk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 104 Lectures ( 31h 34m ) | Size: 7 GB

A Course to Prepare You for College Level General Chemistry



What you'll learn
✓ All topics covered in the first semester of college chemistry are contained in this course.
✓ Each topic is covered is great detail with plenty of examples.
✓ Course topics include
✓ Physical and Chemical Properties of Matter
✓ Measurements, Significant Figures and Dimensional Analysis
✓ The Periodic Table, Chemical Formulas, Nomenclature
✓ Atomic Structure, Atomic Number and Atomic Weight
✓ The Mole Concept, Percent Composition
✓ Empirical and Molecular Formulas
✓ Stoichiometry, Limiting Reactant, Percent Yield
✓ Solutions, Concentrations
✓ Electrolytes and Non-Electrolytes
✓ Writing and Balancing Chemical Equations
✓ Ionic and Net Ionic Reactions
✓ Metathesis and Redox Reactions
✓ Acids, Bases and their Ionization Reactions
✓ Thermochemistry, Calorimetry, Enthalpy, Hess's Law
✓ Quantum Numbers, Electron Configuration of Atoms
✓ Periodic Properties of Elements
✓ Ionization Energy, Electron Affinity
✓ Ionic and Covalent bonding, Bond Polarity, Electronegativity
✓ Bond Strength, Lattice Energy, Born-Haber Cycle
✓ Lewis Dot Structures, Formal Charge, Resonance
✓ Molecular Structure, Shapes, and Polarity
✓ Valence Bond Theory, Hybridization, Molecular Orbital Theory
✓ Gas Laws, including Combined Gas Law and Ideal Gas Law
✓ Gas Densities, Dalton's Law of Partial Pressures
✓ Kinetic-Molecular Theory, Diffusion, Effusion

Requirements
● A working knowledge of high college algebra.
● A desire and interest in learning chemistry.

Description
The course presented here is the exact General Chemistry I course that I taught as a university professor in a Chemistry Department that was certified by the American Chemical Society, the professional organization for chemists. All topics that are essential to any General Chemistry I course are covered here in detail. My teaching style for this Udemy course is exactly how I taught in the lecture halls. Each topic is explained in detail, terms are defined and then examples are done to show how the theory is applied in practice.

As was the case when I was teaching at the university, students have access to ample supplemental material, all of which will be in the Resource Folders. In addition to the 30+ hours of lectures, I have included a downloadable audio mp3 file of each lecture. For all but three lectures, I've included a Practice Assignment where you can test your understanding of the material. Also included is a detailed answer key for each Practice Assignment. A total of nearly 100 examples are worked out in the lectures and for each section (except section 8), I have included a list of the problems that you can download and follow along. For learning nomenclature; i. e., the systematic naming of elements, ions and chemical compounds, I have included flash card videos that you can download to drill yourself. I've also included a number of memory aids (mnemonics) to help you remember the symbols for the commonly used elements and important concepts in chemistry. Any graphs, figures or tables presented in the lectures are also available as downloadable files.

This course assumes that you have no prior knowledge or experience with chemistry. In fact, this course is ideal for anyone who needs to take General Chemistry at the college level but did not have it in high college. This course is also well-suited for those who need to refresh their knowledge of General Chemistry before taking it at the college level.

Since chemistry is a quantitative science, a working knowledge of high college algebra is needed. If your math skills are weak, this course will show you what types of math calculations are needed and you can hone those skills prior to your taking the course.

For this Udemy course, I used the Openstax Chemistry textbook which can be downloaded free of charge in pdf format at their website. A downloadable copy is also available in the Resources Folder for Lecture 1. However, if you already have an old textbook, that may also work for you. Topics may be presented in somewhat different order, however.

Who this course is for
■ Anyone who will need to take General Chemistry at the college level but never took it in high college.
■ Anyone who needs a thorough review of chemistry prior to taking it at the college level.
■ Anyone who is interested in understanding the basics of chemistry.

Code:

https://anonymz.com/?https://www.udemy.com/course/dr-ks-complete-first-semester-general-chemistry-i-course

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[Slon]

Curso Programacion Schneider Electric Plc M
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: Spanish | Size: 29.43 GB | Duration: 29h 2m

Programación de PLCs Schneider Electric: Domina el M221, M241, HMI Vijeo Designer y Control PID con VFD ATV320.



What you'll learn
Programar PLCs Schneider Electric M221 y M241 utilizando EcoStruxure Machine Expert para soluciones de control industrial avanzadas.
Diseñar interfaces HMI profesionales con Vijeo Designer e integrar sistemas SCADA Citect para la supervisión eficiente de procesos.
Implementar lazos de control PID, escalamiento de señales y programación GRAFCET aplicada a secuencias neumáticas y de embalaje industrial.
Configurar y comunicar Variadores de Frecuencia ATV320 con PLCs mediante protocolos industriales para el control de motores eléctricos.

Requirements
Conocimientos básicos de lógica de contactos y fundamentos de electricidad industrial.
Disponer de una PC con Windows para instalar el software EcoStruxure Machine Expert, Vijeo Designer y el simulador Factory IO.

Description
¡Bienvenido al curso definitivo sobre Programación de PLCs Schneider Electric! Mi nombre es Franco, Técnico en Automatización Industrial con años de experiencia en el mantenimiento y control de procesos críticos en el sector marítimo e industrial. En este curso, he volcado mi experiencia como creador de cursos online para ofrecerte una formación práctica y directa sobre las familias Modicon M221 y M241.Comenzaremos desde los fundamentos, configurando el hardware y los simuladores para luego avanzar hacia la programación en entornos reales. Aprenderás a dominar el software EcoStruxure Machine Expert, aplicando lógica de contactos y bloques de función avanzados. Uno de los pilares de este curso es el Control PID y el escalamiento de señales, habilidades indispensables para optimizar lazos de control en planta.Además, integraremos la visualización mediante el diseño de interfaces HMI con Vijeo Designer y la supervisión mediante SCADA Citect, permitiéndote crear sistemas de monitoreo robustos. Exploraremos también la programación GRAFCET aplicada a secuencias de embalaje y sistemas neumáticos, y finalizaremos con la comunicación de Variadores de Frecuencia ATV320, integrando la potencia con el control de manera profesional.¿Por qué inscribirte?Aprendizaje Integral: Cubrimos PLC, HMI, SCADA y VFD en un solo programa.Simulación Realista: Utilizaremos Factory IO para validar tus programas en entornos 3D.Experiencia de Campo: Cada lección está diseñada bajo criterios que yo mismo aplico en sistemas de control de fajas y motores de alta potencia.¡Lleva tu carrera al siguiente nivel y domina la tecnología de Schneider Electric hoy mismo!

Técnicos e ingenieros de automatización que deseen especializarse en la programación y puesta en marcha de equipos Schneider Electric.,Estudiantes de carreras tecnológicas que busquen aprender control PID, GRAFCET y diseño de HMIs con herramientas estándares de la industria.

Code:

https://anonymz.com/?https://www.udemy.com/course/curso-programacion-schneider-electric-plc-m/

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[Slon]

Complete Resident Evil Game Development in Unreal Engine 5
Last updated 2/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 32h 37m | Size: 43.87 GB

In this course you will learn everything you need to build a full horror shooter



What you'll learn
Create a complete Animation Blueprint with your Character
Change Camera like a fixed Camera following the Player to get a nostalgic feeling
Create a full Inventory System with picking up Items and also use them accordingly
Create a full Storage System
Create Level Transitions and save progress
Implement custom Items and Weapons
Create a complete UI System and use Items from the Inventory
Create a full Aiming and Shooting System
Create a Damage System and dealing Damage
Receiving Damage and Kill Enemies as well as the Player
Healing with Items
Create a full reload System for several Weapons
Implement a Melee Weapon and use attack Montages
Use Layered Blend per Bone Animation
Implement Sounds like Footsteps and Shooting Effects
How to use Niagara for Visual Effects like Muzzle Flash and Smoke
Implement Enemies and setting up Enemy AI
Implement Line Trace by Channel for Weapons
Equip and Swap Weapons on Character
Unlock Doors with Keys
Stack Items like Ammunition
Create a full Inspection System to inspect Items from Inventory

Requirements
You should have basic knowledge on how to use UE5
You should know how to import Textures and FBX models into your Project

Description
This comprehensive course is designed to elevate your game development expertise to new heights. You will master the creation of intricate blueprints, dynamic animation blueprints, and sophisticated enemy artificial intelligence systems that bring your game worlds to life. The curriculum guides you through the development of a fully functional inventory system, a critical component for immersive gameplay. Learn to implement seamless weapon usage, including equipping, swapping, and managing ammunition with precision. The course also covers the integration of healing items to enhance player survival mechanics, as well as the creation of interactive elements such as unlocking doors to progress through levels. Additionally, you will explore the implementation of robust storage systems to manage in-game items effectively. By leveraging a game instance, you will learn to facilitate smooth transitions between diverse levels, ensuring a cohesive player experience. Beyond these core skills, the course introduces advanced techniques to enrich your projects, including optimizing game flow and enhancing interactivity. Perfect for aspiring developers, this course provides hands-on experience and practical knowledge to build professional-grade games, equipping you with the tools to create engaging, polished, and dynamic gaming experiences that stand out in the industry. I hope you will enjoy this massive course because you can call youself an intermediate UE5 artist after you have successfully mastered every lesson.

Who this course is for
Beginner in Unreal Engine 5
Beginners in Game Development


Homepage

Code:

https://www.udemy.com/course/complete-classic-resident-evil-game-development-in-ue5

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[Slon]

Master Techniques in Modern Chinese Ink Painting - Advanced
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 20h 39m | Size: 43.2 GB

Master advanced skill about Chinese ink painting - Advanced Brushwork, Color Mixing, Composition, Texture Expression



What you'll learn
Draw 3D objects in your mind
Learn how to mix more colors and utilize these distinctive hues
Create realistic lighting and shadows
Learn more advanced painting techniques in ink wash paintings
Learn more advanced brushstrokes of ink painting

Requirements
The basic course on ink painting has been completed.

Description
Unlock the Secrets of Advanced Chinese Ink Painting

Are you ready to take your ink painting skills to the next level? In this advanced course, students will move beyond the fundamentals and master more challenging yet far richer brushwork techniques. You will learn how a single stroke - through variations in pressure, speed, and angle - can express energy, grace, and emotion with breathtaking precision.

But brushwork is only the beginning. This course offers a deep dive into sophisticated color mixing methods, teaching you how to blend traditional pigments to create nuanced hues and subtle tonal shifts. You will observe firsthand how the delicate balance of ink, water, and color value directly impacts your composition - transforming a flat wash into a vibrant, living scene. Understanding this relationship is key to achieving atmospheric depth and visual harmony.

What truly sets this course apart is its focus on realism and texture. Through step‑by‑step demonstrations, you will appreciate how to create more realistic three‑dimensional forms - giving your flowers, branches, and natural subjects a tangible sense of volume and presence. You will also discover how to express the unique texture of different materials, from the rough bark of an ancient plum tree to the silky softness of a peony petal, by integrating multiple brush and color techniques in a single painting.

Whether you are an experienced painter seeking to refine your artistry or a dedicated student ready for a new challenge, this course will empower you with the skills and confidence to create expressive, lifelike, and deeply personal works of art. Join us and transform your passion into mastery.

Who this course is for
Those who have already grasped the basic principles of painting and wish to further enhance their skills in ink-wash painting are welcome to join.


Homepage

Code:

https://www.udemy.com/course/master-techniques-in-modern-chinese-ink-painting-advanced

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[Slon]

GameMaker Build a Complete Survivors-Style Game from Scratch
Published 4/2026
Created by Pawel Delimata
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 67 Lectures ( 26h 38m ) | Size: 23 GB

Learn game systems, architecture, progression, save/load and UI by building a complete project



What you'll learn
✓ Build a complete survivors-style game in GameMaker from scratch
✓ Structure a scalable GameMaker project using folders and macros
✓ Understand GameMaker events, objects, and built-in variables
✓ Create player movement and responsive input systems
✓ Implement multiple weapons with different behaviors
✓ Design a progression system with leveling and upgrades
✓ Build a loot system with chests and random rewards
✓ Create enemies with variations, including stronger elite versions
✓ Develop two complete playable levels with different enemy sets
✓ Add collectible items: XP gems, healing, coins, and magnet
✓ Implement a level-up menu with randomized upgrade choices
✓ Create a meta progression system with permanent upgrades
✓ Build a main menu with level selection and settings
✓ Add audio controls for music and sound effects
✓ Save and load player progress (coins, upgrades, settings)
✓ Create particle effects for feedback and polish

Requirements
● A basic understanding of GameMaker and GML is recommended, but the 26-hour deep dive covers everything you need to know to complete the project.

Description
Learn how to build a complete survivors-style game in GameMaker from scratch.

This is a project-based course - you will create a fully playable game step by step and get access to the full source code.

What you will build

• 7 weapons with unique behaviors

• Player progression and upgrade system

• Leveling system with upgrade choices and 8 upgrade items

• Loot system with chests and random rewards

• Enemies with normal and elite versions

• Two complete playable levels

• Collectible items (XP, healing, coins, magnet)

• 6 Meta upgrades in the main menu

• UI: main menu, settings, level selection

• Save & load system for progress and settings

What you will learn

• GameMaker fundamentals: objects, events, variables

• Clean project structure using folders and macros

• Player movement and combat systems

• Modular weapons and upgrade systems

• Enemy behaviors and variations

• UI systems and game flow

• Save and load using file data

Who this course is for
■ Beginners ready to follow a full, project-based course
■ Developers interested in systems like progression and upgrades
■ GameMaker users who want to build complete games, not prototypes
■ Learners comfortable with basic programming concepts
■ Anyone serious about finishing a full game project

Code:

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[Slon]

Gerhard Hilt, Peter Rinze - Chemisches Praktikum für Mediziner

German | 2007 | Vieweg+Teubner Verlag | ISBN: 3835101641, 9783835101647 | 287 pages | PDF | 4 MB

Das Chemische Praktikum stellt für Studierende der Medizin und der Zahnmedizin einen wichtigen Abschnitt in ihrer vorklinischen Ausbildung dar. In ihm werden praktische Kenntnisse über experimentelles Arbeiten vermittelt. Die Versuche umfassen chemische Umsetzungen und analytische Verfahren, die die Grundlagen biochemischer und physiologischer Laborarbeiten bilden. Gleichzeitig führt die praktische Beschäftigung mit der Chemie auch zur Vertiefung der in Vorlesungen und Übungen erarbeiteten theoretischen Kenntnisse. In 65 Aufgaben an 11 Kurstagen werden Gesetze und Modellvorstellungen der Chemie exemplarisch erarbeitet. Dabei wird auch auf den sicheren Umgang mit Gefahrstoffen und deren Entsorgung aus der Sicht der Gefahrstoffverordnung und des Umweltschutzes eingegangen.
Die Auflage wurde grundlegend überarbeitet, insbesondere wird auch die neue Gefahrstoffverordnung berücksichtigt.


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[Slon]

Els De Clercq, Lies Alen, Peter Koeck, Manuel Lehmann, Evelyne Stappaerts, Leen Temmerman, Ann Vandemaele - Track 'n' Trace 6

Nederlands | 2019 | Van In | ISBN: 9789030683964 | 347 pages | PDF | 134 MB

"Track 'n' Trace 6 - leerwerkboek" is een boek van Els De Clercq e.a.. Het is uitgegeven door Van In. Deze editie verscheen in 2019. Dit werk telt 346 pagina's. Het is geschreven in het Nederlands.

Deze editie wordt tweedehands aangeboden door 1 boekverkopers uit Langemark-Poelkapelle. Voor meer info, bekijk de beschrijving van de beschikbare exemplaren verder op deze pagina.


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[Slon]

Resnick, Jan - Meaning-Fullness: Developmental Psychotherapy and the Pursuit of Mental Health

English | 2023 | Phoenix Publishing House | ISBN: 9781800131347 (ISBN10: 1800131348) | 290 pages | PDF | 2 MB

The purpose of Developmental Psychotherapy and the Pursuit of Mental Health is to show why current mental health practices are falling short in the ever-growing need for effective responses to the epidemic of mental unwellness. Jan Resnick begins by taking a critical look at psychiatry and psychology, especially the misuse and corruption of research that undergirds these practices. He goes on to offer an alternative perspective, understanding, and approach to issues of mental disorders. Resnick focuses upon the existential vacuum, a term originating in Viktor Frankl's classic text Man's Search for Meaning, which refers to feelings of emptiness, purposelessness, and meaninglessness. Feelings that are increasingly prevalent in our contemporary world. The existential vacuum points to a domain of experience not well described by the DSM or treated with a bio-medical approach.

A radically different thebangutic approach emerges through elaborating Winnicott's ideas in Playing and Reality, his last published work. Resnick shows how the capacity for meaning-making originates in early childhood development, and how this understanding can be applied to adult experience, thereby making psychotherapy a developmental process. Developmental psychotherapy aims to cultivate a greater capacity for play, creativity, relationship, and meaningful living. In addition, therapy must work toward relief of mental suffering, recovery from trauma, and mitigation, if not resolution, of psychological disorders. The theory is richly supported with clinical examples throughout the book, culminating in a long case study that integrates the ideas with clinical practice, which forms the final part of the book.

Dr Jan Resnick has created a must-read work for mental health practitioners the world over. His easy-to-read prose makes it accessible and of value to anyone concerned with issues of mental health and well-being, personal development and creating a meaning-full way of living.



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[Slon]

Erich Kamke - Differentialgleichungen Lösungsmethoden und Lösungen

German | 1977 | Vieweg+Teubner Verlag | ISBN: 9783663059264 (ISBN10: 366305926X) | 697 pages | PDF | 30 MB

Dieser Band 2 behandelt die partiellen Differentialgleichungen erster Ordnung sowie Systeme von solchen für eine gesuchte Funktion. Der erste Teil des Bandes enthält allgemeine Erörterungen über die Lösungs. verhältnisse und Lösungen, der zweite Teil rund 300 Einzel.Differential. gleichungen mit ihren Lösungen. Die unmittelbaren Anwendungen der partiellen Differentialgleichungen erster Ordnung in Physik und Technik sind weit spärlicher als die der Differentialgleichungen zweiter Ordnung, eher trifft man sie noch in der Differentialgeometrie an. Bei weiterem Nachforschen hätte sich wohl noch diese oder jene weitere Anwendung auffinden lassen. Gleichwohl veröffentliche ich den Band schon jetzt, in der Hoffnung, daß die Be. nutzer des Buches zu seiner Vervollkommnung mehr beisteuern werden, als es mir in der nächsten Zeit gelingen könnte. Ich werde für jede solche Zuschrift dankbar sein. Die zweite A uf)age ist, abgesehen von der Verbesserung von Druck. fehlern, ein unveränderter Abdruck der ersten Auflage. Tübingen, im September 1947. E. Kamke. Aus dem Vorwort zur dritten Auflage. Dieses Buch ist seit einer Reihe von Jahren vergriffen. Da immer wieder nach ihm gefragt wird und da im Rahmen des gesteckten Zieles z. Z. nicht sehr Wesentliches hinzuzufügen wäre, haben Verlag und Verfasser sich entschlossen, das Buch nach vorliegenden Platten nochmals zu drucken. Tü bingen, im März 1956. E. Kamke. Vorwort zur vierten Auflage. Von größeren sachlichen Änderungen ist auch bei der vierten Auflage abgesehen worden, jedoch sind die dem Verfasser bekannt gewordenen Fehler verbessert. T üb in gen, im Februar 1959. E. Kamke.


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[Slon]

Todor Tagarev (editor), Krassimir T. Atanassov (Editor), Vyacheslav Kharchenko (Editor), Janusz Kacprzyk (Editor) - Digital Transformation, Cyber Security and Resilience of Modern Societies

English | 2021 | Springer | ISBN: 9783030657215 (ISBN10: 3030657213) | 483 pages | PDF | 12 MB

This book presents the implementation of novel concepts and solutions, which allows to enhance the cyber security of administrative and industrial systems and the resilience of economies and societies to cyber and hybrid threats. This goal can be achieved by rigorous information sharing, enhanced situational awareness, advanced protection of industrial processes and critical infrastructures, and proper account of the human factor, as well as by adequate methods and tools for analysis of big data, including data from social networks, to find best ways to counter hybrid influence. The implementation of these methods and tools is examined here as part of the process of digital transformation through incorporation of advanced information technologies, knowledge management, training and testing environments, and organizational networking. The book is of benefit to practitioners and researchers in the field of cyber security and protection against hybrid threats, as well as to policymakers and senior managers with responsibilities in information and knowledge management, security policies, and human resource management and training.



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[Slon]

2013. editor: Tōkyō : Seikaisha - Kyarakutā shōsetsu no tsukurikata

Japanese | 2011 | Seikaisha | ISBN: 9784061385405 (ISBN10: 4061385402) | 352 pages | PDF | 86 MB


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