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Financial Analysis Fundamentals: A Python-based Approach

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Luís Cunha, PhD

3:50:07

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  • 1. Introduction to the Science of Finance.mp4
    01:54
  • 1. Financial Goal of the Corporation.mp4
    02:33
  • 1. Ethics in Finance.mp4
    02:19
  • 1. Financial Markets - First Overview.mp4
    02:52
  • 1. Python as a Tool in Finance.mp4
    01:58
  • 1. Introduction to Financial Statements.mp4
    03:06
  • 2. Introduction to Financial Ratios.mp4
    01:41
  • 3. Introduction to Financial Statement Analysis.mp4
    03:21
  • 4. Introduction to Limitations and Pitfalls of Financial Statement Analysis.mp4
    02:54
  • 5. Clarification of Financial Ratios using Python.mp4
    02:59
  • 1. TVM - Time Value of Money (Present Value and Future Value of Money).mp4
    02:49
  • 1. Introduction to Annuities and Perpetuities.mp4
    03:12
  • 1. Real and Nominal Interest Rates.mp4
    03:15
  • 1. Decision Making in Finance.mp4
    03:54
  • 1. Introduction to Equities.mp4
    04:34
  • 1. Stock Trading Basic.mp4
    03:42
  • 1. Introduction to ETFs.mp4
    03:45
  • 2. ETFs vs Mutual Funds.mp4
    03:58
  • 3. Choosing between ETFs and Mutual Funds.mp4
    05:02
  • 1. Dividend Discount Models.mp4
    03:25
  • 2. Introduction to Free Cash Flow Valuation.mp4
    04:03
  • 3. Relative Valuation.mp4
    04:26
  • 4. Implementation of Valuation Methods.mp4
    02:53
  • 1. Introduction to Quantitative Models in Finance.mp4
    04:00
  • 2. Regression Analysis.mp4
    03:33
  • 3. Time Series Analysis.mp4
    05:14
  • 4. Risk and Return.mp4
    03:29
  • 5. Role of Diversification on Risk.mp4
    04:29
  • 6. Risk Management.mp4
    04:56
  • 7. Tactical Asset Allocation.mp4
    04:03
  • 8. Risk Tolerance and Investment Objectives.mp4
    07:00
  • 1. Assessing Portfolio Performance.mp4
    03:41
  • 1. Human Emotions, Cognitions and Behaviors in Finance and the Role of Bias.mp4
    03:42
  • 1. Corporate Finance Topics.mp4
    03:56
  • 1. Introduction to Derivatives.mp4
    05:02
  • 2. Risk Management with Derivatives.mp4
    04:39
  • 3. Alternative Investments.mp4
    04:31
  • 4. International Financial Markets.mp4
    04:24
  • 5. Globalization.mp4
    05:02
  • 6. Exchange Rates and International Trade.mp4
    03:09
  • 7. Currency Risk.mp4
    03:10
  • 8. Review and Complements on Financial Risk Management.mp4
    03:36
  • 9. Hedging Techniques.mp4
    02:36
  • 1. Technical Analysis with Google Finance and Yahoo Finance.mp4
    28:17
  • 1. Fundamental Analysis with Google Finance Yahoo Finance Data.mp4
    43:03
  • 1.1 Commuter Notes - All mp3 Files.zip
  • 1.2 Financial Analysis Fundamentals - Numbered.pdf
  • 1.3 Financial Analysis Fundamentals - Slides.pdf
  • 1. All mp3 files in a zip folder.html
  • Description


    Learn the basics of financial analysis and Python integration for a solid foundation in finance.

    What You'll Learn?


    • Introduction to Finance: Understand the fundamental principles of finance, including its definition and goals.
    • Financial Statements Analysis: Learn how to read and interpret financial statements such as income statements, balance sheets, and cash flow statements.
    • Ethical Considerations in Finance: Gain insights into the importance of ethics in finance, including corporate social responsibility and sustainable practices.
    • Investment Analysis and Decision Making: Develop the skills to evaluate investment opportunities using various methods such as NPV, IRR, and technical analysis.

    Who is this for?


  • Students or professionals interested in finance, accounting, or business management.
  • Aspiring financial analysts or investment advisors looking to build a strong foundation in finance.
  • Entrepreneurs and business owners seeking to understand financial principles to manage their businesses better.
  • What You Need to Know?


  • Basic understanding of mathematics.
  • Familiarity with using a computer and basic software.
  • No prior knowledge of finance is required, but an interest in financial topics will be beneficial.
  • More details


    Description

    Welcome to Financial Analysis Fundamentals: A Python-Based Approach. This course offers a unique way to learn and consolidate financial concepts through Python programming. Whether you're a programmer eager to understand finance, a finance professional looking to learn Python, or new to both, this course is tailored to you.

    If you know Python but are new to finance, you'll use your programming skills to demystify financial concepts that are often presented abstractly. For those with a finance background, this course integrates Python into your skillset, enhancing your ability to perform financial analysis.

    Even if you're starting from scratch, Python’s simplicity makes it an ideal tool to introduce and clarify financial topics, providing a solid foundation for your learning journey.

    You'll begin with the fundamentals of finance, exploring core concepts like the financial goal of corporations and shareholder wealth maximization. We'll cover key areas such as financial markets, interpreting financial statements, and essential financial ratios.

    The course also explores the concepts of time value of money, investment analysis, capital budgeting, and stock trading, using Python to make these topics accessible and practical.


    Disclaimer: This course is for educational purposes only and does not provide financial, legal, or tax advice. Consult a qualified professional before making any financial decisions. The creators and instructors are not responsible for actions taken based on the information provided.

    Who this course is for:

    • Students or professionals interested in finance, accounting, or business management.
    • Aspiring financial analysts or investment advisors looking to build a strong foundation in finance.
    • Entrepreneurs and business owners seeking to understand financial principles to manage their businesses better.

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    Luís Cunha, PhD
    Luís Cunha, PhD
    Instructor's Courses
    I did undergraduate and postgraduate studies both in Psychology and in Computer Science.I taught Psychology / Neuropsychology courses at University for many years, and I got the level of Advanced Specialist in Neuropsychology by OPP (the official entity that regulates psychologists in Portugal)Afterwards, I graduated in Computer Science and I did a PhD in Information Science, in which I had to apply structural equation modelling (using software such as Amos and R).Today, I teach Artificial Intelligence, Object Oriented Programming, System Analysis, Software Engineering, Interface Design, and Multivariate Statistics.My main area of work is Applied Statistics, Research Methods, and Machine Learning (with a particular focus on Neural Networks / Deep Learning).In recent years, I developed a deep interest in both the science of Finance and themes related to Financial Literacy Education. Finance provides me with a fresh way to apply my interest in quantitative analysis, psychological phenomena, and information technology.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 45
    • duration 3:50:07
    • Release Date 2024/10/15