The Financial Analysis in Python Video Course

Curriculum For This Course

• 1. Introduction to programming with Python 6 Videos 00:27:36
  • Programming Explained in 5 Minutes 05:04
  • Why Python? 05:11
  • Why Jupyter? 03:29
  • Installing Python and Jupyter 04:22
  • Jupyter's Interface - the Dashboard 03:15
  • Jupyter's Interface - Prerequisites for Coding 06:15
• 2. Python Variables and Data Types 3 Videos 00:12:29
  • Variables 03:41
  • Numbers and Boolean Values 03:05
  • Strings 05:43
• 3. Basic Python Syntax 7 Videos 00:11:20
  • Arithmetic Operators 03:23
  • The Double Equality Sign 01:33
  • Reassign Values 01:08
  • Add Comments 01:25
  • Line Continuation 00:50
  • Indexing Elements 01:18
  • Structure Your Code with Indentation 01:45
• 4. Python Operators Continued 2 Videos 00:07:45
  • Comparison Operators 02:10
  • Logical and Identity Operators 05:36
• 5. Conditional Statements 4 Videos 00:13:29
  • Introduction to the IF statement 03:04
  • Add an ELSE statement 02:39
  • Else if, for Brief - ELIF 05:33
  • A Note on Boolean values 02:13
• 6. Python Functions 6 Videos 00:15:25
  • Defining a Function in Python 02:03
  • Creating a Function with a Parameter 03:49
  • Another Way to Define a Function 02:35
  • Using a Function in another Function 01:49
  • Creating Functions Containing a Few Arguments 01:13
  • Notable Built-in Functions in Python 03:56
• 7. Python Sequences 5 Videos 00:19:11
  • Lists 04:02
  • Using Methods 03:22
  • List Slicing 04:31
  • Tuples 03:13
  • Dictionaries 04:04
• 8. Using Iterations in Python 6 Videos 00:15:53
  • For Loops 02:26
  • While Loops and Incrementing 02:26
  • Create Lists with the range() Function 02:22
  • Use Conditional Statements and Loops Together 03:05
  • All In - Conditional Statements, Functions, and Loops 02:27
  • Iterating over Dictionaries 03:07
• 9. Advanced Python tools 10 Videos 00:41:53
  • Object Oriented Programming 05:00
  • Modules and Packages 01:05
  • The Standard Library 02:47
  • Importing Modules 04:10
  • Must-have packages for Finance and Data Science 04:53
  • Working with arrays 06:02
  • Generating Random Numbers 02:52
  • Importing and Organizing Data in Python - part I 03:44
  • Importing and Organizing Data in Python - part II 07:01
  • Importing and Organizing Data in Python - part III 04:19
• 10. PART II FINANCE: Calculating and Comparing Rates of Return in Python 10 Videos 00:42:55
  • Considering both risk and return 02:19
  • What are we going to see next 02:34
  • Calculating a security's rate of return 05:31
  • Calculating a Security's Rate of Return in Python - Simple Returns - Part I 05:23
  • Calculating a Security's Rate of Return in Python - Simple Returns - Part II 03:28
  • Calculating a Security's Return in Python - Logarithmic Returns 03:39
  • What is a portfolio of securities and how to calculate its rate of return 02:39
  • Calculating the Rate of Return of a Portfolio of Securities 08:34
  • Popular stock indices that can help us understand financial markets 03:31
  • Calculating the Rate of Return of Indices 05:03
• 11. PART II Finance: Measuring Investment Risk 10 Videos 00:41:24
  • How do we measure a security's risk 06:05
  • Calculating a Security's Risk in Python 05:56
  • The benefits of portfolio diversification 03:28
  • Calculating the covariance between securities 03:35
  • Measuring the correlation between stocks 03:59
  • Calculating Covariance and Correlation 05:00
  • Considering the risk of multiple securities in a portfolio 03:19
  • Calculating Portfolio Risk 02:39
  • Understanding Systematic vs. Idiosyncratic risk 02:58
  • Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio 04:28
• 12. PART II Finance - Using Regressions for Financial Analysis 4 Videos 00:21:39
  • The fundamentals of simple regression analysis 03:55
  • Running a Regression in Python 06:35
  • Are all regressions created equal? Learning how to distinguish good regressions 04:55
  • Computing Alpha, Beta, and R Squared in Python 06:14
• 13. PART II Finance - Markowitz Portfolio Optimization 4 Videos 00:19:34
  • Markowitz Portfolio Theory - One of the main pillars of modern Finance 06:34
  • Obtaining the Efficient Frontier in Python - Part I 05:35
  • Obtaining the Efficient Frontier in Python - Part II 05:18
  • Obtaining the Efficient Frontier in Python - Part III 02:07
• 14. Part II Finance - The Capital Asset Pricing Model 8 Videos 00:27:08
  • The intuition behind the Capital Asset Pricing Model (CAPM) 04:45
  • Understanding and calculating a security's Beta 04:14
  • Calculating the Beta of a Stock 03:38
  • The CAPM formula 04:20
  • Calculating the Expected Return of a Stock (CAPM) 02:16
  • Introducing the Sharpe ratio and the way it can be applied in practice 02:21
  • Obtaining the Sharpe ratio in Python 01:23
  • Measuring alpha and verifying how good (or bad) a portfolio manager is doing 04:13
• 15. Part II Finance: Multivariate regression analysis 2 Videos 00:12:02
  • Multivariate regression analysis - a valuable tool for finance practitioners 05:42
  • Running a multivariate regression in Python 06:20
• 16. PART II Finance - Monte Carlo simulations as a decision-making tool 13 Videos 00:56:54
  • The essence of Monte Carlo simulations 02:32
  • Monte Carlo applied in a Corporate Finance context 02:30
  • Monte Carlo: Predicting Gross Profit - Part I 06:03
  • Monte Carlo: Predicting Gross Profit - Part II 02:57
  • Forecasting Stock Prices with a Monte Carlo Simulation 04:27
  • Monte Carlo: Forecasting Stock Prices - Part I 03:39
  • Monte Carlo: Forecasting Stock Prices - Part II 04:38
  • Monte Carlo: Forecasting Stock Prices - Part III 04:17
  • An Introduction to Derivative Contracts 06:32
  • The Black Scholes Formula for Option Pricing 04:51
  • Monte Carlo: Black-Scholes-Merton 06:00
  • Monte Carlo: Euler Discretization - Part I 06:21
  • Monte Carlo: Euler Discretization - Part II 02:09