The Financial Analysis in Python
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100 Lectures
6h 26m 34s
Prepare for your examination with our training course. The course contains a complete batch of videos that will provide you with profound and thorough knowledge related to certification exam. Pass the test with flying colors.
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Curriculum For This Course
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1. Programming Explained in 5 Minutes5m 4s
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2. Why Python?5m 11s
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3. Why Jupyter?3m 29s
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4. Installing Python and Jupyter4m 22s
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5. Jupyter's Interface - the Dashboard3m 15s
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6. Jupyter's Interface - Prerequisites for Coding6m 15s
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1. Variables3m 41s
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2. Numbers and Boolean Values3m 5s
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3. Strings5m 43s
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1. Arithmetic Operators3m 23s
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2. The Double Equality Sign1m 33s
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3. Reassign Values1m 8s
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4. Add Comments1m 25s
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5. Line Continuation50s
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6. Indexing Elements1m 18s
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7. Structure Your Code with Indentation1m 45s
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1. Comparison Operators2m 10s
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2. Logical and Identity Operators5m 36s
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1. Introduction to the IF statement3m 4s
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2. Add an ELSE statement2m 39s
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3. Else if, for Brief - ELIF5m 33s
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4. A Note on Boolean values2m 13s
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1. Defining a Function in Python2m 3s
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2. Creating a Function with a Parameter3m 49s
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3. Another Way to Define a Function2m 35s
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4. Using a Function in another Function1m 49s
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5. Creating Functions Containing a Few Arguments1m 13s
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6. Notable Built-in Functions in Python3m 56s
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1. Lists4m 2s
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2. Using Methods3m 22s
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3. List Slicing4m 31s
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4. Tuples3m 13s
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5. Dictionaries4m 4s
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1. For Loops2m 26s
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2. While Loops and Incrementing2m 26s
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3. Create Lists with the range() Function2m 22s
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4. Use Conditional Statements and Loops Together3m 5s
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5. All In - Conditional Statements, Functions, and Loops2m 27s
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6. Iterating over Dictionaries3m 7s
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1. Object Oriented Programming5m
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2. Modules and Packages1m 5s
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3. The Standard Library2m 47s
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4. Importing Modules4m 10s
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5. Must-have packages for Finance and Data Science4m 53s
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6. Working with arrays6m 2s
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7. Generating Random Numbers2m 52s
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8. Importing and Organizing Data in Python - part I3m 44s
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9. Importing and Organizing Data in Python - part II7m 1s
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10. Importing and Organizing Data in Python - part III4m 19s
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1. Considering both risk and return2m 19s
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2. What are we going to see next2m 34s
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3. Calculating a security's rate of return5m 31s
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4. Calculating a Security's Rate of Return in Python - Simple Returns - Part I5m 23s
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5. Calculating a Security's Rate of Return in Python - Simple Returns - Part II3m 28s
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6. Calculating a Security's Return in Python - Logarithmic Returns3m 39s
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7. What is a portfolio of securities and how to calculate its rate of return2m 39s
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8. Calculating the Rate of Return of a Portfolio of Securities8m 34s
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9. Popular stock indices that can help us understand financial markets3m 31s
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10. Calculating the Rate of Return of Indices5m 3s
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1. How do we measure a security's risk6m 5s
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2. Calculating a Security's Risk in Python5m 56s
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3. The benefits of portfolio diversification3m 28s
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4. Calculating the covariance between securities3m 35s
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5. Measuring the correlation between stocks3m 59s
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6. Calculating Covariance and Correlation5m
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7. Considering the risk of multiple securities in a portfolio3m 19s
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8. Calculating Portfolio Risk2m 39s
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9. Understanding Systematic vs2m 58s
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10. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio4m 28s
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1. The fundamentals of simple regression analysis3m 55s
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2. Running a Regression in Python6m 35s
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3. Are all regressions created equal? Learning how to distinguish good regressions4m 55s
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4. Computing Alpha, Beta, and R Squared in Python6m 14s
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1. Markowitz Portfolio Theory - One of the main pillars of modern Finance6m 34s
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2. Obtaining the Efficient Frontier in Python - Part I5m 35s
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3. Obtaining the Efficient Frontier in Python - Part II5m 18s
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4. Obtaining the Efficient Frontier in Python - Part III2m 7s
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1. The intuition behind the Capital Asset Pricing Model (CAPM)4m 45s
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2. Understanding and calculating a security's Beta4m 14s
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3. Calculating the Beta of a Stock3m 38s
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4. The CAPM formula4m 20s
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5. Calculating the Expected Return of a Stock (CAPM)2m 16s
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6. Introducing the Sharpe ratio and the way it can be applied in practice2m 21s
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7. Obtaining the Sharpe ratio in Python1m 23s
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8. Measuring alpha and verifying how good (or bad) a portfolio manager is doing4m 13s
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1. Multivariate regression analysis - a valuable tool for finance practitioners5m 42s
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2. Running a multivariate regression in Python6m 20s
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1. The essence of Monte Carlo simulations2m 32s
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2. Monte Carlo applied in a Corporate Finance context2m 30s
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3. Monte Carlo: Predicting Gross Profit - Part I6m 3s
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4. Monte Carlo: Predicting Gross Profit - Part II2m 57s
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5. Forecasting Stock Prices with a Monte Carlo Simulation4m 27s
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6. Monte Carlo: Forecasting Stock Prices - Part I3m 39s
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7. Monte Carlo: Forecasting Stock Prices - Part II4m 38s
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8. Monte Carlo: Forecasting Stock Prices - Part III4m 17s
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9. An Introduction to Derivative Contracts6m 32s
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10. The Black Scholes Formula for Option Pricing4m 51s
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11. Monte Carlo: Black-Scholes-Merton6m
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12. Monte Carlo: Euler Discretization - Part I6m 21s
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13. Monte Carlo: Euler Discretization - Part II2m 9s
