Udemy - Python for Finance Investment Fundamentals & Data Analytics

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Udemy - Python for Finance Investment Fundamentals & Data Analytics (Size: 1.44 GB)
  1. Welcome! Course Introduction
  1. What Does the Course Cover.mp4 13.07 MB
  1. What Does the Course Cover.srt 7.18 KB
  2. Download Useful Resources - Exercises and Solutions.mp4 8.21 MB
  2. Download Useful Resources - Exercises and Solutions.srt 3.64 KB
  2.1 Python for Finance - FAQ.pdf.pdf 1008.64 KB
  2.2 Course Resources.html 134 B
  10. Advanced Python tools
  1. Object Oriented Programming.mp4 6.89 MB
  1. Object Oriented Programming.srt 6.1 KB
  10. Must-have packages - Quiz.html 167 B
  11. Working with arrays.mp4 7.91 MB
  11. Working with arrays.srt 6.92 KB
  11.1 Working with arrays - Resources.html 134 B
  12. Generating Random Numbers.mp4 3.85 MB
  12. Generating Random Numbers.srt 3.17 KB
  12.1 Generating Random Numbers - Resources.html 134 B
  13. A Note on Using Financial Data in Python.mp4 18.81 MB
  13. A Note on Using Financial Data in Python.srt 3.57 KB
  14. Sources of Financial Data.mp4 38.76 MB
  14. Sources of Financial Data.srt 8.29 KB
  15. Accessing the Notebook Files.mp4 9.96 MB
  15. Accessing the Notebook Files.srt 3.05 KB
  16. Importing and Organizing Data in Python – part I.mp4 24.05 MB
  16. Importing and Organizing Data in Python – part I.srt 4.14 KB
  16.1 Importing Data - Part I.html 134 B
  17. Importing and Organizing Data in Python – part II.A.mp4 66.6 MB
  17. Importing and Organizing Data in Python – part II.A.srt 7.98 KB
  17.1 Importing and Organizing Data in Python – Resources.html 134 B
  18. Importing and Organizing Data in Python – part II.B.mp4 36.82 MB
  18. Importing and Organizing Data in Python – part II.B.srt 5.06 KB
  18.1 Importing and Organizing Data in Python – Resources.html 134 B
  19. Importing and Organizing Data in Python – part III.mp4 8.05 MB
  19. Importing and Organizing Data in Python – part III.srt 4.53 KB
  19.1 Importing and Organizing Data in Python – Resources.html 134 B
  2. Object Oriented Programming - Quiz.html 167 B
  20. Changing the Index of Your Time-Series Data.mp4 10.18 MB
  20. Changing the Index of Your Time-Series Data.srt 3.5 KB
  20.1 Changing the Index of Your Time-Series - Resources.html 134 B
  21. Restarting the Jupyter Kernel.mp4 8.72 MB
  21. Restarting the Jupyter Kernel.srt 2.78 KB
  21.1 Restarting the Jupyter Kernel - Resources.html 134 B
  3. Modules and Packages.mp4 1.66 MB
  3. Modules and Packages.srt 1.33 KB
  4. Modules - Quiz.html 167 B
  5. The Standard Library.mp4 3.98 MB
  5. The Standard Library.srt 3.6 KB
  6. The Standard Library - Quiz.html 167 B
  7. Importing Modules.mp4 5.91 MB
  7. Importing Modules.srt 5.08 KB
  7.1 Importing Modules - Resources.html 134 B
  8. Importing Modules - Quiz.html 167 B
  9. Must-have packages for Finance and Data Science.mp4 8.63 MB
  9. Must-have packages for Finance and Data Science.srt 5.72 KB
  9.1 Must have packages for Finance and Data Science.html 134 B
  9.2 47 Packages Exercise.pdf.pdf 256.13 KB
  11. PART II FINANCE Calculating and Comparing Rates of Return in Python
  1. Considering both risk and return.mp4 6.18 MB
  1. Considering both risk and return.srt 2.87 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html 167 B
  11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.14 MB
  11. Calculating a Portfolio of Securities' Rate of Return.srt 9.67 KB
  11.1 Calculating the Return of a Portfolio of Securities - Resources.html 134 B
  12. Popular stock indices that can help us understand financial markets.mp4 5.57 MB
  12. Popular stock indices that can help us understand financial markets.srt 4.3 KB
  12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  13. Which of the following is not an index - Quiz.html 167 B
  14. Calculating the Indices' Rate of Return.mp4 9.31 MB
  14. Calculating the Indices' Rate of Return.srt 6.01 KB
  14.1 Indices_Data_2.csv.csv 112.19 KB
  14.2 Indices_Data_1.csv.csv 232.89 KB
  14.3 Calculating the Return of Indices - Resources.html 134 B
  2. Risk and return - Quiz.html 167 B
  3. What are we going to see next.mp4 4.06 MB
  3. What are we going to see next.srt 3.24 KB
  3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  4. Calculating a security's rate of return.mp4 8.38 MB
  4. Calculating a security's rate of return.srt 6.71 KB
  4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  5. Calculating a security's rate of return.html 167 B
  6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 10.56 MB
  6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.srt 6.37 KB
  6.1 Simple Returns - Part I - Resources.html 134 B
  7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 5.48 MB
  7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.srt 4.29 KB
  7.1 Simple Returns - Part II - Resources.html 134 B
  8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4 6.38 MB
  8. Calculating a Security’s Return in Python – Logarithmic Returns.srt 4.4 KB
  8.1 Logarithmic Returns - Resources.html 134 B
  9. What is a portfolio of securities and how to calculate its rate of return.mp4 4.32 MB
  9. What is a portfolio of securities and how to calculate its rate of return.srt 2.99 KB
  9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  12. PART II Finance Measuring Investment Risk
  1. How do we measure a security's risk.mp4 9.3 MB
  1. How do we measure a security's risk.srt 7.39 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.03 MB
  10. Calculating Covariance and Correlation.mp4 8.38 MB
  10. Calculating Covariance and Correlation.srt 5.78 KB
  10.1 Calculating Covariance and Correlation - Resources.html 134 B
  11. Considering the risk of multiple securities in a portfolio.mp4 7.75 MB
  11. Considering the risk of multiple securities in a portfolio.srt 4.03 KB
  11.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  12. Calculating Portfolio Risk.mp4 4.39 MB
  12. Calculating Portfolio Risk.srt 2.97 KB
  12.1 Calculating Portfolio Risk - Resources.html 134 B
  13. Understanding Systematic vs. Idiosyncratic risk.mp4 4.83 MB
  13. Understanding Systematic vs. Idiosyncratic risk.srt 3.57 KB
  13.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  14. Diversifiable Risk - Quiz.html 167 B
  15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 7.03 MB
  15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.srt 4.93 KB
  15.1 Diversifiable and Non-Diversifiable Risk - Resources.html 134 B
  2. Which of the following sentences is true - Quiz.html 167 B
  3. Calculating a Security’s Risk in Python.mp4 10.77 MB
  3. Calculating a Security’s Risk in Python.srt 7.01 KB
  3.1 Calculating the Risk of a Security - Resources.html 134 B
  4. The benefits of portfolio diversification.mp4 5.75 MB
  4. The benefits of portfolio diversification.srt 4.65 KB
  4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  5. Investing in stocks - Quiz.html 167 B
  6. Calculating the covariance between securities.mp4 5.88 MB
  6. Calculating the covariance between securities.srt 4.34 KB
  6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.03 MB
  7. Covariance - Quiz.html 167 B
  8. Measuring the correlation between stocks.mp4 5.69 MB
  8. Measuring the correlation between stocks.srt 4.81 KB
  8.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  9. Correlation - Quiz.html 167 B
  13. PART II Finance - Using Regressions for Financial Analysis
  1. The fundamentals of simple regression analysis.mp4 5.62 MB
  1. The fundamentals of simple regression analysis.srt 4.67 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  1.2 Housing Data.xlsx.xlsx 14.44 KB
  2. Regressions - Quiz.html 167 B
  3. Running a Regression in Python.mp4 10.03 MB
  3. Running a Regression in Python.srt 7.59 KB
  3.1 Running a Regression in Python - Resources.html 134 B
  3.2 Housing.xlsx.xlsx 10.04 KB
  4. Are all regressions created equal Learning how to distinguish good regressions.mp4 7.66 MB
  4. Are all regressions created equal Learning how to distinguish good regressions.srt 6.09 KB
  4.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  5. Regressions - Quiz.html 167 B
  6. Computing Alpha, Beta, and R Squared in Python.mp4 10.05 MB
  6. Computing Alpha, Beta, and R Squared in Python.srt 6.77 KB
  6.1 Housing.xlsx.xlsx 10.04 KB
  6.2 Computing Alpha, Beta, and R Squared in Python - Resources.html 134 B
  14. PART II Finance - Markowitz Portfolio Optimization
  1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 10.83 MB
  1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.srt 7.6 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.37 MB
  1.2 14. Markowitz Efficient frontier.xlsx.xlsx 15.49 KB
  2. Markowitz - Quiz.html 167 B
  3. Obtaining the Efficient Frontier in Python – Part I.mp4 8.8 MB
  3. Obtaining the Efficient Frontier in Python – Part I.srt 6.07 KB
  3.1 Markowitz_Data.csv.csv 58.62 KB
  3.2 Obtaining the Efficient Frontier in Python - Part I - Resources.html 134 B
  4. Obtaining the Efficient Frontier in Python – Part II.mp4 11.6 MB
  4. Obtaining the Efficient Frontier in Python – Part II.srt 5.94 KB
  4.1 Markowitz_Data.csv.csv 58.62 KB
  4.2 Obtaining the Efficient Frontier in Python - Part II - Resources.html 134 B
  5. Obtaining the Efficient Frontier in Python – Part III.mp4 3.76 MB
  5. Obtaining the Efficient Frontier in Python – Part III.srt 2.57 KB
  5.1 Obtaining the Efficient Frontier in Python - Part III - Resources.html 134 B
  5.2 Markowitz_Data.csv.csv 58.62 KB
  15. Part II Finance - The Capital Asset Pricing Model
  1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 7.53 MB
  1. The intuition behind the Capital Asset Pricing Model (CAPM).srt 6.12 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  10. Sharpe ratios - Quiz.html 167 B
  11. Obtaining the Sharpe ratio in Python.mp4 2.08 MB
  11. Obtaining the Sharpe ratio in Python.srt 1.62 KB
  11.1 CAPM_Data.csv.csv 40.72 KB
  11.2 Estimating the Sharpe Ratio in Python - Resources.html 134 B
  12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 6.46 MB
  12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.srt 5.3 KB
  12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  13. Alpha - Quiz.html 167 B
  2. CAPM - Quiz.html 167 B
  3. Understanding and calculating a security's Beta.mp4 6.33 MB
  3. Understanding and calculating a security's Beta.srt 5.23 KB
  3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  4. Beta - Quiz.html 167 B
  5. Calculating the Beta of a Stock.mp4 6.32 MB
  5. Calculating the Beta of a Stock.srt 4.27 KB
  5.1 Calculating the Beta of a Stock - Resources.html 134 B
  5.2 CAPM_Data.csv.csv 40.72 KB
  6. The CAPM formula.mp4 6.08 MB
  6. The CAPM formula.srt 5.43 KB
  6.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  7. CAPM - Quiz.html 167 B
  8. Calculating the Expected Return of a Stock (CAPM).mp4 3.98 MB
  8. Calculating the Expected Return of a Stock (CAPM).srt 2.91 KB
  8.1 CAPM_Data.csv.csv 40.72 KB
  8.2 Calculating the Expected Return of a Stock (CAPM) - Resources.html 134 B
  9. Introducing the Sharpe ratio and how to put it into practice.mp4 3.63 MB
  9. Introducing the Sharpe ratio and how to put it into practice.srt 3.04 KB
  9.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  16. Part II Finance Multivariate regression analysis
  1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 9.23 MB
  1. Multivariate regression analysis - a valuable tool for finance practitioners.srt 6.82 KB
  1.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  2. Multivariate Regressions - Quiz.html 167 B
  3. Running a multivariate regression in Python.mp4 15.38 MB
  3. Running a multivariate regression in Python.srt 7.71 KB
  3.1 Housing.xlsx.xlsx 10.04 KB
  3.2 Running a Multivariate Regression in Python - Resources.html 134 B
  17. PART II Finance - Monte Carlo simulations as a decision-making tool
  1. The essence of Monte Carlo simulations.mp4 4.06 MB
  1. The essence of Monte Carlo simulations.srt 3.22 KB
  1.1 The Essence of Monte Carlo Simulations - Resources.html 134 B
  1.2 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  10. Monte Carlo Forecasting Stock Prices - Part II.mp4 7.99 MB
  10. Monte Carlo Forecasting Stock Prices - Part II.srt 5.45 KB
  10.1 Predicting Stock Prices - Part II - Resources.html 134 B
  11. Monte Carlo Forecasting Stock Prices - Part III.mp4 7.1 MB
  11. Monte Carlo Forecasting Stock Prices - Part III.srt 5.19 KB
  11.1 Predicting Stock Prices - Part III - Resources.html 134 B
  12. An Introduction to Derivative Contracts.mp4 9.36 MB
  12. An Introduction to Derivative Contracts.srt 8.08 KB
  12.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  13. Derivatives - Quiz.html 167 B
  14. The Black Scholes Formula for Option Pricing.mp4 7.06 MB
  14. The Black Scholes Formula for Option Pricing.srt 5.97 KB
  14.1 Python for Finance Course Notes - Part II.pdf.pdf 1.02 MB
  15. Monte Carlo Black-Scholes-Merton.mp4 10.18 MB
  15. Monte Carlo Black-Scholes-Merton.srt 7.5 KB
  15.1 Monte Carlo Black-Scholes-Merton Resources.html 134 B
  16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html 167 B
  17. Monte Carlo Euler Discretization - Part I.mp4 10.82 MB
  17. Monte Carlo Euler Discretization - Part I.srt 7.96 KB
  17.1 Monte Carlo - Euler Discretization - Part I - Resources.html 134 B
  18. Monte Carlo Euler Discretization - Part II.mp4 3.57 MB
  18. Monte Carlo Euler Discretization - Part II.srt 2.88 KB
  18.1 Monte Carlo - Euler Discretization - Part II - Resources.html 134 B
  2. Monte Carlo - Quiz.html 167 B
  3. Monte Carlo applied in a Corporate Finance context.mp4 4.11 MB
  3. Monte Carlo applied in a Corporate Finance context.srt 2.98 KB
  3.1 Python for Finance Course Notes - Part II.pdf.pdf 1.03 MB
  4. Monte Carlo in Corporate Finance - Quiz.html 167 B
  5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.03 MB
  5. Monte Carlo Predicting Gross Profit – Part I.srt 6.96 KB
  5.1 Monte Carlo - Predicting Gross Profit - Part I - Resources.html 134 B
  6. Monte Carlo Predicting Gross Profit – Part II.mp4 4.85 MB
  6. Monte Carlo Predicting Gross Profit – Part II.srt 10.12 MB
  6.1 Monte Carlo - Predicting Gross Profit - Part II - Resources.html 134 B
  7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4 6.43 MB
  7. Forecasting Stock Prices with a Monte Carlo Simulation.srt 5.44 KB
  8. Monte Carlo Simulations - Quiz.html 167 B
  9. Monte Carlo Forecasting Stock Prices - Part I.mp4 5.91 MB
  9. Monte Carlo Forecasting Stock Prices - Part I.srt 4.24 KB
  9.1 Monte Carlo - Predicting Stock Prices - Part I - Resources.html 134 B
  18. BONUS LECTURE
  1. Bonus Lecture Next Steps.html 2.4 KB
  2. Introduction to programming with Python
  1. Programming Explained in 5 Minutes.mp4 14.9 MB
  1. Programming Explained in 5 Minutes.srt 6.9 KB
  1.1 Python for Finance - Course Notes - Part I.pdf.pdf 1.96 MB
  10. Jupyter’s Interface.html 167 B
  11. Python 2 vs Python 3 What's the Difference.mp4 13.59 MB
  11. Python 2 vs Python 3 What's the Difference.srt 3.5 KB
  11.1 Python for Finance - Course Notes - Part I.pdf.pdf 1.96 MB
  2. Programming Explained in 5 Minutes.html 167 B
  3. Why Python.mp4 15.66 MB
  3. Why Python.srt 6.96 KB
  4. Why Python.html 167 B
  5. Why Jupyter.mp4 9.87 MB
  5. Why Jupyter.srt 4.63 KB
  6. Why Jupyter.html 167 B
  7. Installing Python and Jupyter.mp4 53.8 MB
  7. Installing Python and Jupyter.srt 9.39 KB
  8. Jupyter’s Interface – the Dashboard.mp4 4.3 MB
  8. Jupyter’s Interface – the Dashboard.srt 3.73 KB
  9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.32 MB
  9. Jupyter’s Interface – Prerequisites for Coding.srt 7.72 KB
  9.1 Jupyter_Shortcuts.pdf.pdf 589.59 KB
  3. Python Variables and Data Types
  1. Variables.mp4 26.62 MB
  1. Variables.srt 6.17 KB
  1.1 Variables - Resources.html 134 B
  2. Variables.html 167 B
  3. Numbers and Boolean Values.mp4 4.46 MB
  3. Numbers and Boolean Values.srt 3.65 KB
  3.1 Numbers and Boolean Values - Resources.html 134 B
  4. Numbers and Boolean Values.html 167 B
  5. Strings.mp4 57.59 MB
  5. Strings.srt 15.84 KB
  5.1 Strings - Resources.html 134 B
  6. Strings.html 167 B
  4. Basic Python Syntax
  1. Arithmetic Operators.mp4 5.02 MB
  1. Arithmetic Operators.srt 4.15 KB
  1.1 Arithmetic Operators - Resources.html 134 B
  10. Indexing Elements.mp4 1.83 MB
  10. Indexing Elements.srt 1.71 KB
  10.1 Indexing Elements - Resources.html 134 B
  11. Indexing Elements.html 167 B
  12. Structure Your Code with Indentation.mp4 13.11 MB
  12. Structure Your Code with Indentation.srt 4.68 KB
  12.1 Structure Your Code with Indentation - Resources.html 134 B
  13. Structure Your Code with Indentation.html 167 B
  2. Arithmetic Operators.html 167 B
  3. The Double Equality Sign.mp4 1.94 MB
  3. The Double Equality Sign.srt 1.82 KB
  3.1 The Double Equality Sign - Resources.html 134 B
  4. The Double Equality Sign.html 167 B
  5. Reassign Values.mp4 1.43 MB
  5. Reassign Values.srt 1.29 KB
  5.1 Reassign Values - Resources.html 134 B
  6. Reassign values.html 167 B
  7. Add Comments.mp4 11.16 MB
  7. Add Comments.srt 3.87 KB
  7.1 Add Comments - Resources.html 134 B
  8. Add Comments.html 167 B
  9. Line Continuation.mp4 1007.08 KB
  9. Line Continuation.srt 1.1 KB
  9.1 Line Continuation - Resources.html 134 B
  5. Python Operators Continued
  1. Comparison Operators.mp4 2.9 MB
  1. Comparison Operators.srt 2.47 KB
  1.1 Comparison Operators - Resources.html 134 B
  2. Comparison Operators.html 167 B
  3. Logical and Identity Operators.mp4 7.88 MB
  3. Logical and Identity Operators.srt 5.66 KB
  3.1 Logical and Identity Operators - Resources.html 134 B
  4. Logical and Identity Operators.html 167 B
  6. Conditional Statements
  1. Introduction to the IF statement.mp4 23.22 MB
  1. Introduction to the IF statement.srt 7.6 KB
  1.1 Introduction to the If Statement - Resources.html 134 B
  2. Introduction to the IF statement.html 167 B
  3. Add an ELSE statement.mp4 23.27 MB
  3. Add an ELSE statement.srt 6.28 KB
  3.1 Add an Else Statement - Resources.html 134 B
  4. Else if, for Brief – ELIF.mp4 53.24 MB
  4. Else if, for Brief – ELIF.srt 13.19 KB
  4.1 Else if, for Brief - Elif - Resources.html 134 B
  5. A Note on Boolean values.mp4 19.93 MB
  5. A Note on Boolean values.srt 6.21 KB
  5.1 A Note on Boolean Values - Resources.html 134 B
  6. A Note on Boolean Values.html 167 B
  7. Python Functions
  1. Defining a Function in Python.mp4 14.74 MB
  1. Defining a Function in Python.srt 5.32 KB
  1.1 Defining a Function in Python - Resources.html 134 B
  2. Creating a Function with a Parameter.mp4 38.11 MB
  2. Creating a Function with a Parameter.srt 8.98 KB
  2.1 Creating a Function with a Parameter - Resources.html 134 B
  3. Another Way to Define a Function.mp4 25.25 MB
  3. Another Way to Define a Function.srt 6.42 KB
  3.1 Another Way to Define a Function - Resources.html 134 B
  4. Another Way to Define a Function.html 168 B
  5. Using a Function in another Function.mp4 2.3 MB
  5. Using a Function in another Function.srt 2.03 KB
  5.1 Using a Function in Another Function - Resources.html 134 B
  6. Combining Conditional Statements and Functions.mp4 4.35 MB
  6. Combining Conditional Statements and Functions.srt 3.55 KB
  6.1 Combining Conditional Statements and Functions - Resources.html 134 B
  7. Creating Functions Containing a Few Arguments.mp4 14.69 MB
  7. Creating Functions Containing a Few Arguments.srt 3 KB
  7.1 Creating Functions Containing a Few Arguments - Resources.html 134 B
  8. Notable Built-in Functions in Python.mp4 5.83 MB
  8. Notable Built-in Functions in Python.srt 4.17 KB
  8.1 Notable Built-In Functions in Python - Resources.html 134 B
  9. Functions.html 167 B
  8. Python Sequences
  1. Lists.mp4 37.72 MB
  1. Lists.srt 9.83 KB
  1.1 Lists - Resources.html 134 B
  2. Lists.html 167 B
  3. Using Methods.mp4 37.54 MB
  3. Using Methods.srt 8.36 KB
  3.1 Using Methods - Resources.html 134 B
  4. Using Methods.html 167 B
  5. List Slicing.mp4 7.36 MB
  5. List Slicing.srt 5.47 KB
  5.1 List Slicing - Resources.html 134 B
  6. Tuples.mp4 29.46 MB
  6. Tuples.srt 6.92 KB
  6.1 Tuples - Resources.html 134 B
  7. Dictionaries.mp4 41.75 MB
  7. Dictionaries.srt 8.43 KB
  7.1 Dictionaries - Resources.html 134 B
  8. Dictionaries.html 167 B
  9. Using Iterations in Python
  1. For Loops.mp4 23.53 MB
  1. For Loops.srt 6.58 KB
  1.1 For Loops - Resources.html 134 B
  2. For Loops.html 167 B
  3. While Loops and Incrementing.mp4 28.49 MB
  3. While Loops and Incrementing.srt 5.9 KB
  3.1 While Loops and Incrementing - Resources.html 134 B
  4. Create Lists with the range() Function.mp4 25.79 MB
  4. Create Lists with the range() Function.srt 7.66 KB
  4.1 Create Lists with the range() Function - Resources.html 134 B
  5. Create Lists with the range() Function.html 167 B
  6. Use Conditional Statements and Loops Together.mp4 27.78 MB
  6. Use Conditional Statements and Loops Together.srt 7.46 KB
  6.1 Use Conditional Statements and Loops Together - Resources.html 134 B
  7. All In – Conditional Statements, Functions, and Loops.mp4 2.85 MB
  7. All In – Conditional Statements, Functions, and Loops.srt 2.37 KB
  7.1 All In - Conditional Statements, Functions, and Loops - Resources.html 134 B
  8. Iterating over Dictionaries.mp4 29.64 MB
  8. Iterating over Dictionaries.srt 7.93 KB
  8.1 Iterating over Dictionaries - Resources.html 134 B
  Read Me.txt 1.02 KB
  [FreeAllCourse.Com].URL 228 B
  ▲ 389 total files

Description


Python for Finance Investment Fundamentals & Data Analytics



Learn Python Programming and Conduct Real-World Financial Analysis in Python – Complete Python Training

What you’ll learn?

Learn how to code in Python
Take your career to the next level
Work with Python’s conditional statements, functions, sequences, and loops
Work with scientific packages, like NumPy
Understand how to use the data analysis toolkit, Pandas
Plot graphs with Matplotlib
Use Python to solve real-world tasks
Get a job as a data scientist with Python
Acquire solid financial acumen
Carry out in-depth investment analysis
Build investment portfolios

Created by 365 Careers
Last updated 12/2019
English

For More Updated Udemy Courses: FreeAllCourse.Com

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