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01 Getting Started
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02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----
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03 How to use Python as a Calculator for basic Time Value of Money Problems
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04 How to use Lists and For Loops for TVM Problems with many Cashflows
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05 100 Python Objects Data Types Operators Functional Programming
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06 How to solve for IRR YTM with While Loops and Conditional Statements
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07 How to create great graphs with Matplotlib - Plotting NPV and IRR
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08 The Numpy Package Working with numbers made easy
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09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy
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10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---
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11 How to perform Descriptive Statistics on Populations and Samples
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12 Common Probability Distributions and how to construct Confidence Intervals
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13 How to estimate Population parameters with Samples - Sampling and Estimation
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14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more
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15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---
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16 n-dimensional Numpy Arrays How to work with numerical Tabular Data
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17 How to create your own user-defined Functions
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18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy
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19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---
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20 Pandas Basics - Starting from Zero
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21 Pandas Intermediate
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22 Data Visualization with Pandas Matplotlib and Seaborn
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23 Pandas Advanced
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24 Managing Time Series and Financial Data with Pandas
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25 Creating analyzing and optimizing Financial Portfolios with Python
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26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---
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27 Correlation and Regression
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28 OLS Regression ANOVA and Hypothesis Testing
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29 Multiple Regression Models
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30 Case Study Multi-Factor Models (Fama-French)
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31 Issues in Linear Regression Analysis and Logistic Regression
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32 What s next
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Download Paid Udemy Courses For Free.url
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