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    Python for Finance: Financial Analysis for Investing

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 449 3499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 449  ₹3,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Introduction

    • One Question
    • Get the most out of this course

    Setup

    • Introduction
    • Download Anaconda (includes Python and Jupyter notebook)
    • Resources and setup environment in Jupyter notebook
    • Prompt rating

    Jupyter Notebook guide

    • Introduction
    • Jupyter Notebook Cheat Sheet.
    • Jupyter Notebook: The Dashboard
    • Jupyter Notebook: Run and restart a Notebook
    • Jupyter Notebook: Copy and reorganize code
    • Jupyter Notebook: Comment and markdown
    • Jupyter Notebook: Tab + Tab + Shift & Tab
    • What did we learn? 

    Python Crash Course

    • Introduction
    • Variables and types
    • The print statement
    • Boolean expressions
    • If statements
    • Python lists
    • For-loops
    • While loops
    • Python Dictionaries (dict)
    • Other types
    • Functions
    • Lambda functions
    • Exercises
    • Solutions
    • New to Python? We have all been there
    • What did we learn?

    Lemonade Stand

    • Introduction
    • Intrinsic Value
    • Introduction to the Lemonade Stand
    • The Lemonade Stand - the easy to understand example
    • Jupyter Notebook: The Lemonade Stand
    • Shares
    • Shares a story - Understand what they really are
    • Jupyter Notebook: Shares
    • Dividend
    • Dividend a story - an easy way to understand them
    • Jupyter Notebook: Dividend
    • What did we learn?

    Pandas

    • Introduction
    • Introduction to Pandas - a small demonstration
    • Series
    • DataFrames - Part I
    • DataFrames - Part II
    • DataFrames - Part III
    • DataFrames - Part IV
    • DataFrames - Part V
    • Read and Write with Pandas - Part I
    • Read and Write with Pandas - Part II
    • Read and Write with Pandas - Part III
    • Merge - Join - Concatenate - Part I
    • Merge - Join - Concatenate - Part II
    • Transpose and clean data
    • Views
    • Useful methods to know
    • Apply - an awesome method to master
    • Exercises
    • Solutions
    • What did we learn?

    Intrinsic Value

    • Introduction
    • Outcome of section
    • Understand Risk - Part I
    • Understand Risk - Part II
    • Understand Rik - Part III
    • Understand Risk - All put together
    • Evaluate Leadership
    • Debt-to-Equity ration - Evaluation
    • Jupyter Notebook: Debt-to-Equity ratio
    • Current ratio - Evaluation
    • Jupyter Notebook - Current ratio
    • Stable and predictable
    • Return of Investment (ROI) - Evaluation
    • Jupyter Notebook: Return of Investment
    • Revenue - Evaluation
    • Jupyter Notebook: Revenue
    • Earnings Per Share (EPS) - Evaluation
    • Jupyter Notebook: Earnings Per Share (EPS)
    • Book Value - Evaluation
    • Jupyter Notebook: Book Value
    • Free Cash Flow (FCF) - Evaluation
    • Jupyter Notebook: Free Cash Flow (FCF)
    • Combine All Data
    • Jupyter Notebook: Combine All Data
    • Calculate a Fair Price (Intrinsic Value)
    • Price-to-Earnings (PE) ratio
    • Jupyter Notebook: Price-to-Earnings (PE) ratio
    • Jupyter Notebook: Calculate a Fair Price (Intrinsic Value)
    • Compare it with Current Price
    • What did we learn?

    Matplotlib

    • Introduction
    • Overview of section
    • Jupyter Notebook: Matplotlib basics
    • Jupyter Notebook: Work with Axis
    • Jupyter Notebook: Title and Labels
    • Jupyter Notebook: Matplotlib and Pandas
    • Jupyter Notebook: Pandas and data structures
    • Jupyter Notebook: Bar plots
    • Exercises
    • Solutions
    • What did we learn?

    Visualization and Excel Export of Financial Data

    • Introduction
    • Matplotlib - Part I
    • Matplotlib - Part II
    • Export to Excel - Part I
    • Export to Excel - Part II
    • Export to Excel - Part III
    • What did we learn?

    Data Sources

    • Introduction
    • What will we learn?
    • Pandas Datareader - Remote Data Access for Pandas
    • Jupyter Notebook: Pandas Datareader - Part I
    • Jupyter Notebook: Pandas Datareader - Part II
    • The Yahoo! Finance API - read Financial Statements
    • Jupyter Notebook: Yahoo! Finance - Financial Statements
    • Web Scraping
    • Jupyter Notebook: Web Scraping
    • Exercises
    • Solutions
    • What did we learn?

    Time Series Data

    • Introduction
    • Rate of Return, Percentage Change, and Normalization
    • Jupyter Notebook: Rate of Return, Percentage Change, and Normalization
    • CAGR
    • Jupyter Notebook: CAGR
    • Jupyter Notebook: Multiple Time Frames
    • Case Study: DOW Theory
    • Jupyter Notebook: Case Study: DOW Theory
    • What did we learn?

    Technical Indicators

    • Introduction
    • What is a Technical Indicator and Types of Indicators
    • Indicator: Moving Average
    • Jupyter Notebook: Simple Moving Average (MA)
    • Jupyter Notebook: Exponential Moving Average (EMA)
    • Indicator: MACD
    • Jupyter Notebook: MACD
    • Indicator: Stochastic Oscillator
    • Jupyter Notebook: Stochastic Oscillator
    • Jupyter Notebook: Exporting to Excel
    • Jupyter Notebook: Using our Excel Sheet
    • Exercises
    • Solutions
    • What did we learn?

    NumPy

    • Introduction
    • Jupyter Notebook: Introduction to NumPy
    • Jupyter Notebook: Index, Slicing, and Views
    • Jupyter Notebook: DataFrames and Series with NumPy
    • Jupyter Notebook: Vectorization with NumPy
    • Jupyter Notebook: Matplotlib and NumPy
    • Jupyter Notebook: Dot product and Transpose
    • Exercises
    • Solutions
    • What did we learn?

    Correlation and Linear Regression

    • Introduction
    • Adjusted Close
    • Volatility of a Stock
    • Jupyter Notebook: Volatility Calculations
    • Correlation Between Securities
    • Jupyter Notebook: Correlation Calculations
    • Linear Regression
    • Jupyter Notebook: Linear Regression
    • Beta
    • Jupyter Notebook: Beta Calculations
    • CAPM
    • Jupyter Notebook: CAPM Calculations
    • Exercises
    • Solutions
    • What did we learn?

    Working with Portfolios and Monte Carlo Simulations

    • Introduction
    • Portfolios
    • Jupyter Notebook: Portfolio
    • Sharpe Ratio
    • Jupyter Notebook: Sharpe Ratio Calculations
    • Monte Carlo Simulations
    • Jupyter Notebook: Monte Carlo Simulations - Introduction
    • Jupyter Notebook: Portfolios and Monte Carlo Simulations
    • Jupyter Notebook: The Efficient Frontier
    • Exercises
    • Solutions
    • What did we learn?

    Finish Line

    • Introduction
    • 3 Books to Read
    • Goodbye

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