Financial Analysis with Python

What’s included

$14.99 / $24.99

Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.

4.59

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Video Courses

Course Materials and Set-up

Lectures	Duration
1. Course Installation Guide	9m

1. Course Installation Guide

Python Crash Course

Lectures	Duration
1. Welcome to the Python Crash Course	1m
2. Introduction to Crash Course	1m
3. Python Crash Course Part One	19m
4. Python Crash Course Part Two	14m
5. Python Crash Course Part Three	15m
6. Python Crash Course Exercises	4m
7. Python Crash Course Exercise Solutions	9m

1. Welcome to the Python Crash Course

2. Introduction to Crash Course

3. Python Crash Course Part One

19m

4. Python Crash Course Part Two

14m

5. Python Crash Course Part Three

15m

6. Python Crash Course Exercises

7. Python Crash Course Exercise Solutions

NumPy

Lectures	Duration
1. Welcome to NumPy	1m
2. Introduction to NumPy	2m
3. NumPy Arrays	16m
4. Numpy Operations	4m
5. Numpy Indexing	11m
6. NumPy Review Exercise	4m
7. Numpy Exercise Solutions	10m

1. Welcome to NumPy

2. Introduction to NumPy

3. NumPy Arrays

16m

4. Numpy Operations

5. Numpy Indexing

11m

6. NumPy Review Exercise

7. Numpy Exercise Solutions

10m

General Pandas Overview

Lectures	Duration
1. Welcome to Pandas	1m
2. Introduction to Pandas	3m
3. Series	7m
4. DataFrames	16m
5. DataFrames Part Two	17m
6. DataFrames Part Three	9m
7. Missing Data	6m
8. Group By with Pandas	7m
9. Merging, Joining, and Concatenating DataFrames	9m
10. Pandas Common Operations	12m
11. Data Input and Output	14m
12. General Pandas Review Exercises	3m
13. General Pandas Exercise Solutions	13m

1. Welcome to Pandas

2. Introduction to Pandas

3. Series

4. DataFrames

16m

5. DataFrames Part Two

17m

6. DataFrames Part Three

7. Missing Data

8. Group By with Pandas

9. Merging, Joining, and Concatenating DataFrames

10. Pandas Common Operations

12m

11. Data Input and Output

14m

12. General Pandas Review Exercises

13. General Pandas Exercise Solutions

13m

Visualization with Matplotlib and Pandas

Lectures	Duration
1. Welcome to Visualization	1m
2. Introduction to Visualization in Python	2m
3. Matplotlib Basics - Part One	19m
4. Matplotlib Basics - Part Two	16m
5. Matplotlib Part Three	12m
6. Matplotlib Exercise	4m
7. Matplotlib Exercise Solutions	10m
8. Pandas Visualization Overview	12m
9. Pandas Time Series Visualization	18m
10. Pandas Visualization Exercise Overview	1m
11. Pandas Visualization Exercise Solutions	9m

1. Welcome to Visualization

2. Introduction to Visualization in Python

3. Matplotlib Basics - Part One

19m

4. Matplotlib Basics - Part Two

16m

5. Matplotlib Part Three

12m

6. Matplotlib Exercise

7. Matplotlib Exercise Solutions

10m

8. Pandas Visualization Overview

12m

9. Pandas Time Series Visualization

18m

10. Pandas Visualization Exercise Overview

11. Pandas Visualization Exercise Solutions

Data Sources

Lectures	Duration
1. Introduction to Data Sources	1m
2. Pandas DataReader	5m
3. Quandl	10m

1. Introduction to Data Sources

2. Pandas DataReader

3. Quandl

10m

Pandas with Time Series Data

Lectures	Duration
1. Welcome to Pandas for Time Series	1m
2. Introduction to Time Series with Pandas	1m
3. Datetime Index	10m
4. Time Resampling	13m
5. Time Shifts	6m
6. Pandas Rolling and Expanding	18m

1. Welcome to Pandas for Time Series

2. Introduction to Time Series with Pandas

3. Datetime Index

10m

4. Time Resampling

13m

5. Time Shifts

6. Pandas Rolling and Expanding

18m

Capstone Stock Market Analysis Project

Lectures	Duration
1. Stock Market Analysis Project	7m
2. Stock Market Analysis Project Solutions Part One	20m
3. Python Stock Market Analysis Solutions - Part Two	10m
4. Stock Market Analysis Project Solutions Part Three	17m
5. Stock Market Analysis Project Solutions Part Four	8m

1. Stock Market Analysis Project

2. Stock Market Analysis Project Solutions Part One

20m

3. Python Stock Market Analysis Solutions - Part Two

10m

4. Stock Market Analysis Project Solutions Part Three

17m

5. Stock Market Analysis Project Solutions Part Four

Time Series Analysis

Lectures	Duration
1. Introduction to Time Series	3m
2. Time Series Basics	4m
3. Introduction to Statsmodels	12m
4. ETS Theory	4m
5. EWMA Theory	3m
6. EWMA Code Along	14m
7. ETS Code Along	6m
8. ARIMA Theory	10m
9. ACF and PACF	6m
10. ARIMA with Statsmodels	12m
11. ARIMA Code Part Two	14m
12. ARIMA Code Part Three	7m
13. ARIMA Code Part Four	14m

1. Introduction to Time Series

2. Time Series Basics

3. Introduction to Statsmodels

12m

4. ETS Theory

5. EWMA Theory

6. EWMA Code Along

14m

7. ETS Code Along

8. ARIMA Theory

10m

9. ACF and PACF

10. ARIMA with Statsmodels

12m

11. ARIMA Code Part Two

14m

12. ARIMA Code Part Three

13. ARIMA Code Part Four

14m

Python Finance Fundamentals

Lectures	Duration
1. Introduction to Python Finance Fundamentals	1m
2. Sharpe Ratio Slides	7m
3. Portfolio Allocation Code Along Part One	16m
4. Portfolio Allocation Code Along Part Two	7m
5. Portfolio Optimization	5m
6. Portfolio Optimization Code Along One	15m
7. Portfolio Optimization Code Along Two	8m
8. Portfolio Optimization Code Along Three	17m
9. Key Financial Topics	1m
10. Types of Funds	6m
11. Order Books	15m
12. Short Selling	3m
13. CAPM - Capital Asset Pricing Model	5m
14. CAPM Code Along	12m
15. Stock Splits and Dividends	3m
16. EMH	2m

1. Introduction to Python Finance Fundamentals

2. Sharpe Ratio Slides

3. Portfolio Allocation Code Along Part One

16m

4. Portfolio Allocation Code Along Part Two

5. Portfolio Optimization

6. Portfolio Optimization Code Along One

15m

7. Portfolio Optimization Code Along Two

8. Portfolio Optimization Code Along Three

17m

9. Key Financial Topics

10. Types of Funds

11. Order Books

15m

12. Short Selling

13. CAPM - Capital Asset Pricing Model

14. CAPM Code Along

12m

15. Stock Splits and Dividends

16. EMH

Basics of Algorithmic Trading with Quantopian

Lectures	Duration
1. Introduction to Quantopian	9m
2. Quantopian Research Basics	17m
3. Quantopian Algorithms Basics Part One	16m
4. Quantopian Algorithms Basics Part Two	17m
5. First Trading Algorithm - Part One	17m
6. First Trading Algorithm - Part Two	17m
7. Trading Algorithm Exercise	5m
8. Trading Algorithm Exercise Solutions Part One	13m
9. Trading Algorithm Exercise Solutions Part Two	3m
10. Quantopian Pipelines Factors	17m
11. Quantopian Pipelines Filters	6m
12. Quantopian Pipeline - Masking and Classifiers	9m

1. Introduction to Quantopian

2. Quantopian Research Basics

17m

3. Quantopian Algorithms Basics Part One

16m

4. Quantopian Algorithms Basics Part Two

17m

5. First Trading Algorithm - Part One

17m

6. First Trading Algorithm - Part Two

17m

7. Trading Algorithm Exercise

8. Trading Algorithm Exercise Solutions Part One

13m

9. Trading Algorithm Exercise Solutions Part Two

10. Quantopian Pipelines Factors

17m

11. Quantopian Pipelines Filters

12. Quantopian Pipeline - Masking and Classifiers

Advanced Quantopian and Trading Algorithms

Lectures	Duration
1. Welcome to Trading Algorithms	1m
2. Pipeline Trading Algorithm Example - Code Along - Part One	14m
3. Pipeline Trading Algorithm - Code Along - Part Two	10m
4. Quick note	1m
5. Pipeline Trading Algorithm Code along Part Three	19m
6. Leverage	13m
7. Hedging	14m
8. Hedging- Part Two	15m
9. Portfolio Analysis with PyFolio	15m
10. Stock Sentiment Analysis Project	16m
11. What are Futures?	9m
12. Futures on Quantopian	18m

1. Welcome to Trading Algorithms

2. Pipeline Trading Algorithm Example - Code Along - Part One

14m

3. Pipeline Trading Algorithm - Code Along - Part Two

10m

4. Quick note

5. Pipeline Trading Algorithm Code along Part Three

19m

6. Leverage

13m

7. Hedging

14m

8. Hedging- Part Two

15m

9. Portfolio Analysis with PyFolio

15m

10. Stock Sentiment Analysis Project

16m

11. What are Futures?

12. Futures on Quantopian

18m