Course outline for Python for data science in finance

1. Ability to program in python
2. Deep understanding of OS manipulation using python
3. Basic understanding of statistical mathematics

Requirements:

1. Computer (PC / Laptop) with at least two screens (for remote learning only)
2. Browser
3. Fast internet connection and full access to google
4. Web camera (for remote learning only)
5. Microphone (for remote learning only)
6. Conferencing software (Zoom / Webex / MS Teams)

Learning outcome:

1. Overview of python basics.
2. IDEs of python.
3. Understand the basic syntax structures.
4. Get updated on recent syntax changes in python 3.8 and 3.9 respectively.
5. Advanced Data handling in python.
6. Working with external libraries in python.
7. Working with files and encoding.
8. Understand different forms of data acquisition.
9. Data Extraction and conversion.
10. Learn statistical analytics of data.
11. Use Python to get the basics of Data Analytics.
12. Use simple scripting to present data.
13. Have the ability to visualize data and manipulate them using simple python.
14. Understand how data science delves into Machine Learning.
15. Machine learning and coding in python using Scikit Learn
16. Machine learning and coding in python usingXGBoost
17. Using machine learning for predictions and analytics.
18. Data Acquisition and scraping.