Data Analytics & Python for Finance
IntermediateAssumes foundational knowledge. Builds on basics.
Learn to analyze financial data using Python. Master NumPy, Pandas, data visualization, portfolio analytics, technical analysis, financial modeling, and statistical analysis. Build real-world projects including an automated investment research system.
Course Content
13 modules • 26 lessons
1
Course Introduction
1 lesson2
Module 1: Getting Started with Python
6 lessons3
Module 2: Essential Python Libraries
5 lessons4
Module 3: Financial Data Sources
2 lessons5
Module 4: Exploratory Data Analysis
4 lessons6
Module 5: Data Visualization
1 lesson7
Module 6: Portfolio Analytics
1 lesson8
Module 7: Technical Analysis
1 lesson9
Module 8: Financial Modeling
1 lesson10
Module 9: Statistical Analysis
1 lesson11
Module 10: Capstone Project
1 lesson12
Module 11: Advanced Topics & Next Steps
1 lesson13
Course Conclusion
1 lesson
