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 lessons2
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 lessons7
Module 6: Portfolio Analytics
1 lessons8
Module 7: Technical Analysis
1 lessons9
Module 8: Financial Modeling
1 lessons10
Module 9: Statistical Analysis
1 lessons11
Module 10: Capstone Project
1 lessons12
Module 11: Advanced Topics & Next Steps
1 lessons13
Course Conclusion
1 lessonsSign in to leave a review
