Linear Algebra and Regression Fundamentals for Data Science
Completed by Simon Brunel
February 20, 2026
16 hours (approximately)
Simon Brunel's account is verified. Coursera certifies their successful completion of Linear Algebra and Regression Fundamentals for Data Science
What you will learn
Master vector and matrix arithmetic, and eigen calculations using NumPy for data science tasks.
Solve linear equations, and invert matrices using Python’s Pandas for efficient data handling.
Implement ordinary least squares regression to fit linear models, and predict data trends.
Visualize data effectively using Python libraries for insightful data analysis and presentation.
Skills you will gain
- Category: Data Analysis
- Category: Applied Mathematics
- Category: Data Processing
- Category: Regression Analysis
- Category: Statistical Analysis
- Category: Data Science
- Category: Logical Reasoning
- Category: Data Visualization
- Category: Numerical Analysis
- Category: Python Programming
- Category: Data Manipulation
- Category: Linear Algebra
