Linear Algebra and Regression Fundamentals for Data Science
Completed by Hetansh Waghela
December 4, 2025
16 hours (approximately)
Hetansh Waghela'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: Linear Algebra
- Category: Data Manipulation
- Category: NumPy
- Category: Plot (Graphics)
- Category: Machine Learning
- Category: Mathematics and Mathematical Modeling
- Category: Computational Logic
- Category: Mathematical Modeling
- Category: Pandas (Python Package)
- Category: Matplotlib
- Category: Numerical Analysis
- Category: Python Programming
