Linear Algebra and Regression Fundamentals for Data Science
Completed by Ahmed Yasser Sadeq
August 10, 2026
16 hours (approximately)
Ahmed Yasser Sadeq'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: Numerical Analysis
- Category: Python Programming
- Category: Regression Analysis
- Category: Plot (Graphics)
- Category: Machine Learning
- Category: NumPy
- Category: Computational Logic
- Category: Mathematical Modeling
- Category: Pandas (Python Package)
- Category: Mathematics and Mathematical Modeling
- Category: Data Analysis
- Category: Applied Mathematics
