Linear Algebra and Regression Fundamentals for Data Science
Completed by Sidnei de Almeida
September 9, 2025
16 hours (approximately)
Sidnei de Almeida'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: Applied Mathematics
- Category: Statistical Analysis
- Category: Data Analysis
- Category: Machine Learning
- Category: NumPy
- Category: Plot (Graphics)
- Category: Mathematics and Mathematical Modeling
- Category: Pandas (Python Package)
- Category: Computational Logic
- Category: Mathematical Modeling
- Category: Linear Algebra
- Category: Data Manipulation
