NumPy, Matplotlib & Pandas – Data Science Prerequisites
Completed by Vilya Levitskiy
March 9, 2026
7 hours (approximately)
Vilya Levitskiy's account is verified. Coursera certifies their successful completion of NumPy, Matplotlib & Pandas – Data Science Prerequisites
What you will learn
Understand the core concepts of NumPy arrays, including their benefits over Python lists.
Gain proficiency in visualizing data using various types of plots in Matplotlib.
Learn how to manipulate and analyze data with Pandas for data science tasks.
Explore the basics of machine learning models such as classification and regression.
Skills you will gain
- Category: Plot (Graphics)
- Category: Data Import/Export
- Category: Data Processing
- Category: Probability Distribution
- Category: Statistical Methods
- Category: Applied Machine Learning
- Category: Linear Algebra
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Histogram
- Category: Data Science
- Category: Numerical Analysis
