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: Linear Algebra
- Category: Histogram
- Category: Machine Learning Methods
- Category: Statistical Methods
- Category: Data Processing
- Category: Probability Distribution
- Category: Classification Algorithms
- Category: Data Science
- Category: Machine Learning Algorithms
- Category: Plot (Graphics)
- Category: Data Import/Export
- Category: Machine Learning
