FOUNDATIONS

Python for Data Science

Master data manipulation and numerical operations using industry-standard Python libraries for data science.

~35 hours

Learning Objectives

NumPy ArraysPandas DataFramesVectorizationData Cleaning

Load a raw CSV dataset, handle missing values, and calculate summary statistics using Pandas.

📖 Learn by Reading

Python for Data Analysis

Wes McKinney

Written by the creator of pandas, this is the ultimate guide to data manipulation in Python.

🎥 Learn by Watching

Python for Data Science - Course for Beginners

freeCodeCamp.org • YouTube • 12:00:00

A comprehensive Python tutorial specifically focused on data science and machine learning libraries.