Overview
Syllabus
Data Analysis with Python: Part 1 of 6 (Live Course).
Data Analysis with Python: Part 2 of 6 - Python Functions and Working with Files (Live Course).
Data Analysis with Python: Part 3 of 6 Numerical Computing with Numpy (Live Course).
Data Analysis with Python: Part 4 of 6 - Analyzing tabular data with Pandas.
Data Analysis with Python: Part 5 of 6 - Visualization with Matplotlib and Seaborn (Live Course).
Data Analysis with Python: Part 6 of 6 - Exploratory Data Analysis - A Case Study [Live Course].
Taught by
freeCodeCamp.org
Reviews
5.0 rating, based on 1 Class Central review
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I recently completed the Data Analysis with Python course, and it was a great learning experience! The course provided a solid foundation in pandas, NumPy, Matplotlib, Seaborn, and Plotly, making data manipulation and visualization much easier to understand.
One of the best things about the course was the hands-on approach—working with real datasets helped me apply concepts practically. The explanations were clear, and the step-by-step guidance made complex topics easy to grasp.
This course has definitely boosted my confidence in data analysis and helped me improve my skills in Python programming and data visualization. I would highly recommend it to anyone looking to get started with data analytics!