Python for Data Science
Categories
Data & AI
What I will learn?
- Write Python code for data manipulation and analysis
- Load, clean, and explore datasets with Pandas
- Build charts and visualizations with Matplotlib and Seaborn
- Identify trends and patterns in real-world data
- Structure a basic data analysis workflow
Course Curriculum
Topic 1: Python Basics
Build a solid programming foundation before diving into data.
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Lesson 1: Data Types, Variables & Operators
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Lesson 2: Loops, Functions & File Handling
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Python & Pandas Essentials
Topic 2: Data Analysis with Pandas
Wrangle real-world datasets like a pro.
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Lesson 1: Loading & Exploring Datasets
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Python for Data Science – Knowledge Check
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Lesson 2: Filtering, Grouping & Aggregating Data
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Free
Free access this course
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LevelIntermediate
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Last UpdatedJune 16, 2026
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Material Includes
- Sample datasets (CSV format)
- Jupyter Notebook exercise files
- Python cheat sheet (PDF)
Requirements
- Install Python 3.x and Jupyter Notebook before starting (guide provided)
- No prior programming experience strictly required, but helpful
- A computer with at least 4GB RAM recommended
