Python for Data Science
About This Course
Turn raw data into real insight using Python. This course covers everything from core programming concepts to data wrangling with Pandas and building visualizations with Matplotlib and Seaborn. It’s built for people who want practical, job-relevant skills — not just theory.
Learning Objectives
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
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
Target Audience
- Aspiring data analysts and data scientists
- Business professionals who work with data regularly
- Python beginners interested in data careers
Curriculum
4 Lessons
Topic 1: Python Basics
Build a solid programming foundation before diving into data.
Lesson 1: Data Types, Variables & Operators
Lesson 2: Loops, Functions & File Handling
Python & Pandas Essentials
Topic 2: Data Analysis with Pandas
Wrangle real-world datasets like a pro.
Your Instructors
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Free
Material Includes
- Sample datasets (CSV format)
- Jupyter Notebook exercise files
- Python cheat sheet (PDF)