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Learning goals
- 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 description
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.
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
Intended audience
- Aspiring data analysts and data scientists
- Business professionals who work with data regularly
- Python beginners interested in data careers
Course curriculum
01 Topic 1: Python Basics
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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
02 Topic 2: Data Analysis with Pandas
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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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