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Python for Data Science

Categories Data & AI

Python for Data Science

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A course by

J
Categories Data & AI
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About the Course

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.

  • 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.

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Free
Free access this course
  • Level
    Intermediate
  • Last Updated
    June 16, 2026
  • Certificate
    Certificate of completion

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

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