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Categories Data & AI

Python for Data Science

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.

Course Duration: 0
ENROLMENT
Free
Free
Free access this course
  • Level
    Intermediate
  • Last Updated
    June 16, 2026

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What you'll 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.

Course information

Course level:Intermediate
Course Duration: 0
Last Updated:June 16, 2026
Enrolled:0

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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