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Python for Data Science

by Mrs. Ruchira

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Course level:Intermediate

PREVIEW LECTURE

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.

KEY TAKEAWAYS

  • 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

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.

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

ENROLMENT

₹1,399

· One-time fee

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Materials

  • Sample datasets (CSV format)
  • Jupyter Notebook exercise files
  • Python cheat sheet (PDF)