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Responsible SHUVAM SAHOO
Last Update 30/12/2025
Completion Time 30 minutes
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Syllabus Overview 

Data Science with Python Basics

Course Duration: 50 hours

Course Objective

This course aims to provide students with the necessary skills and tools to analyze real-world data, build models, and generate insights using Python. The course covers Python fundamentals, data manipulation, statistical analysis, machine learning, data visualization, and a practical data science project work.

Week 1: Introduction to Data Science & Python

Topics:

  • Overview of Data Science
  • The Data Science Process
  • Python Fundamentals for Data Science (variables, data types, loops, functions)
  • Introduction to Jupyter Notebooks

Assignments:

  • Basic Python exercises (e.g., loops, functions, lists)

Week 2: Python Libraries for Data Science

Topics:

  • Introduction to Python Libraries for Data Science
    • NumPy for numerical computing
    • Pandas for data manipulation
  • Basic Data Structures (Arrays, DataFrames, Series)

Assignments:

  • NumPy and Pandas exercises (e.g., matrix operations, basic data manipulation)

Week 3: Data Wrangling and Cleaning

Topics:

  • Importing and Exporting Data (CSV, Excel, SQL)
  • Handling Missing Data
  • Data Transformation and Cleaning
  • Exploratory Data Analysis (EDA)