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Python Programming & Data Science

Learn Python programming from basics to advanced, including data analysis and machine learning fundamentals.

PythonNumPyPandasMatplotlibScikit-learnJupyter

Course Details

Duration

10 weeks

Schedule

Weekdays (Mon-Wed-Fri evenings)

Level

Beginner

₹25,000

Course Fee

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Course Overview

Start your journey into programming and data science with Python, one of the most popular and versatile programming languages. This course covers everything from basic syntax to advanced data analysis and machine learning concepts.

What You’ll Learn

  • Python Fundamentals: Variables, data types, control structures, functions
  • Object-Oriented Programming: Classes, inheritance, polymorphism
  • Data Structures: Lists, tuples, dictionaries, sets
  • File Handling: Reading and writing files, CSV and JSON processing
  • Data Analysis: NumPy arrays and Pandas DataFrames
  • Visualization: Creating charts and graphs with Matplotlib and Seaborn
  • Machine Learning Basics: Introduction to ML with scikit-learn

Course Modules

Module 1: Python Basics

  • Introduction to Python and setup
  • Variables, data types, and operators
  • Control flow (if/else, loops)
  • Functions and modules

Module 2: Advanced Python

  • Object-oriented programming
  • Exception handling
  • File I/O operations
  • Working with APIs

Module 3: Data Analysis with NumPy & Pandas

  • NumPy arrays and operations
  • Pandas DataFrames and Series
  • Data cleaning and preprocessing
  • Statistical analysis

Module 4: Data Visualization

  • Matplotlib fundamentals
  • Creating various chart types
  • Seaborn for statistical plots
  • Interactive visualizations

Module 5: Introduction to Machine Learning

  • ML concepts and terminology
  • Supervised vs unsupervised learning
  • Linear regression and classification
  • Model evaluation and validation

Module 6: Capstone Project

  • Real-world data analysis project
  • End-to-end ML pipeline
  • Presentation and documentation

Prerequisites

  • No prior programming experience required
  • Basic computer literacy
  • Interest in data and analytics

Who Should Attend

  • Complete beginners to programming
  • Students interested in data science
  • Professionals looking to transition to tech
  • Anyone wanting to learn Python

Career Opportunities

  • Python Developer
  • Data Analyst
  • Junior Data Scientist
  • Backend Developer
  • Automation Engineer

Training Methodology

  • Interactive coding sessions
  • Hands-on exercises and assignments
  • Real-world datasets and projects
  • Weekly quizzes and assessments
  • Career guidance

Certification

Industry-recognized certificate upon successful completion of the course and final project.

Ready to Get Started?

Join our program today and take the first step towards a successful tech career.