About This Course
This Python for Data Science program builds strong programming and analytical foundations using Python, NumPy, Pandas, visualization, statistics, and exploratory analysis. Learners practice with real datasets, automate data tasks, complete projects, build portfolios, and prepare for data-focused roles confidently.
What You Will Learn
Curriculum Roadmap
Foundation
- • Python Syntax
- • Variables & Data Types
- • Conditions & Loops
- • Functions
- • Lists & Dictionaries
- • Modules & Packages
- • OOP Basics
- • Debugging
Data Handling
- • NumPy Fundamentals
- • Pandas
- • Data Cleaning
- • Filtering & Sorting
- • Grouping
- • Merging Data
- • Missing Values
- • Data Transformation
Analytics
- • Exploratory Data Analysis
- • Matplotlib
- • Seaborn
- • Descriptive Statistics
- • Probability Basics
- • Distributions
- • Correlation Analysis
- • Data Storytelling
Advanced Python
- • File Handling
- • APIs & JSON
- • Exception Handling
- • Automation Scripts
- • Virtual Environments
- • Reusable Functions
- • Decorators Basics
- • Workflow Automation
Applied Data Science
- • Data Preprocessing
- • Feature Engineering
- • ML Fundamentals
- • Regression Basics
- • Classification Basics
- • Model Evaluation
- • ML Pipelines
- • Practical Analysis
Projects & Career
- • Data Analysis Project
- • Automation Project
- • Industry-Standard Project
- • GitHub Portfolio
- • Resume Building
- • Mock Interviews
- • Placement Readiness
Real-World Projects You'll Build
Student Grade Management System
A command-line app to add, view, and calculate student grades with file storage using Python.
Personal Expense Tracker
Track daily expenses using Python and SQLite with filtering, category totals, and file export.
Data Report Generator
Read CSV data, process it with Pandas, and generate summary reports — a taste of data analytics with Python.
Career Outcomes
Who Can Join This Course?
Current Batch Information
Ask admissions for current fees, offers and batch dates before enrolling.
Placement Support Included
Get Free Counselling for This Course
Our counsellor will explain the curriculum, fee, batch schedule, and career opportunities in detail.
Frequently Asked Questions
Explore Related Courses
Python programming first, then specialist applications
Start with Python syntax, functions, object-oriented programming and practical exercises. The course also introduces data and automation use cases; learners seeking deeper predictive modelling can explore the dedicated Data Science and Machine Learning outlines.
Useful questions
Is this a Data Science course?
No. The main learning path is general Python programming. Data applications are a secondary use case, with separate pages for Data Science and Machine Learning.