SSR Institute
BeginnerNew Batch

Data Science

Covers Python, data analysis, visualization and machine learning fundamentals - progressing from the basics toward a job-ready data science portfolio built on real-world projects.

6–8 Months₹44,999₹50,000
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Tech Stack

Technologies You'll Learn

PythonNumPyPandasMatplotlib & SeabornSQLScikit-learn
Curriculum

Detailed Syllabus

01
Python for Data Science14 lessons
02
Data Wrangling with Pandas14 lessons
03
Data Visualization12 lessons
04
SQL for Data Analysis10 lessons
05
Statistics & Probability12 lessons
06
Machine Learning Fundamentals16 lessons
Outcomes

What You'll Be Able to Do

Clean and analyze real-world datasets
Build clear, presentation-ready visualizations
Query and manipulate data with SQL
Apply core statistical methods to data
Train and evaluate machine learning models
Present data-driven insights and recommendations
Practice

Mini Projects & Capstone Project

You'll build hands-on mini projects as you go, working up to one capstone project that ties the whole course together for your portfolio.

Exploratory Data Analysis Report
Sales Forecasting Model
Customer Segmentation Dashboard
Beyond the Curriculum

What's Included With This Course

On top of Data Science, every SSR course tags on these - no extra cost.

Mini & Capstone Projects
Job Interview Preparation
Mock Interviews
Coding Challenges
Resume Building
GitHub Profile & Workflow
LinkedIn Profile Optimization
Portfolio Website
Personal Branding
Project Management Tools
AI Tools for Developers
Soft Skills Training
Practical Debugging
Freelancing Guidance
Client Management

Career Benefits

This course feeds directly into SSR's career-readiness track - GitHub and LinkedIn profile building, project management and AI tools, mock interviews and soft skills training.

See career support

Training Methodology

Taught through live coding, daily practice and mentor debugging - the same approach used across every SSR software course.

Try it in a workshop

Ready to start Data Science?

Book a free demo class and talk to a mentor about this course before you enroll.

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