DATA SCIENCE & ML TRACK

Data Science & Machine Learning

Data science means nothing if your models never leave a notebook. This track takes you from statistics and ML fundamentals through cloud deployment, giving you the full picture that separates employed scientists from perpetual learners.

✓ 8 modules✓ Real projects✓ Placement support
View modules ↓

What you'll master

  • Build and deploy machine learning models
  • Apply statistics and probability to business problems
  • Work with SQL and NoSQL databases
  • Deploy ML systems on AWS or Azure
  • Build a portfolio with capstone projects

8-MODULE CURRICULUM

What you'll learn

Python for Data Science

Advanced Python, Pandas, NumPy — your daily toolkit as a data scientist.

Statistics, Probability & Business Analytics

The math behind the models, explained with real business context.

SQL & Databases

MySQL for structured data, MongoDB for unstructured — you need both.

Machine Learning with Scikit-Learn

Regression, classification, clustering, cross-validation, feature engineering.

Cloud Tools & Deployment

AWS SageMaker, Azure ML, Docker — getting models out of notebooks and into production.

Generative AI & NLP Essentials

Text classification, transformers, and practical GenAI integration for DS workflows.

Capstone Project & Portfolio

An end-to-end ML project: data, model, deployment, and presentation.

Career Preparation

ML interview prep, system design for DS, portfolio review, and recruiter outreach.

TOOLS YOU'LL MASTER

PythonScikit-LearnPandasNumPyMySQLMongoDBAWSAzureTensorFlowNLTK

Where this takes you

Job titles

  • Data Scientist
  • ML Engineer
  • Sr Data Analyst
  • Applied Scientist
  • Research Engineer

Companies hiring

MicrosoftIBMGoldman SachsBlackRockAmazonApple

Salary range

₹15–45 LPA

for our placements

Common questions

What are the prerequisites?

Basic Python and high-school-level math. We cover statistics from the ground up, so you don't need a math degree.

How long does it take?

8 modules over 5–7 months, depending on pace. Evening and weekend study works well.

Is placement guaranteed?

Not guaranteed, but our support system — recruiter network, resume sharing, daily job links — significantly increases your chances vs. going solo.

How does pricing work?

We tailor pricing to your starting point and goals. The free mentor consultation is the best place to figure this out.

Ready to start your Data Science & Machine Learning journey?

One free conversation with our mentor to see if this track is right for you.

← Back to all courses
Data Science & Machine Learning Course — DreamSwitch