Data Science.
From data to decisions.

Python, statistics, SQL and machine learning — a practical program built around real datasets and real business questions.

Turn raw data into
real decisions.

This course covers the full data science workflow — Python, statistics, SQL, Pandas and NumPy for data handling, and machine learning for prediction and classification.

You'll work with real, messy datasets and finish with a capstone project you present end to end, from raw data to a working model.

Duration
12 Weeks
Format
Cohort-based · Bengaluru
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Data Science training at GenAI Labs

What you'll
work with.

Programming & Data Handling

Python, Pandas, NumPy and Jupyter for working with real datasets.

Statistics & SQL

Applied statistics, probability, and SQL for querying and cleaning data.

Machine Learning

scikit-learn, regression, classification and model evaluation.

Syllabus & modules.

A structured, week-by-week path from fundamentals to a deployed capstone project.

Python for Data Science Python, Pandas and NumPy fundamentals.
Weeks 1–2
Statistics & Probability Applied statistics for data analysis.
Weeks 3–4
SQL & Data Wrangling Querying, joins and cleaning real datasets.
Week 5
Data Visualization Matplotlib, Seaborn and storytelling with data.
Week 6
Machine Learning Foundations Regression, classification and scikit-learn.
Weeks 7–9
Model Evaluation & Capstone Tuning, evaluation metrics and a final project.
Weeks 10–12

Where this
can take you.

Data Analyst

Turn data into insights and reporting for business teams.

Data Scientist (Junior)

Build models and analysis to support product decisions.

Machine Learning Engineer (Junior)

Help build and deploy machine learning systems.

Ready to
enroll?

Tell us your background and availability — we'll help you find the right fit for the Data Science course.

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