Data Science
From spreadsheets to production ML — master Python, SQL, statistics, machine learning and GenAI, and walk out able to build, deploy and explain models that drive real decisions.
12Weeks
Duration
15+
Portfolio Projects
13+
Tools Mastered
94%
Completion
Program Overview
From spreadsheets to production ML — master Python, SQL, statistics, machine learning and GenAI, and walk out able to build, deploy and explain models that drive real decisions.
Data Science is where analytical rigour meets business impact — and demand for people who can do it well keeps outpacing supply. This program takes you end-to-end: a Python and SQL foundation, the statistics that underpin every model, supervised and unsupervised machine learning, deep learning, and the GenAI, LLM and RAG skills employers now expect. Every module ends in a concrete deliverable, and you finish with a capstone and a 15+ project portfolio you can put in front of any hiring panel.
At a glance
- Duration
- 12 Weeks
- Level
- Intermediate
- Format
- Live · Online
- Awarded by
- University partner
- Career support
- Included
Why This, Why Now
Data science demand is still outrunning supply.
Data and analytics roles are among the fastest-growing in the world, and the tooling now spans classic ML, deep learning and generative AI in a single job description. The professionals who can move across that full stack — and put models into production — are exactly who employers are competing for.
31%
projected job growth this decade
11.5M
expected new data & analytics jobs
$120K+
median data scientist salary (global)
23.5%
CAGR of the data science platform market
Why Join This Program
Everything that makes this different.
01AI-Driven, Flexible Curriculum
Python, SQL, statistics, ML and DNNs — live sessions plus self-paced labs around your job.
02GenAI, LLMs & MLOps Integrated
RAG, Azure ML, Power BI with AI and production MLOps built into the core.
03Learn from Practising Data Scientists
Live, interactive guidance from industry experts across every module.
0415+ Projects & 3-Domain Capstone
Hands-on projects built on real, publicly available datasets across domains.
05Production-Ready Skills
Model deployment, MLOps and explainable AI — not just notebooks.
06Industry-Recognised Certificate
A globally recognised Data Science credential plus lifetime access to learning content.
Your Learning Journey
Your 12 Weeks journey — from foundation to mastery.
Python & SQL (W1–3)
Python for data, SQL and database management — the tools every workflow starts with.
Statistics (W4–5)
Descriptive and inferential statistics — the mathematical foundation of every model.
Machine Learning (W6–8)
Supervised, unsupervised and ensemble learning with scikit-learn and Python.
Deep Learning (W9–10)
Neural networks with TensorFlow, Keras and PyTorch for complex problems.
GenAI & MLOps (W11)
LLMs, prompt engineering, RAG and taking models to production.
Capstone (W12)
A domain capstone plus your full 15+ project portfolio.
The Complete Curriculum
What you'll build — module by module.
6 modules · hands-on courses, workshops and real deliverables.
Courses
- 01Python refresher with AI assistance — data types, loops, functions and error handling
- 02Data manipulation and analysis with NumPy and Pandas
- 03SQL and database management — querying, joins and aggregation
- 04Exploratory Data Analysis (EDA) — wrangling and structuring real data
Hands-on Workshops
You'll Deliver
Wk 1 → Python analytics scripts · Wk 2 → SQL reporting queries · Wk 3 → EDA notebook on a real dataset
Courses
- 01Descriptive statistics — summarising and describing data
- 02Inferential statistics — hypothesis testing and confidence intervals
- 03Probability distributions and sampling
- 04Statistical thinking for experiment design
Hands-on Workshops
You'll Deliver
Wk 4 → Statistical summary report · Wk 5 → Hypothesis-testing case study
Courses
- 01Supervised learning — regression and classification
- 02Unsupervised learning — clustering and dimensionality reduction
- 03Ensemble learning — boosting, bagging and random forests
- 04Model building, tuning and validation with scikit-learn
Hands-on Workshops
You'll Deliver
Wk 6 → Regression model · Wk 7 → Clustering analysis · Wk 8 → Tuned ensemble model
Courses
- 01Neural network fundamentals — how deep learning works
- 02Building models with TensorFlow and Keras
- 03PyTorch for research-style deep learning
- 04Deep learning for real-world data
Hands-on Workshops
You'll Deliver
Wk 9 → Neural network classifier · Wk 10 → Deep learning mini-project
Courses
- 01Generative AI and prompt engineering with large language models
- 02Conversational AI, RAG and explainable AI
- 03Applied MLOps — deploying and monitoring models
- 04ML in the cloud with Azure Machine Learning and Power BI with AI
Hands-on Workshops
You'll Deliver
Wk 11 → Deployed model + Power BI dashboard with AI insights
Courses
- 01Capstone kickoff — choose from three real-world domains
- 02Build sprint with 1-on-1 mentor support
- 03Presentation dry-run with an expert panel
Hands-on Workshops
You'll Deliver
A domain capstone plus a 15+ project portfolio built on real datasets, with a write-up and presentation
Learning Journey
We're with you the whole way.
Hands-on, project-first learning
Tools You'll Master
13+ industry-standard tools.
Industry Projects
10+ projects on real datasets.
Every project is built on real, publicly available data — the portfolio that gets you shortlisted.
Sales Analysis
Use Python to analyse a clothing company's Q4 sales across regions and drive data-backed decisions for the year ahead.
Employee Performance Analysis
Build ML models with clustering, SMOTE and K-fold validation to understand the factors behind employee turnover.
Song Classification
Run EDA and cluster analysis to build personalised playlists and an efficient song recommendation system.
Marketing Strategy with EDA
Apply exploratory analysis and hypothesis testing to uncover the drivers of customer acquisition.
Online Car Rental Platform
Use object-oriented Python to build a platform managing vehicles, bookings and customer interactions.
Employee Performance Mapping
Query employee and project data to generate performance and appraisal reports for HR decisions.
Air Cargo Analysis
Analyse airline operations and sales to find regular passengers, busiest routes and ticket-sales trends.
Retail Analysis with Store Data
Apply ML to predict sales and demand across stores using economic indicators, holidays and promotions.
Reporting with Power BI
Analyse restaurant and review data in Power BI to surface insights and evaluate business performance.
Virtual PM Consultant
Design structured prompts so an LLM can act as a virtual consultant for planning, risk and team guidance.
Projects are built on real publicly available datasets and are indicative; they may evolve as the curriculum updates.
Skills You'll Cover
17+ job-ready skills.
The Capstone
Walk out with a portfolio, not just a certificate.
Your capstone is a real project scoped around one of three business domains, built across the program and presented to an expert panel. Alongside it you finish with 15+ projects on real, publicly available datasets — the portfolio that gets you shortlisted.
Choose a capstone domain that matches your target role
Build it module by module — each week adds a working piece
Apply the full stack: Python, ML, deep learning and GenAI
Present to mentors as you would to a hiring panel
What You'll Walk Away With
Skills that show up in interviews.
Build, tune and validate supervised and unsupervised ML models
Handle real data end-to-end — wrangling, EDA and database management
Apply statistics and hypothesis testing to real business questions
Build deep learning models with TensorFlow, Keras and PyTorch
Apply GenAI, LLMs and RAG to modern analytics workflows
Deploy and monitor models with MLOps and cloud tooling
Ship a capstone and a 15+ project portfolio you can demo in interviews
Who This Is For
Built for where you're headed.
Analysts & BI Professionals
Move from reporting into predictive modelling and machine learning.
Software Engineers
Add data science and ML to your stack and open new roles.
Career Switchers
Enter data science from any background — no prior coding required.
Domain Experts
Turn deep domain knowledge into data-driven decisions and models.
The Techversity Difference
Not another video course.
With Techversity
- 15+ projects on real datasets + a domain capstone
- Full stack: Python, stats, ML, deep learning and GenAI
- Production focus — MLOps, deployment and explainable AI
- 1-on-1 mentor and career support
- Portfolio-ready outcome you can demo
Typical online courses
- A handful of toy exercises
- Stops at basic ML — no deep learning or GenAI
- Notebooks only, no deployment
- No personal guidance
- Ends with a certificate, not capability
Awarded By Our University Partners
A credential that carries weight.
Techversity doesn't run these programs alone — every certification is awarded and backed by our accredited international university partners.
EU Global
An international institution partnering with Techversity to award globally recognised professional credentials.
ESDST
A partner institution offering accredited executive and professional certifications through Techversity.
Your certificate is issued by the awarding university partner. Techversity facilitates admission, guidance and support end-to-end.
Fee & Financing
One transparent fee. Everything included.
Total Program Fee
$599
Inclusive of taxes
Pay in installments, as low as
$50/month
Inclusive of all taxes. Flexible EMI options available at 0% interest with no hidden cost.
What your fee includes
- Full curriculum — live sessions + self-paced labs
- 15+ industry projects and a domain capstone
- University-awarded certificate on completion
- 1-on-1 career advisor and interview prep
- Lifetime access to learning content
Financing partners
How To Apply
Three simple steps to enrol.
We review applications on a rolling basis — qualified candidates receive an admission offer.
Submit Application
Apply online with your background details. Our admissions team reviews every application on a rolling basis.
Receive Offer Letter
Shortlisted candidates receive an admission offer from the awarding university partner via Techversity.
Reserve Your Seat
Confirm your place by completing the enrolment step, and get ready to start with your cohort.
Your Cohort
Who you'll learn alongside.
You'll learn alongside working professionals from across industries — the mix is what makes the cohort valuable.
Questions
Good to know.
Do I need programming skills before I start?
No. Programming knowledge helps, but it isn't a prerequisite. The program teaches Python, SQL and the key concepts from the ground up, so professionals from any background can follow along.
What technical skills will I have by the end?
17+ skills spanning statistics, data handling, machine learning, deep learning frameworks, data visualisation, and generative AI with prompt engineering — enough to handle real, complex data problems end-to-end.
What is the capstone and why does it matter?
The capstone is a real project scoped around one of three business domains, built across the program. Alongside 15+ projects on real datasets, it becomes the portfolio that gets you shortlisted for roles.
What tools and languages are covered?
Python, SQL and MySQL, NumPy, Pandas, SciPy, scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, Power BI, Azure ML and GenAI tooling — the stack used across the industry.
Is this certification valid for jobs in India and abroad?
Yes. The credential is globally recognised and, more importantly, the project portfolio demonstrates real capability that employers in India and abroad look for.
Can I take this while working full-time?
Yes. Blended learning combines live weekend-friendly sessions with self-paced labs, and every session is recorded with lifetime access, so you can learn around a full-time job.
Ready to earn your Data Science credential?
Talk to an advisor about the next cohort — no obligation, just a straight conversation about whether this is the right fit.