Data Analytics
Turn raw data into decisions — master Excel, SQL, Python, R, Tableau and Power BI, then supercharge it all with Generative AI. No coding background required.
8Weeks
Duration
15+
Industry Projects
13+
Tools Mastered
96%
Completion
Program Overview
Turn raw data into decisions — master Excel, SQL, Python, R, Tableau and Power BI, then supercharge it all with Generative AI. No coding background required.
Data Analytics is the most accessible way into the data field — and now, with GenAI woven through the workflow, it's more powerful than ever. This program takes you from spreadsheets and SQL through Python, statistics and visualisation with Tableau and Power BI, then into applying Generative AI to real analytics tasks like forecasting and summarisation. You build end-to-end skills — data prep, modelling, visualisation and AI — across 15+ industry projects, finishing with a mentor-guided capstone you can put in front of any employer.
At a glance
- Duration
- 8 Weeks
- Level
- Beginner
- Format
- Live · Online
- Awarded by
- University partner
- Career support
- Included
Why This, Why Now
Analytics is the fastest on-ramp into the data economy.
Every team now runs on data, and the professionals who can prepare it, visualise it and layer AI on top are in demand across every industry. With the big-data analytics market heading toward the hundreds of billions, analytics remains the most accessible, fastest-paying entry point into a data career — especially now that GenAI is part of the job.
$924B+
projected big-data analytics market by 2032
29.4%
CAGR of the global data analytics market
35%
CAGR for data & GenAI skills in India
#1
most accessible entry point into data
Why Join This Program
Everything that makes this different.
01Beginner-Friendly, No Coding Needed
Start from Excel and build up — designed for professionals from any background.
02GenAI Integrated Throughout
Use ChatGPT and modern AI tools for forecasting, summarisation and analytics tasks.
0315+ Industry Projects
Real dashboards and analyses across sales, retail, healthcare and finance.
04Learn from Practising Analysts
Live, mentor-led sessions from people who do analytics for a living.
05End-to-End Analytics Skills
Data prep, modelling, visualisation, GenAI and adaptive systems in one path.
06Data Ethics Built In
Learn to handle data responsibly — a skill employers increasingly expect.
Your Learning Journey
Your 8 Weeks journey — from foundation to mastery.
Excel & SQL (W1–2)
Business analytics with Excel, then data acquisition and manipulation using SQL.
ETL & Visualisation (W3–4)
Extract, transform and load pipelines, then data visualisation with Tableau.
Python for Data (W5)
Python fundamentals and data analytics with Pandas and NumPy.
GenAI Analytics (W6)
GenAI literacy and applying generative AI to real analytics tasks.
Advanced & Ethics (W7)
Power BI storytelling, R for statistics, and data ethics.
Capstone (W8)
A mentor-guided 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
- 01Business analytics with Excel — formulas, pivots and dashboards
- 02Data acquisition and manipulation using SQL
- 03Querying, joins and aggregation for analysis
- 04Structuring data for downstream analytics
Hands-on Workshops
You'll Deliver
Wk 1 → Excel sales dashboard · Wk 2 → SQL reporting queries
Courses
- 01Extract, Transform and Load (ETL) fundamentals
- 02Building ETL workflows for real datasets
- 03Data visualisation principles
- 04Interactive dashboards with Tableau
Hands-on Workshops
You'll Deliver
Wk 3 → ETL workflow · Wk 4 → Interactive Tableau dashboard
Courses
- 01Fundamentals of Python programming
- 02Data analytics with Python — Pandas and NumPy
- 03Exploratory data analysis in Python
- 04Statistical analysis and hypothesis testing
Hands-on Workshops
You'll Deliver
Wk 5 → Python EDA notebook with statistical findings
Courses
- 01GenAI literacy — how large language models work
- 02Applications of generative AI in data analytics
- 03Prompt engineering for forecasting and summarisation
- 04Using AI tools to speed up the analytics workflow
Hands-on Workshops
You'll Deliver
Wk 6 → GenAI-assisted analytics report
Courses
- 01Data storytelling using Power BI
- 02Data analytics with R programming
- 03Statistical techniques — regression and clustering in R
- 04Data ethics and responsible analytics
Hands-on Workshops
You'll Deliver
Wk 7 → Power BI report + R statistical analysis
Courses
- 01Capstone kickoff — scope a real business problem
- 02Build sprint with 1-on-1 mentor support
- 03Presentation dry-run with an expert panel
Hands-on Workshops
You'll Deliver
A mentor-guided capstone plus a 15+ project portfolio across sales, retail, finance and healthcare
Learning Journey
We're with you the whole way.
Hands-on, project-first learning
Tools You'll Master
13+ industry-standard tools.
The Capstone
Walk out with a portfolio, not just a certificate.
Your capstone is a real business problem, scoped with a mentor and built across the program. Alongside 15+ projects spanning sales, retail, finance and healthcare, it becomes the portfolio that shows employers you can actually turn data into decisions.
Choose a capstone problem that matches your target role
Apply the full stack — Excel, SQL, Python, BI tools and GenAI
Produce dashboards and reports as you would on the job
Present findings to mentors as you would to a business team
What You'll Walk Away With
Skills that show up in interviews.
Build interactive dashboards in Excel, Tableau and Power BI
Query and transform data with SQL and ETL workflows
Analyse data with Python, Pandas and statistical techniques
Apply Generative AI to forecasting, summarisation and analysis
Run regression and clustering with R
Ship a 15+ project analytics portfolio you can demo in interviews
Who This Is For
Built for where you're headed.
Aspiring Analysts
Break into analytics from any background — no coding experience required.
Business & Ops Professionals
Add data and BI skills to make sharper, evidence-based decisions.
Excel & Reporting Users
Move beyond spreadsheets into SQL, Python, BI tools and GenAI.
Career Switchers
Enter the data field with a job-ready, project-backed skill set.
The Techversity Difference
Not another video course.
With Techversity
- 15+ industry projects + a mentor-guided capstone
- Full stack: Excel, SQL, Python, R, Tableau, Power BI
- Generative AI integrated into the analytics workflow
- 1-on-1 mentor and career support
- Portfolio-ready outcome you can demo
Typical online courses
- A few disconnected tutorials
- One tool only — usually just Excel or SQL
- No GenAI or modern AI content
- 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
$549
Inclusive of taxes
Pay in installments, as low as
$46/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 mentor-guided capstone
- University-awarded certificate on completion
- 1-on-1 career advisor and interview prep
- Lifetime access to learning content
Financing partners
Questions
Good to know.
Do I need coding experience to start?
No. This program is designed for professionals from any background — you start with Excel and SQL and build up to Python and R gradually. A bachelor's degree and some work experience help, but prior coding isn't required.
How is Generative AI part of the course?
GenAI is woven through the analytics workflow — you use AI tools like ChatGPT for forecasting, summarisation and speeding up analysis, and there's a dedicated module on applying generative AI to real analytics tasks.
What will I have built by the end?
15+ industry projects — dashboards and analyses across sales, retail, finance and healthcare — plus a mentor-guided capstone. Together they form a portfolio you can show employers.
What tools and languages are covered?
Excel, SQL, Python (Pandas, NumPy), R, Tableau, Power BI, AWS Glue, Jupyter and GenAI tools — the full analytics stack used across the industry.
What roles can this lead to?
Data analyst, business intelligence analyst, Power BI developer and reporting analyst roles, among others. The project portfolio is built specifically to demonstrate readiness for these positions.
Can I take this while working full-time?
Yes. Sessions are live and weekend-friendly, and every class is recorded with lifetime access, so you can learn around a full-time job.
Ready to earn your Data Analytics credential?
Talk to an advisor about the next cohort — no obligation, just a straight conversation about whether this is the right fit.