End-to-end Power BI dashboard on regional sales, targets and margins.
Learn Excel, SQL, Python, Power BI, Tableau and Generative AI through live projects, real datasets, and mentor-led classes designed for placements from Day 1.
Google Rated
Learners Trained
Hiring Partners
Talk to our mentors and get a personalised learning roadmap.
We combine strong analytics fundamentals with modern AI tooling so you graduate with the exact skills companies are hiring for right now.
ChatGPT, Copilot, and Generative AI woven into every module - the way the industry actually works today.
Designed with hiring managers to match Data Analyst, BI, and Reporting job descriptions.
Learn from analysts working at product companies, consultancies, and MNCs.
Build 8+ portfolio projects on Sales, HR, Retail, Finance and Marketing datasets.
Every class is lab-first. You'll write SQL, build dashboards and analyze data from Day 1.
Resume reviews, mock interviews and dedicated placement drives with 180+ hiring partners.
Every step is designed with clear outcomes so you always know what you’re learning and why it matters for the job.
01
Book a free counselling call and choose your batch.
02
Excel, SQL, statistics and analytical thinking.
03
Practice on real datasets in every session.
04
Build 8+ dashboards and analytics case studies.
05
Master ChatGPT, Copilot and Gen-AI for analytics.
06
Technical, behavioural and case-study prep.
07
Get referred to 180+ hiring partners.
A comprehensive 5–6 month program covering the complete analytics stack. From spreadsheets and databases to dashboards, statistics and Gen-AI – everything you need to become a confident, employable data analyst.
5–6 Months
Classroom / Live
8+ Portfolio
Hands-on training on the exact tools used by data teams at leading companies.
01
Advanced formulas, Pivot Tables, Power Query, dashboards.
02
Queries, joins, subqueries, window functions, optimization.
03
Python essentials, Pandas, NumPy, data manipulation.
04
Wrangling, missing values, transformations, quality checks.
05
Descriptive, inferential, probability, hypothesis testing.
06
Storytelling with data, charts, colour, layout, UX.
07
DAX, data modelling, interactive reports and dashboards.
08
Calculated fields, LOD, dashboards and Tableau Public.
09
ChatGPT, Copilot, prompt engineering for analysts.
10
End-to-end business case with real datasets and stakeholders.
End-to-end Power BI dashboard on regional sales, targets and margins.
Attrition prediction and workforce analytics on real HR data.
P&L, expenses and forecasting workbook with dynamic scenarios.
Cohort analysis, RFM segmentation and churn insights.
Store performance, inventory, and category-level insights.
Executive-ready BI reports across marketing and operations.
Hands-on training on the exact tools used by data teams at leading companies.
2.4x
within 18 months of upskilling
₹4.5 – 9 LPA
₹5 – 11 LPA
₹5 – 12 LPA
₹4 – 8 LPA
₹3.5 – 7 LPA
₹6 – 14 LPA
Our placement support doesn’t end with a certificate. From the first mock interview to your offer letter, our career team stands with you every step of the way.
Learners Trained
Placement Rate
Hiring Partners
Highest Package
Everything you need to know before you enroll.
The complete Data Analytics with AI program runs for 5–6 months including live classes, labs, projects, and placement preparation.
Anyone with basic computer literacy can join. Students, graduates, and working professionals from any background are welcome – we start from fundamentals.
Yes. We offer end-to-end placement support: resume building, mock interviews, referrals and access to our 180+ hiring partner network.
Classes are live and instructor-led, with recorded sessions available for revision. You get lifetime access to the content
Every module uses AI tools like ChatGPT and Microsoft Copilot for real analytics tasks – writing SQL, cleaning data, generating insights and building dashboards faster.
You’ll complete 8+ portfolio-ready projects across Sales, HR, Finance, Retail, Customer and Marketing analytics.
Yes. You receive an industry-recognized certificate on successful completion of the course and capstone projects.