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Quick answer: The data analytics course at I-TEC covers Excel, SQL, Python, statistics and Power BI with real projects. Students from Nangal Rai train at our Palam Colony campus and receive a certificate on completion.
Every company now collects data, and very few people can turn it into a decision. That gap is exactly where a trained data analyst earns a living. The data analytics course in Nangal Rai at I-TEC takes you from spreadsheets to SQL, Python and Power BI, with project work that you can show in an interview rather than just describe.
Nangal Rai is an older settlement with a strong sense of community, and word of mouth counts for a great deal there. Many of our enquiries from the area start with a neighbour or relative who studied here first.
You start with Excel, move to SQL for databases, then Python for deeper analysis and Power BI for dashboards. That sequence mirrors a real analyst workflow.
You build analyses on sales, HR and customer datasets, and each project ends in a short presentation of findings.
If a query will not run at nine at night, you can message and get help the next morning. Learning this subject alone is hard, so we do not leave you alone with it.
Students from Nangal Rai include school-leavers, graduates preparing for private-sector jobs and small shop owners who want to run their own accounts and online presence properly.
The syllabus below is what students from Nangal Rai actually work through at the Palam Colony campus. You can read more about the full programme on our Data Analytics Course page.
Formulas, pivot tables, lookups and charts, so you can handle small datasets quickly.
SELECT, filters, joins, grouping, subqueries and window functions on practice databases.
Pandas, NumPy and Matplotlib for cleaning, exploring and visualising data.
Averages, spread, correlation, sampling and basic hypothesis thinking, explained without heavy maths.
Connecting data, modelling it, building measures and publishing interactive dashboards.
A full analysis from raw data to a final presentation, followed by resume and mock interview work.
| Course | Data Analytics Course |
|---|---|
| Area served | Nangal Rai, Palam Colony, Sagar Pur, Raj Nagar, Dabri, Kailash Puri |
| Campus | R-4, Main Road, Indira Park, Opposite SBI Bank, Near Mother Dairy, Palam Colony, New Delhi-110045 |
| Batches | Morning, afternoon and evening slots; confirm current availability at the front desk |
| Certificate | Yes, on completion |
| Fees | Shared on enquiry, depending on batch and duration |
| Phone | 9625013132 |
A data analytics course is worth its fee only if you leave able to answer a business question with data. Check that SQL, Python and a dashboard tool are all covered, and that you will work on messy datasets, not clean toy examples. Ask how many projects you will finish and whether anyone reviews your work in detail. Avoid courses that promise a job in a fixed number of weeks. Skills and a portfolio decide your outcome, and no honest institute can guarantee a placement.
A normal week alternates between learning and doing. Early in the week you pick up a new idea such as joins or a pandas function. Midweek you apply it to a dataset, and by Friday you present a small finding, even if it is only two charts and a recommendation. Over a few months those small findings add up to a portfolio. Revision sessions cover anything that has slipped, and the trainer is available for doubts between classes.
It suits graduates, commerce and engineering students, MIS executives and working professionals who want to move into analytics. Comfort with basic Excel is useful but not mandatory.
Typical roles are data analyst, business analyst, MIS analyst, reporting analyst and BI developer trainee. Many learners later move on to our Data Science programme. If you want to go further, look at our Python course or the Data Science course, and see which companies have hired from us on the recruiters page.
Sessions combine short explanations with long practice blocks on real datasets. Assignments are reviewed individually, and the capstone is presented to the trainer.
We keep the batch sizes manageable, so even a student who was nervous about computers on day one gets individual attention from the trainer.
Students from Nangal Rai often arrive after a recommendation from someone who studied here, and we are always happy to hear that. If you know a former student, ask them for an honest opinion before you visit.
Along with Nangal Rai, students regularly join from Palam Colony, Sagar Pur, Raj Nagar, Dabri and Kailash Puri. Our campus at R-4, Main Road, Indira Park, Opposite SBI Bank, Near Mother Dairy, Palam Colony, New Delhi-110045, is a short trip from all of these, and you are welcome to see it before you decide. You can also check every area we cover on our locations page.
When people around Nangal Rai look for us online, the words they type vary a lot. Some search for data analytics course in nangal rai or data analyst course in nangal rai, while others try data analytics institute in nangal rai and data analytics classes near nangal rai. A few go straight to data analytics with python in nangal rai or power bi course in nangal rai. Whichever phrase you used to reach this page, the answer is the same campus, the same trainers and the same open door at Palam Colony.
Getting started takes about ten minutes. Call us on 9625013132 or send an enquiry through the Contact Us page, tell the counsellor what you want to achieve and pick a batch that suits your day. You can also read about our approach on the About page, check current offers on the admission offer page and meet the leadership on the Director’s Desk.
Choosing the right data analytics course comes down to trust, practice and fit with your daily routine. For learners in Nangal Rai, I-TEC offers a nearby campus, small batches and trainers who stay until the concept lands. Visit the Why Choose Us page, then walk in, watch a class and decide for yourself.
I-TEC Computer Training Institute is rated 4.9 out of 5 from 214+ Google reviews by students across Palam, Dwarka and nearby areas. Read our Google reviews.