Data Analytics Course in Bangalore (Whitefield): 6 Months, Pay After Placement

Registration of ₹30,000 covers the course. It is not a promise of a job. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs only after you accept that offer. The full fee page is Pay after placement.

This is the Data Analytics course for people searching Bangalore, Bengaluru, or Whitefield. The full module list and the five published dashboards live on the Data Analytics course page. This page answers the city query and uses that same syllabus. It does not add topics.

The classroom is Aashvi, 3rd Floor, Whitefield Channasandra Main Road, Whitefield, Bengaluru, Karnataka 560066. Classes are also live online, so you are not required in Whitefield every evening. The phone is +91 79755 54666. Hours are Monday to Saturday, 9:00 AM to 7:00 PM IST.

Illustrative pay bands for a data analyst in Bengaluru are on the salary page. They are benchmarks with a disclaimer. They are not an offer from this course, and they are not a salary we will promise you.

Only the modules named by Dr Krish Bharggav are listed. A topic that is not in this table is not something this page claims you will be taught.

1. Month 1 — Excel. Excel is the first month, matching the published Data Analytics syllabus. Lookup, logic, pivot tables, cleaning, and a dashboard you can explain. Analyst interviews still open here, so the month does not skip it.
2. Month 2 — SQL. SQL is the second month: filters, joins, grouping, and the queries an analyst is asked to read out loud. The published module also includes window functions. You practise on data you can show.
3. Month 3 — Python. Python for analysis is the third month. The published tools are Python, Pandas and NumPy: cleaning, exploring, and a chart that supports a sentence. This is analysis Python, not a backend course.
4. Month 4 — Statistics. Statistics sits in the published syllabus between Python and Power BI: averages, spread, correlation, and a regression you can describe without hiding the assumption. You use it to defend a number, not to decorate a slide.
5. Month 5 — Power BI. Power BI is the fifth month: a model, DAX measures, a dashboard, and a refresh you can explain. The published projects start from this skill: retail sales, HR attrition, e-commerce, finance, and an executive KPI view.
6. Month 6 — Projects and the AI interview. The last month is those published projects, plus the free AI interview. Five dashboards are listed on the Data Analytics course page. You talk through the ones you built. A dashboard is not a year of employment.

The next step on Data Analytics in Bangalore is the free AI interview at /get-hired, not a seat you pay for first. The clear mark is 75%. Score 75% or above and your CV goes to 3,000 HR recruiters. On BrowseJobs internal data, that score comes with an almost 60% higher chance of an interview call. Below 75%, you get a free counselling roadmap rather than a profile sent out in hope.

A person always releases the offer letter. The interview can rank and explain. It does not hire you, and neither does finishing six months of class. Nobody can guarantee employment. The market decides, and so does your performance. There is no fixed salary on this page.

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

Freshers, and people moving from non-IT roles whose work is closer to reports than to pipelines. Excel, SQL, Python and Power BI are the tools. If you already want Spark, Databricks and cloud pipelines, that is Data Engineering, not this course.

The non-IT page is the longer test of fit, including a career gap. A gap is not a bar by itself. An invented job on a CV is not how we fill one.

Compare three things you can check this week. First, live or recorded: a person teaching a class you can attend is different from a shelf of old videos sold as a batch. Ask which one you are buying. BrowseJobs classes are live, with recordings kept so a missed session is recoverable.

Second, the fee model. Write down what is due before anyone hires you, and what is due only after you accept an offer. Here, ₹30,000 covers the course. Pay after placement is three months of the CTC on the offer you accept, charged in EMIs after that acceptance. A slogan that says the course is free until you are hired is not this model.

Third, the placement terms. Ask what score sends a CV anywhere, what happens below that score, and who is allowed to release an offer. Our answers are the 75% mark, the free counselling roadmap below it, and a person on the offer letter. Do not take a guarantee from anyone, including us. We will not give one.