Classroom · Bengaluru Cambridge Layout
130-HOUR CLASSROOM PROGRAMME
Data analytics.
Learn it in person.
Cambridge Layout, Bengaluru.
Weekday & weekend batches.
Beginner-friendly · 15-seat batch size
Confirm payment terms and applicable taxes with admissions.
A free course-fit conversation
- Find a classroom batch that fitsConfirm weekday/weekend timings and available start dates.
- See what you’ll learn and buildExcel, SQL, Power BI, Tableau, and Python through real portfolio projects.
- Understand the support includedFace-to-face mentoring, certificate, interview and placement preparation.
Free counselling. Paid course. No obligation to enrol.
YOUR TRAINER
UK-qualified Data ScientistM.S. Data Science & AI, University of Liverpool, UK
Assistant Professor, AI & Data Science
3rd Floor, No.15/5, above HDFC Bank, Cambridge Layout, Halasuru, Bengaluru 560008.
View campus on Google Maps (opens in a new tab)What happens after you enquire
- 01Your request reaches admissions
We receive your contact details, attendance fit, and start timeline.
- 02An advisor gets in touch
Expect a call or WhatsApp about your classroom course enquiry.
- 03Check the fit before deciding
Discuss fees, commute, and batch timings. No obligation to enrol.
Do I need a coding background?
No coding background is needed. This beginner-friendly classroom programme includes hands-on learning from day one, real portfolio projects, and face-to-face mentoring.
Where and when are classes held?
Classes are held in person at Cambridge Layout, Bengaluru. The programme is 130 hours, with weekday and weekend batch options and a 15-seat batch size. Admissions will confirm the available start dates, exact timings, and seats before you decide. Submitting an enquiry does not guarantee your preferred start date.
What is the course fee?
Ask admissions for a written course fee quote, including payment terms and any applicable taxes. The counselling call is free. No payment is collected on this page.
Am I enrolling by filling this form?
No. You are requesting a call about the Data Analytics course. No payment is collected here, and submitting does not reserve a seat or enrol you.
Discuss fees and batch options before you decide.