There are 6 Excel courses listed in India, from 2 institutes. Fees are around ₹68,440. Programmes run 6 to 8 months. All 6 include placement or internship support, and 3 offer EMI. Fees are set by the institute and last checked October 2026.
Institutes on this page teach in person in Sonipat, Mysuru, Gurugram, Noida, Bengaluru.
| Institute | Course | Fee (INR) | Duration | Format | Next batch | Placement support |
|---|---|---|---|---|---|---|
| upGrad | Excel | On request | — | Offline | 26 Nov 2026 | Yes |
| upGrad | Excel | On request | — | Offline | 22 Oct 2026 | Yes |
| upGrad | Excel | On request | — | Offline | — | Yes |
| AnalytixLabs | Data Analytics with AI Course | ₹68,440 | 6 to 8 months | Offline | 29 Sep 2026 | Yes |
| AnalytixLabs | Data Analytics with AI Course | ₹68,440 | 6 to 8 months | Offline | 16 Oct 2026 | Yes |
| AnalytixLabs | Data Analytics with AI Course | ₹68,440 | 6 to 8 months | Offline | 9 Nov 2026 | Yes |
upGrad is a Mumbai-based online higher education company offering certificate, executive PG and degree programmes in AI, data science, software engineering, cybersecurity and management with university partners such as IIIT Bangalore, IIT Delhi and IIT Kharagpur, alongside offline learning centres.
upGrad is a Mumbai-based online higher education company offering certificate, executive PG and degree programmes in AI, data science, software engineering, cybersecurity and management with university partners such as IIIT Bangalore, IIT Delhi and IIT Kharagpur, alongside offline learning centres.
upGrad is a Mumbai-based online higher education company offering certificate, executive PG and degree programmes in AI, data science, software engineering, cybersecurity and management with university partners such as IIIT Bangalore, IIT Delhi and IIT Kharagpur, alongside offline learning centres.
AnalytixLabs is a data science and AI training institute founded in 2011, with classroom centres in Gurugram, Noida and Bengaluru and live online batches. It runs weekday bootcamps and weekend classroom programmes in data analytics, data science, full stack AI and generative AI, with certifications through NASSCOM FutureSkills Prime and TIH at IIT Bombay and IIT Patna.
AnalytixLabs is a data science and AI training institute founded in 2011, with classroom centres in Gurugram, Noida and Bengaluru and live online batches. It runs weekday bootcamps and weekend classroom programmes in data analytics, data science, full stack AI and generative AI, with certifications through NASSCOM FutureSkills Prime and TIH at IIT Bombay and IIT Patna.
AnalytixLabs is a data science and AI training institute founded in 2011, with classroom centres in Gurugram, Noida and Bengaluru and live online batches. It runs weekday bootcamps and weekend classroom programmes in data analytics, data science, full stack AI and generative AI, with certifications through NASSCOM FutureSkills Prime and TIH at IIT Bombay and IIT Patna.
Across the 6 Excel courses listed in India, fees run from ₹68,440 to ₹68,440. 3 of 6 offer EMI, so the fee can be paid monthly. Fees are set by the institute, are approximate, and were last checked October 2026. Confirm the current figure with the institute before you enrol.
Listed durations are 6 to 8 months. Part-time and weekend batches covering the same syllabus run longer than full-time ones, so compare the syllabus rather than the number of months.
6 of the 6 Excel courses listed in India include placement or internship assistance. Placement support means different things at different institutes — interview preparation, referrals, or a guarantee. Ask which one is being offered, and get it in writing.
Institutes teaching Excel in India have centres in Sonipat, Mysuru, Gurugram, Noida, Bengaluru. Each listing below names the institute's own centres, so you can choose on travel time as well as on fee.
Most Excel programmes listed here accept beginners and career changers; executive and postgraduate programmes usually ask for work experience or a related degree. Each listing shows its level, so check that field before applying.