Frequently asked questions(FAQ)




You can start by browsing through our Explore Analytics section. You could also visit our Analytics Training blog for more reading material, reports and in-depth articles on other topics like data science, machine learning, artificial intelligence, Big Data and IOT. If you’d prefer watching videos, head over to our Youtube channel.

The global average salary for data scientists is upwards of USD $100,000, while in India, average salaries range between 10 and 12 lakhs per annum depending on the company and its location. Entry level salaries in analytics have grown by more than 200% in the last 7-8 years and can fall anywhere between 6.5 and 9 lakhs. Read more about analytics and download the annual analytics industry & salaries report here.


EMI options are available on select credit cards. For more options, especially for our Long Term programs, please contact us at +1——–

Participants can pay through an online transfer, debit card or credit card (Visa, Master Card and Amex). Foreign students can pay via credit card or PayPal.

You can pay for the entire program or course upfront; or pay individually for each course as you progress.

Individual courses / course combinations / programs that have an in-person component OR have a hardware competent / kit OR have less than 10 hours in duration OR are priced less than INR 25,000 are not eligible for refund. If you enroll for a Full Stack program, you can receive a full refund amount (excluding the price of the kit if it is the Full Stack IOT program), if a refund request is placed up to a maximum of 7 days (one week) after payment. For any other queries, please reach out to our support team. Please refer to the Course Cancellation & Refund Policy in the Terms and Conditions page for additional details.


After payment, students need to setup their access. Once we have your access details, it will be system-enabled within a maximum of 2 days.

Our programs have been designed for all students regardless of any prior knowledge of analytics, statistics or coding. We have had and continue to have many successful students who are from non-IT or non-mathematics backgrounds. But the subject matter is quantitative, and hence a background in maths, statistics or coding is helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +1 9999999999


For any of the Big Data courses, past exposure to SQL and any programming language or programming concepts is desired. Prior knowledge of Linux is also helpful, but not mandatory. For advanced Big Data courses, exposure to SQL and programming preferably in Python is important. Familiarity with Hadoop specifically Hive would also be helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +91 9999999999

Online classes are recorded.  If you miss a class, you will have access to the same class.