Absolutely not. Our courses are project-based, and require you to learn by working more than by reading. You will spend most of your time coding with the help of your mentor, and course materials that will be available to you on the dashboard.

Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.

All you need is a laptop, internet connection and passion for the subject you have chosen.

Yes, you will get an internationally recognized certificate if you successfully complete the course.

Yes, we do conduct internal examinations. Our certificates are issued according to performances in assignments and projects.

Yes, you can if you are dissatisfied. In that case, feel free to contact our support team at info@defouranalytics.com to request for a change.

In case you drop out of the course due to a genuine reason, you will have 6 months’ time to return to it. If you fail to return to your training within this period, you will have to start afresh

  • Our placement assistance program offers students one-on-one career counselling, and the chance to work with our corporate partners. Candidates who fulfill the following criteria will be eligible for the program:
  • Successfully completed at least 1 quality project.
  • Was never found plagiarizing code.

Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at info@defournalytics.com.

You can write to us at info@defouranalytics.com with your contact details. Our representatives generally respond to requests within 24 hours.

We accept online and cheque payments.

Non-Indians have to pay by transferring the course amount to the Bank. The details have been given on the website.

Yes, we do. We believe in the quality of our courses, and are confident that you will not feel the need to ask for a refund. In case you do feel the need, you can request a refund by writing to us at info@defouranalytics.com. You can apply for a refund within three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of Defour’s refund policy may be revised without prior notice. Please check websites for updates on this policy.

You can pay after registering for the course. You can pay via net banking. Our payment portal has an option if you wish to pay in installments. 

No specific background knowledge required. Any graduate can apply for it. Basic problem solving and mathematical skills are required for the course.

Yes, the course content in form of handouts and other relevant material will be provided

No, it is not mandatory to be a member for joining the course.

You can enroll and register for the course through our website.

You should possess computer/laptop, with internet connection. The details of requirements would be sent to you after enrolling for the course.

When the course starts, you can access the material.

You can email your doubts on queries@defouranalytics.com .

You can call or write a mail or visit the office. The contact details are shared on the website.

Knowledge of English is recommended.

Yes you can join multiple courses at a time, if the timings do not overlap.

Yes, as courses reach their enrolment capacity you can be placed on a waitlist and contacted when space opens in the course.  We contact students in the order they were added to the waitlist.

Yes, we will notify you to communicate any changes in the class schedule.  We use e-mail if we have to communicate the change.  

The material for missed classes will be provided, and whenever next class will be scheduled for a different batch, you can be accomodated in it.

The comprehensive Analytics program by Defour Analytics has been designed by experts, with from several leading analytics companies, to create professionals’ adept at analytics. Our experts are practitioners who have rich work experience with some of the best analytics firms and Fortune 500 clients and for the program, we use the real industry use-case based approach to learning.

This is one of those fields that people are switching to, even very late in their careers, because it is exciting and extremely well-paid with exceptionally bright growth prospects. The data revolution is just beginning!

Our courses are standardized for quality control, and personalized to meet your requirements. As soon as you enrol for a course, our counsellor will speak to you regarding your time preferences, skills, and career objectives. You will be assigned to a batch that best suits your profile, and your sessions will start soon thereafter. Most courses have 2 x 2.5 hr sessions per week, and are 8-12 weeks long. They culminate with a capstone project and certification. Defour also provides placement assistance.

You will be learning R software/ "R Studio", Python, SAS, Tableau and Alteryx in the classroom session

This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices.

No. Programming is not required as a pre-requisite. However, those who are familiar with programming will have an advantage.

Our courses are rigorous so that you can learn as much as possible within a considerably short period. We expect our students to devote at least 10-15 hours every week towards the course.

You will get personalized feedback from our mentors and study advisors.

Our mentors are top-notch industry professionals with good work experience. You will be taught by the best regardless of which batch you join as all our mentors are experts, who love technology, and are passionate about teaching.

Most of our courses are easy to join and cover the basics. Hence, prior knowledge of anything is seldom required. Having said that, any knowledge of the subjects or experience in the field is always a plus.

Learners with a background in business management, engineering, mathematics, statistics, or economics are best placed to undertake this program.

You can attend a live classroom demo.