Q1. What's special about NIIT's program on Analytics?
The comprehensive Analytics program from NIIT has been designed to create complete
analytics professionals. It has been designed by experts with inputs from several
leading analytics companies. It is delivered by practitioners who have rich experience
of having worked for some of the best analytics firms and Fortune 500 clients. And
the program uses a case-based approach to learning.
Q2. What tools are taught?
R and Advanced Excel. R is fast emerging as the most popular tool.
Q3. Is the course conceptual or hands-on?
The program has been designed based on the inputs of some of the leading analytics
firms and is a balance between concepts and hands-on practice. There are intensive
assignments, case-studies and projects.
Q4. What is the eligibility for this program?
Learners with a background in business management, engineering, mathematics, statistics,
or economics are best placed to undertake this program. An admission test will be
administered to accept students into the program.
Q5. What are some of the job profiles at the entry level in Analytics?
Business Analyst, Data Analyst, Data Manager
Q6. Who are some of the major employers in Analytics?
There are mainly FOUR types of employers: 1. Large IT companies who have an Analytics
practice; 2. Analytics KPOs; 3. In-House Analytics Units of large corporates; and
4. Nice Analytics firms.
Q7. Which are the some of the big Analytics companies with operations in India?
The following is only a representative list: 1. IT - Infosys, TCS, Wipro; 2. KPO
- Genpact, WNS; 3. Citibank, Dell, HP, Spencers, Target; and 4. Niche: Brainmatics,
Fractal Analytics, Mu Sigma.
Q8. Why would one go for this field? What is the future scope in this domain?
This is one of the most exciting fields. The Harvard Business Review named it as
one of the 'sexiest jobs of the 21st century.'
Q9. Which industry can one be a part of after doing this Analytics program from
Analytics is fast emerging as an industry in its own right. However, analytics jobs
and careers exist in most large companies in almost every industry vertical - banks,
retail, online businesses, manufacturing, telecom, healthcare, you-name-it.
Q10. Can and should professionals with experience in some other fields switch to
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!
Q11. What is the duration of the program?
6 months (PCDA Combo ) ; 4 Months (PCDA Modular)
Q12. What are the prerequisites for joining the program?
We are expecting a Bachelor level degree with some higher education courses in Economics,
Statistics or Mathematics.
Q13. I am not sure what level of mathematical aptitude is required and whether I
have it or not?
You can take a free admission test at select NIIT centres and based on the result,
we can tell you whether you are a good fit for this program or not.
Q14. Is the program offered India wide?
No. Currently it is available in select centres in Bengaluru, Chennai, Delhi, Gurgaon,
Hyderabad, Kolkata, Mumbai and Pune. It may be extended to other NIIT centers in
Q15. Can I attend the program online?
No., you will have to attend the classes at our NIIT centres mentioned above.
Q16. How will the program be delivered?
The expert faculty will be delivering the programs (live) from one of NIIT’s™ studios
using NIIT’s™ synchronous learning platform.
Q17. How many hours of classes every week?
Around 8 hours of classes per week.
Q18. When will the classes be held?
There are weekend batches to suit the convenience of working professionals
Q19. Is this a theory oriented program or will there be practical sessions as well?
This program has been designed using inputs from the industry and includes a balance
between concepts and practical, hands-on skills. Throughout the program there are
extensive assignments, cases and projects which ensure that learners pick up the
requisite concepts and skills.
Q20. Do I need to know programming to enroll into this program?
No. Programming is not required as a pre-requisite. However, those who are familiar
with programming will be able to use it to their advantage.
Q21. What if I miss a class?
NIIT provides a feature called Lecture On Demand which allows you to catch up on
the lecture(s) you have missed before you attend the next session.
Q22. Is there an admission test to qualify for the program?
Yes, there is an admission test which checks for mathematical and numerical ability.
Q23. Can the admission test be waived?
No. The admission test is mandatory.
Q24. I have no IT experience. Is this program for me?
IT experience is not necessary for this program.
Q25. How is this program going to help me in building my career? What kind of companies
are going to hire me?
Business Analytics is the buzzword of the day. All big organizations are interested
in utilizing Analytics in advancing their businesses. The program will offer you
competitive advantage in your current job or can help you switch careers to analytics.
Q26. I have 5/10/15 years of experience in Insurance or Banking or Telecom or Supply
Chain Industry. After this program do I start as a beginner in Business Analytics?
As mentioned above, your knowledge about analytics along with your domain knowledge
(banking, telecom, insurance, etc) as well as your functional knowledge in marketing,
finance, HR, supply chain, etc are all valued and will give you a competitive advantage.
Q27. What kind of jobs am I likely to get after this training?
Almost all the big corporations need analytics professionals. You can be hired in
your own industry at entry/mid/senior level depending upon your experience and the
training you have had. IT companies and Analytics KPOs hire people to work on client
projects which cut across functional and vertical domains. If you have no prior
work experience, your best option is to join one of these.
Q28. Is it true that most of the work in analytics is done in western countries?
What is the scope in India?
Like every major paradigm shift in the past (ERP, CRM, BPO, BSC, 6 sigma etc), Business
Analytics also came as a big wave from western world, mostly US and Europe. However,
like everything else, most of the work eventually gets outsourced to India and for
that, Indian companies require trained resources in large numbers. Also Indian companies
have started adopting analytics (like with other concepts/technologies in the past).
With training in analytics, you will be already few steps ahead and ready to grab
Q29. Who will be teaching the programs?
A mix of academic and industry experts, people who have worked on large analytics
projects for Fortune 500 companies in retail, media, telecom, banking, insurance
etc across the globe and taught at some of the premier institutes in India and abroad.
Q30. How is it different from M Stat or Master in Economics?
The prerequisite for most of the master level programs is much higher than what
is required here. Besides, most of the master level programs are of 2 years duration
as against 6 months in case of our program. The master level courses are taught
mostly by academics as against the mix of people with industry experience and academic
background in our program. Last, but not the least; our focus is to train you to
meet the market need as against imparting generic knowledge. The graduates from
this program will have much more industry weightage than a master level program
in Statistics or Economics.
Q31. Are you going to teach Hadoop and other big data technologies?
No, not as a part of this program. However, you will get an overview of these technologies
so that as an analytics professional, you learn to appreciate what you can expect
from the big data (IT) specialists.
Q32. How is it different from learning Hadoop and other big data technologies?
Like ERP / CRM and other domain based concepts in past, Business Analytics has two
parts functional and technical. Business Analytics is the functional aspect of Big
Data whereas Hadoop and MapReduce form the technical aspect
Q33. What tools are we going to use?
We are going to use R, which is a Statistical tool and some advanced MS Excel features.
R is growing rapidly, taking market share away from erstwhile established players
like SAS and SPSS. The main reason for this is that R is open source and therefore
FREE while SPSS and SAS are expensive to use.
Q34. Do I have to know these tools in advance?
No. But a degree of familiarity with advanced Excel will be very handy.
Q35. Are there other software like R?
Yes, there are. Some of them being SAS, Matlab, SPSS. However, SAS and R are the
most popular ones.
Q36. Why are you choosing R as against SAS or other Statistical tools?
R is getting widely accepted across the industry. It is the most popular statistical
software and is free. One of the biggest reasons for choosing R is that the students
can download it for free on their home machines for practice exercises.
Q37. Will I get a different certificate if I do do PCDA(Modular) version ?
No the Certificate for PCDA (C ) and PCDA (M ) is the same.