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  • About the course
  • Why this course?
  • Eligibility
  • Program details and module details

While 'Analytics' as a term has been around for some time now, 'Big data' is a more recent phrase. It has come into existence because of the sheer volume of data that is being generated today in almost every aspect of our lives. All this is creating a need to manage this data differently. When put to good use, Data allows analysts to spot trends, extract insights and make predictions. . Businesses have realized that analysing this huge volume of data can give extremely valuable insights that can help them drive revenues or profits or customer loyalty.

Analytics is the next big thing that is already starting to transform businesses and their ability to compete by helping them make smarter decisions. Analytics is the new career of choice for those who want to stay ahead. It is among the most well paid .Companies are now beginning to create an extremely important new position called the Chief Analytics Officer! Analytics is one of the best career options today and those who invest in it will be on the fast track to success. And the right time is NOW.

The Professional Certificate in Data Analytics is the most comprehensive training program – it is designed based on inputs from the industry. It is designed and developed by practitioners and is delivered by experts. The program includes both - concepts as well as the hands-on skills through assignments and case studies to succeed in an Analytics career.

This program contains the following courses:

  • Data Analytics Essentials (DAE)
  • Implementing Data Analytics Using R (IDAR)
  • Working with Advanced Business Analytics Techniques (WABAT)

A career in Analytics requires knowledge and skills from an extremely diverse set of fields: mathematics, statistics, economics, econometrics, IT, marketing, finance, HR, domain knowledge and of course a set of software tools. This means that while almost anyone with an interest in numbers can get in, everyone needs some training. Analytics is not so much about tools or technologies, it is away of thinking that allows the use of knowledge, tools and technologies to extract valuable insights from data and to predict what is likely to happen based on the data.

The participant needs to clear the BA Admission test to be eligible for admission to this program.

Data Analytics Essentials (DAE)

All of the important tools and techniques used to perform data/business analytics require application of Maths and Stats along with understanding of the influencing econometric factors. This course aims to bring all participants at the desired base level on essential Maths/stats and eco to appreciate the advanced Analytics Methods and techniques covered in CDA/CBA program. This course will refresh Data Analytics Essentials:

  • The concepts of essential Maths, Stats and Eco which are critical for understanding the Data Analytics Concepts
  • Data Analytics Essentials
  • Essential Maths
  • Permutation & Combination, Linear algebra, Calculus, Set Theory & Probability
  • Basic Stats & Economics
  • Data Types Data Types and Data representations, Central Tendency, Dispersion, Skewness, Probability Distributions, Correlation
  • Assignments /Group Activity
Implementing Data Analytics Using R

This course is aimed to make the participant familiar with Statistical concepts and provide hands on exposure on the specific techniques used in data analysis like Sampling techniques & Estimation, Hypothesis testing, Linear regression and analysis of variance using R. Open Source Tools like R are gaining popularity and also because of the GUI interface. Analytics Tools is critical to process and analyse large data sets. Data Preparation and ETL activity are best done with the help of tools for accuracy and speed:

Implementing Data Analytics Using R

  • Statistical Inference & Predictive Analytics
  • Sampling Techniques and Estimation (Point and Interval)
  • Hypothesis Testing
  • Linear Regression
  • Analysis of Variance
  • Predictive Analytics - Non Linear and Logistics Regression
  • Using R
  • Overview of R and Rattle
  • Data Preparation
  • ETL
Working with Advanced Business Analytics Techniques

This course is aimed at teaching statistical concepts and advanced analytics techniques specific to a business function and to illustrate the inter operability of techniques amongst various functions. The focus is on special analytics methods and advanced techniques to build Predictive Models after data has been prepared and ETL has been done. It covers applying market research coupled with concepts of data mining and Text mining for segmentation and analysis of various data types (numbers or text).This course focuses on advanced and special techniques used of Business forecasting, data mining and Text mining and their cross application in various business functions :

  • Working with Advanced Business Analytics Techniques Advanced Techniques in
  • Market Research
  • Marketing Research
  • Segmentation and Cluster Analysis
  • Data Mining & Special Methods in Data Mining like CRISP Methodology
  • Text Mining
  • Application of Advanced Techniques in Business Functions
  • Finance
  • Ops Mgmt
  • Supply chain
  • Operations Research and HRM

Faculty Speak

  • Tathagata Mukhopadhyay

    • M.Sc (Statistics),Calcutta University
    • Executive Program on Management, IIM, Calcutta
    • More than 11 years on Analytics experience across various industry verticals in leading organizations like Genpact, TCS etc.
    • Six-Sigma Green Belt certified

Program Highlights

  • Curriculum

    • Design inputs from leading Analytics    firms
    • Developed by Industry practitioners
    • Two entry points to the program to suit    participant’s need
  • Faculty

    • Industry practitioners
    • Highly qualified experts
    • 180+ Hours of Instructor led training
    • Training by Industry Experts with 11+    years of experience
  • Case-based Approach

    • Cases from Marketing, Finance, SCM, HR
    • Cases from Banking, Media, Retail,    Healthcare
  • Hands-On Practice/Tools

    • Extensive practice through assignments,    cases, project
    • R, Excel, Solver
    • Hands-on exercises to apply concept to    real world case studies


  • Ashwin MS
    BE (CS) ; NIIT Nungambakkam Center ;Chennai; Batch 1

    "Very Relevant to my Banking Profession because of the variety of the tools and techniques covered"
  • Princy Kalra
    Infosys ; Quality Analyst ; NIIT South Ex Center ; Batch 1 ; Currently based in Australia

    "I liked the case-based ; project centric approach to mastering concepts. I used the recorded lectures and class tests to revisit special techniques"
  • Sonal Pandey
    M.E. (Bio. Tech, BITS Pilani) ; NIIT Kormangala Center, Bangalore, Batch 1

    "While Analytics in Life Sciences was a logical career choice after ME in Biotechnology from BITS Pilani and while I joined the PGCBA program in grow in Life Science domain in Healthcare analytics, I however feel that the course content has equipped me with Analytical Skill in any domain"
  • Nishant Kansal
    M.Sc (Stat) ; NIIT CP Center, New Delhi, Batch 1

    "Even being M.Sc(Stat) , this program enhanced by analytical skills upto a great extent and now I have the confidence to face any industrial data to apply statistical methodologies to get the best results"
  • Vaishnavi
    BE (Chem Engg) ; NIIT Gurgaon Center, Sec 14, Gurgaon , Batch 1

    "After my stint as a scientist at ISRO, I wanted to pursue a career which was both challenging and exciting as my previous one ! The rigor of the PGCBA program is designed to explore your mathematical and analytics abilities while imbibing the tools and techniques used in industry for Predictive Analytics"

faculty profiles

  • Goutam Das

    • M. Tech(Computer Engineering), Indian Institute Of Technology, Kharagpur
    • More then 20 years of experience across various industry verticals
    • Expertise in designing, implementing and consulting in Business Analytics, Six Sigma, Balanced Scorecard, IT Services spanning across several industry verticals.
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Program FAQs

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 NIIT?

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 Analytics?

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 future.

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 the opportunity.

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.

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