About course

Data Analytics (extended to Data Science) is the most sought after specialisation given that almost 1.5 lakh jobs were created in India in the year 2020 as per Business World. However, it requires a strong foundation in Statistics and Business Analytics which this course intends to provide high school aspirants looking to explore whether they enjoy the subject to be able to explore a career in Data Science. Based on the orientation, students could look at a Bachelors in Data Science or even a specialised Engineering Degree in AI & DS.

Course Objective

1. Review basic descriptive statistics taught in Foundation; Review of Normal distribution and its applications

2. Learn different types of sampling and their applications; methods of sampling; creating random samples in Excel

3. Understand the concept of Confidence Interval and hypothesis testing and decision making through different types of non-parametric tests and their applications

4. Learn simple modelling and predictive analytics in Excel using simple linear regression.


Skills you will gain


Reviewing descriptive statistics


Sampling and application


Non-parametric tests


Statistical modeling


Predictive analytics

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Course Format

Most videos will be lectures with the instructor talking using slides and solving problems for setting a common understanding of commands in excel and interpretation of results. Given the introductory nature of this course and emphasis on concepts and understanding of statistics. Demo using other tools like R and Python is not part of this course. Students should take notes and content will not be shared though the recommended text will be provided. There will be a final graded exam and minimum passing marks will be necessary to get a pass certification.

Essential for the course


Course requirements: No pre-requisites. Anyone who is interested in exploring Data Analytics can enrol. Certification will be only for students who pass with a minimum marks in the final exams (60 / 100)


System requirements: PC / laptop (loaded with Excel or open source equivalent) and broadband connectivity


Being punctual and on time for the lecture. Concepts mentioned earlier will not be repeated and this can cause a loss of continuity or understanding for the student who does not log in on time.

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Course tutor

Professor Soumya Choudhury
PGDM (General Management), IIM Ahmedabad (1996)
B.Tech. (Electrical Engineering), IIT Bombay (1993)

Soumya Choudhury has 23 years corporate experience in various Consulting and in Information Technology having worked for KPMG and IBM.

Soumya has been an Adjunct Professor at IFIM Business School, Bangalore and Visiting Faculty at NMIMS since 2019 where he teaches PGP1 and PGP2 students in Supply Chain Analytics, Introduction to Decision Science and Digital Business.

Soumya also has his own startup offering supply chain solutions and consulting services to industry verticals like FMCG, Retail and eCommerce.

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