Program Objectives
This program is designed to equip its participants with an in-depth knowledge of Big Data Analytics(BDA). We will use real case studies and handson demonstrations to illustrate the applications of key concepts. At the end of the course,the participants will be able to:
1.Appreciate the emergence of business analytics and big data as a competitive strategy.
2.Analyze datasets by applying techniques from statistics, operations research,machine learning, deep learning, network analysis and data mining.
3.Process unstructured data such as social media messages and machine generated clickstream logs.
4.Have a working knowledge of languages,platforms and tools that support statistical analysis and visualization (R/Python),distributed computing (Hadoop/Spark) and network analysis (Gephi).
5.Apply the theories, techniques and tools to solve problems from industry sectors such as manufacturing, services, retail, software, banking finance,sports,pharmaceuticals, and aerospace
Program Design
The course consists of ten modules and a project. All modules are application-oriented, without compromising on theoretical aspects. The following sections go over the individual modules and their contents.Case-based teaching shall be employed wherever possible, across all modules, with cases studies sourced from IIMB, Harvard Business School (HBS), Darden, Ivey, and Kellogg.The program shall have a special focus on business analytics as practiced in India. A significant proportion of the cases that we use in the program have been published by IIMB faculty on the Harvard Business Publishing site. A few of them are published by the alumni of other business analytics programs at IIMB, based ontheir project work.
Contents
1.Foundations of Data Science: Probability and Random variables
2.Exploratory data analysis with R and Python
3.Data visualization – techniques and principles. The grammar of ggplot2
4.Handling geospatial datasets
5.Normality. Sampling and central limit theorem. Estimation and hypothesis testing., maximum likelihood estimation
6.Matrix algebra. Eigenvalues and diagonalisation. Singular value decomposition
7.Bayes theorem • Concepts of multivariate calculus
Eligibility Criteria and Selection Process:
The participants should have a Bachelor degree in engineering/science/commerce or arts with mathematics as one of the subjects during their Bachelor’s program.Preferable work experience is 3 years, in exceptional cases applicants with less than 3 years are admitted into the program. It is essential that the applicants have programming knowledge.
Who should attend?
This certificate program will equip the participants with a large suite of analytical tools, as well as prepare them for corporate roles in analytics based consulting in marketing, operations, supply chain management, finance, insurance and general management in various industries. The course is suitable for those who are
already working in analytics, and wish to enhance their knowledge. We also welcome participants with a strong analytical aptitude, who would like to start their career in analytics.
Project:
Students are expected to do a live project as part of this course. The project report should be submitted by 15 May 2020. The participants have to submit the project proposal by 31 January 2020. The projects will be supervised by an IIMB faculty member.
Program Delivery: The program will be conducted live in the classroom at IIMB.
Award of Certificate: A certificate of completion will be awarded by IIMB to the participants at the end of the program, upon successful completion of the programme satisfying the program requirements.
Alumni: Successful completion of the programme also entitles participants to be admitted to IIM Bangalore Alumni Association
