Advanced Program in

Data Sciences

• Broad Contours

• Key Features

• Who Should Attend

• Course Content

• Course Architecture

• Certification

• Course Directors

• About IIMC

• Online Delivery

• Fees

• Detailed Course Content

Contents

Broad Contours

• Professor Preetam Basu and Professor Indranil BoseCourse

Directors

• One YearDuration

• Graduate (10+2+3 or equivalent) /Post Graduate with a min 50% marks

• Minimum 3 years of Work Experience

• Candidate should be currently workingEligibility

• Sessions will be held on Thur 6:30PM-9:30PM (IST) and Sun, 2:00PM-5:00PM (IST) Schedule

• The course Fee is Rs. 3,39,000. There is also additional campus visit fees of Rs. 6000 per day to be paid directly to IIM C.Course Fee

Please Note: The above fees are not inclusive of taxes

Key Features

A 1 year course, with 275 hours of Live Online Interactive sessions and 10 days of campus sessions

Main focus on data management and analysis with introduction to various software such XL-Miner, Tableau, SPSS, R, @Risk, Arena, Apache Spark, etc.

Detailed coverage of topics such as Data Representation & Visualization, Database Management & Data warehousing, Big Data Storage and Analysis

Projects of choice in the areas of marketing, finance and operations, guided by IIM C professors

Who Should Attend

APDS is a one year course brought to you by IIM Calcutta, designed for:

• Working Professionals aspiring to become Data Scientists

• Executives interested in the fields of Data Analysis and Management

• Executives in Management field seeking greater knowledge of quantitative techniques and sharper analytical skills

Course Content

• Statistics for Data Science

• Mathematical Methods for Data Science

• Data Representation and Visualization

• Econometric Methods

• Categorical data analysis

• Optimization

• Stochastic Processes and Simulation

• Database Management and Data Warehousing

• Machine Learning

• Decision Support Systems and Actionable Intelligence

• Big Data Storage and Analysis

Course Architecture

11 Course Modules

Specialized or Comprehensive Projects

3 Campus Visits (10 days total)

Certification from IIMC

IIMC Executive Education Alumni Status

Certification

• IIM Calcutta will conduct examination and other evaluation methods required for certification.

• Successful completion of the programme will require a participant to a) Attend at least 66% in each of the coursesb) Obtain no more than two “Poor” grades in the whole programme

• IIM Calcutta will award a certificate of successful completion to participants who complete the programme successfully.

• Participants with requisite attendance but with more than two “Poor” grades will receive a certificate of participation.

• Failure to take an examination will result in the participant getting an “incomplete” status and no certificate will be awarded to the participant. Also, a participant without requisite attendance (of at least 66%) in every course will not be awarded any certificate.

• Attendance in all campus visits is mandatory.

Course Directors

The course will be taught by various eminent faculty from IIM Calcutta.TheIIM Calcutta faculty profiles can be found at https://www.iimcal.ac.in/faculty/faculty-directory

Professor Indranil Bose and Professor Preetam Basu will be the course coordinators for APDS.

Prof Indranil Bose is a Professor of Management Information Systems at the Indian Institute of Management Calcutta. He was the founding Chairperson of the Postgraduate Diploma in Business Analytics offered by IIMC, IITKGP and ISL. His degrees include B. Tech (Hons.) from the Indian Institute of Technology, Kharagpur, MS from the University of Iowa and MS and PhD from Purdue University.

Prof. Preetam Basu is a Assistant Professor of Operations at IIM Calcutta. He has a PhD in from the University of Connecticut and an MS in mathematics from the University of Minnesota. He consults in the areas of supply chain management, revenue management and services operations.

Testimonials from Past Participants

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“As a beginner to the Data Science field, I joined this course with the expectation of building a strong foundation in Data Analytics. Though the course is rigorous given the short duration, it is so well tailored by the excellent faculty to give us exposure to contents similar to that of a full-time course. It is also giving me an opportunity to interact with accomplished peers to add to the learning experience.”

Ashwini B CEngineer

Nokia Solutions and Networks India Private LimitedAPDS 01 Participant

“I'm a cost accountant with twelve years of experience. I am getting knowledge in difference all area of data science. Syllabus is fully framed for data science and it is outstanding.”

Rajkumar RathinakumarProject Manager

Shriram Value Services Ltd.APDS 01 Participant

About IIMC

• IIMC, established by government of India in 1961, has emerged as one of Asia's finest business schools

• Its illustrious alumni include prominent executives, entrepreneurs and academicians like:

• Indra Nooyi (Chairman and CEO of PepsiCo)• Ajit Balakrishnan (Founder, Chairman & CEO

of Rediff.com)• P M Murty (MD & CEO of Asian Paints)• Ramchandra Guha (Academician and noted Author)

• IIM Calcutta attracts the best talent in India - a melting pot of academia, industry and research.

• From our core curriculum of General Management skills to advanced electives and seminars, our learners have access to a pre-eminent faculty of thought leaders

Online Delivery

• APDS will be delivered through a combination of online and face to face sessions.

• The online sessions will be led by the IIM Calcutta faculty and will conducted through

www.training.com. The live sessions can be accessed from your Windows PC/Laptop by

using your login credentials.

System Requirements• Windows PC/Laptop• Web Camera• Headphone with Mic• Internet connection with > 4 Mbps Speed (Upload & Download Speed)• This self-diagnostic test will verify if you meet the necessary software requirements

(webcam, mike and internet speed cannot be verified through this link) • https://na1cps.adobeconnect.com/common/help/en/support/meeting_test.htm

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FeesThe Course Fee is Rs 3,39,000 or $6050. You can avail the installment payment options mentioned below:

I II III IV V

Date On Application During Registration May 2019 Jul 2019 Sep 2019

INR 9000 126600 67800 67800 67800

USD 165 2255 1210 1210 1210Note:

• The USD price is applicable to Non-Indians and Indians residing outside India for the duration of the course.• The listed INR amounts do not include taxes. Applicable service tax will be charged on all transactions• If the candidate is NOT selected by institute, application fee will be partially refunded. INR 8,000/$135 will be REFUNDED

and INR 1000/$30 will be retained by NIIT as processing and administration charges• If the candidate is selected by institute, the application fee (INR 9,000 + taxes/$165) will be NON- REFUNDABLE• If candidate is NOT selected by Institute, the application fee will be refunded in 30 days from result declaration• All selected candidates will be issued an OFFER LETTER by training.com, on behalf on IIM Calcutta• A separate campus visit fee of INR 6000 per day + taxes will be charged. This amount is payable in 3 installments and

needs to be paid to IIM Calcutta before each campus visit.• training.com/IIMC reserve the right to foreclose admissions if we reach the requisite number of participants. Please apply

at the earliest to increase probability of acceptance

Detailed Course Content

Statistics for Data Science

• Probability Theory

• Statistical Inference

• Sampling Theory

• Hypothesis Testing

• Regression Analysis

Mathematical Methods for Data Science

• Calculus

• Linear Algebra

• Decision Theory

Data Representation and Visualization

• Exploring Data

• Finding Relationships among Variables

• Graphing Data• bar, pie and fever charts

• heat maps

• Correlation and Covariance

• Pivot Tables

Econometric Methods

• Time Series Analysis

• GARCH Models

• Fixed Effects Estimation

• Random Effects Estimation

Categorical Data Analysis

• Types of categorical data

• Generalized linear models

• Contingency tables

• Simple and multinomial logistic regression models

Optimization

• Linear Programming

• Integer Programming

• Multi-criteria Optimization• Goal Programming

• AHP (Analytic Hierarchy Process)

• Data Envelopment Analysis (DEA)

Stochastic Processes and Simulation

• Random Variables and Distributions

• Monte Carlo Simulation

• Discrete Event Simulation

• Variance Reduction Techniques

Database Management and Data Warehousing

• Relational database management: Schemas and relations

• Entity relationship diagrams

• Structured query language

• Datawarehouses, data marts and ETL

Machine Learning

• Supervised and unsupervised learning

• Kernel based methods

• Text mining techniques

• Performance evaluation

Decision Support Systems and Actionable

Intelligence

• ERP systems

• SCM and CRM systems

• CRISP-DM model

• Insights to actions in an Omni-Channel Environment

Big Data Storage and Analysis

• Structured, semi-structured and unstructured data

• In-memory storage and NoSQL

• Distributed processing: Hadoop and MapReduce

• Complex events and stream analysis

DISCLAIMER

This presentation has been prepared for general understanding of the candidates about the course. NIIT reserves the right, in its sole discretion, to revise, add, supplement or complement the academic aspects of the course including but not limited to the curriculum, admission norms, examination, evaluation criteria and the nomenclature of the course as well as the certificate/credential awarded to the candidates

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