Advanced Program in Data Sciences

One year blended learning Advanced Program in Data Sciences(APDS) from the Indian Institute of Management Calcutta with 275 hours of live online classes and 2 campus visits spanning 10 days at the beautiful IIMC campus.

  • Accelerate your career with specialization in Data Science
  • Acquire strong foundation in advanced quantitative and statistical tools
  • Learn data science concepts like Machine Learning,Optimization,Visualization,Distributed Processing using Hadoop and MapReduce etc.
  • Receive alumni status from IIMC on successful course completion
  • Learn on weekends and evenings without interrupting your work schedule

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About Advanced Program in Data Sciences

Data science is the study of extracting knowledge or insights from data in various forms. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, operations research, information science, and computer science. Demand for trained data scientists has witnessed a massive growth in recent years. Data analysis is not only essential but crucial for meeting the challenges of making most efficient strategic decisions. Data science concepts apply across various domains such as the government sector, agricultural sector, atmospheric sciences, infrastructure management, financial markets, and ecommerce.

The aim of this course is to introduce learners to the different tools and techniques used for handling, managing, analyzing, and interpreting data. This course offers a hands-on learning experience with introduction to specialized software such as XLMiner, SAS Enterprise Miner, SPSS, R, @RISK, Apache Spark etc. This course is designed for working professionals who want to advance their career in data manipulation.

The advanced program in data sciences will enable the learners to acquire a strong foundation in manipulation of data to succeed in leading organizations.

Course Objectives
  • Acquire a strong foundation in Statistics for Data Science
  • Learn the insights of Database Management and Data Warehousing
  • Get familiar with the latest tools such as XLMiner, SAS Enterprise Miner, SPSS, R, @Risk, Apache Spark etc.
  • Build Complex Events and Stream Analysis using Big Data Analytics
Curriculum
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
  • Generalized Autoregressive Conditional Heteroscedasticity(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
    • Analytic Hierarchy Process (AHP)
  • 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
  • Data Warehousing Concepts, 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
Project

As part of the course, learners will be required to form small teams, and undertake projects of their choice in the areas of marketing, finance, and operations to be guided by IIMC instructors.

Instructor

The course will be taught by various eminent faculty from IIM Calcutta. The IIM 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

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

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.

Certification

On successful completion of the course, the learner will receive a certificate of completion from IIMC. The candidates will also be awarded an alumni status by IIMC.

There will be exams at the end of each module. All exams would be assessed on four different grades – Excellent, Good, Average and Poor. Candidates will successfully complete the course if they have received poor grades in not more than two exams. All learners must attend at least 80% of all sessions in each module, and get minimum grades to be eligible for certificate of successful completion from IIM Calcutta.

Pre-requisites

The pre-requisites for the program are:

  • The applicant should be a Graduate (10+2+3 or equivalent) or a Post-graduate in any discipline with a minimum of 50% marks (aggregate).
  • The applicant should have a work experience of at least 3 years.
  • The applicant should be working full-time at the time of application

Applicant selection will be based on:

  • Performance in the Pre-admission Test
  • Past Academic Performance
  • Work Experience
FAQs

Why learn Data Science?

Data analysis is not only essential but indispensable for meeting the challenges of making most efficient strategic as well as tactical decisions. According to the report published by analyticsindiamag.com, India is poised to emerge as the Data Science capital of the world with global organizations like Mercedes-Benz, Target, Walmart, PayPal, AIG, Accenture etc. setting up their Data Science Centers of Excellence in India. There are at least 50,000 jobs in India in Data Science and Analytics from firms like Amazon, Citi, Goldman Sachs, Accenture, EY, KPMG, JP Morgan, Microsoft, Aditya Birla Group, Reliance etc. As Data Science becomes an integral part of decision making in organizations, demand for trained data scientists has witnessed a massive and is only going to increase further. And according to Economic Times, this massive demand coupled with a supply scarcity, has pushed the salaries of top talent in this space up to and beyond the Rs 3.5 crore mark. This is the right time to equip yourself with the right skills and make the jump into your dream career in data science.

What is the participant profile in this course?

The first batch of APDS had participants with a diverse range of experience from 3 to 20 years, with an average experience of 9 years. 40% of the batch also holds Post Graduation degrees.

The participants were from renowned organizations like JP Morgan Services India, HSBC, Bosch, E&Y, Morgan Stanley Advantage Services, Capgemini, PWC, Ericsson, Oracle, Philips, Nomura Services, IBM, Cognizant, Infosys, Wipro, MindTree etc. and many more.

They hold positions like Director, CTO, Vice President, Assistant Vice President, Deputy General Manager, Data Scientist, Principal Consultant, Consultant (Data Analytics and Modeling), Senior Business Analyst, Finance Manager, Supply Chain Analyst, Senior Database Administrator, Delivery Manager, Senior Technology Architect etc.

The campus modules and projects will gives you ample opportunity to interact and learn not only from the faculty but your peers.

What kind of projects do the participants work on in APDS?

As part of the course participants will be required to form small teams, and undertake data science projects of their choice in the areas of marketing, finance, and operations. They will be guided by IIMC professors in their project work.

Some of the project that the last batch of participants worked on include:

  • Analyzing investor behavior and predicting investment preferences
  • Instacart Customer Cart Analysis
  • Market Basket Analysis - Which products will the customer purchase again?"
  • Predicting Daily Price of Bitcoin
  • Human Resources Analytics - Why do even the best and most experienced employees leave companies prematurely?

Is there any entrance exam for the course?

All applicants need to undergo a Program Aptitude Test or PAT. PAT is a 90 minute mutiple-choice, online, proctored test. The test is scheduled on Sundays and applicants can choose a convenienet day and time at the time of application.

PAT measures aptitude of the participants through an assessment of their skills and abilities in functional areas as well as supporting personality traits that determine success in modern work environments.

The PAT covers the following four areas:

  • Verbal Ability & Communication Skills: 30 out of 100

The ability to interact with internal/external customers & peers, & to structure & communicate thoughts fluently.

  • Numerical Ability: 35 out of 100
  • The ability to use basic mathematical skills (at class X level) to solve numerical problems quickly.

    • Logical Reasoning & Creative Problem Solving: 20 out of 100
    • Logical Reasoning is the ability to analyse data and think through inferences clearly. Creative problem requires a combination of innovative thinking and logical reasoning keeping the end-objective in mind.

      • Supporting Personality Traits: 15 out of 100
      • Leadership, Resource Optimisation, Result Orientation and Teamwork – considered essential traits to succeed in modern work-situations.

What happens if I miss a session?

All the live sessions are recorded and available for later view. Learners can refer to recordings of a missed session at their convenience.

What is the course fee and what are the payment options?

Course Fee

The course fee is 2,84,000 or 5550. We also offer Installments options which is as below:

I II III IV V
Date On Application On Registration May 2018 Jul 2018 Sept 2018
Amount INR 9000 110000 55000 55000 55000
Amount USD 165 2154 1077 1077 1077


Application Fee

An Application Fee of 9,000 or 165 has to be paid at the time of application. In case the candidate is selected for the course, then this amount will be adjusted in the course fee. If the candidate is not selected the entire application fee (along with the tax collected) will be refunded.

The Application Fee will NOT be refunded in case of any of the following conditions:

  • The application is found to be incomplete or inaccurate at any stage of scrutiny.
  • The applicant is offered a seat for the course and does not join before the date mentioned in the offer letter.
  • It is the responsibility of the applicant to ensure that the application is complete in all respects. The selection offer letter is for a specific batch of a course. Neither the offer for admission nor the initial amount is transferable to any other course or batch.

Campus Visit Fee

A mandatory campus visit fee is to be paid before every campus visit to IIMC. This amount includes boarding and lodging. Travel arrangements including travel expenses for the campus visit have to be made by the learners themselves. The campus visit fee should be paid via DD drawn in favor of "Indian Institute of Management Calcutta" payable at Kolkata close to the visit date.

A campus visit fee of 6000 per day plus applicable taxes is payable directly to IIMC. This amount will be paid over three installments, before the beginning of each campus visit. AC accommodation will be provided on twin sharing basis at IIM Calcutta.

Note: The INR amounts shown above do not include taxes. Applicable taxes will be charged on all transactions.

What is your refund policy?

Upon registering for the course, if for some reason you are unable or unwilling to participate in the course further, you can apply for a refund. You can initiate the refund any time before start of the second session of the course by sending an email to support@training.com, with your enrollment details and bank account details (where you want the amount to be transferred). Once you initiate a refund request, you will receive the amount within 21 days after confirmation and verification by our team. This is provided if you have not downloaded any course ware after registration.

Please Note: training.com/NIIT will conduct an orientation prior to the first session by IIMC. This orientation is considered the official start of the program/batch.

The Application Fee will NOT be refunded in case of any of the following conditions:

  • The application is found to be incomplete or inaccurate at any stage of scrutiny.
  • The applicant is offered a seat for the course and does not join before the date mentioned in the offer letter.
  • It is the responsibility of the applicant to ensure that the application is complete in all respects. The selection offer letter is for a specific batch of a course. Neither the offer for admission nor the initial amount is transferable to any other course or batch.

What are the minimum system requirements to attend the course?

    Minimum system requirements for accessing the courses are:

  • Personal computer or Laptop with web camera
  • Headphone with Mic
  • Broadband connection with minimum bandwidth of 1 Mbps.However, recommend is 2 Mbps.
  • A self-diagnostic test to meet necessary requirements to be done is available at

    https://na1cps.adobeconnect.com/common/help/en/support/meeting_test.htm

    Please note that webcam, mike and internet speed cannot be verified through this link.

Do you provide placements?

Our courses are not placement linked. But we have tied up with the premier job portal site iimjobs.com their ‘Career Enhancement Services’. On successful completion of the course, all participants will receive this complimentary service which includes:

  • Improvement of Profile Rank: The ranking of your profile is improved by an average of 20% on www.iimjobs.com. The highest ranked candidates are visible at top to recruiters
  • Profile Highlighting: Profile highlighting leading to better chances of being noticed by the recruiters

Is there an official support desk for technical guidance during the training program?

Yes. For immediate technical support, you can reach out on 91-9717992809 or 0124-4917203 between 9:00 AM and 8:00 PM IST. You can write to support@training.com for all other queries and our team will be happy to help you.

Can I refer a friend for the program? What benefit will I receive for the referral?

You can refer any of your friends, family, or colleagues for the course.

  • On registering for any course, you will receive a mail from us with your referral code. You can also access this code through the “Refer your friend” option in your learning dashboard.
  • You can share this code with everyone that you wish to refer to the course
  • If anyone registers using this referral code (referral code has to be used as a coupon code at the time of registration) then then will receive a Rs. 9000 scholarship on the course fee
  • You will then become eligible for a referral credit of Rs. 9000. This referral credit can be reimbursed in the form of Amazon vouchers.
  • Just send us a mail at admissons@training.com and we will verify the referral and initiate the referral benefit
  • Two scholarships/coupon codes cannot be combined. Candidate can only avail one offer per program.

Course Features

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