Accelerate your career in data analytics by mastering concepts of Data Management, Statistics, Machine Learning and Big Data from most influential analytics leaders and academicians of India.
* Admissions started for June'17 cohort
Upon successful completion of the program, you will be awarded a Post Graduate Diploma Certificate from IIIT-Bangalore.
Learn how Uber matches cab supply and demand, how Cognizant predicts customer churn for telecom service providers & more.
Choose between BFSI, E-commerce/Retail, Healthcare/Life Sciences or Telecom/Media & build a resume showing expertise in one of the largest sectors in the world.
Apply for suitable data analytics profiles through our career support. Your career mentor will help you select and prepare for interviews.
Course DurationJune 2017 - May 201811 Months
Time Commitment6-10 hoursper week
Program FeeRs. 2,00,000(Incl. taxes)Flexible EMI options
This program has been designed in collaboration with some of the most influential analytics leader and top academician in data analytics.
Advanced Analytics Expert
Experfy & Ex - WNS
Associate Dean (Academics)
Associate Director Business Finance
Ex - AVP, Decision Sciences
Head - Data Science Program
Sr. Data Scientist
PRO Analytics & Strategy Manager - Uber India
Head- Information Management & Engineering
Introduction to Data Analytics
Understand what is data analytics & its applications across industries
Introduction to Data Sets and Data Models
Learn how to solve problems & understand the relevant data set structures for solving them
Business and Data Understanding
Equip yourself with the skills to understand business problem and data intuitively
Data Warehousing and OLAP
Equip yourself with the knowledge to extract and pre-process data before analysis
Make your data alive with visuals using R, Excel and tools like Tableau
Case Study - Investments
Implement your learnings to find sectors in which different companies ought to invest
Summarize and describe data sets using a measures such as Central tendency and variability
Learn probability, Central Limit Theorem and much more to draw inferences
Exploratory Data Analysis
Derive initial insights from the data using R and other visualization tools
Understand how to formulate & test hypotheses to solve various business problems
Design of Experiment
Use Design of Experiment methodology for data collection
Case Study- Uber Supply Demand Gap
Apply Statistics and understand how you can solve the supply demand gap of cabs for Uber
Data Preparation for Modelling
Equip yourself with the techniques and tools to prepare data for modelling
Introduction to Machine Learning
Learn all about Tasks, Features, Models and design of ML study
Learn to implement linear regression and predict continuous data values
Understand and implements algorithms like K-NN, Naïve Bayes, Logistic Regression and Support Vector Machines
Learn how to create segments based on similarities using K-Means and Hierarchical clustering
Case Study- Telecom Churn
Help a telecom giant predict if a customer will churn or not. Apply multiple algorithms simultaneously to see which one works the best
Equip yourself with the knowledge to select the best algorithms for your data
What if the data doesn’t follow a straight line? Learn Ridge regression, regularized regression and LASSO
Learn how to predict on time dependent/variant data
Tree based model that is simple and easy to use. Learn the fundamentals on how to implement them
Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI!
Learn how algorithms can be combined for better results
Association Rule Mining
Ever wonder why beer is kept next to diapers in superstores? Find out in this module
Introduction to Big Data And Hadoop
Understand the basic concepts of Big Data and used Hadoop as processing platform for Big Data
Managing Big Data
Learn and Use Hadoop Ecosystem tools for data ingestion, extraction and management. Hadoop ecosystem tools namely Sqoop, Hive will be covered in this Module
Introduction to Spark
Understand and use Spark, a fast Big Data processing platform. Also learn the basics of Scala
Big Data Analysis
Learn how to analyze Big Data using SparkR, SparkSQL. Learn the basics of MLib
Learn Customer analytics and Risk Analytics within BFSI
Learn customer marketing analytics and recommendations engines
Learn how analytics is revolutionizing both Telecom domain
Health Care/Life Science
Understand analytics usage in Healthcare improvement and drug discovery
*Elective would be launched only if there is a sizeable student demand for the particular elective.
The 3 month flagship capstone project will reinforce your specialization under the mentorship of an industry professional
You will receive the download link in your email.