Accelerate your career in data science by mastering concepts of Data Management, Statistics, Machine Learning and Big Data from most influential Data Science leaders and academicians of India.
* Admissions and applications open for March 2018 batch
* Prep Sessions starting on 20th December 2017
Upon successful completion of the program, you will be awarded a Post Graduate Diploma Degree from IIIT-Bangalore.
Learn how Uber matches cab supply and demand, how Cognizant predicts customer churn for telecom service providers & more.
Choose between BFS, E-commerce or Healthcare & build a resume showing expertise in one of the largest sectors in the world.
Apply for suitable data analytics and Data Science profiles through our career support. Your career mentor will help you select and prepare for interviews.
Course DurationMar'18 - Feb'1911 Months
Time Commitment10 hoursper week
Program FeeRs. 2,25,000(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 science.
Associate Dean (Academics)
Chief Strategy Officer
Head of Analytics
Ex - AVP, Decision Sciences
Director - Data Science
PRO Analytics & Strategy Manager - Uber India
Head- Information Management & Engineering
Thanks to the digital revolution that is sweeping the world and India in particular, data scientists are now the most sought-after professionals by big corporations as well as startups. And companies across industries are rewarding good data analysts and scientists with desirable career growth and salaries.
Sr. Data Engineer
Head of Analytics
Data Science Team
Introduction to Data Management
Languages of Data Science
Learn tools and languages used for data analysis - R, Excel, SQL, Python & Tableau.These modules are also part of preparatory course
Introduction to Data Warehousing and OLAP
Equip yourself with the knowledge to extract and pre-process data before analysis
Learn how to prepare data before you analyse them
Case Study- Investments
Implement your learnings to find sectors in which different companies ought to invest
Statistics and EDA
Make your data alive with visuals using R and tools like Tableau
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
Case Study- Uber Supply Demand Gap
Apply Statistics and understand how you can solve the supply-demand gap of Uber cabs
Introduction to Machine Learning I
Learn to implement linear regression and predict continuous data values
Understand and implement algorithms like K-NN*, Naive Bayes and Logistic Regression
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
Machine Learning II
Learn how to make predictions using time dependent/variant data
Tree-based model that is simple and easy to use. Learn the fundamentals on how to implement them
Support Vector Machines
Learn to classify data points using support vectors
Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI!
Association Rule Mining*
Ever wondered why beer is kept next to diaper in superstores? Find out in this module
Introduction to Big Data Analytics
Introduction to Big Data And Hadoop
Understand the basic concepts of Big Data and Hadoop as processing platforms 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
Big Data Analysis
Learn how to analyze Big Data using SparkR, SparkSQL
Learn Customer analytics and Risk Analytics within BFS
Learn customer marketing analytics and recommendations engines
Understand analytics usage in Healthcare improvement and drug discovery
Build your expertise in one of the largest sectors in the world by taking up a 2-month capstone project.
You will receive the download link in your email.