IIIT Bangalore Analytics Course

HI I would like to have the information as well as the details of the Post Graduate Diploma Certificate in data analytics from IIIT, Bangalore?

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Accelerate the career in data analytics by mastering concepts of Data Management, Statistics, Machine Learning and Big Data from most influential analytics leaders as well as academicians of India.

PG Diploma from IIIT-Bangalore
Upon successful completion of the program, you will be awarded a Post Graduate Diploma Certificate from IIIT-Bangalore.

Learn by Application

Learn from wide-ranging collection of case-studies, hand-picked by industry experts, to give you an in-depth understanding of how data analytics moves industries like telecom, transportation, e-commerce as well as more.


PROJECT 1
Uber Supply Demand Gap

Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.

PROJECT 2
Telecom Churn Prevention

Telecom is an extremely competitive sector and the existing players face the constant challenge of customer churn. Learn how churning customers can be identified in this sector

PROJECT 3
Spark Funds Investment

Spark Funds is looking for new avenues to invest its surplus funds in the startup ecosystem. Help the fund identify the geographies and sector for its investment to maximise the return.

PROJECT 4
Retail Giant Sales Prediction

Help a Retail giant predict the future sales volume of retail goods using time series forecasting so that it can plan the production and logistics better.


PROJECT 5
Creditworthiness of Customers

Learn how predictive analytics can be used to decide the creditworthiness of customers and whether they be issued a credit card or not.

PROJECT 6
E-commerce Market Mix Modelling

E-commerce websites often face the challenge of how much to spend on which marketing channel. Use modelling to help them figure out the optimal spend across channels to drive sales.

Program Vitals

Course Duration
March 2017 - Jan 2018
11 Months

Time Commitment
10-15 hours per week

Program Fee

Rs. 2,00,000(Incl. taxes)
Flexible EMI options


Program Syllabus

7 Courses
11 Months

Introduction to Data Management

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

Data Visualization

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

Statistics and EDA
Descriptive Statistics

Summarize and describe data sets using a measures such as Central tendency and variability

Inferential Statistics

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

Hypothesis Testing

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

Introduction to Predictive Analysis I
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

Linear Regression

Learn to implement linear regression and predict continuous data values

Supervised Classification

Understand and implements algorithms like K-NN, Naïve Bayes, Logistic Regression and Support Vector Machines

Clustering

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

Introduction to Predictive Analysis II
Model Selection

Equip yourself with the knowledge to select the best algorithms for your data

Generalized Regression

What if the data doesn’t follow a straight line? Learn Ridge regression, regularized regression and LASSO

Time Series

Learn how to predict on time dependent/variant data

Decision Trees

Tree based model that is simple and easy to use. Learn the fundamentals on how to implement them

Neural Networks

Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI!

Ensembles

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

Big Data Analytics
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

Domain Electives
BFSI

Learn Customer analytics and Risk Analytics within BFSI

E-Commerce/Retail/CPG

Learn customer marketing analytics and recommendations engines

Telecom

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.

Capstone Project
The 3 month flagship capstone project will reinforce your specialization under the mentorship of an industry professional