
In Association with



Accelerate your career in data science by starting from basics in Statistics, Data Management and Analytics to advanced topics like Neural Networks, Machine Learning and Big Data
* Admissions open for Mar 2019.
* Prep sessions begin from 20th December 2018.
Upon finishing courses completely, you will be certified by IIIT-B for successful completion of the Post Graduate Program. Become a part of the Data Science community with the PG Alumni status from IIIT-Bangalore.



Program Fee
Course Duration
Mar'19 - Feb'20 11 monthsWe recommend
10-15 hours per weekThis program has been designed in collaboration with some of the most influential analytics leader and top academician in data science.















Introduction to Data Management
Learn tools and languages used for data analysis - Excel, SQL, Python & Tableau. These tools will be used throughout the program. You will get content access to learn them even before the course officially begins!
Data that you extract is usually not suitable for analysis right away. You need to clean, polish and prepare it before you start using it.
Let's get our hands dirty! Your first Data science Project. Find sectors in which your company should invest based on given parameters.
Statistics and EDA
Data Visualization
Make your data alive with visuals using R and tools like Tableau
Statistics
Build a solid statistical foundation. This will help you understand data and the results of your analysis.
Exploratory Data Analysis
Derive initial insights from the data using Excel. Learn from the best - S. Anand, CEO of Gramener.com
Hypothesis Testing
Understand how to formulate & test hypotheses to solve various business problems
Case Study- Uber Supply Demand Gap
Uber needs your help! Apply the statistical concepts to solve Uber's problem and present your results using engaging Visuals.
Introduction to Machine Learning I
Linear Regression
Learn to implement linear regression. Help a digital media company understand why their viewership is falling and propose recommendations to increase viewership.
Logistic Regression
Use Logistic regression to solve a Case Study to predict employee attrition in a firm and help them plan their manpower.
Clustering
Learn how to create segments based on similarities using K-Means and Hierarchical clustering. Use this to create customer segments that can be targeted using different marketing strategies.
Principle component analysis
Learn how to reduce the dimensions of data to make it useful for analysis. Use it to understand how movie recommendations work.
Machine Learning II
Learn about advanced regression methods such as Lasso and Ridge and how to benchmark and select the best algorithm for a given dataset and problem statement.
Learn how to make predictions using time-dependent data. Use it forecast energy consumption, stock prices and sales.
Use Support Vectors to build an algorithm that can identify hand-written alphabets.
Learn how to make predictions using time-dependent data. Use it forecast energy consumption, stock prices and sales.
Help a telecom giant predict if a customer will churn or not. Apply multiple algorithms simultaneously to identify the one that works the best.
Introduction to Big Data Analytics
Hadoop
Hadoop is a distributed computing framework. Learn how to analyze data with millions of rows quickly using distribute frameworks.
Hive and Sqoop
Apache Hive is the query language for Big Data applications. Learn it from the inventor of the language himself- Joydeep Sen Sarma. (Hyperlink- https://yourstory.com/2017/08/techie-tuesdays-joydeep-sen-sarma-qubole-hive-facebook/)
Spark
Apache Spark is lightning fast data processing engine. Use it to analyze millions of Amazon reviews and gain insights from them.
Hive - Case study
Learn about big data architecture like Hadoop, Hive & Scoop and help New York City Taxi & Limousine Commission (TLC) to analyse trip data
Spark - Case study
Learn about big data analytics using Spark and help New York Police department to visualise vehicle parking data
Domain Electives**
BFS
Learn Customer analytics and Risk Analytics within BFS
E-Commerce
Learn customer marketing analytics and recommendations engines
Health Care
Understand analytics usage in Healthcare improvement and drug discovery
You will receive the download link in your email.
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