Earn Industry Recognized PG Certificate from BITS Pilani

Program Fee: ₹ 1,00,000 + GST

from

Big Data & Analytics

PG Certification Program in

  • Certification from BITS
  • Rigorous Curriculum
  • 1:1 Student Mentorship
  • 80+ hrs of Industry projects
  • Tools : AWS, Hadoop, Hive etc
  • Industry Experts Guidance

Duration:  7 months 

Enrol before 28th February 2019 and get 2 modules on Blockchain Technology Free 

Why Big Data & Analytics ? 

83% enterprises have pursued Big Data projects to seize a competitive edge.

Big Data is everywhere 

1.4 million job openings in Big Data and AI

Accelerate your career growth

The Big Data Market is estimated to reach  $66.7 Billion by 2021

Growing industry demand

Why BITS Pilani in association

with upGrad 

Learn

the most cutting edge advanced curriculum in Big Data designed by the best of academia and industry experts.

Apply

your learning on over real time live projects and case studies in Big Data & Analytics and gain in depth expertise.

Experience

University like education with live lectures and cutting edge real-time projects in collaboration with industry experts.

Master

your analytic skills with advanced specialisations in Big Data and get ahead of the booming industry curve.

Learn from the best of Academia & Industry

Each course in this program is taught by top academicians from BITS and leading industry experts in Big Data from companies such as Google, Uber, Accenture, Impetus, LatentView, JP Morgan, Slassy etc

PROF. S BALASUBRAMANIAM

Dean - Academics

PROF. AMIT DUA

Asst Professor, Computer Science

Dr. Hari Babu

Asst Professor, Computer Science

Pallavi Nagesha Rao

Staff Software Engineer

UBER

PROF. VIMAL SP

Asst Professor, Computer Science

DR. CHITTARANJAN HOTA

Asst Dean, Computer Science

SHAKUN GUPTA

Sr. Big Data Engineer

SHANKAR RADHAKRISHNAN

Director - Big Data Engineering

KARTHIKEYAN SANKARAN

Director - Data Science & ML

SOURABH MUKHERJEE

VP - Data Management

PARWAZ DALVI

Lead Architect

JOY MUKHERJEE

Engineering Manager

Project 3:

Create user cohorts for Music 

Recommendation Engine 



Help Saavn build a recommendation engine that processes millions of data points to generate customized notifications to keep users engaged!


Project 1:

Build a playlist of top songs & artists

Help Saavn build a Big Data solution to identify top ranking songs, artists and playlists!


Get hands-on experience with the best industry projects

Project 2:

Build a robust Data Pipeline for Analytics


Designing a scalable fault tolerant data infrastructure and scheduling an automated workflow, capable of serving multiple big data applications

Program Details

Pre- Program Preparatory Content

  • Introduction to Big Data
  • Object Oriented Programming (OOP) using JAVA
  • Data Structures
  • Design and Analysis of Algorithms
  • Relational Database Management Systems (SQL)


If you don’t have previous experience in programming or databases (SQL), don't worry! This course will augment your skills in fundamental Computer Science concepts and introduce you to Big Data and its common industry applications


The Hadoop Framework

  • AWS Familiarization
  • Introduction to Hadoop
  • HDFS - Hadoop Distributed File system
  • Map Reduce Programming
  • Pig

You will be exposed to the Hadoop Framework and tools in its environment used for processing Big Data. You will also learn how to set up a virtual machine for processing Big Data on your own computer as well as on the cloud.


ETL & Batch Processing with Hadoop


  • ETL & Data Warehousing
  • Ingesting data into Big Data Platforms using Apache Sqoop & Flume
  • Big Data Analytics using Apache Hive
  • NoSQL databases for Big Data Storage Applications (HBase)
  • Workflow management for Hadoop using Oozie


You will learn about data ingestion using Sqoop and Flume and then further analyze it using Hive. Use the Oozie workflow manager tools to learn automation of complex jobs.

Big Data Analytics


  • Introduction to Spark
  • Analytics using SparkSQL
  • Data preprocessing for ML
  • Regression, Clustering & Classification using Spark MLLib

    You will then learn about the machine learning libraries in Apache Spark used to perform Regression, Classification, Clustering on Big Data.



7 Months | Online Program

Capstone Project


Capstone Project - Apply lessons learnt in the program in an industry relevant project by ingesting, processing and analyzing data on a big data platform in cloud.



Programming Languages & Tools

upGrad Learning Experience

Learn on the Go 

Experience immersive learning with 200 hours of dedicated lectures, from anywhere anytime.

Dedicated Student Support

Our team of in-house student advisers assist the students on all fronts - we make sure you excel.

The best of Industry and Academia

Designed in collaboration with leading industry experts and academia to create experts in Machine Learning.

Active Student Mentorship

Get unparalleled guidance with 1-on-1 mentoring from industry experts and academia.

Our Industry Partners

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