Why Choose Big Data Specialization Program?
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Track hottest tech events using meetup data
The Meetup social networking portal generates semi structured data on worldwide events in realtime
Amazon electronic product sales analysis
The Amazon reviews, Comments contains 142.8 million rows of review data of popular products
Movie Recommender System
The dataset consists of 1 million anonymous ratings of approximately 4k movies
The dataset contains around 3K+ rows of data and 15 variables used in prediction
City Bike data exploration
The dataset contains trips data of 5K+ bikes across 600 stations in NYC "
Exclusive Interview preparation guides, Career Support, Placement Opportunity and many more..!
Our world-class faculty are experienced working professionals working in senior positions of top-tier companies
What are you going to learn ?
Module 1: Introduction to Big Data
Module 2: Python Essentials - I
Module 3: Python Essentials - II
Module 4: Introduction to Hadoop
Module 5: Hadoop Architecture & Ecosystem
Module 6: Hadoop Distributed File System(HDFS)
Module 7: Introduction to Map Reduce
Module 8: MapReduce Programming with Python
Module 9: Apache Pig
Module 10: Apache Pig Hands - on
Module 11: Apache Hive
Module 12: Apache Hive Hands - on
Module 13: Integration of Hive and Pig using HCatalog
Module 1: Programming with Scala-I
Module 2: Programming with Scala-II
Module 3: Introduction to Apache Spark architecture
Module 4: Spark programming concepts
Module 05: Spark Core programming
Module 06: Introduction to Spark SQL
Module 07: Spark SQL hands-on
Module 08: Introduction to Apache kafka
Module 09: Introduction to Spark Streaming
Module 10: Spark Streaming hands-on
Module 11: Integration of kafka with spark
Module 12: Machine Learning with Spark MLlib
Module 13: Live Practice session
All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.
All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.
Yes, the recordings of the trial classes are uploaded.
In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.
You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.
We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Tech Mahindra is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.
We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.