Big Data and Data Science Master's Course

Our Big Data and Data Science master’s course lets you gain proficiency in Big Data and Data Science. You will work on real-world projects in Apache Hadoop, Apache Sqoop, Apache Flume, Apache HBase, Apache Hive, Apache Pig

Python for Data Science and more. In this program, we will cover 7 Topic’s covered and 56+ industry-based projects.

Big Data and Data Science Master's Key Highlights

Eligibility Criteria

You can join data science after 12th. Students from science background (preferrably engineering / maths / technology) can apply to any data science course at the graduation, certification, or diploma level. You just need to have a minimum of a UG degree in any specialization to become a Data Scientist.
The applicant should have a Bachelor's degree in Science / Engineering / Business Administration / Commerce / Mathematics / Computer Applications or a Masters degree in Mathematics / Statistics / Commerce with 50% or equivalent passing marks.

Course Curriculum

  • What is Big Data?
  • 5 V's of Big Data
  • Challenges of Big Data
  • What is Hadoop?
  • Components of Hadoop
  • Architecture of Hadoop
  • Installation
  • Commands of HDFS
  • Map-Reduce Program
  • What is Sqoop?
  • Working of Sqoop
  • Installation of Sqoop
  • Commands of Sqoop
  • What is Flume?
  • Working of Flume
  • Installation of Flume
  • Twitter Streaming using Flume
  • What is HBase?
  • Advantages of HBase
  • Architecture of HBase
  • Installation of HBase
  • Commands of HBase
  • What is Hive?
  • Components of Hive
  • Architecture of Hive
  • Data Model of Hive
  • Installation of Hive
  • Commands of Hive
  • What is Apache Pig?
  • Components of Pig
  • Architecture of Pig
  • Data Model of Pig
  • Installation of Pig
  • Commands of Pig

Big Data Projects

Project 1

Products rating prediction for Amazon

Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.

Project 2

Demand Forecasting for Walmart

Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.

Project 3

Improving customer experience for Comcast

Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.

Tools Covered

Certification & Faq

Once you successfully complete the Data Science with Python training, provide you with an industry-recognized course completion certificate which will have a lifelong validity

Online Classroom:

  • Attend one complete batch of Data Science with Python training.
  • Submit at least one completed project.

Online Self-Learning:

  • Complete 85% of the course
  • Submit at least one completed project.

BIG DATA ANALYTICS

LIVE INTERACTIVE TRAINING

Live Interactive Training from Industry Experts
Real Time Doubt Solving
Assistance with Practical

RESOURCES

Python Codes
Lecture Recordings
Interview Questions
Practice Examples

PROJECTS

Beginner to Advanced Level Projects
Assistance in Creating Projects
Helps Enhance Your Resume

  • What is Big Data?
  • 5 V's of Big Data
  • Challenges of Big Data
  • What is Hadoop?
  • Components of Hadoop
  • Architecture of Hadoop
  • Installation
  • Commands of HDFS
  • Map-Reduce Program
  • What is Sqoop?
  • Working of Sqoop
  • Installation of Sqoop
  • Commands of Sqoop
  • What is Flume?
  • Working of Flume
  • Installation of Flume
  • Twitter Streaming using Flume
  • What is HBase?
  • Advantages of HBase
  • Architecture of HBase
  • Installation of HBase
  • Commands of HBase
  • What is Hive?
  • Components of Hive
  • Architecture of Hive
  • Data Model of Hive
  • Installation of Hive
  • Commands of Hive
  • What is Apache Pig?
  • Components of Pig
  • Architecture of Pig
  • Data Model of Pig
  • Installation of Pig
  • Commands of Pig