Programme Curriculum

60 hours (6 weeks)


₹ 4,000/-

Learning Outcome

After completion of this course, participants are expected to be able to:

  1. Identify Big Data and its Implications.
  2. List the components of Hadoop and Hadoop Eco-System.
  3. Access and querying big data with Hive.
  4. Apply Machine Learning Techniques for Big Data Analytics.

Target Learners

Most certificate courses require applicants to have a minimum educational qualification, such as a high school diploma or an undergraduate degree. Some courses may also specify a preferred field of study or academic background.

Course Overview

The main objective of this micro course is to help you learn the fundamental concepts and technologies related to Big Data Analytics, including Big Data Introduction, Hadoop Ecosystem I & II, Querying Big Data with Hive, and Big Data & Machine Learning. You will be able to understand such concepts and more with the assistance of this micro course.

Big Data Analytics

      • Big data: definition and taxonomy
      • Big data value for the enterprise
      • Setting up the demo environment
      • First steps with the Hadoop “ecosystem”

      • Introduction to Hadoop
      • Hadoop components:
        o MapReduce
        o Pig
        o Hive
        o HBase

      • Loading data into Hadoop
      • Handling files in Hadoop
      • Getting data from Hadoop

      • Introduction to the SQL Language
      • From SQL to HiveQL
      • Introduction to HIVE e HIVEQL
      • Using Hive to query Hadoop files

      • Quick into Machine learning
      • Big Data & Machine Learning
      • Machine learning tools
        o Spark & SparkML
        o H2O
        o Azure ML

      • Big Data & Machine Learning (continued)
      • Next steps in the big data world

Learners will learn from articles, case studies, PPTs, eLearning material, videos, practical activities, assignments, webinars, live sessions, and discussions with fellow learners and mentors.

Certificate of Completion will be awarded to those who attend a minimum of 2 live sessions and obtain a minimum score of 50% in all quizzes.