Data Science

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Data Science


About this course

This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help students to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making. They will also learn how to use and apply selected data analytics software. This course will benefit students who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. During the course, students will work on small projects in the area of data mining and data visualization and gain hands on experience. This course is designed for professionals who want to enter the domain of Big Data and Analytics.

Course Schedule

Objectives of the course

Understand the basics of analytics, its applications and career paths
Develop an analytical thought process.
Learn essential statistics required for analytics.
Gain hands-on-experience on various data science techniques .
Learn data exploration, visualisation and statistical concepts of ‘R’ language.
Understand SQL database concepts .
Gain knowledge on trends and applications in various business domains.
Solve real world cases using analytical techniques.

Who can take this course

Anyone with interest in Data Science and are looking forward to pursue a career in the field can take up the course

Pre-requisites for the course

A basic knowledge in statistics is a must to go ahead with this data science course

Evaluation criteria

Course participants will be given assignments at the end of each week. Along with this, they will be handed over a capstone project at the end of the course. Their performance in these evaluations acts as a criteria to decide how well they are doing in the course


Who should enroll to course

This course is meant for people looking to learn Big Data. We will start out to understand the pre-requisites, and then go on to solve case studies.

When will the classes be held in this course?

There are 2 ways Self Paced and Online classes. Online classes would be held Saturday and Sundays. .

How many weeks should i practice to complete the course?

If you can put between 6 to 8 hours a week, you should be able to finish the course in 6 to 8 weeks..

What is the refund policy?

The fee for this course is non-refundable..