• Application oriented approach
  • Reskilling of a large pool of professionals in data analytics
  • In-depth and advanced study in data analytics for Scientists
  • Niche and advanced data analytics courses customized to Corporate needs

An applied course in data science using R / Python

Duration: 40 hours

Course description:

The course will provide an in-depth study of how to articulate meaningful data science problems. Important and commonly used data analytic and machine learning algorithms will be described in detail.

Laboratory sessions using R will be conducted as part of each module with the end result being that the participants will be able to apply these algorithms on any data.

A capstone case study tailored to the participants’ field of interest will be solved at the end of the course.

Outcome:

Participants will be able to work on analytical solution in their organization

An advanced course in data science using R / Python

Duration: 40 hours

Course description:

This course is designed for corporates and it provides an in-depth study of application oriented data analytics. By the end of the course, participants will be able to derive meaningful information from their business data.

R / Python, an open source tool for data analytics will be introduced in depth. Important and commonly used data analytic and machine learning algorithms will be described in detail. Corresponding to each machine learning algorithm taught, there will be an application oriented example.

A capstone case study tailored to the participants’ field of interest will be solved at the end of the course.

Outcome:

Participants will be able to work on analytical solution in their organization

Data Science for Executives course

Objectives:
  • Introduce key data science concepts
  • Describe basic activities in a data science project
  • Describe value that can be created through data science in an organization through case studies
  • Describe strategies to develop a data science center of excellence in the organization
  • Outline future prospectus

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