We offer workshops, applied and advanced courses for experienced individuals who are keen in transitioning or advancing their knowledge in data science. The courses have been designed based on feedback from corporates on industry needs. These courses offer an advanced theoretical as well as practical knowledge.

Workshop in Data Analytics using R

Duration: 16 hours

Objectives:
  • To introduce participants to the fundamentals of data analytics using R
  • A case study methodology is adopted to reinforce basics and teach first-level data science algorithms.
Learning outcomes:
  • Use the R
  • Perform exploratory data analysis
  • Visualize data
  • Develop an appreciation for basic machine learning algorithms

Workshop on Predictive Analytics Using Python

Duration: 16 hours

Objectives:
  • To introduce participants to the fundamentals of data analytics using Python.
  • A case study methodology is adopted to reinforce basics and teach first-level data science algorithms.
Learning outcomes:
  • Use Python – Spyder tool
  • Perform all basic operations in the dataset using the libraries
  • Visualize data
  • Perform exploratory data analysis
  • Use Python for predictive analytics
  • Execute two machine learning algorithms

An applied course in data science using R / Python

Duration: 40 hours

  • Experienced individuals who aim for a transition into the data science industry
  • Understanding of high-school mathematics, communication skills, team work and presentation skills

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.

An advanced course in data science using R / Python

Duration: 40 hours

  • Experienced individuals who are interested in an in-depth theoretical study about the various machine learning methods in the data science field.
  • Basic knowledge of statistics and mathematics.

The course will provide a detailed study of how to articulate meaningful data science problems using extensive machine learning algorithms in real life commercial situations. R / Python, an open source tool for data analytics will be taught in depth.