Analytics in R

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Program Fees: SGD 2500

Program Dates: February 2020 (6 days, 9 am - 5:30 pm daily). For Registration of interest, further details & intimations, fill in the form at the end of this page.

Program Venue: Singapore, CBD

To refer to Program Fees for Kuala Lumpur, Malaysia & Jakarta, Indonesia and also for special packages available for all those registering for 2 or 3 programs in Singapore, Kuala Lumpur or Jakarta, click this link to view the details. Once you indicate the programs of interest to you, we will let you know the schedules in your preferred location.

Program Overview

R and Python are the two most popular programming languages used by data analysts and data scientists. Both are free and open source, and were developed in the early 1990s—R for statistical analysis and Python as a general-purpose programming language. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. R allows integration with the procedures written in the C, C++, .Net, Python or FORTRAN languages for efficiency. R has an effective data handling & storage facility. 

As technology improves, the data companies or research institutions collect has become more and more complex, and R has been adopted by many as the language of choice to analyze data. R is great for machine learning, data visualization and analysis, and some areas of scientific computing.
R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac.

Key Takeaways for Participants:
  1. Grounding / Refresher in Statistics / Mathematics necessary in Analytics Applications, particularly for Predictive, Prescriptive & Big Data Analytics applications.
  2. Learning well one of the most popular programming languages currently. Professionals knowing R well are in high demand in the job market and command premium compensation packages compared to many programmers skilled in other languages.
  3. Knowledgeable & skilled enough to be hired or deployed as a R Programmer by organizations and institutions engaged in developing Analytics, Data Visualization or Machine Learning applications.
 Faculty: Dr. Sudipta Das
Dr. Sudipta Das graduated in Electrical Engineering and has subsequently done his Ph.D. in the same discipline, after doing his post-graduation in Control Systems.

He has several years of industry experience and is currently an Asst. Professor in the Department of Data Science for a private University, where, among various subjects, he has also been involved in teaching Python & ‘R’.

He has a number of published papers in the domains mentioned to his credit and is a visiting scientist at the Indian Statistical Institute (ISI), involved in the areas of Statistical Quality Control & Operations Research. His research interests include Data Analytics, Stochastic Systems and Real-time systems.