Advanced R Programming
Design cost-effective solutions to real-world business problems through advanced analytics using R

4 Weeks programme

Contact hours: 20 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
For Enrollment
Programme Objectives
One of the major strengths in R, the most popular open-source Statistical Analysis or Business Analytics software, lies in its capability of defining customer defined functions, efficient data summarizations and various advanced data visualizations including Web enabled interactive dashboard preparation. These features have helped R not only to gain its popularity, but also made it more implementable in industries wherever complicated data need to be processed or various kinds of complex data visualizations are required.

The “Advanced R Programmer” programme builds on the “Essentials of R Programming” programme, and equips participants with advanced skills in the R programming environment. The programme trains participants in advanced R programming concepts, including advanced data management, advanced data visualization, Interactive Web application using Shiny package in R, etc. The programme also imparts strong knowledge in developing dashboard using R.
Who should go for the Programme?
The “Advanced R Programming” programme has been designed and developed to cater to those individuals who want to extend their R skills beyond the “Essentials of R Programming” programme. In other words, this programme is primarily meant for academicians as well as analytics industry professionals, who have already significant exposure to R environment or undergone any basic course on R Programming and hence, have the requisite fundamental knowledge in R programming like data management, basic visualizations, data summarization, etc.

The programme offers the opportunity to the participants, to enhance or upskill their concepts in advanced R features that will help them carry out complex quantitative analysis in the rapidly-growing Analytics world.

Also IT professional, where usage of R programming is becoming a need of the day for carrying out analysis while using or retrieving data from Oracle, SAP, Tableau, etc. platforms, would also benefit from the programme.

Key Takeaways

  • Acquire knowledge of advanced programming concepts in the R Programming
  • Articulate the advanced capabilities of R for data management like removing duplicates, summarization though SQL statements, sampling & re-sampling data
  • Create different important advanced and interactive visualization of data
  • Creating an interactive dashboard through web applications using R

Learning Mode

Are there any Learning Pre-requisites?

The “Advanced R Programming” programme is essentially beyond the basic programming through R. It is desirable that participants possess adequate knowledge in fundamental R programming.

Accordingly, it is advisable that participants have successfully completed the “Essentials of R Programming” programme from insAnalytics (or an equivalent training programme).

Enrollment

Advanced R Programming

MEET Our Consultants & Faculty

Dr. Goutam Das

Dr. Goutam Das

30+ years of industry experience across multiple sectors including Finance, Energy, Telecom, Retail, Media, Manufacturing & Automobiles.

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Prof (Dr.) B B Chakraborty

Prof (Dr.) B B Chakraborty

40+ years of experience in Industry and Academics, serving as consultant to major global organizations and Professor at leading IIMs.

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Dr. Nidhan Choudhuri

Dr. Nidhan Choudhuri

25+ years of global experience in Financial Modeling, Risk Analysis, and Quantitative Trading, with roles at Barclays and Morgan Stanley.

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Dr. Ayan Chatterjee

Dr. Ayan Chatterjee

8+ years of R&D experience in AI, Machine Learning, and Medical Image Processing with NVIDIA and AstraZeneca.

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Mr. Jayanta Adhikari

Mr. Jayanta Adhikari

30+ years of experience in BFSI and Retail sectors, specializing in Financial Analytics and Digital Transformation.

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Ms. Amrita Saha

Ms. Amrita Saha

15 years of experience in AI, GenAI, Big Data Analytics, and Econometrics across BFSI and Energy sectors.

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