The Magic of R Analytics using RStudio

The Magic of R Analytics using RStudio

WORKSHOP DETAILS

Duration: 4 weeks (Monday, Wednesday & Friday)
Date:
Starting from May 12, 2025
Time: 7 pm to 9 pm

WHAT YOU’LL LEARN FROM THIS WORKSHOP

  • Confidently navigate the RStudio interface, including console, script editor, environment, and plots pane
  • Import and export datasets (CSV, Excel, SPSS, etc.) directly through RStudio
  • Conduct descriptive statistics and statistical tests (e.g., T-tests, ANOVA) within RStudio
  • Use RStudio to detect outliers, test for normality, and create subsets of data
  • Generate a wide variety of data visualizations (bar plots, pie charts, boxplots, advanced charts) using R code in RStudio
  • Build and interpret correlation and regression models using RStudio’s tools
  • Explore text mining and analysis, visualizing textual patterns directly within RStudio
  • Create animated, dynamic visualizations using RStudio’s support for advanced plotting libraries
  • Get started with time series analysis using RStudio’s script-based workflow
  • Discover creative R programming techniques (“the magic”) to boost your productivity in RStudio

KEY TOPICS COVERED

  • Session 1:
    Introduction to R software and RStudio, do and dont’s of R Analytics

    • Case study 1: Using R as Calculator, Import and Export dierent types of Datasets in RStudio
  • Session 2:
    Concept of R Packages, Installation of Packages, Usage of Packages, Functions available in Packages
    • Case study 2: Data management in RStudio
  • Session 3:
    Data Analysis in RStudio: Descriptive analysis, Test of Normality, Outlier testing, T- Test, Subset creation, One Way Anova Test
  • Session 4:
    Data Visualization using R, Bar Graphs, Pie Charts, Line charts, Distribution Charts, Box Plot Charts, Advance Charts
  • Session 5:
    Correlation and Regression Analysis using R
  • Session 6:
    Text Mining and Analysis using R
  • Session 7:
    Dynamic Animated Data Visualization in R
  • Session 8:
    Basic Time Series Analysis Using R
  • Session 9:
    Magic of R programming
  • Session 10:
    Secret professional tips for Using R for consulting and making money

WHO SHOULD ATTEND?

  • Researchers and Academicians
  • PhD Students in any discipline
  • Data Scientists & Policy Makers
  • Librarians and Information Specialists

RESOURCE PERSON

Dr. Ajay Kumar Chauhan (M.Sc. Mathematics, MBA Finance, UGC NET, Ph.D. Finance) is the founder of 6thQResearchH LLP (Research-Shiksha) and currently serves as Professor of Practice in Analytics at BIM Trichy. With over a decade of teaching experience at institutions like IMT Ghaziabad, LBSIM, and Apeejay, Dr. Chauhan has conducted more than 1000 training workshops nationally and internationally on topics such as Structural Equation Modelling, Financial Econometrics, Machine Learning, and Business Research Methods. He has published 25 research papers in ABDC A & B category journals, authored three books, and completed an advanced course in Econometrics from Switzerland. A renowned trainer, he has collaborated with prestigious organizations including IIMs, NTPC, Coca-Cola, and NITs, and has also taught internationally in Bulgaria.

WORKSHOP HIGHLIGHTS

Exclusive Resources

  • Lifetime access to session videos.
  • Pre-shared PPTs, datasets, and e-Books

Certification

  • Receive an e-Certificate upon completion

REGISTRATION PROCESS

  • Pay Rs.1199/-

Note:

  • Please share your transaction details with us on the whatsapp number 9811216905, and we will add you to the workshop group without delay.

For further enquiry, contact,
Dr. Ajay Kumar Chauhan
98112 16905 | ajay@bim.edu
Mr. Ganesh, 98945 24333 | ganesan.v@bim.edu

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