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hands on training in understanding the concepts in data   used programming language among the data scientists

        science and statistical analysis using R programming.    and researchers. Details of lectures delivered by experts
        The R programming language is one of the most widely     during the training programme are as follows:


         Topics                                                 Name of the Experts
         INFLIBNET Activities and Service                       Mr. Yatrik Patel, Scientist D (CS), INFLIBNET Centre
         Introduction to R programming(Installation, getting    Mr. Vijay Shrimali, STA (CS), INFLIBNET Centre
         Started R, Tinn-R, Rcommander, R Studio)
         Data Types in R (Constants, vectors, matrix,           Ms. Mitisha Vaidya, Project Officer (CS), INFLIBNET
         data frames, lists)                                    Centre
         Introduction to R programming (Data Handling in R)     Mr. Divyakant Vaghela, Scientist  B (CS), INFLIBNET
                                                                Centre
         Introduction to R programming(Working with             Mr. Hitesh Solanki, Scientist B (CS), INFLIBNET
         functions, summary measures)                           Centre
         Data Visualization using R : Base, lattice and         Mr. Divyakant Vaghela, Scientist  B (CS), INFLIBNET
         ggplot packages                                        Centre
         Statistical Analysis using R                           Dr. R. D. Chaudhari, Associate Professor
         (Probability Distribution using R)                     M G Science Institute
         Statistical Analysis using R (Hypothesis Testing -I    Mr. Hitesh Solanki, Scientist B (CS), INFLIBNET
         (Parametric))                                          Centre
         Statistical Analysis using R(Simple and Multiple       Dr. R. D. Chaudhari, Associate Professor,
         Regression Analysis)                                   M G Science Institute
         Statistical Analysis using R(Analysis of Variance      Dr. R. D. Chaudhari, Associate Professor,
         (One way and two-way ANOVA))                           M G Science Institute
         Statistical Analysis using R (Hypothesis Testing -II   Dr. Dharmesh Raykundaliya, Assistant Professor,
         (Non Parametric))                                      Sardar Patel University
         Statistical Analysis Using R(Logistic Regression)      Dr. Dharmesh Raykundaliya, Assistant Professor,
         Sardar Patel University
         Reproducible research using Rstudio(knitr and          Dr. R. D. Chaudhari, Associate Professor,
         markdown packages)                                     M G Science Institute
         Reproducible research using Rstudio                    Dr. R. D. Chaudhari, Associate Professor,
         (bookdown packages and blogs, website)                 M G Science Institute
         Statistical Analysis Using R (Time Series Analysis)    Dr. Dharmesh Raykundaliya, Assistant Professor,
                                                                Sardar Patel University
         Statistical Analysis Using R(Factor Analysis)          Dr. Dharmesh Raykundaliya, Assistant Professor,
                                                                Sardar Patel University
         Discussion Forum & Group Presentation                  Dr. R. D. Chaudhari, Associate Professor,
                                                                M G Science Institute



         Mr.  Vijay  Shrimali,  STA  (CS),  Ms.    Mitisha  Vaidya,   training  programme.  The  certificates  of  participation
         Project Officer (CS), Ms. Tulsi Punjani, Project Assistant   were  distributed  at  the  end  of  programme.  37
         (Statistics) and Mr. Divya Vyas, Project Assistant (LS)   participants including IT professionals, LIS professionals

         were  resource  persons  in  practical  sessions  of  the   and research scholars attended the programme.



                                                              8                        Vol. 24, No. 2 (April to June, 2017)
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