One week training on "Essentials of Data Analytics Using R" under Industry 4.0 Training Bootcamp in association with RIT IEEE STUDENT Branch(STB11763) and RIT R&D Cell

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"Essentials of Data Analytics Using R" under Industry 4.0 Training Bootcamp in association with RIT IEEE STUDENT Branch(STB11763) and RIT R&D Cell 


About the training: The training was having aim to provide Hands-on training in R programming language for Data Analytics. By the end of the training, the participants were comfortable with the usage of the R environment, including importing external data, manipulating data for specific needs, and running statistics, visualizations, and important machine learning algorithms for descriptive or predictive analysis.

Training name:  Essentials of Data analytics using R

Dated: April 25, 2022 – April 30, 2022

Target Batch: CS 2nd Yr

No. of sessions per day: 2(9:30 am -1:00 pm) (2:00 pm- 5:00 pm)

Total training hours: 42

What did the training cover?

  • Download and install R and RStudio
  • navigate and optimize the R integrated development environment (IDE) RStudio
  • install and load add-in packages, import external data into R for data processing and statistical analysis
  • learn the main R data structures – vector and data frame
  • compute basic summary statistics
  • produce data visualizations with the ggplot package
  • use of essential machine learning algorithms for descriptive or predictive data analysis

 

Key Points:

  • The delivery of the content was very good and the trainers were excellently co-operative with the students during all the sessions.
  • Quizzes, Assignments, and tasks were effective in making the concepts clearer and more understandable.

 

What is expected next:

  • We wish to participate more in such events where we can learn more and acquire more knowledge about the various fields of computer science.

Certification & Recognition:

  • Participant’s gone through a proctored MCQ exam from IIT Bombay Spoken Tutorial and performed well as earned certificates

Summary:

  • Overall, the training was a successful event where students learned various aspects of Data Analytics, AI & ML using R.

 

 



  Date and Time

  Location

  Hosts

  Registration



  • Start time: 25 Apr 2022 09:30 AM
  • End time: 30 Apr 2022 05:00 PM
  • All times are (UTC+05:30) Chennai
  • Add_To_Calendar_icon Add Event to Calendar
  • 8th Km Dehradun Road Puhana Roorkee
  • Roorkee, Uttaranchal
  • India 247667
  • Building: RIT ROORKEE
  • Click here for Map

  • Contact Event Host
  • Aman Kumar

    Expert Data Science & Analytics

    Asst. Prof., CSE, RIT, Roorkee



  Speakers

Mr. Aman Kumar of Roorkee Institute of technology

Topic:

Data Analytics using R

Training has been delivered which covered the following agenda ....

Objective: This course aims to provide Hands-on training in R programming language for Data Analytics. By the end of the course, the user will be comfortable with the usage of the R environment, including importing external data, manipulating data for specific needs, and running statistics, visualizations, and important machine learning algorithms for descriptive or predictive analysis.

Learning Outcomes: Participants will be able to-

  • download and install R and RStudio
  • navigate and optimize the R integrated development environment (IDE) RStudio
  • install and load add-in packages, import external data into R for data processing and statistical analysis
  • learn the main R data structures – vector and data frame
  • compute basic summary statistics
  • produce data visualisations with the ggplot package
  • use of essential machine learning algorithms for descriptive or predictive data analysis

 

Prerequisite:

  • This course is designed with the beginner in mind. While some participants may have experience in other computer programming languages, basic programming skills are required only.

Certification & Recognition:

  • Participant’s certification can be targeted from IIT Bombay Spoken Tutorial

 The Curriculum:

  1. Major Modules –

Module 1: Introduction to Data Analytics & R Programming: The requirement of time

Module 2: Basics of R Programming

Module 3: Data Import and Manipulation Techniques in R

Module 4: Exploratory Data Analysis and Data Visualization in R

Module 5: Linear Regression & Case Study (Demo Project-1)

Module 6: Logistic Regression & Case Study (Demo Project-2)

 

Biography:

Wipro Certified Faculty in J2EE 

Expert in Data Science & Analytics

Email:

Address:Roorkee Institute of Technology, , Roorkee, 247667





Agenda

Essentials of Data Analytics 

Core R

R for Data Analytics



Industry 4.0 Training Bootcamp in association with RIT IEEE STUDENT Branch(STB11763) and RIT R&D Cell