Data Analysis with R (May to June)

Course Title – Data Analysis with R (May to June)

Learning Objectives:

  • Participants will learn how to pre-process the data so as to analyse it effectively.

  • Participants will analyse the Quality of Data and learn how to control it.

  • Through this course, participants will develop their Data-analysis skills to work effectively in R-studio.

  • This program will also enable participants to describe the nature of the data using basic statistical analysis - Central Tendency, Variability and Dispersion in R.

  • Participants will learn how to Visualize the results using the appropriate Plots and Graphs.

  • This course will empower participants to perform analysis of his/her own data and interpret the results. 

  • This program also guides participants to write a Project Report. 

  • At the end of the course, participants will learn how to present the results of the project.


Eligibility :Graduates or Post Graduates from any recognized University


COURSE CONTENTS:

  1. Data Pre-processing and organisation

  2. Data Import & Export

  3. Data Structures in R

  4. Data Summarization

  5. Creation of Matrix & Arrays in R

  6. Basic Statistics: Central Tendency, Variability and Dispersion

  7. Data Visualization: Use of appropriate Plots & Graphs 

  8. Detection of Outliers

  9. Data Quality Control

  10. Data Interpretation 

  11. Presentation of Project Report

        COURSE FEE: One-time Non Refundable  Rs.2500.

        APPLICATION:

         Send your application and resume to the email-id: adityachakraborty432@gmail.com           mentioning the course name.

Mode of this course: Online

Timing: Monday, Wednesday & Friday, 5-7pm.Each lecture will be around 2hours.

Material: Study materials will be provided online. Details to be updated after registration. 

Selection test – 12.05.2020

Syllabus – Research Methodology (25marks)

  • Central tendency

  • Variability

  • Measurement Scales

  • Correlation

13.05.2020 -  Logical Reasoning & Comprehension Aptitude (25marks)

  • Logical Reasoning

  • Communication

  • Data Interpretation

  • Technology in Education

14.05.2020 – Participants Selection

15.05.2020 – Commencement of the Course

IMPORTANT DATES: 

Online Application: Started

Last Date of Application: 11th May,2020

Selection Tests: 12th & 13th May,2020 (Online)

Confirmation Letter: 14th May

Class Starts: 15th May

Teaching Pedagogy: Lecture, Demonstration and activities.

Certification: Competence based e-certificates will be provided on the basis of 75% attendance , class performance and evaluation of assignments.

Contact: Aditya Chakraborty (Academic Assistant), 8902079821

Class Schedule

Dates

Topic

Chapters

15-05-2020

Introduction to Data, Types, Need for Data Analysis.


18-05-2020

Introduction to R

3,4

22-05-2020

Data Import & Export

5,6,7,8,18

25-05-2020

Logical Operaters

9,10,11

29-05-2020

Data structures in R & Summarization 

13,14,28 & other commands for summarization.

1-06-2020

Matrix, Missing data, Outlier detection


5-06-2020

Basic Statistics, Data Quality Control.


8-06-2020

Data Visualization & Interpretation

16, 24

12-06-2020

Test & Assignment/Project Report Presentation







Possible Resource Persons:

  1. Prof. D. Dutta Roy

  2. Prof. Subrata Basak

  3. Dr Rama Manna

  4. Dr Aparna Manna

  5. Shri Aditya Chakraborty

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