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:
Data Pre-processing and organisation
Data Import & Export
Data Structures in R
Data Summarization
Creation of Matrix & Arrays in R
Basic Statistics: Central Tendency, Variability and Dispersion
Data Visualization: Use of appropriate Plots & Graphs
Detection of Outliers
Data Quality Control
Data Interpretation
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:
Prof. D. Dutta Roy
Prof. Subrata Basak
Dr Rama Manna
Dr Aparna Manna
Shri Aditya Chakraborty
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