Data Analysis in R Studio for Research Scholars- Basic

Data Analysis in R Studio for Research Scholars- Basic, available at Free, has an average rating of 5, with 5 lectures, based on 1 reviews, and has 708 subscribers.

You will learn about Should be able to run basic commands in R Studio Implement Linear Regression, T Test, Chi Square, ANOVA on the primary data collected through questionnaire All steps explained, which are required from reading data from questionnaire responses to hypotheses testing Research Scholars will understand, which tests should be conducted in which scenarios This course is ideal for individuals who are Data Scientist Aspirants, Researchers It is particularly useful for Data Scientist Aspirants, Researchers.

Enroll now: Data Analysis in R Studio for Research Scholars- Basic

Summary

Title: Data Analysis in R Studio for Research Scholars- Basic

Price: Free

Average Rating: 5

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Should be able to run basic commands in R Studio
Implement Linear Regression, T Test, Chi Square, ANOVA on the primary data collected through questionnaire
All steps explained, which are required from reading data from questionnaire responses to hypotheses testing
Research Scholars will understand, which tests should be conducted in which scenarios

Who Should Attend

Data Scientist Aspirants, Researchers

Target Audiences

Data Scientist Aspirants, Researchers

Embark on a transformative journey into the world of data science with this comprehensive course on R programming. R Studio is a powerful statistical tool for computing and graphics. Whether you’re a novice or seasoned professional, this course offers a structured learning path to help you unlock the potential of R Studio for your research based projects.

Through engaging lectures, hands-on exercises, and real-world examples, you’ll gain practical skills enabling you to execute T Test, ANOVA, Chi Square and Linear Regression/ Correlation in R Studio

These are major Research Methods used by Research Scholars in their research work, whether in research papers or thesis report.

This would cover all steps taken to test Research Hypotheses created for a research work, from the stage, where primary data is available in .CSV file to verifying the result of Hypotheses Testing. Research Scholar may take this course and utilize the learnings in creating their Thesis Report. Every lecture is designed in such a way that these can be taken up individually, without being concerned about the sequence of videos. The scripts used in R Studio will also be made available along with videos.

Join this course to make your journey of research, easy and take your Research Methodology skills to new heights.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Predictive Modelling with Linear Regression

Lecture 1: Introduction to R Studio, Correlation & Regression

Chapter 3: Hypothesis Testing with T-Tests and ANOVA

Lecture 1: T Test implementation in R Studio

Lecture 2: ANOVA Implementation in R Studio

Chapter 4: Statistical Inference with Chi-Square Tests

Lecture 1: Chi Square Test implementation in R

Instructors

Dr Kapil Jaiswal
Expert Guide on Data Analysis in R for Research Scholars

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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