R for Researchers: From Basics to Advanced Analysis

R for Researchers: From Basics to Advanced Analysis, available at $64.99, has an average rating of 4.44, with 23 lectures, 7 quizzes, based on 79 reviews, and has 22001 subscribers.

You will learn about Develop practical skills in data manipulation, importing, and exporting using R. Master descriptive statistics, correlations, ANOVA, and t-tests for research analysis. Create basic, advanced, and animated graphs with R for insightful data visualization. Enhance your creativity in data processing and statistical analysis in scientific research. Gain proficiency in using R for comprehensive research projects and reporting. This course is ideal for individuals who are Researchers and students who are attempting to efficiently use R programming for their scientific research. It is particularly useful for Researchers and students who are attempting to efficiently use R programming for their scientific research.

Enroll now: R for Researchers: From Basics to Advanced Analysis

Summary

Title: R for Researchers: From Basics to Advanced Analysis

Price: $64.99

Average Rating: 4.44

Number of Lectures: 23

Number of Quizzes: 7

Number of Published Lectures: 23

Number of Published Quizzes: 7

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Develop practical skills in data manipulation, importing, and exporting using R.
Master descriptive statistics, correlations, ANOVA, and t-tests for research analysis.
Create basic, advanced, and animated graphs with R for insightful data visualization.
Enhance your creativity in data processing and statistical analysis in scientific research.
Gain proficiency in using R for comprehensive research projects and reporting.

Who Should Attend

Researchers and students who are attempting to efficiently use R programming for their scientific research.

Target Audiences

Researchers and students who are attempting to efficiently use R programming for their scientific research.

Are you ready to elevate your research with the power of R programming? This course is designed to take you from the fundamentals to advanced techniques, all while applying real-world examples from diverse research fields.

With over 12 years of experience in programming and scientific research, I will guide you through essential skills that will transform the way you approach data analysis, statistics, and visualization. You’ll learn how to manipulate, import, and export data, conduct robust statistical analyses including correlations, ANOVA, and t-tests, and create both basic and advanced graphs using R programming.

Throughout the course, you’ll gain hands-on experience with RStudio, mastering everything from data handling to crafting dynamic visualizations. Unlike traditional software like SPSS and Excel, R offers endless possibilities for customization and creativity in your research.

By the end of this course, you’ll be able to:

Process and analyze data creatively using R for research.
Manipulate, import, and export data effectively.
Perform comprehensive statistical analyses, including correlations, ANOVA, and t-tests.
Create basic, advanced, and animated graphs with R.
Utilize RStudio as your go-to tool for scientific research.

Join me, Assist. Prof. Azad Rasul, and unlock the full potential of R in your research journey. Let’s get started!

Course Curriculum

Chapter 1: Getting Started with R Programming

Lecture 1: Introduction to the Course and Installing R

Lecture 2: Setting Up Your Working Directory

Lecture 3: Overview of R Functions

Lecture 4: Managing R Packages

Chapter 2: Data Handling in R

Lecture 1: Understanding Data Types in R

Lecture 2: Importing Data into R

Lecture 3: Preparing and Downloading Annual Weather Data

Lecture 4: Exporting Data from R

Lecture 5: Data Manipulation Techniques

Chapter 3: Statistical Analysis in R

Lecture 1: Performing Descriptive Statistics

Lecture 2: Conducting Correlation Analysis

Lecture 3: Performing ANOVA in R

Lecture 4: Applying Student’s t.test

Lecture 5: Multiple Linear Regression Analysis

Chapter 4: Advanced R Programming for AI

Lecture 1: Introduction to Deep Learning with R (Part 1)

Lecture 2: Introduction to Deep Learning with R (Part 2)

Chapter 5: Data Visualization and Reporting in R

Lecture 1: Creating Basic Plots in R

Lecture 2: Advanced and Animated Graphs

Lecture 3: Wind Rose Plots for Different Time Periods

Lecture 4: Homework: Create a Windrose Plot for Erbil Station

Lecture 5: Generating Research Reports in R

Chapter 6: Course Wrap-Up and Bonus

Lecture 1: Course Summary and Final Thoughts

Lecture 2: Bonus

Instructors

Assist Prof Azad Rasul
Expert in Python and R | GIS and Remote Sensing Scientist.

Rating Distribution

1 stars: 2 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 19 votes
5 stars: 44 votes

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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