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Statistical Methods: Learn Data Analysis & R

Master statistical analysis and R programming with hands-on practice. Learn data visualization and exploratory data analysis in this intermediate course.

Master statistical analysis and R programming with hands-on practice. Learn data visualization and exploratory data analysis in this intermediate course.

This comprehensive course from the University of Leeds introduces students to the fundamentals of statistical methods and data analysis. Through a practical approach, learners explore statistical modeling, data visualization, and probability concepts using R and RStudio. The course combines theoretical understanding with hands-on practice, covering topics from basic data analysis to computer simulations of probability experiments. Students learn to create graphical and numerical summaries, understand statistical inference, and develop intuitive concepts of probability through practical experiments.

Instructors:

English

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Statistical Methods: Learn Data Analysis & R

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understanding statistical models and their role in data analysis

  • Master R software for creating numerical and graphical summaries

  • Perform and analyze probability experiments using computer simulations

  • Develop statistical intuition and good practice skills

  • Create and interpret data visualizations using RStudio

  • Evaluate data collection methods and understand bias

Skills you'll gain

statistical analysis
R programming
data visualization
probability modeling
computer simulation
exploratory data analysis
RStudio
data inference
statistical models
binomial trials

This course includes:

20 Minutes PreRecorded video

3 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 3 modules in this course

This course provides a practical introduction to statistical methods and data analysis using R software. Students begin by understanding the fundamentals of statistical modeling and data interpretation, learning to distinguish between data and information. The curriculum progresses through exploratory data analysis, teaching students to create and interpret graphical and numerical summaries using RStudio. The course concludes with hands-on probability experiments and computer simulations, giving students practical experience in statistical concepts and data analysis techniques.

The Role of Statistical Models in Data Analysis

Module 1 · 4 Hours to complete

The Basics of Exploratory Data Analysis

Module 2 · 4 Hours to complete

Explore and Reflect: Random Experiments and Computer Simulations

Module 3 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Dr Leonid Bogachev
Dr Leonid Bogachev

279 Students

2 Courses

Reader in Probability and Statistical Physics at Leeds University

Dr. Leonid Bogachev is a Reader at the University of Leeds, specializing in probability, statistical physics, and statistics. Located in the Mathematics department,. His research interests encompass various areas within statistics and probability, contributing to several research groups, including Statistics and Probability and Financial Mathematics. Dr. Bogachev oversees a team of postgraduate researchers, including Jean Charles Peyen, Ruheyan Nuermaimaiti, Mingrui Zhang, and Puchong Paophan. He welcomes inquiries from motivated and qualified candidates interested in pursuing PhD opportunities, offering various research projects and scholarships within his field.

Statistical Methods: Learn Data Analysis & R

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.