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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.
Course Cost
₹ 2,699
Intermediate
Skill Level
10 Hours
Self-paced lessons
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.
English
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
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
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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