Introduction to Statistics with R
Learn data analysis with statistics and programming! Master essential skills for data science, research, and beyond. Practical techniques for real-world problems.
Course Content
Introduction to Statistics with R is a beginner-level Udemy course taught by Darrin Thomas. It runs 6h 48m, is taught in English, and includes a certificate of completion. Learners rate it 4.1 out of 5 from 49 reviews, with 177 students enrolled. It is a paid course, last updated August 2021.
Learn the fundamentals of statistics and gain practical skills in R programming with this introductory course! Perfect for students and anyone seeking an introduction to statistical analysis.
This course provides a solid foundation in core statistical concepts, exploring them through hands-on application in R Studio. You'll discover how to use R, a powerful and widely-used programming language, to perform essential data analysis.
Here's what you'll explore:
- Fundamental Statistical Ideas: We cover key principles of statistics, building a strong understanding of the subject.
- R Programming Basics: Learn the basics of R syntax and how to use it for data manipulation and analysis.
- Data Analysis in R Studio: Gain practical experience performing data analysis using the popular R Studio environment.
- Statistical Concepts Explained: Understand concepts like descriptive statistics, probability, hypothesis testing, and more, all within the R framework.
This course is ideal if you're new to statistics or looking to enhance your data analysis capabilities with R. Develop valuable skills applicable to a wide range of fields!
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