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Data Science and Analytics
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Statistical Analysis with R Programming
University of Technology and Entrepreneurship, Phnom Penh
0 / 30 enrolled
About this programme
Course outline.
The Statistical Analysis with R Programming course is designed to equip learners with strong statistical analysis skills using the R programming language. Participants will learn how to perform data analysis, apply statistical methods, and interpret results effectively. The course combines statistical theory with hands-on R programming, making it ideal for students, researchers, and professionals who work with data-driven decision-making.
What you'll get
Programme highlights.
Industry-led teaching
Live materials from practitioners working in the field today.
Hands-on exercises
You'll apply what you learn through structured workshops and case studies.
Mentor access
Personal contact with the instructor for questions and feedback.
UTE Certificate
A signed certificate of completion you can add to your CV.
Course outline
What we'll cover.
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01
Introduction to Statistics and R Programming
- • Overview of Statistics and Its Applications • Introduction to R and RStudio • Basic R Syntax and Data Types
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02
Data Handling and Manipulation in R
- • Vectors
- Matrices
- Data Frames
- and Lists • Importing and Exporting Data • Data Cleaning and Preparation
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03
Descriptive Statistics
- • Measures of Central Tendency • Measures of Dispersion • Data Summarization Techniques
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04
Data Visualization in R
- • Introduction to Data Visualization • Creating Charts with Base R • Advanced Visualization Using ggplot2
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05
Probability and Distributions
- • Basic Probability Concepts • Common Probability Distributions • Sampling Techniques
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06
Inferential Statistics
- • Hypothesis Testing • Confidence Intervals • t-tests and ANOVA
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07
Regression and Correlation Analysis
- • Simple and Multiple Linear Regression • Correlation Analysis • Interpreting Statistical Results