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Description:
Mastering R Programming for Beginners is an introductory course designed to equip learners with foundational skills in R programming. Through hands-on modules, participants will explore essential topics such as using R and RStudio, managing data types, and working with vectors, matrices, factors, and data frames. By the end of this course, students will have the confidence to apply R programming in data analysis and problem-solving.
Eligible Audience:
- Beginners interested in programming and data analysis
- Students in fields such as data science, statistics, and bioinformatics
- Professionals seeking to upskill in data manipulation and analysis
- Researchers who want to use R for data exploration
Content:
Module 1: Introduction to R
- Differences Between R and RStudio
- Installing and Managing Libraries and Packages
- Setting the Working Directory
- Using R as a Simple Calculator
Module 2: R Data Types I
- Understanding Variables in R
- Creating and Manipulating Vectors
- Types of Vectors and Their Uses
- Indexing Vectors
- Exploring Binary Operators
Module 3: R Data Types II
- Creating Matrices
- Exploring Types of Matrices
- Indexing and Manipulating Matrices
Module 4: R Data Types III
- Creating Factors in R
- Types of Factors: Categorical vs. Ordinal Data
- Handling Categorical and Ordinal Data
Module 5: R Data Types IV
- Understanding Data Frames and Their Applications
- Indexing and Manipulating Data Frames
- Introduction to Lists in R
- List Indexing Techniques
Course Outcomes:
By the end of this course, participants will:
- Understand the basics of R and RStudio and their differences.
- Be proficient in handling fundamental data types such as vectors, matrices, factors, data frames, and lists.
- Apply indexing techniques to manipulate and explore data effectively.
- Use R for basic calculations and data organization.
- Lay the groundwork for advanced R programming skills in data analysis.
Instructor:
Dr. Arwa Mo`men
- Coperations manager and bioinformatician at colors educational hub.
- bioinformatics specialist at colors medical lab.
- bioinformatics teaching assistant at H3AbioNet.
- bioinformatics diploma, Nile University.
- faculty of science – biotechnology/bimolecular chemistry program. Cairo university.
Course materials
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