Courses
R Programming Course
Learn essential Data Analysis with R skills, including data manipulation, statistical modeling, visualization, and hypothesis testing using the R programming language and its powerful packages like dplyr, ggplot2, and tidyr, to derive meaningful insights from datasets and support data-driven decisions.
About Course
Career Prospects
- R Programmer
- Data Analyst
- Data Scientist
- Statistician
- Machine Learning Engineer
- Quantitative Analyst
- Biostatistician
- Research Analyst
- Business Intelligence Analyst
- Financial Analyst
Course Curriculum
Module 1: Introduction to R
- Installation and Setup
- R Environment Basics
- Basic Syntax
- Data Types
- Variables and Operators
Module 2: Control Structures and Functions
- If-Else Statements
- Loops (For, While)
- Function Creation
- Arguments and Scoping
- Error Handling
Module 3: Data Structures in R
- Vectors and Lists
- Matrices and Arrays
- Data Frames
- Factors
- Strings Manipulation
Module 4: Data Import and Export
- Reading CSV Files
- Excel and JSON Handling
- Database Connections
- Writing Data Files
- Data Cleaning Basics
Module 5: Data Manipulation with dplyr
- Selecting and Filtering
- Mutating Columns
- Grouping and Summarizing
- Joining Datasets
- Piping Operations
Module 6: Statistical Analysis
- Descriptive Statistics
- Probability Distributions
- Hypothesis Testing
- Correlation and Regression
- ANOVA Basics
Module 7: Data Visualization with ggplot2
- Basic Plots
- Customizing Aesthetics
- Layering Geoms
- Themes and Scales
- Faceting and Coordination
Module 8: Advanced Topics
- Apply Family Functions
- Regular Expressions
- Date and Time Handling
- Parallel Computing
- Package Management
Module 9: R for Machine Learning
- Model Building Basics
- Classification Techniques
- Clustering Methods
- Model Evaluation
- Cross-Validation
Module 10: Projects and Applications
- Real-World Case Studies
- Shiny App Development
- Report Generation with RMarkdown
- Portfolio Building
- Deployment Strategies
Skills and Tools Covered
- R
- RStudio
- dplyr
- tidyr
- ggplot2
- shiny
- caret
- lubridate
- stringr
- data.table
- knitr
- RMarkdown
- readr
- DBI
Duration
1 Month
Cost
KES. 15,000