Course Level:
Introduction
This training course is designed to introduce participants to data analysis and visualization using R.
R is a powerful, open-source programming language widely used for statistical computing, data science, and research.
Participants will gain skills in loading, cleaning, analyzing, and visualizing data using tools such as RStudio, tidyverse, and ggplot2.
Duration
5 days
Who Should Attend
- Researchers and academics
- M&E officers and data analysts
- NGO staff, program evaluators, and development practitioners
- Students and professionals transitioning into data science
- Anyone interested in reproducible, script-based data workflows
Training Methodology
- Instructor-led sessions with live coding
- Practical exercises using real datasets
- Mini-projects, guided labs, and collaborative reviews
- Resource sharing: code templates, cheat sheets, R scripts
Learning Outcomes (Course Objectives)
By the end of this course, participants will be able to:
- Set up R and RStudio for analysis
- Import, clean, and wrangle datasets using tidyverse
- Perform descriptive statistics and exploratory analysis
- Create professional visualizations using ggplot2
- Automate analysis and reporting using scripts and RMarkdown
- Communicate insights through well-structured, reproducible reports
Course Outline
Module I: Introduction to R and RStudio
- Why use R for data analysis and visualization
- Installing R and RStudio (or using Posit Cloud)
- Overview of RStudio interface and workflows
- Writing and running R scripts
- Introduction to key packages: tidyverse, readr, dplyr, ggplot2
Module II: Data Import and Wrangling
- Reading CSV, Excel, and other file types
- Data structures in R: vectors, data frames, tibbles
- Cleaning and transforming data using dplyr: filter(), select(), mutate(), arrange(), rename(), etc.
- Handling missing values and outliers
- Merging and joining datasets (left_join(), bind_rows())
- Reshaping data: pivot_longer(), pivot_wider()
Module III: Data Analysis and Exploration
- Summarizing data: summary(), group_by(), summarise()
- Creating custom metrics
- Frequency tables and cross-tabulations
- Exploring trends, patterns, and distributions
- Identifying outliers and anomalies
- Simple inferential stats: mean comparisons, correlations
Module IV: Data Visualization Using ggplot2
- The grammar of graphics and ggplot2 philosophy
- Plot types: Bar, line, scatter, box plots, histograms, density plots
- Customizing plots: colors, themes, labels, scales
- Faceting for subgroup analysis
- Interactive plots with plotly (optional)
- Exporting plots to PNG, PDF, and embedding in reports
Module V: Automating Reports and Final Project
- Creating a clean, reproducible report using R Markdown
- Combining text, code, and visualizations in one document
- Exporting reports to Word, PDF, and HTML
- Final capstone project: Import data, wrangle, analyze, visualize, report, presentation, and peer feedback
Related Courses
Course Administration Details:
Methodology
This instructor-led training course is delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion.
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation and Airport Transfer
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: letstalk@techfordevelopment.com
- Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: letstalk@techfordevelopment.com
- Phone: (+254) 790 824 179
Payment
Payment should be transferred to our bank account on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com
Click here to register for this course.
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