Cesar’s course is rated: Excellent
Rated 4.6 out of 5
4.8 out of 5 based on over 2.5k+ reviews
DATA ANALYSIS COURSE USING R
4-Week Online Training
Master data analysis with CESAR’s comprehensive R Course. Learn to manipulate data, create stunning visualizations, and run advanced statistical tests, all using the world’s most powerful statistical software.
R11 000.00 Excluding VAT
DATA ANALYSIS COURSE USING R
4-Week Online Training
Master data analysis with CESAR’s comprehensive R Course. Learn to manipulate data, create stunning visualizations, and run advanced statistical tests, all using the world’s most powerful statistical software.
R11 000.00 Excluding VAT
3.8k+
Cesar’s course is rated: Excellent
Rated 4.6 out of 5
4.8 out of 5 based on over 3.8k+ reviews
Course Overview:
R is a programming language and free software environment for statistical computing and beautiful data visualisation. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical techniques. Being a full programming language, R is highly extensible.
R is now widely regarded as the best software for statistical analysis and data science. It is a fast, powerful statistical package designed by statisticians for data analysts of all disciplines. With Base R and a library of packages, the analyst has everything for data management, analysis, and data visualisation. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
In this course, participants will experience the desired qualities and functionalities that make R widely preferred. R is absolutely free. It compiles and runs on a wide variety of UNIX platforms, Windows, and macOS. Our facilitators are experienced, intentional, interactive, and friendly. We invite you to join this course and take your data analysis and visualisation skills to the next level.
ENROLLMENT IS NOW OPEN UNTIL 8TH JUNE 2026.
- Training Schedule
- Status
- Training Format
- Training Cost
- 15 June – 10 July 2026
- Accepting Enrollments
- Online Training
- R11 000.00 Excluding VAT
This course follows a 4-week online model that blends interactive webinars with self-paced learning to maintain the high level of engagement required for research and statistics training. Live contact sessions will hold twice weekly (3 hours per session).
During the course of this training, you'll receive:
- Recorded videos for every interactive webinar session to revisit at your own pace.
- Full access to all training materials, pre-reading, and practical exercises.
- Ongoing facilitator support throughout the course duration, ensuring you never get stuck.
ONLINE ENROLLMENT CLOSES IN
Days
Hours
Minutes
Seconds
Dates
15 June to 10 July 2026
Status
Accepting Applications
Training Format
Online Training
Cost of Online Training
R11 000.00 Excluding VAT
LIMITED OFFER VALID UNTIL 8TH JUNE 2026.
Days
Hours
Minutes
Seconds
Course Overview
R is a programming language and free software environment for statistical computing and beautiful data visualisation. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, etc.) and graphical techniques. Being a full programming language, R is highly extensible.
R is now widely regarded as the best software for statistical analysis and data science. It is a fast, powerful statistical package designed by statisticians for data analysts of all disciplines. With Base R and a library of packages, the analyst has everything for data management, analysis, and data visualisation. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
In this course, participants will experience the desired qualities and functionalities that make R widely preferred. R is absolutely free. It compiles and runs on a wide variety of UNIX platforms, Windows, and macOS. Our facilitators are experienced, intentional, interactive, and friendly. We invite you to join this course and take your data analysis and visualisation skills to the next level.
Registration Inclusions
This course follows a 4-week online model that blends interactive webinars with self-paced learning to maintain the high level of engagement required for research and statistics training.
During the course of this training, you’ll receive:
- Recorded videos for every interactive webinar session to revisit at your own pace.
- Full access to all training materials, pre-reading, and practical exercises.
- Ongoing facilitator support throughout the course duration, ensuring you never get stuck.
⚡ Course Objectives
What You Will Achieve
The course uses a fine blend of interactive discussions, group exercises, self-paced learning, and practical project reports to simulate real-world applications. By the end of the course, participants will be able to:
01. MASTER THE R ENVIRONMENT
Navigate Base R and RStudio with confidence, understand the R workspace and working directories, and write efficient, reproducible scripts using R scripts and R Markdown. Learn to manage packages, objects, and project files systematically to track and organise your work. Stop repeating manual tasks and start building clean, automated, and reproducible workflows in R.
02. MANAGE & CLEAN DATA LIKE A PRO
Import data from Excel, CSV, and other formats into R with confidence. Learn how to structure, append and merge datasets from multiple sources while preserving data integrity. Master the essential process of data cleaning to ensure your analyses are accurate and reproducible.
Learn the popular tidyverse ecosystem, including packages such as dplyr and tidyr, for efficient data cleaning and management in R.
03. Perform Real-World Data Analysis Projects
Move beyond basic summaries. Conduct normality tests, describe data succinctly and accurately. Perform subgroup (stratified) analyses with confidence. Learn ggplot2 to create best-in-class data visualisations—elegant, publication-quality, fully customisable graphs that communicate insights clearly and powerfully.
04. MASTER INFERENTIAL STATISTICS
Demystify statistical jargon. Gain a clear understanding of p-values, confidence intervals, and hypothesis testing. Learn to conduct and interpret key tests including Chi-squared and Fisher’s exact tests, as well as parametric and non-parametric methods (t-tests, Wilcoxon rank-sum, Kruskal–Wallis).
05. WRITE & APPRAISE RESEARCH PUBLICATIONS
Develop the skills to write clear, statistically sound research reports and critically evaluate academic papers. Understand the methods applied, assess the validity of findings, and communicate results with clarity and confidence.
Course Curriculum at a Glance
| Week 1Introduction to data and R Software | Week 2Data Management using R | Week 3Descriptive statistics and Subgroup analysis | Week 4Inferential Statistics |
|---|---|---|---|
| Research Questions & Data Structure Research questions · Data structure | R Script Files Organising and running R code | Making Sense of Data Concepts in descriptive statistics | Confidence Intervals Calculating and interpreting confidence intervals |
| Introduction to R Exploring R · Comparing with Stata & Python · Downloading R & RStudio | Reading & Importing Data Reading and importing data into R | Descriptive & Subgroup Analysis Using R for descriptive analysis · Using R for subgroup analysis | Statistical Tests Different types of statistical tests · The chi-square test |
| Working in R Data structures · Functions · Accessing packages · Writing R functions | Basic Data Management Basic data management procedures in R | Data Visualisation Data visualisation using R | Parametric & Non-Parametric Tests t-test · ANOVA · Rank-sum · Kruskal-Wallis · Correlation |
| R Programming Rules R programming rules and best practices | Measures of Effect & Multiple Regression Measures of effect · Introduction to multiple regression | ||
Week 1
Introduction to data and R Software
Research Questions & Data Structure
Research questions · Data structure
Introduction to R
Exploring R · Comparing with Stata & Python · Downloading R & RStudio
Working in R
Data structures · Functions · Accessing packages · Writing R functions
R Programming Rules
R programming rules and best practices
Week 2
Data Management using R
R Script Files
Organising and running R code
Reading & Importing Data
Reading and importing data into R
Basic Data Management
Basic data management procedures in R
Week 3
Descriptive statistics and Subgroup analysis
Making Sense of Data
Concepts in descriptive statistics
Descriptive & Subgroup Analysis
Using R for descriptive analysis · Using R for subgroup analysis
Data Visualisation
Data visualisation using R
Week 4
Inferential Statistics
Confidence Intervals
Calculating and interpreting confidence intervals
Statistical Tests
Different types of statistical tests · The chi-square test
Parametric & Non-Parametric Tests
t-test · ANOVA · Rank-sum · Kruskal-Wallis · Correlation
Measures of Effect & Multiple Regression
Measures of effect · Introduction to multiple regression
Why learn R with CESAR
CESAR is a world-class training and consultancy organization based in Johannesburg, South Africa. Since our founding, we’ve trained professionals from 35 countries across four continents. Over time, we’ve grown into one of the continent’s most trusted providers of statistical training. Our online approach is built on three pillars that ensure you gain practical, job-ready skills, all from the comfort of your home or office:
Hands-on Learning
This isn’t a passive lecture. You’ll work through real datasets and guided projects that build your confidence step-by-step. You won’t just watch tutorials; you’ll actively practice how R is used in real analysis, from data cleaning to final output.
Current Knowledge
Learn the modern methods used by leading global health and research bodies like the World Health Organization, UNAIDS, and The Global Fund. We focus on the techniques and packages used by today’s professionals, moving beyond outdated textbook examples.
Real-World Application
This training is grounded in field-based scenarios that reflect the decisions analysts face daily. You will learn to interpret results clearly and apply R insights to actual research, reports, and organizational strategy.
Why Learn R with CESAR?
CESAR is a world-class training and consultancy organization based in Johannesburg, South Africa. Since our founding, we’ve trained professionals from 35 countries across four continents. Over time, we’ve grown into one of the continent’s most trusted providers of statistical training. Our online approach is built on three pillars that ensure you gain practical, job-ready skills, all from the comfort of your home or office:
– Hands-on Learning: This isn’t a passive lecture. You’ll work through real datasets and guided projects that build your confidence step-by-step. You won’t just watch tutorials; you’ll actively practice how R is used in real analysis, from data cleaning to final output.
– Current Knowledge: Learn the modern methods used by leading global health and research bodies like the World Health Organization, UNAIDS, and The Global Fund. We focus on the techniques and packages used by today’s professionals, moving beyond outdated textbook examples.
– Real-World Application: This training is grounded in field-based scenarios that reflect the decisions analysts face daily. You will learn to interpret results clearly and apply R insights to actual research, reports, and organizational strategy.
⚡ Your Lead Facilitator
Lead Facilitator
- PhD
- Research Leader
Dr. Braimoh Bello
A practitioner who has shaped policy and health outcomes across the globe — bringing lived expertise into every session.
CREDENTIALS
Institutional Appointments
- Research Technical Leader — CESAR
- Honorary Lecturer — Wits School of Public Health
GLOBAL CONSULTING
- UNAIDS
- Global Fund
- WHO
Trusted advisor to some of the most influential bodies in global health
UNAIDS
Global Fund
WHO
WORLD-CLASS EDUCATION
Academic Pedigree
- PhD — Utrecht University
- Business Leadership — Harvard University
- Artificial Intelligence — Oxford University
PUBLISHED AUTHORITY
Research Output
SCIENTIFIC PAPERS
TECHNICAL REPORTS
+
CONFERENCE PRESENTATIONS
+
Dr. Bello is not only a technical expert in research and evaluations but also a fantastic teacher.
Participant’s Testimonials
Don't Just Take Our Word For It
CESAR has grown into one of Africa’s most trusted providers of research and statistical courses. We’re also among the continent’s leading data analyst trainers, known for a practical teaching approach that consistently delivers results.
“I learnt more than i expected and the training sparked a lot of interests. Very important training that i wish i learnt what i learnt earlier. Thank you very much.”
Course participant, Zambia National Public Health Institute
“Facilitator is knowledgeable and highly skilled.”
Course participant, Zambia National Public Health Institute
“Informative, educational and insightful.”
Course participant, National Institute for Communicable Diseases, South Africa
“Excellent training, excellent facilitators, and especially impressive to have provided files with the slide and content of the course, and flash drives with the datasets. All in all, very professional. Furthermore, one walks away from the training feeling confident that one has a handle on the software and the principles involved in qualitative data analysis.”
Course participant, National Institute for Communicable Diseases, South Africa
“I would recommend the course to other technicians from RBC, Ministry of Health, and other ministries like Agriculture and Education. This course is important for public institutions.”
Course participant, Rwanda Biomedical Centre
“I’m more confident with R now than before. I now have the skill to search for manipulations and codes I didn’t know about before. I will be able to present data to my supervisors in a better explainable way.”
Course participant, CDC, Zambia
⚡ Secure your spot
Enroll in our “Comprehensive Data Analysis Course Using R” today and join the ranks of skilled professionals making a significant impact in their careers.
Frequently Asked Questions
Find answers to common questions about the comprehensive Data Analyst course with R
This course covers the fundamentals of data analysis using R. You will learn how to program in R, manage and analyse datasets, and create beautiful, publication-quality data visualisations. The online format is designed to deliver the same high-quality, hands-on experience as our in-person training, but with the flexibility to fit your busy schedule.
This course is designed for beginners to intermediate users, including students, researchers, and professionals across all spheres looking to enhance their data analysis skills. No prior programming experience is required—just a willingness to learn. Whether you are in public health, economics, academia, or the private sector, this course will help you perform data-driven tasks with confidence.
The course runs over 4 weeks and blends live learning with self-paced study. It includes:
- Interactive Webinars: Live, facilitator-led sessions will hold twice a week to introduce concepts and demonstrate techniques.
- Self-Learning Activities: Practical exercises and assignments between sessions to reinforce your skills.
- Ongoing Support: Facilitators are available throughout the course to answer questions and provide guidance.
No problem. All interactive webinar sessions are recorded. You will have access to these videos, allowing you to catch up on any missed content at your own pace without falling behind.
You will need:
- A computer with a stable internet connection.
- A modern web browser to access the webinars and online materials.
- Software: R is completely free. You will be guided on how to download and install both R and RStudio (a user-friendly interface for R) during the first week of the course.
- We provide the course materials and exercises, including a fully functional training version for five weeks.
All pre-reading materials, practical exercise datasets, and recorded webinar videos will be shared with participants digitally. You will receive full access to these resources throughout the course duration.
Yes. After successfully finishing the course and participating in the required activities, you will receive an e-Certificate of attendance from CESAR.