Professional Training on R Programming for Data Analytics

PROFESSIONAL TRAINING ON R PROGRAMMING FOR DATA ANALYTICS 

(Hands-on training and no prior coding experience required)

• Duration:6-days (3-weekends) 
• Dates: 08th – 23rd August 2026
• Venue: UR-CST Nyarugenge Campus 
• Mode: Physical and Virtual Participation Available
• Investment: 50,000 RWF
• Time: 09:00 AM – 5:00 PM
• Certification: Certificates of Successful Completion are awarded to participants who complete the training and pass the capstone project with a minimum mark of 65%. 
• Requirements: Participants should bring a laptop; RStudio installation instructions will be shared upon registration. Virtual participants will receive login details for the online platform ahead of each session.
• Registration Link: https://dataplusrwanda.com/courses/apply/r-programming

1. Introduction

In today’s fast-evolving world, data is the cornerstone of innovation, strategy, and progress. Across Africa, organizations in sectors like agriculture, business, finance, healthcare, development NGOs and technology are embracing data-driven decision-making to solve complex challenges and seize new opportunities. Yet, many professionals lack the practical skills to transform raw data into actionable insights. DATA+ Rwanda proudly presents a dynamic 6-day (3-weekend) training program on data analysis using R programming, crafted for African professionals from all walks of life. This immersive course takes you from foundational concepts to intermediate expertise, empowering you to analyze data, uncover trends, and drive impact in your field. Whether you’re an NGO staff member, junior data analyst, policymaker, researcher, or business leader, this training will equip you with the tools to thrive in a data-centric future.

2. Why R?

R is the gold standard for data analysis and statistical computing. As an open-source language, R offers a rich ecosystem of tools and libraries, making it the go-to choice for data professionals worldwide. From cleaning messy datasets to building sophisticated visualizations and predictive models, R’s capabilities are unmatched. Its user-friendly syntax is accessible to beginners, while its advanced packages, like dplyr and caret, cater to complex analytical needs. For African professionals, R provides a cost-effective, globally recognized platform to tackle local challenges, whether optimizing agricultural yields, analyzing public health trends, or driving business growth. By mastering R, you’ll join a global community of data innovators and position yourself at the forefront of Africa’s data revolution.

3. Training Objectives

This intensive program is designed to deliver practical, career-enhancing skills. By the end of the 6-day training, participants will be able to:

• Build a Strong Foundation: Master essential statistical concepts and R programming basics, including data types, functions, and logic flows, to confidently navigate the R environment.
• Streamline Data Workflows: Import, clean, and reshape diverse datasets with precision, using R’s cutting-edge tools to produce data for impactful analysis.
• Craft Compelling Visuals: Create stunning, professional visualizations with libraries like ggplot2 to tell data-driven stories that resonate with stakeholders.
• perform Robust Statistical Analysis: Apply statistical techniques to explore data, validate hypotheses, and uncover insights that inform strategic decisions.
• Communicate with Impact: Translate complex data into clear, persuasive narratives, tailored for technical and non-technical audiences, to drive innovation and action.

4. Who Should Attend

This training welcomes African professionals from all backgrounds, including business analysts, healthcare practitioners, researchers, policymakers, and tech enthusiasts, eager to master coding and data analysis with R. No prior programming experience is needed, just a passion for data-driven solutions. Whether you’re in health, economics, agriculture, finance, public policy, or transitioning into data science, this course starts from the basics and advances to intermediate skills, empowering you to tackle real-world challenges and boost your career in Rwanda and beyond.

5. Facilitation Team

Dr. Lema Logamou is an expert statistician and data scientist with Phd in statistics. Dr. Lema is an experienced data scientist currently working as a researcher for AIMS (African Institute of Mathematical Sciences) and a data scientist for the Rwanda National Institute of Statistics (NISR). The guide trainer is supported by co-facilitators who deliver hands-on, one-on-one guidance throughout the course, ensuring every participant, regardless of prior experience, receives the attention needed to master the material.

6. Training Methodology

This hands-on, 6-day (3-weekend) training is meticulously designed to maximize value for busy professionals, ensuring immediate applicability during the course and lasting impact on your career. Our practical, participant-centered approach includes:

• Interactive Workshops: Engage in concise, expert-led sessions that blend theory with real-world applications, ensuring a solid understanding of R and data analysis concepts.
• Hands-On Labs: Apply your skills immediately through guided coding exercises and real-world case studies, tailored to African contexts, to build confidence and proficiency.
• Collaborative Group Projects: Work in small teams on capstone projects that mirror professional challenges, fostering teamwork and producing portfolio-ready outputs to showcase your skills to employers.
• Personalized Support: Benefit from dedicated co-facilitators who work alongside the guide trainer to deliver individualized guidance, ensuring no participant is left behind, regardless of prior experience.
• Post-Training Resources: Gain 12 months of free access to the DATA+ Academy e-learning platform (dataplusacademy.com), where you can revisit session recordings, exercises, and R resources at your own pace, alongside a supportive alumni network to apply skills in your workplace long after the training ends. This immersive methodology ensures you leave the program with practical expertise, a professional network, and the confidence to drive data-driven solutions in your organization.

7. Core Components of the Training

The curriculum is tailored to empower professionals with practical tools for real-world African applications. The core components are organized by weekend:

Weekend 1: Foundations of R and Data Analysis

• Introduction to R’s role in data analysis and its relevance to African industries (e.g., agriculture, health, finance).
• Setting up R and RStudio for efficient workflows.
• R programming basics: variables, data types, vectors, matrices, and operations.
• Core statistical concepts: measures of central tendency, dispersion, and distributions.
• Importing and exploring datasets, with hands-on exercises using real-world African data (e.g., economic or health datasets).

Weekend 2: Data Manipulation and Visualization

• Mastering data manipulation with dplyr and tidyr: importing, cleaning, and transforming data (CSV, Excel, JSON).
• Techniques for handling missing values, duplicates, and data inconsistencies; working with strings and dates (stringr, lubridate).
• Principles of effective visualization using ggplot2 to create bar charts, scatter plots, and line graphs tailored to African contexts.
• Hands-on: Cleaning a dataset and building professional visualizations for stakeholder communication.

Weekend 3: Statistical Analysis and Effective Communication

• Conducting statistical analyses: hypothesis testing, t-tests, chi-square tests, correlation, and linear regression.
• Applying statistical methods to practical scenarios (e.g., evaluating policy impacts or business trends).
• Creating professional reports with R Markdown for reproducible, stakeholder-ready outputs.
• Strategies for data storytelling to engage technical and non-technical audiences.

8. Fees

• Total Investment: 50,000 RWF
• Payment mode:Equity Bank: 4002200779105
• DATA+ Consultant ltd. MOMO pay code *182*8*1*92570, 
• Deadline for registration:01st August 2026
• Class Size: Enrolment is capped at [insert number] participants per cohort to preserve the hands-on, personalized learning experience.
• Group Registration: For organizations sponsoring, please reach out to Karara Benon at +250784857317 for a group rate and for more details.

9. Certification

Participants who successfully complete the training and the capstone project with pass mark of 65% will receive a certificate of Merit.

10. Upcoming Trainings

Following this program, DATA+ Rwanda has a schedule of training sessions to continue building professional capacity. 

1. September 2026: Geospatial Data analytics.
2. October 2026: Data management 
3. November 2026: Project Management Professional by PMI
4.  December 2026: AI for Project Management

11. Registration

To register, please fill out the online registration link:https://dataplusrwanda.com/courses/apply/r-programming

For inquiries and registration, contact:

Email: info@dataplusrwanda.com

Phone: +250784857317

Office Location: 3rd floor Ubumwe House KG 5 Kimihurura Ave, 

Kigali Rwanda. 

KARARA Benon 

CEO-DATA+ Rwanda