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Training on R Programming for Statistical Analysis & Data Science

Launchup Datalab

Launchup Datalab is a specialized skills and consulting hub that provides cutting-edge training and professional services in Data Science, Analytics, and Business Intelligence. Based in Kigali, Rwanda, we empower students, graduates, professionals, and organizations with the practical knowledge needed to succeed in today's digital economy.

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TRAINING ON R PROGRAMMING FOR STATISTICAL ANALYSIS & DATA SCIENCE

LAUNCHUP DATALAB

Launchup Datalab is a Rwandan organization dedicated to practical, job-focused training, data analytics consulting, and digital skills development. Since its inception, it has empowered professionals and graduates to make data-driven decisions and advance their careers across Rwanda and the East African region. Our mission is to bridge the gap between academic knowledge and industry demands by delivering hands-on training, professional mentorship, and tailored data consulting services.

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https://launchupdatalab.com

TRAINING ON R PROGRAMMING FOR STATISTICAL ANALYSIS & DATA SCIENCE

Lead Trainer:Dr. Lema Logamou Seknewna – PhD, Senior Data Scientist & Lecturer. Hands-on training in R, Python, Power BI, and Machine Learning.

Organiser: Launchup Datalab
Dates: 15–26 Nov 2025 | Time: 09:00 AM – 5:00 PM (weekends)

Venue: FABLAB, Kacyiru – Kigali (In-person) & Online via Google Meet
Mode: Hybrid (In-person + Online) | Fee: 125,000 RWF | Lunch: Included
Certificate: Upon passing the capstone project

Secure your spot:https://www.launchupdatalab.com/courses/r-programming-for-statistical-analysis-and-data-science-1-1


1. INTRODUCTION

Data literacy and statistical analysis are essential skills for today’s professionals, yet many lack hands-on experience. This practical training equips participants with R programming, data transformation, visualization, and statistical analysis skills, culminating in a capstone project to apply knowledge to real-world data challenges.

2. RATIONALE AND RELEVANCE

Data analysis and visualization are critical skills in today’s professional landscape. This course provides hands-on R training, empowering participants to transform data into actionable insights, support decision-making, and enhance their impact in the workplace or research projects.

3. TRAINING PURPOSE AND OBJECTIVES

Purpose:
To equip professionals, graduates, and researchers with practical skills in R programming and statistical analysis, enabling them to perform robust data analysis and make informed, data-driven decisions.

Objectives:
By the end of this training, participants will be able to:

  • Interpret results to support decision-making in professional or research contexts.
  • Complete a capstone project demonstrating applied skills.
  • Apply statistical methods to analyze real-world datasets.
  • Visualize data with effective charts and plots.
  • Import, clean, and transform data efficiently using R.

4. TARGET AUDIENCE

  • University students and recent graduates seeking data skills.
  • Professionals in research, business, or development sectors.
  • Data enthusiasts aiming to strengthen statistical analysis and R programming skills.
  • Organizations and teams needing applied data analysis capacity.

5. KEY FEATURES

  • Practical, hands-on sessions led by Dr. Lema Logamou Seknewna (Lead Trainer) and co-facilitators from Launchup Datalab.
  • Capstone project to consolidate learning.
  • Hybrid delivery: in-person and online sessions.
  • Limited class size for quality learning experience.
  • Certificate of Completion awarded upon passing the capstone project.

6. TRAINING METHODOLOGY

  • Instructor-led practical sessions: Hands-on guidance from the lead trainer, Dr. Lema Logamou Seknewna, with support from co-facilitators from Launchup Datalab.
  • Interactive exercises: Real-world datasets and practical tasks to reinforce learning.
  • Capstone project: Participants apply skills to a comprehensive data analysis project.
  • Group discussions and Q&A: Collaborative problem-solving and knowledge sharing.
  • Online recap sessions: Evening sessions after each weekend to review and clarify concepts.

7. TRAINING OUTLINE

Day 1 – Saturday, Nov 15: Getting Started with R & RStudio

  • Introduction to R programming environment and RStudio.
  • Basic syntax, operators, and data structures.
  • Hands-on exercises: vectors, lists, and data frames.

Day 2 – Sunday, Nov 16: Data Import & Transformation with tidyverse

  • Importing data from CSV, Excel, and databases.
  • Data cleaning, wrangling, and transformation using tidyverse.
  • Practical exercises: cleaning and preparing datasets for analysis.

Online Recap – Wednesday, Nov 19 (8:00 PM – 9:30 PM)

  • Review of Days 1–2 concepts and exercises.
  • Q&A session for clarification and additional practice.

Day 3 – Saturday, Nov 22: Data Visualization with ggplot2

  • Principles of effective data visualization.
  • Creating charts, plots, and dashboards in R.
  • Hands-on exercises: visualizing sample datasets.

Day 4 – Sunday, Nov 23: Statistical Analysis & Capstone Project Launch

  • Applying descriptive and inferential statistical methods.
  • Introduction and guidance for capstone project.
  • Hands-on exercises using real-world datasets.

Online Recap – Wednesday, Nov 26 (8:00 PM – 9:30 PM)

  • Review of Days 3–4 concepts.
  • Guidance and Q&A on capstone project submission.

8. LEAD TRAINER’S PROFILE
The training will be led by Dr. Lema Logamou Seknewna, a highly qualified researcher and data scientist with a PhD in Mathematics & Statistics. He currently serves as a Data Scientist at the African Institute for Mathematical Sciences (AIMS) Rwanda and a Statistician at the National Institute of Statistics of Rwanda (NISR). Dr. Lema brings a rich and balanced approach to teaching—combining theoretical depth with practical, real-world application. He has successfully led numerous workshops across Africa, equipping professionals and students with hands-on skills in data analysis and statistical computing.

9. LOGISTICS & FEES

  • Dates: 15th – 26th November 2025
  • Venue: FABLAB, Kacyiru – Kigali (In-person) & Online via Google Meet
  • Training Fee: 125,000 RWF
  • Lunch: Provided for in-person participants
  • Payment Methods (under Launchup Ltd):
    • Momo Pay: *182*8*1*101722#
    • Bank Transfer: 20095440001 / I&M Bank
  • Seats: Physical class limited to 35 participants; online participation available
  • Registration: Closed once participant limit is reached

10. CERTIFICATION

Participants who successfully complete the capstone project with a pass mark of 65% or higher will be awarded a Certificate of Completion from Launchup Datalab.

11. CONTACT & REGISTRATION

For registration and enquiries:
Justin N. – CEO, Launchup Datalab
Tel: 0785019874
Email: info@launchupdatalab.com 
Registration link:https://www.launchupdatalab.com/courses/r-programming-for-statistical-analysis-and-data-
science-1-1

 

Click on the APPLY button to send your application documents:
  • Your application will be sent to the employer immediately (Allowed formats: .doc .pdf .txt .docx)
  • A confirmation email will be sent to you few minutes afterwards
  • You can request any documents archived from our website (ex: a job description, a CV, a cover letter...)
Please bear in mind that you should never be requested to pay to get interviews, or to pass extra certifications etc...