Master Introduction to R Programming for Data Science through practical, hands-on instruction tailored for African professionals.
This comprehensive 10-day programme equips participants with practical expertise in introduction to r programming for data science. Designed for working professionals across Africa, the course combines theoretical foundations with real-world case studies and hands-on exercises. Participants leave with immediately applicable tools and frameworks.
Whether you're advancing your current role or transitioning to a specialization, this course provides the skills and confidence needed to excel in today's data-driven environment.
By the end of this course, participants will be able to:
Day 1: The R Environment and First Scripts
Day 2: Data Structures and Data Import
Day 3: Data Wrangling with dplyr and tidyr
Day 4: Data Quality, Validation, and Compliance Workflows
Day 5: Exploratory Data Analysis and Descriptive Statistics
Day 6: Data Visualisation with ggplot2
Day 7: Statistical Inference and Hypothesis Testing
Day 8: Regression and Predictive Modelling
Day 9: Automation, Functions, and Reproducible Reporting
Day 10: Applied Analytics Project and Communicating Findings
Introduction to R Programming for Data Science is aimed at people who work with organisational data in spreadsheets or statistical packages and now need a reproducible, code-based workflow in R.
Participants who complete all ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to write R scripts that import, clean, analyse, model, and visualise organisational data reproducibly. The certificate records competence in R-based statistical analysis and reporting rather than any external accreditation.
Everything you need to know about this course before you register.
By the end of the Introduction to R Programming for Data Science Training programme, you'll be able to apply statistical techniques and data analysis methodologies to real organizational challenges, design and implement data visualization strategies that drive stakeholder decision-making, build and validate predictive and descriptive models using industry-standard tools, and integrate quality assurance and compliance frameworks into data management workflows. The full breakdown of topics is covered session by session in the Course Outline tab above.
Introduction to R Programming for Data Science is aimed at people who work with organisational data in spreadsheets or statistical packages and now need a reproducible, code-based workflow in R. Typical delegates include Monitoring and evaluation officers building indicator dashboards and survey analyses, Research assistants and survey statisticians moving from SPSS, Stata, or Excel to R, Data analysts and business intelligence analysts producing recurring analytical reports, Epidemiologists, health information officers, and public health data staff, Economists, actuarial and risk analysts fitting descriptive and predictive models, Data quality and compliance officers responsible for validating datasets before release, and Programme and portfolio managers leading data-driven transformation initiatives who must interpret analytical output.
Introduction to R Programming for Data Science Training typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Introduction to R Programming for Data Science Training is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
Introduction to R Programming for Data Science Training runs on a rolling cohort basis, so a new intake is always coming up. Pick your preferred format and location in the schedule panel above, then click "Register for the Course" to reserve your seat — confirmation follows once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Introduction to R Programming for Data Science Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Introduction to R Programming for Data Science Training is pitched at foundation to intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Introduction to R Programming for Data Science Training vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Introduction to R Programming for Data Science Training can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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