R remains one of the most powerful tools for rigorous statistical analysis. This course builds practical fluency in R for data cleaning, hypothesis testing, regression, and visualization, using real datasets from business and research contexts.
R is the language of choice for statisticians, researchers, and analysts who need rigorous, reproducible analysis. This course builds hands-on fluency in R — from data import and cleaning through hypothesis testing, regression modeling, and publication-quality visualization.
Participants work with real business and research datasets, writing reusable R scripts and building the statistical reasoning skills needed to interpret and defend their results.
Throughout the programme, participants work through realistic scenarios drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments, examining how statistical data analysis with r is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for visualization with ggplot2, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
By the end of this course, participants will be able to:
By the end of the Statistical Data Analysis with R Training, participants will leave with:
This training course adopts a practical, participant-centered learning approach that builds statistical data analysis with r expertise, strengthens analytical capability and develops confident professional judgement. The methodology combines specialist facilitation, applied hands-on experience and globally recognized professional practice, so that delegates return able to apply what they have learned immediately rather than in theory only.
Methodology includes:
Day 1: The R Environment and Data Structures
Day 2: Importing and Cleaning Data with the Tidyverse
Day 3: Reshaping, Joining and Preparing Analytical Datasets
Day 4: Descriptive Statistics and Exploratory Data Analysis
Day 5: Visualization with ggplot2
Day 6: Probability Distributions, Sampling and Inference Foundations
Day 7: Hypothesis Testing — t-tests, Chi-Square and ANOVA
Day 8: Linear Regression Modelling
Day 9: Logistic Regression and Model Evaluation
Day 10: Reproducible Reporting and Applied Analysis
Statistical Data Analysis with R Training suits practitioners who already work with data and need defensible statistical results rather than spreadsheet approximations. Typical participants include:
Participants who complete all ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to clean and reshape data in R, apply hypothesis tests and regression models, produce ggplot2 visualizations, and document analyses in reproducible R scripts and reports.
Everything you need to know about this course before you register.
By the end of the Statistical Data Analysis with R Training programme, you'll be able to import, clean, and reshape datasets using r and the tidyverse, conduct descriptive statistics and exploratory data analysis in r, apply hypothesis testing methods including t-tests, chi-square, and anova, and build and interpret linear and logistic regression models. The full breakdown of topics is covered session by session in the Course Outline tab above.
Statistical Data Analysis with R Training suits practitioners who already work with data and need defensible statistical results rather than spreadsheet approximations. Typical participants include: Data analysts and business intelligence analysts moving from Excel or SQL into R, Research officers and survey statisticians handling experimental or observational datasets, Biostatisticians and clinical data analysts running hypothesis tests and regression models, Market research and pricing analysts building models to support commercial decisions, Monitoring and evaluation specialists reporting on programme outcomes, Economists, actuarial analysts and financial modellers who need reproducible analytical scripts, and Data scientists and data engineers who use Python and want working fluency in R and the tidyverse.
Statistical Data Analysis with R Training typically runs as 10 Days. It's available as classroom, live virtual, and in-house training — every course can also be delivered on-site for your team on dates that suit you.
Statistical Data Analysis with R 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.
Statistical Data Analysis with R 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 Statistical Data Analysis with R Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Statistical Data Analysis with R Training is pitched at 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 Statistical Data Analysis with R 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 — Statistical Data Analysis with R 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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