Classroom cohorts in Cape Town, Pretoria, Johannesburg · live online · in-house anywhere in South Africa
Coding skills let analysts automate repetitive work, handle data sets too large for spreadsheets and reproduce results on demand. Starting from installation and your first scripts in both Python and R, you build core data structures in each language: lists, dictionaries, NumPy arrays and pandas DataFrames in Python, and vectors, lists, factors and data frames in R. You then learn control flow, conditionals, loops and writing reusable functions. Data wrangling sessions use pandas, dplyr and tidyr to filter, sort, group, join, reshape and summarise real data.
Later sessions cover visualisation with matplotlib, seaborn and ggplot2, reading data from files and databases, and organising code into clear notebooks and scripts. Comparing the two languages side by side helps you choose the right tool for each task and read code written in either. Short exercises build into a small end-to-end analysis project. Analysts, researchers, M&E officers, finance and business professionals and graduates moving into data roles will find it a solid starting point. You finish able to write clean code that loads, cleans, analyses and visualises data in both languages.
Python and R remain the two dominant languages in data science, each with strengths analysts need to draw on. This course builds working programming fluency in both — covering core syntax, data structures, control flow, and the libraries used daily for data wrangling and visualization.
Participants complete parallel exercises in Python and R, building the comparative fluency needed to choose the right tool for a given data science task and collaborate across teams that use either language.
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 programming for data science (python & 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 core data structures in r, 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 Programming for Data Science (Python & R) Training, participants will leave with:
This training course adopts a practical, participant-centered learning approach that builds programming for data science (python & 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:
Programming for Data Science (Python & R) Training suits people who handle data daily but write little or no code, and those fluent in one language who need working competence in the other.
Delegates who complete all ten days receive a Certificate of Completion from Vision Reach Global Consultancy, confirming their ability to write and debug Python and R code for data manipulation, apply pandas and dplyr to clean and transform datasets, and produce visualisations with matplotlib, seaborn and ggplot2.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Our training team can help with group pricing, invoicing, or picking the right schedule.
Choose Where You Want to Learn
South AfricaCape TownNext Oct 26· 13 dates$7,600South AfricaPretoriaNext Nov 2· 13 dates$6,400South AfricaJohannesburgNext Nov 2· 13 dates$6,800
KenyaMombasaNext Oct 26· 13 dates$3,200KenyaNaivashaNext Nov 2· 13 dates$3,000KenyaNairobiNext Nov 9· 13 dates$3,000KenyaKisumuNext Oct 26· 13 dates$3,000KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaZanzibarNext Nov 16· 13 dates$5,200
UAEDubaiNext Oct 26· 13 dates$7,600TanzaniaDodomaNext Oct 26· 13 dates$3,600TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000TanzaniaArushaNext Nov 9· 13 dates$3,800
NigeriaAbujaNext Nov 9· 13 dates$5,600NigeriaLagosNext Nov 16· 13 dates$5,600
GhanaAccraNext Nov 16· 13 dates$9,000Scroll sideways to see all 18 cities →
Everything you need to know about this course before you register.
Programming for Data Science (Python & R) Training runs as classroom training in Cape Town, Pretoria, and Johannesburg, South Africa, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in South Africa, or book it in-house at your organisation's own premises.
The next classroom cohort in South Africa starts on October 26, 2026 in Cape Town, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
Classroom fees for Programming for Data Science (Python & R) Training in South Africa run from USD 6,400 per delegate in Pretoria to USD 7,600. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Programming for Data Science (Python & R) Training can be delivered at your offices anywhere in South Africa, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Programming for Data Science (Python & R) Training also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in South Africa without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Programming for Data Science (Python & R) Training programme, you'll be able to write functional python and r code for data manipulation tasks, use pandas and dplyr to clean, filter, and transform datasets, apply core programming concepts: loops, functions, and conditionals, and visualize data using matplotlib, seaborn, and ggplot2. The full breakdown of topics is covered session by session in the Course Outline tab above.
Programming for Data Science (Python & R) Training suits people who handle data daily but write little or no code, and those fluent in one language who need working competence in the other. Typical delegates include Data Analysts and Reporting Analysts moving from spreadsheets to scripted workflows, Junior Data Scientists consolidating Python and R fundamentals, Business Intelligence Developers extending SQL skills into pandas and dplyr, Statisticians and Research Analysts adopting reproducible scripting, Database and Data Engineers who need scripted import, export and transformation routines, Actuarial, Finance and Marketing Analysts building their own data pipelines, and Academic Researchers and Postgraduate Students preparing data for analysis and publication.
Programming for Data Science (Python & 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Programming for Data Science (Python & R) Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Programming for Data Science (Python & R) 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.
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