Every data science workflow starts with code. This course builds practical programming fluency in both Python and R, covering data structures, wrangling, and visualization so participants can move confidently between the two most widely used data science 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.
By the end of this course, participants will be able to:
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This course is ideal for professionals starting or strengthening their programming foundation for data science.
Participants who complete this course receive a Certificate of Completion from Vision Reach Global Consultancy. The course fee includes training materials, Python and R code templates, facilitation by an experienced data science practitioner, and a certificate presented at the close of the programme.
Everything you need to know about this course before you register.
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.
This course is ideal for professionals starting or strengthening their programming foundation for data science. Typical delegates include Aspiring Data Scientists and Analysts, Business and Research Analysts, IT Professionals transitioning into data roles, Graduate Students and Researchers, and Monitoring and Evaluation Professionals.
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.
Programming for Data Science (Python & R) Training is delivered 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.
Programming for Data Science (Python & 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 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.
Fees for Programming for Data Science (Python & 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 — Programming for Data Science (Python & 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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