Enhance Your Skills with These Upcoming Data Science Courses

As we approach the latter part of 2026, there's an outstanding opportunity to expand your data science skill set with a series of ten online courses running throughout October and November. Each session is conducted live by experienced data scientists and engineers actively engaged in client projects, ensuring practical insights and hands-on learning experiences.

Courses Scheduled for Autumn

Python Programming in October

October is ideal for diving into Python programming. The Introduction to Python course takes place on October 12th–13th, followed by Programming with Python on October 19th–20th, and Data Visualisation with Python on October 21st–22nd. This structured sequence enables participants to progress smoothly from basic programming principles to developing complex visualizations within just two weeks.

Getting Started with Shiny

If you're interested in creating interactive web applications, the Introduction to Shiny class on October 5th–6th is perfect for beginners. For those with existing knowledge, the Advanced Concepts in Shiny course scheduled for November 23rd–24th focuses on methods to enhance app maintainability, manage unpredictable user inputs, and optimize reactive programming techniques.

Visualisation and Statistics in R

Moving into November, Data Visualisation with ggplot2 will be held on the 2nd and 3rd, aimed at R users who want to develop skills in producing quality graphics suitable for publication. Following that, Statistical Modelling with R is on November 16th–17th, covering essential topics like hypothesis testing and regression.

Machine Learning with Tidymodels

The Machine Learning with Tidymodels course runs on November 4th–5th, followed by Advanced Machine Learning with Tidymodels on November 23rd–24th. Participants will learn the full machine learning workflow in R, from data preprocessing to model tuning.

Introduction to Git

For those looking to enhance their version control skills, the Introduction to Git class will occur in the mornings of November 16th–17th. Here, you’ll learn the fundamentals of version control and collaborative work practices using Git.

Autumn 2026 Course Schedule

Each course consists of two interactive sessions lasting three and a half hours each, with morning sessions from 09:00 to 12:30 and afternoon sessions from 13:30 to 17:00 (UK time). Complete schedules and session details can be found through the course links.

Registrations close one week before the start of each course—mark your calendar for these important dates. Early bird pricing is available for some November courses until early October.

Looking Ahead: Book for 2027

If your autumn schedule feels tight, you can secure spots for 2027 courses now. The first half of next year’s public schedule is already available, featuring early bird pricing for all listed sessions.

The upcoming courses will follow similar frameworks as this year, including the Introduction to R and Data Wrangling in the Tidyverse offered in both January and April, Python courses in February and May, and Machine Learning with Tidymodels in March.

Excitingly, Introduction to Bayesian Inference using RStan will be on the calendar in January, offering an in-depth look into writing Stan programs and MCMC diagnostics.

To benefit from early bird savings, be sure to book by late November or early December for the January offerings.

Further dates for the latter half of 2027 will be updated later. Meanwhile, watch for registration deadlines to make the most out of these learning opportunities.

The Jumping Rivers Training Advantage

The strength of Jumping Rivers training lies in the expertise of our trainers, who are seasoned data scientists and engineers. Each course is designed around real-world applications and cases drawn from ongoing client collaborations.

Participants benefit from:

• Detailed PDF notes and scripts for continued learning
• Interactive sessions filled with practical exercises and demonstrations
• Direct Q&A opportunities with the trainers

With a track record of over 1,000 successful training sessions for various organizations, including NHS Scotland and the Royal Statistical Society, you can trust in the quality of instruction offered here.

Webinars and Continued Learning

Jumping Rivers also hosts free webinars throughout the year, providing early insights into new trends in data science and analytics. Attending these webinars offers discounts on training courses and other events, making it a smart opportunity for ongoing education.

Sign up for upcoming webinars here.

Team Development Opportunities

For organizations seeking tailored training for their teams, Jumping Rivers provides in-house sessions customized to meet specific workflows and skills. We offer flexibility in course selection from our extensive catalogue, ensuring the training aligns with your team's needs. Discounts apply for group bookings and returning clients.

For tailored discussions, please reach out via email at training@jumpingrivers.com.

Secure Your Spot

Book your place now at jumpingrivers.com/training/public. Given the limited spots available for public courses, early booking is encouraged, especially if you have specific dates in mind.

For updates to this schedule, refer to the original post.