SI Analytics · October 2026 cohort

R for Data Analysis and Visualization

Turn raw data into clear findings, reproducible reports and interactive dashboards with R. Build a portfolio project with guidance from SI Analytics.

Reserve my seat — no payment Enrol in R Download brochure (PDF)

Practical skills. Work you can show.

From learning the tools to delivering a project.

For beginners, researchers and professionals who want to analyse data and communicate evidence with R.

RRStudiotidyverseggplot2PlotlyQuarto

Clean, combine and explore real datasets with tidyverse.
Create clear, publication-ready graphics with ggplot2.
Write reproducible reports and build interactive Quarto dashboards.
Publish an end-to-end capstone that demonstrates your analytical thinking.

The learning journey

Build confidence, one workflow at a time.

The first 8 weeks combine active workshops, preparation, code-along practice and feedback. The final 2 weeks focus on self-paced consolidation and your capstone.

Plan for 2–3 hours of weekly pre-work, a 2-hour workshop in the active phase, and assignment time. Weekly technical-help sessions support your practice.

These are learning modules, not a one-module-per-week timetable. Read the brochure for the full programme outline.

Read the R brochure

1
R foundations
RStudio setup, data types and structures, control flow, functions, exploratory analysis and responsible AI-assisted coding.
2
Visual storytelling with ggplot2
The grammar of graphics, chart selection, themes, facets, annotations and publication-ready visualisation.
3
Data wrangling with tidyverse
Filter, group, summarise, join and reshape data; handle missing values and build reliable cleaning workflows.
4
Reproducible reporting
Combine code, narrative and results in Quarto; create parameterised reports and publish with GitHub Pages.
5
Interactive dashboards
Bring interactive charts and tables together in a branded Quarto dashboard and prepare it for deployment.
6
Capstone and portfolio
Apply the full workflow to a real dataset, explain your findings and publish your final analytics project.

Learn from anywhere

One timetable. Your local time.

Join our global online cohort from wherever you learn. R and Python share the same timetable, automatically converted to your browser timezone, including local day changes and daylight saving.

Your local time · UTC

Live workshops · at launch: Sun, 6:00 PM UTC
Technical help · opening-week timing: Sat, 5:00 PM UTC

Converted using your browser timezone. Session invitations confirm individual dates.

Everyone joins at the same instant worldwide. Our fixed schedule is 18:00 UTC for workshops and 17:00 UTC for technical help. Conversions use the opening workshop on 18 October and a help-session reference on 24 October; invitations confirm which dates have sessions.

Compare other timezones

Nigeria · West Africa

Workshop · at launch: Sun, 7:00 PM GMT+1
Technical help · at launch: Sat, 6:00 PM GMT+1

UK · London

Workshop · at launch: Sun, 7:00 PM GMT+1
Technical help · at launch: Sat, 6:00 PM GMT+1

Workshops from Sunday, 25 October 2026: Sun, 6:00 PM GMT

Help from Saturday, 31 October 2026: Sat, 5:00 PM GMT

US / Canada · Eastern

Workshop · at launch: Sun, 2:00 PM EDT
Technical help · at launch: Sat, 1:00 PM EDT

Workshops from Sunday, 1 November 2026: Sun, 1:00 PM EST

Help from Saturday, 7 November 2026: Sat, 12:00 PM EST

US / Canada · Pacific

Workshop · at launch: Sun, 11:00 AM PDT
Technical help · at launch: Sat, 10:00 AM PDT

Workshops from Sunday, 1 November 2026: Sun, 10:00 AM PST

Help from Saturday, 7 November 2026: Sat, 9:00 AM PST

Central Europe · Berlin

Workshop · at launch: Sun, 8:00 PM GMT+2
Technical help · at launch: Sat, 7:00 PM GMT+2

Workshops from Sunday, 25 October 2026: Sun, 7:00 PM GMT+1

Help from Saturday, 31 October 2026: Sat, 6:00 PM GMT+1

UAE · Dubai

Workshop · at launch: Sun, 10:00 PM GMT+4
Technical help · at launch: Sat, 9:00 PM GMT+4

India · New Delhi

Workshop · at launch: Sun, 11:30 PM GMT+5:30
Technical help · at launch: Sat, 10:30 PM GMT+5:30

Australia · Sydney

Workshop · at launch: Mon, 5:00 AM GMT+11
Technical help · at launch: Sun, 4:00 AM GMT+11

Your first step · No payment required

Reserve my seat

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Your preferred track

What is stopping you from registering today?

I need more information about the course, curriculum, or expected outcomes.The cost or payment timing is my main concern.I am not sure whether R or Python is the right track for me.I am concerned about the time commitment or fitting the sessions into my schedule.Nothing major. I am interested and would like someone from SI Analytics to help me complete my registration.

I agree that SI Analytics may use these details to contact me by email or WhatsApp about this programme. I can ask to stop at any time. Joining the group is optional.

No account needed. This records interest; your place is confirmed through enrolment.

Earn your SI Analytics certificate.

Build evidence of your learning through practice, assignments and a capstone. Certificate eligibility requires a minimum 80% overall assessment score and completion of the programme requirements—not simply watching 80% of the videos.

Your programme includes guided live instruction, code-along activities, assignment feedback, community support and curated learning resources.

How assessment works

Pre-work and quizzes: 15%
Code-along activities: 15%
Workshop assignments: 20%
Participation: 10%
Capstone project: 40%

Choose your payment option

Start your R journey.

Select the first 4 weeks, 8 weeks or the full 10-week programme on Selar. Current prices, available currencies and instalment terms are shown there before you pay.

First 4 weeks 8 weeks Full 10-week programme

All three buttons open the R product page so you can select the appropriate option. R and Python have separate checkout links. Partial-payment options do not change the 10-week programme length.

View R prices & enrol Looking for Python? Explore that programme →

Before you enrol

Do I need previous coding experience?

These programmes begin with foundations. Bring a computer, a reliable internet connection and time to practise between sessions.

Are all 10 weeks live workshops?

No. There are 8 weeks of active workshops and 2 weeks of self-paced learning and capstone work. Weekly technical help supports the learning process; your cohort invitations confirm individual sessions.

Do I need to study both R and Python?

No. Choose the pathway that fits your goals. Each has its own curriculum, brochure and Selar payment page.

What happens to existing Healthcare and Business Intelligence learners?

Your existing programme and enrolment remain in the learning portal. The October public campaign does not replace your current lessons.

Already learning with us? Open the portal →Ask us a question →