All journeys
Boarding
Guided cohort

Data Analytics

Insight Dispatch

A guided learning journey with a clear weekly rhythm, practical milestones and a conductor keeping the cohort moving together.

Boards

09 November 2026

Departure

10:00 am WAT

Conductor

Tolu Ade

Path

Data Analytics

Cohort size

45 riders

Destination

Junior Data Analyst

Project spotlight
Challenge preview

Featured cohort success

Insight Dispatch signature project

Riders will turn their Data Analytics learning into a practical team project, collecting decisions, feedback and measurable evidence for a portfolio-ready case study.

Insight Dispatch riders collaborating on their signature project

8

Riders involved

3

Gated stages

1

Portfolio case study

Trip highlights

What riders experience together

Practical builds

Riders apply Spreadsheets, SQL, Power BI through guided tasks and portfolio work.

Live feedback

Weekly clinics with Tolu Ade turn blockers into clear next steps.

Mastery checks

Every stage includes a practical gated assessment and mentor review before riders continue.

Peer learning

8 riders share progress, review work and solve problems as a cohort.

Journey so far

What learners are doing now

Boarding

Riders are completing onboarding, setting up their tools and meeting their learning crew before Data foundations begins.

Next stop

Stage 1

Data foundations

Coming next: Build the core concepts through guided lessons and short exercises.

Next stop

Stage 2

Analysis and visualisation

Coming next: Apply your skills in practical labs with peer feedback.

Next stop

Final stage

Decision storytelling

Coming next: Bring everything together in a portfolio-ready capstone.

Weekly schedule

How the cohort travels

MondayAnytimeWeekly module opens
Self-paced
Wednesday6:30 pm WATData clinic
Live
Saturday10:00 am WATMentor check-in & project review
Community

From the road

Gallery, updates and showcases

A window into working sessions and useful public references. Gallery images illustrate the intended cohort feed; external work is credited and is not presented as Tech Bus Stop learner work.