Africa's accountability-driven data science accelerator. Weekly check‑ins, weekly submissions, and a record employers can verify.
At DataraFlow, the work is public, reviewed and visible. By the end, each graduate has projects, articles and a portfolio that can get them hired.
Read the published workOne a week, under your own name.
Real datasets, reviewed by a mentor.
Supervised, then published as a preprint.
Weekly check-ins, all timestamped.
Miss the bar and you leave.
One skill a month, each built on the last.
Setup, programming in Python, and how to do research.
NumPy and Pandas, from first tables to advanced analysis and charts.
Presenting your analysis as a team, then data structures and algorithms.
Collecting data from the web and building first models.
Classification, clustering, and natural language processing.
A preprint of your research, agentic AI, and graduation.
Getting in is competitive and finishing is harder. Every certificate here was earned over a 24-week period of intensive learning and building.
1,830projects gradedand950articles published
2,078applications
269interns on the recordon the programme, finished or graduated
13graduates certified
13 certificates issued. Every one carries a number employers can check.
Verify a certificateEvery week, each intern writes up what they built and publishes it under their own name.
Beyond Discharge: The Hard Road to a Research Topic That Lives Close to HomeCHUKWUEMEKA DOMINIC EDEH
Cleaning, Combining and Questioning Data: What I Learned in Week 7 of DataraFlowDavid Eyinade
When Life Happens: My Week 7 at DataraFlowDamilola Adeyanju
Week 7: Cleaning, Combining and Questioning DataChristian Ngakwe
Raw Data Is Not Yet Cooked: The Analyst Goes Back to the KitchenCHUKWUEMEKA DOMINIC EDEH
From Headless Browsers to Window Functions: Cleaning, Scraping, and Auditing DataChristlove Oluwatobi
The Week I Learnt Not to Trust Clean-Looking DataSimon Adikwu
My First Full Data AnalysisValerie Igbokwe
Chasing the Sun: How I Planned the Ultimate Summer Getaway Using Python and Historic London Weather…Stephen Ayankoso
This Week in Data Science: Learning, Exploring Data, and Fighting DeadlinesSarah Akinwande
Cleaning, Visualising, Transforming and Combining Data with Pandas and SQLOYETUNJI Jamaldeen
Does Money Keep Babies Alive? Cleaning, Combining, and Correlating DataMukhtar Haruna
Week 7 at DataraFlow: Turning Raw Data into Meaningful Insights with Python, Pandas, and SQLVictor Ochiaku
From Raw Data to Useful Insights: My Week 7 Journey with PandasOluwadare Babatunde
Five Invisible Characters Broke My Data: My Week 7 with Pandas, Merging and SQLUdensi Udensi
From Messy Weather Data to Real Insights: My Week 7 Journey with Pandas and SQLYsabel Katchy
Data Cleaning, SQL Joins, and a Correlation That Made Me Say “Wait, What?”Nicole Kutswa
DOCTORS WHO CODE: Week 7 — My Data Had Other PlansIrene Udebuana
A Good Research Question Should Be Able to Surprise YouDaniel Mayowa
Week 7: Messy Data, Messy Desks, and the Magic of MergingFaustina Ndidiamaka Egbe
Somewhere Between the Code and the Charts, Data Analysis Started Making SenseMayowa Babayemi
Turning Messy Data Into Meaningful Insights: Lessons From My Week 7 At DataraFlowRaphael Daniel
Electricity, Internet Access, and the Digital Divide: What Data From 181 Countries RevealsKenneth Akure
The Week Python Started Feeling Familiar: Learning to Clean, Visualize and Question DataSodiq Mustapha
Week 6: The Week I Left the Comfort of CSVs and Learned to Speak SQLFaustina Ndidiamaka Egbe
I’ll Be Back: My Rematch With SQLBlessing Oshoke
That Data Is Rarely Clean (And Neither Is My Code)Asiat Bamidele
There’s More to Data than Meets the Eye: My Week 7 Data Cleaning JourneyNmesoma Odoh
Week 7: Week 7: Beyond the Code Learning to Clean, Transform, and Connect DataOluwafeyikemi Oladele
Week 7 at DataRaFlow: What Messy Data Taught Me About Transforming and Combining ItAnthony Ogar
Week 7: When Life Gave Me Lemons, I Did an Outer JoinKhadijah Dere
A Reflection on My Week 4 & 5: NumPy & PandasRaphael Daniel
My Week 7 ExperienceFehintola Oladele
Fighting the Ghost in the Machine: Debugging SQL in Jupyter NotebooksChristlove Oluwatobi
My Week in Data Analytics: Exploring London’s 2023 Weather ️Fareedah Lawal
From Messy Weather Data to Surprising World Bank DiscoveriesNaheemot Babatunde
Six months of weekly work, reviewed, and a record you can show anyone.
Apply to the next cohortEvery certificate has a number. Check it, then read the work behind it.
Verify a certificateThe programme is free. Gifts buy laptops and pay school fees, and every gift is listed.
See our impact and donorsInterns submit every week. Mentors grade it and write back.
Apply to be a mentor
