From statistics foundations to production-ready ML — built around real East Africa datasets with three graded capstone projects reviewed by industry mentors.

✓Regression, classification & causal inference
✓3 applied capstone projects with real data
✓Career coaching + employer introductions
✓IABAC internationally recognised certificate

24 weeks Hybrid · Nairobi & Online IABAC Accredited Cohort 14 open

Starting from KES 180,000

CDA

IABAC Accredited

Core track · CDA 002

Certified
Data Analyst

From raw data to boardroom insights

SQL, Power BI, Tableau, and business storytelling — structured around analyst roles in finance, telco, and the public sector across Africa.

✓SQL foundations to advanced analytics
✓Power BI & Tableau dashboard projects
✓Business case presentations & storytelling
✓IABAC internationally recognised certificate

16 weeks 100% Online IABAC Accredited Now enrolling

Starting from KES 120,000

AI

Artificial Intelligence · AI 003

Certified AI Expert

Neural networks, transformers, deep learning, and responsible-AI practices with a deployed system as capstone.

Production ML deployment
Responsible AI & ethics module

20 weeksHybridIABAC

Starting fromKES 220,000

BAM

Management · BAM 004

Business Analytics for Managers

Executive programme for managers leading data teams — methods, metrics, and how to commission analytics projects.

Data-driven decision frameworks
Evening cohort format

6 weeksEveningsIABAC

Starting fromKES 95,000

DPO ● Launching

Governance · DPO 005

Data Protection Officer

Kenya DPA 2019, GDPR, and regional data governance for appointed DPOs and compliance leads.

Kenya & GDPR compliance
ODPC recognised certificate

8 weeksOnlineODPC

Starting fromKES 140,000

ML

Machine Learning · ML 006

Certified Machine Learning

Supervised, unsupervised, and reinforcement learning with a focus on production deployment and MLOps.

End-to-end MLOps pipeline
Applied on African datasets

18 weeksHybridIABAC

Starting fromKES 200,000

Consulting & research

Data science, on the ground.

We partner with ministries, NGOs, and enterprises across East and West Africa — running diagnostics, building analytics capacity, and delivering decision-support systems that match the local data environment.

01Maturity diagnostic & roadmap — 6 weeks
02Embedded analytics teams — 3 to 12 months
03Decision-support dashboards & models
04Applied research & published reports

Start a conversation →

How it works

Four steps from application to certification.

Step 01

Apply online

15-minute form plus a short motivation statement. No prior degree required.

Step 02

Diagnostic

A timed aptitude test places you in the right cohort level.

Step 03

Cohort

Live sessions, asynchronous modules, weekly labs, and peer projects.

Step 04

Certify

Capstone evaluation, IABAC credential, and placement support for 12 months.

Graduates

What our alumni say.

"The capstone was the real differentiator — I shipped a production model that my current employer actually uses."

AW

Amina Wanjiru

Data Scientist · Safaricom

"I came in as a business analyst. Six months later I was leading the analytics function at our Kigali office."

JM

Jean-Pierre Mugisha

Analytics Lead · Bank of Kigali

"AfriCDSA treats African case studies as first-class material — not as footnotes. That changed how I approach problems."

KA

Kofi Asante

ML Engineer · MTN Ghana

By the numbers

Seven years. Six countries. One mission.

4.2K

Graduates

Across six African nations and the diaspora.

78%

Placement rate

Within 6 months of completion.

240+

Consulting projects

For ministries, NGOs, and enterprise clients.

94%

Completion rate

The highest in the region's certification landscape.

Field notes

Insights from our research team.

All field notes →

12 min read · Apr 2026

Research · Labor markets

Why 78% of our CDS graduates place within six months — and what it says about the African data-skills gap.

A longitudinal study of cohorts 7 through 12, cross-referenced with regional labor market data from Kenya, Rwanda, and Ghana. We find a persistent skills-to-seats mismatch concentrated in three verticals — and a measurable cohort effect that has been widening since 2022.

78%

6-mo placement

6cohorts

Longitudinal

3countries

Labor data

AW

Dr. Amina Wanjiru

Head of Research · AfriCDSA

Read the study →

7 min read · Mar 2026

Methods · Analytics

The dashboard that ministries actually use.

Why most government analytics initiatives fail at the last mile — and the three design principles behind dashboards that decision-makers actually open every morning.

JK

Joel Kamau

Read →

9 min read · Feb 2026

Policy · Data governance

Kenya DPA at five years — a practitioner's reading.

Five years after enactment, where does Kenya’s Data Protection Act stand? An honest audit of enforcement gaps, compliance culture, and what data practitioners must do differently in 2026.

FO

Faith Otieno

Read →

Cohort 14 · Applications

Applications close 12 May.
Don't wait.

Early-bird pricing ends 5 May — saves 20%. Scholarships available for up to 20% of each cohort. First application review happens 48 hours after submission.

Apply now Book a 15-min call

● Rolling reviews ● 48-hour first response ● Needs-based scholarships

● IABAC Accredited CDS · 001 Cohort 14

Certified Data Scientist.

Our flagship 24-week programme. Regression, classification, causal inference, and three applied capstone projects — built around African case data.

Duration

24 weeks

Format

Hybrid

Starts

12 May 2026

Location

Nairobi + Online

KES 180,000KES 220,000

— early-bird · ends 5 May —

Cohort closes in 18 days

240 hours of instruction
3 applied capstone projects
Weekly 1:1 mentor sessions
IABAC certification exam
12-month placement support

Apply to cohort 14 Download syllabus (PDF)

Overview

An applied programme — built around real data.

The CDS track is designed for early-career professionals who have a quantitative foundation and want to move into data-scientist roles. You'll finish the programme with a portfolio of three projects, an IABAC credential, and direct introductions to our hiring partners.

This is not a survey course. Every module ends in a hands-on deliverable, reviewed by a mentor. The final capstone is evaluated by an external panel drawn from industry.

Outcomes

What you'll be able to do.

01

Formulate a business problem as a well-posed predictive or causal question.

02

Build, evaluate, and compare regression and classification models end-to-end.

03

Design an experiment or quasi-experiment and defend the inference.

04

Ship a model to production with monitoring and fallback behavior.

05

Communicate methods and findings to a non-technical decision-maker.

06

Apply responsible-AI and data-protection principles to real workflows.

Syllabus · 6 modules · 24 weeks

What you'll learn.

A rigorous setup of the probability, statistics, and programming environment you'll rely on for the rest of the programme.

Probability distributions, sampling, and the central limit theorem
Hypothesis testing and confidence intervals in practice
Python for data — NumPy, Pandas, Matplotlib, Seaborn
Git, reproducible notebooks, and the lab environment
Lab: Cleaning and exploring a Kenyan mobile-money transaction dataset

The workhorse family of models — linear, generalized-linear, and their regularized variants — with emphasis on diagnostics.

OLS, assumptions, and residual diagnostics
GLMs: logistic, Poisson, and negative-binomial regression
Ridge, Lasso, and ElasticNet — when and why
Capstone 1: Predicting retail churn for a Nairobi grocery chain

Trees, forests, and gradient-boosted machines; the engines of most production ML systems in industry.

Decision trees and CART
Random forests, bagging, and feature importance
Gradient boosting — XGBoost, LightGBM, CatBoost
Imbalanced classes, calibration, and cost-sensitive learning

The methods that let you answer "what would happen if…" — the difference between a model and a decision.

Potential outcomes and the fundamental problem
Randomized experiments and A/B testing
Difference-in-differences, instrumental variables, regression discontinuity
Capstone 2: Evaluating a public-health intervention in Western Kenya

Models are only useful if they ship. This module covers deployment, versioning, and ongoing monitoring.

Model packaging with Docker and FastAPI
Data- and concept-drift monitoring
Retraining, shadow deployments, and rollback strategies
Cloud fundamentals — AWS / GCP / Azure essentials

A solo project scoped with an industry partner, defended before an external panel of practitioners.

Project scoping and problem definition
Implementation, evaluation, and deployment
Written technical report and business brief
Oral defense before an external panel

Lead instructor

Taught by practitioners.

Dr. Amina Wanjiru

Director, Applied Research

Amina leads our Nairobi faculty. Before AfriCDSA, she was a senior data scientist at Safaricom and a research fellow at the University of Cape Town, where she completed her PhD in applied statistics.

She has authored two open-access textbooks on causal inference for African data and advises the Ministry of Health on maternal-mortality analytics.

PhD · Statistics IABAC · CDS 10 yrs · Industry 40+ publications

Who it's for

Prerequisites.

✓ This is for you if…

You have a quantitative undergraduate background (STEM, econ, or similar)
You've written at least some Python or R
You're early- to mid-career, targeting a data-scientist role
You can commit 15–20 hours per week for 6 months

Not a fit if…

You're looking for a one-month intro to Python (try our CDA track)
You're a manager commissioning analytics (try BAM)
You need a purely online, self-paced programme

FAQ

Common questions.

Yes. IABAC is a global accreditation body with recognition across 40+ countries. Your credential is issued centrally and is verifiable online.

We offer needs-based partial scholarships for up to 20% of each cohort. A separate application is sent to shortlisted candidates.

All live sessions are recorded and available within 24 hours on the LMS. Labs have flexible deadlines within each module.

Graduates get 12 months of career support: a dedicated placement lead, CV / portfolio review, interview prep, and direct introductions to our hiring partner network.

Apply

Reserve your seat.

This is the first step — a non-binding application. Once we receive it, we'll send you a diagnostic link within 48 hours.

First name

Last name

Email

Phone (WhatsApp)

Country

Years of experience

Current role / background

Motivation (2–3 sentences)

Max 500 characters.

Send me occasional field notes and cohort updates.

I agree to the terms of application and data-processing policy.

Takes about 4 minutes.

Reference

Component library.

The building blocks used across the AfriCDSA web system. Every element draws from the brand kit's color, type, and graphic-device tokens.

Buttons

Primary for conversion actions; secondary for navy-weighted decisions; outline/ghost for tertiary. Sizes: sm / default / lg.

Badges & chips

Badges denote status (new, accredited, live). Chips are filter controls.

● New cohort ● IABAC Accredited Enrolling Cohort 14

Form inputs

All inputs share a single height, radius, and focus ring. Labels set in Plex Mono, uppercase.

Text input

Helper text sits below.

Error state

Please enter a valid email address.

Select

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Send me occasional updates.

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Standard container. Add .card-hover for hover-lift behaviour.

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A standard card. Used for programmes, insights, sidebar modules, and callouts. Sits on the panel surface with a 1px rule.

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Three approved treatments: natural documentary, navy-duotone for editorial, and striped placeholder with monospace caption.

Natural / in-situ

Navy duotone · editorial

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Used for deadlines, notices, and inline feedback.

Cohort 14 closes in 18 days.

Application received. Check your email.

We couldn't verify that email. Please try again.

Next diagnostic window: 28 April, 09:00 EAT.

Section heads

All sections open with an eyebrow (mono, uppercase) followed by an H2 with one italic phrase for emphasis.

Certification programmes

Accredited pathways — from foundation to expert.

Typography scale

Display (Newsreader serif) for headlines and lede copy; IBM Plex Sans for body; IBM Plex Mono for labels, codes, and meta. Type scales are fluid — H1 collapses to 44px below 900px.

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Evidence-led careers

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Accredited pathways.

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Certified Data Scientist

Lede22pxNewsreader 300lh 1.5

A research, consulting and professional-training institute certifying data scientists.

Body16pxIBM Plex Sans 400lh 1.55

Every module ends in a hands-on deliverable, reviewed by a mentor. The final capstone is evaluated by an external panel drawn from industry.

Small / Caption13pxIBM Plex Sans 400

12 min read · Apr 2026 · 24 pages · PDF available

Eyebrow11pxIBM Plex Monols 0.14em UPPER

Certification programmes

Code / Meta10pxIBM Plex Monols 0.12em UPPER

CDS · 001 · Cohort 14

Colour palette

Three brand scales (navy, flamingo, sand) plus cool-neutral ink. Semantic tokens (success, warning, danger, info) are derived from the brand palette and pass WCAG AA contrast on panel surfaces.

Navy · primary #040474

Flamingo · accent #F1592A

Sand · tertiary #EDA455

Ink-700 · body text #2E3344

Success #1E8A5F

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For programme listings, cohort rosters, and analytics exports. Mono metadata in sub-rows. Hover highlights the full row. Sortable columns use the same eyebrow label style.

Programme	Code	Duration	Format	Status	Price (KES)
Certified Data Scientist CDS · Cohort 14 · Flagship	CDS · 001	24 weeks	Hybrid	● Open	180,000
Certified Data Analyst CDA · Cohort 8 · Online	CDA · 002	16 weeks	Online	Enrolling	120,000
Certified AI Expert AI · Cohort 5 · Deep learning	AI · 003	20 weeks	Hybrid	Waitlist	220,000
BA for Managers BAM · Cohort 11 · Executive	BAM · 004	6 weeks	Evenings	● Open	95,000

Tabs

Used for switching between related views — programme overview vs curriculum, or LMS course sections. The active indicator is a 2px flamingo underline. State is managed with the .active class on both button and panel.

The Overview tab shows high-level programme information — duration, format, accreditation, and who the programme is designed for.

The Curriculum tab renders the module accordion — each module is collapsible with topics, duration, and lab descriptions.

The Outcomes tab lists the six key competencies in a 2-column grid, with numbered indicators.

The FAQ tab reuses the same accordion pattern as the syllabus — consistent interaction throughout.

Toast notifications

Four states: neutral (dark), success (green), error (red), warning (amber). Stack at top-right on desktop, bottom-center on mobile. Auto-dismiss after 5 seconds.

Application received

We'll send a diagnostic link within 48 hours.

Payment confirmed

Cohort 14 seat reserved. Check your email for details.

Submission failed

Please check your connection and try again.

Deadline approaching

Cohort 14 closes in 18 days. Early-bird ends 5 May.

Progress indicators

Horizontal bars track course completion, quiz scores, and cohort capacity. Four fill variants: flamingo (default), navy, success, and warning. Bar height adjusts for context (6px for compact, 10px for primary).

Module 4 · Causal Inference60%

Overall course progress42%

Capstone 1 score94 / 100

Cohort 14 · seats filled37 / 48

Skeleton loaders

Shimmer-animated placeholders while content loads. Used in LMS dashboard, programme grid, and search results. Match the exact shape and dimensions of the content they represent.

Empty states

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Data visualization tokens

SVG primitives used across charts: line/area charts for time-series, bar charts for comparisons, scatter for correlations. All use brand palette — flamingo for primary series, navy for secondary, sand for reference lines.

Line · time series

Bar · comparison

Scatter · correlation

System icons

All icons are inline SVG from a consistent 24×24 viewBox. Stroke-weight: 2px. Use stroke="currentColor" so icons inherit text colour and respect dark mode automatically. No fill-only icons in the system.

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Our story

Started in Nairobi. Built for the continent.

AfriCDSA was founded in 2019 by a coalition of African data scientists, academics, and industry practitioners who shared a common frustration: African data talent was being trained on curricula imported wholesale from the global north — with case studies, examples, and problem framings that rarely matched the realities of African data environments.

We set out to change that. Our curriculum is rebuilt each year around African case data. Our faculty are practitioners who work across the continent's industries — from mobile money and agritech to public-health surveillance and central-bank analytics. Our research programme publishes openly, in the languages our stakeholders actually speak.

Seven years in, we've grown from one cohort of 18 students in Westlands to six locations across East and West Africa, with 4,200+ graduates and a consulting practice that advises ministries and enterprises across the region.

What we believe

Four principles that shape everything we do.

Principle 01

African data first.

Every capstone uses data drawn from the continent. Case studies are scoped with local partners.

Principle 02

Rigor over hype.

We teach methods that hold up under scrutiny — not the trending tool of the quarter.

Principle 03

Practice, not theory.

All faculty are active practitioners. Our graduates ship things — they don't just learn things.

Principle 04

Open by default.

Research is published openly. Curricula are shared with accredited partners at no cost.

Timeline

Seven years. Six countries.

2019

Founded in Nairobi

First cohort of 18 students, housed in two rooms off Mpaka Road.

2020

IABAC accreditation

CDS and CDA tracks receive formal accreditation from the International Association of Business Analytics Certifications.

2021

Kigali campus opens

Rwanda becomes our second market. Launched French-bilingual delivery.

2023

1,000th graduate

Celebrated the 1,000th certified graduate at the Nairobi alumni summit.

2024

Consulting practice launches

Formalized the research + consulting arm. First engagement: maternal-mortality analytics for MoH Kenya.

2026

Six countries, 4,200 graduates

Active campuses in Nairobi, Kigali, Kampala, Dar es Salaam, Accra, and Bujumbura.

Faculty

Taught by practitioners.

Dr. Amina Wanjiru

Director, Applied Research

PhD Statistics (UCT). Previously senior DS at Safaricom.

Prof. Kwame Osei

Faculty Chair · AI

Deep learning research · formerly at University of Ghana.

Dr. Jeanne Nkurunziza

Head · Consulting Practice

Public-sector analytics · World Bank alum.

Samuel Ochieng

Lead Instructor · CDA

10 years FinTech analytics · ex-KCB Group.

Locations

Six campuses.

● Kenya

Nairobi · HQ

Mpaka Rd, Westlands. Flagship campus with 120-seat main hall.

800+ students/yrOpened 2019

● Rwanda

Kigali

KG 9 Ave, Nyarutarama. Bilingual EN/FR delivery.

320+ students/yrOpened 2021

● Uganda

Kampala

Kololo campus. Hybrid format with Nairobi faculty rotation.

180+ students/yrOpened 2022

● Tanzania

Dar es Salaam

Masaki. Smaller cohort model, strong agritech focus.

140+ students/yrOpened 2023

● Ghana

Accra

Airport Residential Area. West Africa hub.

220+ students/yrOpened 2023

● Burundi

Bujumbura

Newest campus. Needs-based scholarship focus.

80+ students/yrOpened 2025

Three ways to partner

Pick the relationship that fits.

Hiring partner

Priority access to capstone-defense events and direct referrals from placement team.

Quarterly cohort preview
Curated shortlists
Campus recruiting days
Optional sponsored project

Curriculum partner

Co-design a specialization track. Contribute real data for capstones.

Joint syllabus design
Guest lectures / masterclasses
Data-donor program
Co-branded certificate

Research partner

Commission or co-publish applied-research studies with our team.

Commissioned studies
Co-authored publications
Policy-brief series
Convenings & workshops

Our partners

A network built on trust.

Safaricom

KCB Group

MTN

Equity Bank

World Bank

UNECA

Bank of Kigali

NCBA

Airtel

Twiga

Jumia

M-KOPA

Cellulant

Flutterwave

Interswitch

GIZ

IFC

AfDB

Mastercard F.

Gates F.

Case study

Partnership in practice.

— SAFARICOM × AFRICDSA

Training 120 analysts for the data-driven network.

Safaricom engaged AfriCDSA to co-design a 12-week analytics programme for their network-operations team. We built a bespoke curriculum around anonymized signalling data, delivered in three cohorts over 18 months.

120

Analysts trained

96%

Completion

18mo

Engagement

Ready to partner with us?

Start a conversation Download partner deck

AfriCDSA/Hackathons

Registration open

AfriCDSA Datathon · 2026.

A 48-hour applied data-science competition. Six tracks. Teams of 3–5. KES 2,000,000 in prizes. Open to students, alumni, and practitioners across Africa.

Register a team Sponsor the event

Registration closes in

23

Days

14

Hrs

38

Min

12

Sec

Event · 22–24 JunNairobi + Online2,000,000 KES pool6 tracks

Upcoming events

Four events this year.

View calendar →

22–24 JUN 2026Registration open

KES 2,000,000Prize pool

AfriCDSA Datathon 2026

Our flagship 48-hour hackathon. Six tracks from fintech to public health. Open to teams of 3–5.

Nairobi + Online48 hoursTeams 3–5

12 JUL 2026● Early-bird

KES 500,000Prize pool

Women in Data · Kigali

A one-day analytics challenge for female-led teams. Mentorship from regional alumni.

Kigali1 dayTeams 2–4

24 AUG 2026

KES 800,000Prize pool

AgriTech Data Challenge

Partnership with Twiga Foods. Build models on real supply-chain data.

Online72 hoursTeams 3–5

15 NOV 2026

KES 600,000Prize pool

Public Health Analytics · Accra

MoH Ghana partnership. Anonymized surveillance data. Solo or duo entries.

Accra36 hoursSolo / duo

Past winners

Seven years of excellent work.

01

Maternal Risk Classifier

Team PREDICT · Nairobi

Datathon 2025

KES 500,000

01

Mobile-Money Fraud Graph

Team NODE · Kigali

FinTech Challenge 2025

KES 300,000

02

Crop-yield Forecaster

Team HARVEST · Kampala

AgriTech 2025

KES 200,000

01

Transit Demand Simulator

Team MATATU · Nairobi

Smart Cities 2024

KES 400,000

02

Solar-load Optimizer

Team WATT · Accra

Datathon 2024

KES 250,000

03

Health-worker Allocator

Team CLINIC · Dar

Public Health 2024

KES 150,000

…

Sponsor a track and meet the continent's top emerging talent.

Become a sponsor

Monday · 20 April 2026

Good morning, Amina.

Course progress

62%

Module 4 of 6 in progress

Assignments due

3

Next: Capstone 2 brief, Fri

Current grade

A-

Top 15% of cohort

Discussion activity

48

Posts this month

Module progress6 / 10 lessons

L01 · Potential outcomes & fundamental problem
45 min
L02 · Randomization & RCTs
52 min
L03 · A/B testing in production
38 min
L04 · Difference-in-differences
48 min
L05 · Instrumental variables
55 min
L06 · Regression discontinuity
41 min
L07 · Synthetic control methods
47 min
L08 · Lab · DiD on Western Kenya data
2h lab
L09 · Capstone 2 briefing
30 min
L10 · Module review + quiz
1h

Today's schedule

09:00

Live lecture · L07 Synthetic control

Dr. Wanjiru · Room 204 / Zoom

11:30

Mentor 1:1

Samuel Ochieng · 30 min

14:00

Study group · Capstone 2

Discord · Team MATATU

16:00

Office hours · Open

Drop-in · Zoom

Upcoming deadlines

Capstone 2 · problem brief

Fri · 3 days

L07 reading + response

Mon · 7 days

DiD lab submission

Wed · 9 days

Module 4 quiz

Fri · 12 days

Datathon 2026

Registration is open for the June datathon. Your cohort has priority entry.

Register team →

Consulting & research

Data science, on the ground — for Africa.

We embed with governments, NGOs, and enterprises across East and West Africa to build analytics capacity and deliver decision-support systems that match the local data environment.

Start a conversation → View case studies

240+

Engagements

18

Countries

7

Years

94%

Renewal rate

Clients across East & West Africa

Ministry of Health World Bank Safaricom UNECA KCB Group IFC

What we do

Three service lines.

Each engagement is scoped to your context — not to a pre-built playbook. We bring methods developed for African data environments, not imported wholesale from elsewhere.

Service 01

Analytics Diagnostics.

A structured 6-week assessment of your organization's data maturity, infrastructure, and team capability — delivered as a prioritized 12-month roadmap.

Data-source audit & quality scoring
Team capability matrix
Infrastructure gap analysis
Prioritized 12-month roadmap
Executive presentation + working session

Service 02

Embedded Analytics Teams.

We place a cross-functional team — data engineer, analyst, and scientist — inside your organisation for 3 to 12 months, building systems and internal capability simultaneously.

3–12 month engagements
Knowledge transfer from day one
Deliverables tied to business metrics
Internal team recruiting support
Optional continuation retainer

Service 03

Applied Research.

We commission, co-author, and publish policy-relevant research on data, AI, and analytics across African sectors — from mobile money to public health to agritech.

Commissioned research studies
Co-authored publications
Policy brief series
Stakeholder convenings & workshops
Open-access by default

How we work

A five-phase process.

Designed to build internal capability as much as deliver output — so you're not dependent on us once the engagement ends.

01

Scope

2-week discovery. Define the business question, data environment, and success metrics.

02

Diagnose

Audit existing data, infrastructure, and team. Identify the highest-leverage actions.

03

Build

Embedded team delivers systems, models, and dashboards in iterative two-week sprints.

04

Transfer

Intensive knowledge-transfer to internal team. Documentation, code handoff, and training.

05

Sustain

Optional retainer for monitoring, retraining, and ongoing strategic advisory.

Case studies

Work that moved the needle.

All case studies →

Ministry of Health · Kenya

Maternal-mortality risk classifier across 47 counties

A 9-month engagement to build a county-level risk-stratification model for maternal mortality. The model informs resource allocation for Community Health Volunteers across all 47 counties — and has since been cited in three MoH policy documents.

47

Counties

92%

Precision

9 mo

Engagement

Safaricom

Churn-prediction pipeline for M-PESA Business segment

Embedded a data-science team inside Safaricom's M-PESA Business division for 12 months to build a churn-prediction and intervention pipeline. Reduced churn by 18 percentage points in the pilot segment. System processes 2.4M customer records nightly.

18pp

Churn ↓

2.4M

Customers

12 mo

Engagement

World Bank · UNECA

Agricultural supply-chain analytics across East Africa

A 14-month research and analytics engagement to map agricultural supply-chain inefficiencies across six East African countries. Produced a policy brief, open-source dashboard, and contributed to three World Bank working papers.

6

Countries

14 mo

Engagement

Open

Access

KCB Group

Real-time fraud-detection network for mobile banking

Built and deployed a graph-based fraud-detection system for KCB's mobile-banking platform across 7 markets. The system processes 2M transactions per day in real time with sub-200ms detection latency, now running in production across Kenya, Rwanda, and Uganda.

2M

Tx / day

200ms

Latency

7

Markets

What clients say

Trusted by decision-makers.

"AfriCDSA refused to use off-the-shelf tools that don't fit African data environments. Everything was built for our reality. That made the difference between a report that sat on a shelf and one that changed how we allocate resources."

JK

Dr. James Kimani

Director of Data · MoH Kenya

"Within three months of the diagnostic, we had a pipeline in production that had been on the roadmap for two years. The knowledge transfer was the part that surprised us most — our team can now maintain it independently."

NB

Naomi Byiringiro

Chief Data Officer · Bank of Kigali

"They embedded a team for six months and left us with a production-grade system and an internal team that understood it completely. That's extremely rare in the consulting world."

SO

Samuel Oduya

VP Analytics · Equity Bank

Consulting practice

Seven years. 240+ engagements.

240+

Engagements

Across 18 countries on the continent.

94%

Renewal rate

Clients who extend or return for a second engagement.

18

Countries

From East Africa to West, and the diaspora.

3mo

Median time to impact

From scoping call to first system in production.

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● 5-day proposal turnaround ● Fixed-scope diagnostics available ● Open-source outputs by default

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Evidence-led careers in data, AI & analytics — for Africa.

Accredited pathways — from foundation to expert.

CertifiedData Scientist

The complete data science track

CertifiedData Analyst

From raw data to boardroom insights

Certified AI Expert

Business Analytics for Managers

Data Protection Officer

Certified Machine Learning

Data science, on the ground.

Four steps from application to certification.

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What our alumni say.

Seven years. Six countries. One mission.

Insights from our research team.

Why 78% of our CDS graduates place within six months — and what it says about the African data-skills gap.

The dashboard that ministries actually use.

Kenya DPA at five years — a practitioner's reading.

Applications close 12 May.Don't wait.

Certified Data Scientist.

An applied programme — built around real data.

What you'll be able to do.

What you'll learn.

Taught by practitioners.

Prerequisites.

✓ This is for you if…

Not a fit if…

Common questions.

Reserve your seat.

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Accredited pathways — from foundation to expert.

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Evidence-led careers

Accredited pathways.

Certified Data Scientist

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From data, to decisions — for Africa.

Started in Nairobi. Built for the continent.

Four principles that shape everything we do.

African data first.

Rigor over hype.

Practice, not theory.

Open by default.

Seven years. Six countries.

Founded in Nairobi

IABAC accreditation

Kigali campus opens

1,000th graduate

Consulting practice launches

Six countries, 4,200 graduates

Taught by practitioners.

Six campuses.

Nairobi · HQ

Kigali

Certified
Data Scientist

Certified
Data Analyst

Applications close 12 May.
Don't wait.