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Cohort 8 — Applications Open

Turn Data Into Your Superpower Superpower

Practical, cohort-based training in data analysis, Python, and machine learning — built for people who want real skills, not just certificates.

Diverse group of adults collaborating around laptops in a bright workshop space

Proven Outcomes

Numbers That Speak for Themselves

Across four years and eight cohorts, our graduates have landed roles at leading organisations worldwide.

94%
Job placement rate within 6 months of graduation
1,800+
Graduates trained across Africa, Asia, and Europe
3.2×
Average salary increase reported by career-changers
48 hrs
Average time from application to acceptance decision

Where Our Graduates Work

Alumni at the World's Leading Organisations

Google logo Microsoft logo Safaricom Nairobi Flutterwave Lagos Grab Singapore NHS Digital London Jumia Pan-Africa Deloitte Analytics

The DataRise Transformation

From Guesswork to Confident Data Practitioner

See what changes when you graduate from DataRise Academy.

Before DataRise

Drowning in Spreadsheets

Manual copy-paste workflows, no idea how to extract insight from data, relying on gut feel for decisions, and watching data roles pass you by because you lack the technical vocabulary.

Cluttered spreadsheet with manual data entry and no clear insights

After DataRise

Driving Decisions with ML

You build automated pipelines, deploy predictive models, communicate findings to stakeholders, and walk into interviews with a portfolio of real projects that prove your skills.

Clean automated ML pipeline dashboard with real-time predictions

Our Programmes

A Learning Path for Every Stage

Whether you are starting from zero or levelling up to ML engineering, we have a programme designed for you.

Data Literacy Foundations

A 6-week live online programme covering spreadsheet mastery, SQL basics, data storytelling, and building your first dashboard. No coding required.

  • 6 weeks, 8 hrs/week
  • Live sessions + recorded replays
  • Capstone: interactive Tableau dashboard
  • Certificate of Completion

Python for Data Analysis

A 10-week deep dive into Python, pandas, NumPy, and data visualisation with Matplotlib and Seaborn. Ideal for analysts ready to automate their workflows.

  • 10 weeks, 12 hrs/week
  • Weekly code reviews with mentors
  • Capstone: end-to-end analysis project
  • GitHub portfolio setup included

Machine Learning Bootcamp

Our flagship 16-week intensive. You will build, evaluate, and deploy supervised and unsupervised models using scikit-learn, XGBoost, and introductory deep learning with PyTorch.

  • 16 weeks, 15 hrs/week
  • 1-on-1 mentor pairing
  • Capstone: deployed ML API on cloud
  • Job placement support included

AI for Business Leaders

A 4-week executive programme for managers and founders who need to understand AI strategy, evaluate vendor solutions, and lead data-driven teams — no coding required.

  • 4 weeks, 4 hrs/week
  • Case studies from real organisations
  • AI readiness audit for your team
  • Certificate + LinkedIn badge

Bespoke Team Upskilling

Custom data and ML training programmes designed around your organisation's tools, data, and business goals. Delivered on-site or virtually for teams of 5 to 500.

  • Fully customised curriculum
  • Delivered by senior practitioners
  • Pre- and post-training skills assessment
  • Ongoing support retainer available

Why DataRise Works

Learning Designed Around Real Outcomes

We are not a video library. Every element of our programmes is engineered to get you from curious to capable as fast as possible.

Live Cohort Learning

Study alongside a tight-knit group of peers. Weekly live sessions, group problem-solving, and accountability partners keep you on track and motivated.

Expert Mentorship

Every student is paired with a practising data scientist or ML engineer for weekly 1-on-1 sessions. Real feedback on real code, not automated grading.

Project-First Curriculum

You build things from day one. Every module ends with a project you can add to your portfolio — so by graduation you have proof, not just knowledge.

Career Placement Support

CV reviews, mock interviews, recruiter introductions, and a private job board exclusive to DataRise graduates. We stay with you until you land.

Graduate Stories

Real People. Real Career Transformations.

Our graduates come from every background — teachers, accountants, nurses, and marketers — and go on to build careers in data and ML.

Fatima's Story

From Secondary School Teacher to Data Analyst at Safaricom

Fatima spent 8 years teaching mathematics before joining our Data Literacy and Python programmes back-to-back. Within 4 months of graduating she was hired as a Junior Data Analyst at Safaricom in Nairobi, doubling her previous salary.

Read Fatima's full story
Fatima Al-Hassan smiling at her desk with data charts on her screen
James Okafor working on a machine learning project at a standing desk

James's Story

Accountant Turned ML Engineer at Flutterwave

James had zero coding experience when he enrolled in our ML Bootcamp. He credits the mentor pairing and project-based curriculum for giving him the confidence to apply for — and land — an ML Engineering role at Flutterwave in Lagos.

Read James's full story

Lin's Story

Marketing Manager to AI Product Lead at Grab

Lin took our AI for Business Leaders programme to better collaborate with her engineering team. Six months later she was promoted to AI Product Lead, owning the roadmap for Grab's recommendation engine.

Read Lin's full story
Lin Wei reviewing model performance metrics on a laptop in a modern office

What Our Graduates Say

Trusted by Over 1,800 Practitioners

DataRise didn't just teach me Python — it taught me how to think like a data scientist. The mentor sessions were worth the entire programme fee on their own.
Fatima Al-Hassan smiling at her desk with data charts on her screen
Fatima Al-Hassan
Data Analyst, Safaricom
I went from not knowing what a DataFrame was to deploying a churn-prediction model in production. The cohort format kept me accountable every single week.
James Okafor working on a machine learning project at a standing desk
James Okafor
ML Engineer, Flutterwave
As a non-technical leader, I was nervous. But the AI for Leaders programme gave me exactly the vocabulary and frameworks I needed to drive our AI strategy with confidence.
Lin Wei reviewing model performance metrics on a laptop in a modern office
Lin Wei
AI Product Lead, Grab

Our Approach

Three Pillars of Effective Skills Empowerment

Everything we do is grounded in a pedagogy that has been refined across eight cohorts and 1,800 graduates.

Learn

Structured Curriculum

Expertly sequenced modules that build from fundamentals to advanced application, with no assumed prior knowledge.

Live Instruction

Real-time teaching from senior practitioners — not pre-recorded videos from 2019.

Instant Feedback Loops

Weekly code reviews and graded projects so you always know where you stand and what to fix.

Build

Portfolio Projects

Every programme includes capstone projects that solve real business problems and live on your GitHub.

Datasets from the Real World

We use actual industry datasets — e-commerce, health, finance, logistics — not toy examples.

Cloud Deployment

You learn to ship models to production on AWS or GCP, not just run notebooks locally.

Launch

Career Coaching

Dedicated career coaches help you position your story, optimise your CV, and prepare for technical interviews.

Recruiter Network

Direct introductions to 120+ hiring partners across Africa, Asia, and Europe who actively recruit DataRise graduates.

Alumni Community

Lifetime access to our Slack community of 1,800+ practitioners for peer support, job leads, and collaboration.

Meet the Instructors

Taught by Practitioners, Not Academics

Every DataRise instructor has worked in industry — building models, shipping pipelines, and solving real data problems — before stepping into the classroom.

Portrait of Amara Osei, Lead Data Science Instructor

Former Senior Data Scientist at Jumia. 9 years building recommendation and fraud-detection systems across e-commerce and fintech.

Amara Osei

Lead Data Science Instructor

Portrait of Kwame Mensah, ML Engineering Mentor

Ex-Google Brain engineer. Specialises in scalable ML infrastructure, MLOps, and helping students go from notebook to production.

Kwame Mensah

ML Engineering Mentor

Portrait of Priya Nair, AI Curriculum Director

PhD in Computational Statistics. Designed curricula for 3 leading bootcamps before joining DataRise to build our flagship ML programme from the ground up.

Priya Nair

AI Curriculum Director

Portrait of Carlos Reyes, Career Outcomes Coach

Former technical recruiter at Deloitte Analytics. Has personally placed 300+ data professionals and knows exactly what hiring managers look for.

Carlos Reyes

Career Outcomes Coach

Transparent Pricing

Invest in a Skill Set That Pays for Itself

All programmes include mentorship, career support, and lifetime alumni access. Payment plans available.

Data Foundations

$490 6-week programme
  • 6 weeks of live instruction
  • Recorded session replays
  • Capstone dashboard project
  • Certificate of Completion
  • Alumni Slack access
Enrol in Foundations

Python for Analysis

$890 10-week programme
  • 10 weeks of live instruction
  • Weekly mentor code reviews
  • End-to-end analysis capstone
  • GitHub portfolio setup
  • Certificate + LinkedIn badge
  • Alumni Slack access
Enrol in Python

AI for Leaders

$750 4-week executive programme
  • 4 weeks of live executive sessions
  • AI readiness audit for your team
  • Case study library access
  • Certificate + LinkedIn badge
  • Alumni Slack access
Enrol as a Leader

All prices in USD. Regional pricing available for applicants in Sub-Saharan Africa and South/Southeast Asia. Income share agreements available for the ML Bootcamp.

Everything You Need to Know Before Applying

Still have questions? Email us at hello@datariseacademy.com — we reply within 24 hours.

Do I need any prior coding or maths experience?

For Data Foundations and AI for Leaders, absolutely not — we start from zero. For Python for Analysis, basic spreadsheet comfort is helpful. For the ML Bootcamp, we recommend completing Python for Analysis first or passing our free skills assessment.

How much time do I need to commit each week?

It varies by programme: Foundations requires about 8 hours per week, Python for Analysis 12 hours, the ML Bootcamp 15 hours, and AI for Leaders just 4 hours. All live sessions are recorded so you can catch up if life gets in the way.

Are the programmes fully online?

Yes — all programmes are delivered live online via Zoom and our learning platform. Corporate bespoke programmes can also be delivered on-site at your organisation.

What is the job placement support exactly?

ML Bootcamp graduates receive dedicated 1-on-1 career coaching, CV and LinkedIn reviews, mock technical interviews, and direct introductions to our network of 120+ hiring partners. We track placement outcomes for 12 months post-graduation.

Is there an income share agreement (ISA) option?

Yes — for the ML Bootcamp only. Under our ISA, you pay nothing upfront and contribute 10% of your salary for 24 months once you land a role paying above $30,000/year. The total repayment is capped at 1.5× the programme fee.

How large are the cohorts?

We deliberately keep cohorts small — a maximum of 30 students per cohort — so every student gets meaningful attention from instructors and mentors. Demand is high, so early applications are strongly encouraged.

Do you offer regional or low-income pricing?

Yes. We offer discounted pricing for applicants based in Sub-Saharan Africa and South/Southeast Asia, as well as need-based scholarships for up to 10% of each cohort. Apply and indicate your situation — we review every case individually.

Apply for Cohort 8

Applications close when the cohort fills — typically 3 weeks before start date. Submit your details and we will be in touch within 48 hours.

We respect your privacy. Your information is never shared with third parties. Expect a reply within 48 hours.

Your Data Career Starts With One Application

Cohort 8 begins in September 2025. Seats are limited to 30 students. Join 1,800+ graduates who chose to invest in themselves — and landed the roles to prove it.