Beginners guide
to Zindi!
Welcome to Zindi, your data science
journey starts now!
We’re so glad you’ve joined our community of data scientists in Africa and beyond, solving
the world’s most pressing business and social problems using machine learning and AI.
We know that Zindi can be a bit intimidating to new users, but don’t worry! We’re here to
help. We gathered some useful resources below to get you started on your data science journey.
How to enrol in your
first Zindi competition

Zindi Data Scientist, Amy Bray, shows you
how to enrol in a competition and make a
submission so that you can keep learning
and keep winning!

Knowledge competitions
Join your first competition! We've provided tutorials and
guidance, even for complete beginners.
Start here!
Prediction Competition: Financial Inclusion in Africa
Can you predict who in Africa is most likely to have a bank account?
Classification Competition: Fraud Detection in Electricity and
Gas Consumption
Can you classify which clients committed fraud?
Computer Vision Competition: Spot the Mask Challenge
Can you predict whether a person in an image is wearing a face mask?
Understanding Public and Private Leaderboards
Learn how test sets, private and public leaderboards, and submissions work on Zindi.
Read more
what is a hackathon
Why competitions are
important for your career

Whether you're new to machine learning
or just polishing your skills, competitions
help develop technical and soft skills to
further your career goals, by working on
real problems.

Read more
Still have unanswered
questions?
Check out
our FAQs
 
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"We recruited a valued team member who has been with the organisation for more than a year, which as we are a startup, makes him one of our longest-serving employees."
Álvaro Benito Fernández, benshi.ai, Media & Public Relations Officer.