Skip links

DATATHON

AI-Enabled Transformation: Shaping the Future Together

DataFestAfrica showcases all career professions within the data space in Africa.

If you are a Data Analyst, Data Scientist, Data Engineer, AI/ML Engineer, Low Code Developer, Student, Researcher, Data Manager, Data Consumer or Recruiter within this space, then DataFestAfrica is for YOU.



   DATA – fostering collaboration and knowledge sharing in the field of Data.

As we get close to DataFestAfrica2024, we have added more spice to the event and we will be having a Datathon (Data-Hackathon). This datathon is a solution event aimed at promoting data and AI driven solutions in the business or on a global scale across the world.

The event will consist of various data teams filled with data scientists, data engineers, and data visualization experts trying to solve a particular business problem using a stack of multiple data technologies including Microsoft Power BI, Dbt, Azure, AWS, SQL, Microsoft Fabric , Python (pandas, scikit-learn, Tensorflow, Pytorch), R, DVC, Microsoft Excel and so on.

The aim is to showcase collaboration, problem-solving and innovative solutions through analyzing and drawing conclusions from provided datasets.

The goal for the provided datasets will be aimed at building a solution to analyze business data in order to achieve maximum productivity, improve clients’ service, increase revenue and predict business outcomes.

We’re welcoming registrations from all across Africa.

About Us

Who is DCA?

Data Community Africa organizes various events, workshops, and conferences to provide opportunities for networking, skill development, and sharing of best practices. These events often feature talks and presentations by industry experts, data professionals, and thought leaders.

Learn more
About us

Who is DCA?

Data Community Africa is committed to advancing data analytics, science and engineering education and training in Africa, bridging the gap between tech, academia, and industry, and promoting data-driven innovation across various sectors. By fostering a vibrant and inclusive data community, they aim to contribute to the growth and development of data science capabilities in Africa.

Join us
Register for Datathon
Empowering Africa through Data
Prizes to be won

To be announced at the event.

How to Participate

To join the Hackathon:

Register for the Datathon: Click here to register

Don’t have a team yet? Join our Whatsapp Channel Join WhatsApp

Team Formation

1 data scientist/machine learning engineer

1 data analyst and

1 data engineer.

The team must consist of at least 1 female

Participants cannot belong to more than one team

Who’s Eligible

Data Analysts

Data Engineers

Data Scientists

Business Analysts

Machine Learning Engineers

Analytics Engineers

Any data professional

Datathon2024 Rules (Please adhere strictly to the following rules)

  • Each team can consist of a Minimum of 2 and Maximum of 3 people. However, please note that the challenge will involve data analytics, data science and data engineering. If you register as a team of 2 and you get a 3rd person later within the registration period, please contact us to help include the person.
  • Duplicate team registrations will be automatically disqualified.
  • Members of the Top 5 teams from any of the previous editions of the DFA hackathon are NOT allowed to participate together within the SAME team. Each of them must belong to different teams.
  • At least, One of your teammates MUST be able to attend the event physically.
  • At least a member of each team – most especially the individual who will be physically present at the conference MUST possess a ticket to the event. (Must have a ticket)
  • Scoring would be cumulative based on the two stages of the Hackathon. Technical and soft skills would be a key criteria in determining winners.
  • Document ALL your processes all through the Hackathon and ensure this is included in your presentation.

Start your data journey.

Ready to join us?

Join now

    DATA – fostering collaboration and knowledge sharing in the field of Data.

This website uses cookies to improve your web experience.
Explore
Drag