Win a data science or data engineering course entry worth R65,000!
For two lucky winners, ExploreAI will fully cover the tuition costs for one of our flagship courses in data science or data engineering, full-time or part-time. Winners choose which course they'd like to do!
The competition closes at midnight on the 2nd of July, 2023. Enter using the form, and then apply for the course you want to do here.
Please note: Entering this competition will not improve your chances of being selected for either Scholarship or Accelerator income share agreement. These prizes are bursaries for our self-funded courses. That means full tuition will be covered, but there is no stipend or internship included – just the coursework and the qualification. If you already applied for a self-funded course before the competition opened, we can't allocate your +3 entries on the competition app. But when the competition closes, we'll cross-reference the competition entries with all the people who applied for a self-funded course, and allocate the additional entries.
Our courses
Lucky winners can choose their prize from one of these courses. Courses are offered full-time, which requires 50 hours per week, and part-time, which requires 15 hours per week.
Data science
Become an expert practitioner of data visualisation, Python programming, and machine learning in this hands-on qualification in data science.
Key areas of focus
Python • Jupyter Notebooks • data visualisation • MySQL • Power BI • AWS • supervised and unsupervised learning
Become a
- Data scientist
- Machine learning engineer
- Data analyst
- BI developer
Our courses
Lucky winners can choose their prize from one of these courses. Courses are offered full-time, which requires 50 hours per week, and part-time, which requires 15 hours per week.
Data engineering
Become an expert practitioner of Python programming, SQL and database technology, and the ins and outs of big data in this hands-on qualification in data engineering.
Key areas of focus
Python • Jupyter Notebooks • MySQL • AWS • Apache Spark • data lakes • data pipelines
Become a
- Data engineer
- Backend engineer
- Database administrator
- Data scientist