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 * Enter now
 * About our courses


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!

 * About our courses

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.

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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

 * Enter now

 * Data engineering


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

 * Enter now

 * Data science

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