5 Weeks @ 2 hrs/week at campus
@ 5 hrs/week self study
27 May 2018 Registration closes:
11 May 2018
This course is for High School Students in Grade 10 - Grade 12 who have an aptitude for solving problems and who want to be a Data Scientist when they grow up. The course is based in Woodstock Cape Town for 2 hours every Saturday for 5 weeks
Learn the basics of computer programming in Python. Learn about loops, conditionals, booleans and functions! Leave the course with the skills you need to start your lifelong coding journey which will be critical for any Data Scientist
Learn about strings, lists, arrays and data frames so that you are able to work with and manipulate data
We will teach you how to build world class dashboards so that you can quickly present insights like a pro
You will have on-site experts to help you get up to speed with the basics of Data Science
We will teach you real world skills that you can apply immediately to solve problems
Every Saturday you will come to our Saturday School to engage with our lecturers and learn about Data Science
Explore Data Science Academy
66 Albert Road, Woodstock Exchange
Bandwidth Barn, Woodtsock
If you require more details go to our Contact Page and get hold of us. Alternatively click on Apply Now below and send us a message and we will get back to you
Pop quiz time!
Data Science, at its core, is all about problem solving. So, have some fun solving these brain teasers!
This will give you an idea about the cool things you will learn when you join us at the Data Science Academy. This quiz is a one-hour aptitude test that tests your problem-solving abilities. It will form the basis of your application and will determine whether you will make it as part of the 2018 intake.
The quiz is best done on a desktop, with a pen and paper to help with the workings. You are welcome to stop and come back to the quiz at any time. You just need to come back to the site, press ‘Apply Now’ and enter the name and e-mail address you used to enter the quiz originally.
Some things to think about before you get started:
Awesome, let’s do this!