3 Months @ 10 hrs/week
10 hrs/week self study
This course is for busy Executives who require a succinct one day overview of what exactly Big Data and Analytics really means and how it will affect them, their teams and organisation over the next decade
Learn what exactly the buzzwords are and mean: from Big Data, to AI, to Deep Learning, to Artificial General Intelligence, to Machine Learning, to Hadoop Clusters
Learn how machines can now see, talk, listen and hear better than humans ... and how this will radically change how, why and when people work in the future
See how organisations need to transform to Insights based organisations that are run by Data Scientists who can make decisions quickly and intelligently with the help of Big Data, machines and IoT
We have lecturers who have worked as Senior Executives and Academics in the field and have vast experience to draw from
Learn from real-life case studies to understand exactly what Big Data and Analytics actually is
Our lecturers will take a tour of the possible futures that may emerge as our world is transformed by AI
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 2019 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!