Are you ready to kickstart your career as a business analyst? Join our 8-day hands-on Data Science Essentials course, the next edition will start on starting Thursday 3 September 2020. You will learn the key concepts of working with data and analytics techniques and grow the skills to efficiently run data science projects, answering your organisation’s key questions.
The goal of the course is to teach participants practical and hands-on skills to run data science projects. We mainly focus on the practical and ‘hard’ skills like programming, statistics and machine learning, but will pay attention to the necessary soft skills as well.
During this 8-day course you will acquire:
This course is for business professionals who perform data analyses of any form on a daily basis. The content is specifically tailored to people who seek to get more out of their existing data. A technical background or profound affinity is a prerequisite, since you will be learning a programming language and developing competences in advanced statistics. If you are not sure whether your background fits the course, please contact us.
Thursday 3 and Friday 4 September 2020
|Times:||9:00 - 17:00|
*UvA alumni get a 10% discount. Fees are VAT-exempt.
|Location:||Amsterdam Business School|
|Certification:||You will receive a Certificate of Attendance from the University of Amsterdam|
|PE hours:||56 PE hours for chartered accountants. Let us know if you require PE hours.|
Data Science Essentials is designed by The Analytics Academy, a collaboration of Amsterdam Business School, Ortec and Amsterdam Data Science. Our lecturers specialise in offering data science and business analytics education to a wide range of professionals - in open and in-company programmes. They help organisations grow and sustain knowledge at every stage of their data-driven development.
Do you have questions about this or other open programmes? Please contact:
drs. Vanessa Rijkeboer
Manager Executive Education
T: +31 (0)20 525 7146
|Credits||56 PE, 0 ECTS, 8 days|
|Language of instruction||English|
|Starts in||January, September|