Are you ready to kickstart your career as a business analyst? Join our new 8-day hands-on Data Science Essentials course, starting Thursday 7 November 2019. 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 7 and Friday 8 November 2019
Thursday 5 and Friday 6 December 2019
Thursday 30 and Friday 31 January 2020
Thursday 5 and Friday 6 March 2020
|Times:||9:00 to 17:00|
*UvA alumni get a 10% discount. Fees are VAT-exempt.
|Location:||Amsterdam Business School|
|Certification:||Participants receive a Certificate of Attendance from the University of Amsterdam|
|PE hours:||56 PE hours for chartered accountants|
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:
Manager Executive Education
T: +31 (0)20 525 6134
|Credits||56 PE, 0 ECTS, 8 days|
|Language of instruction||English|