In this 4-day interactive course you will learn key skills to perform as an Analytics Translator. You will play the bridging role between the technical expertise of data scientists and the operational expertise of domains such as marketing, HR, supply chain, finance. This role is crucial to ensure that the data science efforts connect flawlessly to the business needs. This unique course will prepare you for this new and valuable role in every organisation. The next edition will start on Thursday 15 April 2021.
We offer this course as an online programme in Autumn 2020. Learn more.
This course is designed for business professionals who want to become the crucial link between business and data science and analytics teams. The profile of the participants will be business professionals in finance, auditing, control, risk, marketing, HR, sales, logistics, supply chain, etc. Are you working in the business field and interested in the new role as Analytics Translator? Do you want to help your management or board to identify and prioritise business goals? To help them choose the opportunities that create the most value? In this course you will learn to fulfill the vital role of the translator between business and data science.
Thursday 15 & Friday 16 April, Thursday 20 & Friday 21 May & Friday 18 June 2021
Thursday 2 & Friday 3 September, Thursday 30 September & Friday 1 October and Thursday 4 November 2021
|Times:||09:00 - 17:00|
|Fee:||€4,150* (incl. course materials and light catering)|
*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:||28 PE hours for chartered accountants. Let us know if you require PE hours.|
This course is organised by The Analytics Academy and will be taught by university lecturers and experienced consultants. The consultants have been conducting and implementing data science projects for multiple years in a wide range of businesses. They will share their best practices with you and warn you about the pitfalls of data science projects. The academic rigor with regards to research methods and statistics, vital for effective data science projects, will be taught by experienced academic lecturers from the University of Amsterdam.
Do you have questions about this or our other open programmes? Please contact:
Jannice Daha LLM
Manager Executive Education
T: +31 (0)20 525 6134
|Vorm||Deeltijd , kortlopend , module|
|Studielast||28 PE, 0 EC, 5 dagen|
|Start||April , september|