Are you the link between business and analytics? Do you want to spearhead strategic data analytics projects in your company?
Update your practical skills in the online Data Science in Business for Analytics Translators Course!
The ‘Analytics Translator’ programme consists of two modules:
- Machine Learning for Analytics Translators: this module is focused on foundational skills of statistics and machine learning.
- Data Science in Business for Analytics Translators: this module is aimed at the application of data science in a business context.
If you are new to the analytics translator role, we advise you to follow the entire programme. However, it is also possible to do only one of the modules.
Why join the Data Science in Business for Analytics Translators Course?
What will you learn?
Successful implementation of data science products and insights takes more than just the hard skills to do data science. In this course you will learn the practical skills to fulfill the vital role of the Analytics Translator.
The analytics translator has some knowledge of machine learning and data science (but not to the technical depth at which the data scientists do their work). They are uniquely able to approach the project from the viewpoint of the business.
In this module you will learn how to spot opportunities for data science techniques for a variety of business problems. You will also learn how to translate the analytics project results back to your business audience and how to facilitate a successful implementation. You will apply the material to your own business by writing a data science project plan.
We will go into the topic of business questions that can launch fruitful data science projects and we will explore the dynamics of structured communications with the pyramid principle. We will also discuss the conditions for a multi-disciplinary data science team required to guide your business through a digital transformation. Subsequently, you will learn design principles and applicability of various visualization techniques. After that we will discuss principles and considerations of EU privacy law and we will conclude the programme with a case presentation and discussion of your very own data science project proposal.
Statistics and machine learning basics are recommended for this module.
During this 6-day course you will acquire:
- Identifying business opportunities for data science solutions
- Implementation of data science projects
- Data visualization, dashboard design and storytelling with data
- Data science ethics and regulations, including GDPR
- Understand data science roles and what kind of teams are needed
- How to write a data science project plan
For whom?
This course is for business professionals who want to become the crucial link between the business and the data science and analytics teams. Both middle management, as well as people in roles like business analysts or any other role that in some way touches upon the analysis of data will profit greatly from this course. If you are not sure if your background fits the course, please contact us via
Executive-Education@uva.nl.
Relevant Industries
Banks, Insurance Firms, Financial Institutions, Tax, Institutional Investors, Accountancy, Auditing, Consultancy, Services, Government, Energy, Telecom, IT, Internet, Marketing and Communication, Event Management, Logistics, Retail, Trade, Consumer Products, Freight, Healthcare and Pharmaceutical.
Practical information
Location: Amsterdam Business School
Language: English
Certification: Participants will receive a Certificate of Attendance from the University of Amsterdam
Teaching staff
Fast Track Analytics Translator is designed by
The Analytics Academy, a collaboration of the Amsterdam Business School with ORTEC and
Amsterdam Data Science. The lecturers from The Analytics Academy specialize in offering data science and business analytics education to a wide range of professionals in open and in-company programmes. They help organizations to grow and sustain knowledge at every stage of their data-driven development.
