Data Week 2022: 21 February - 2 March
Data science is expected to have a significant impact across all sectors of the economy and society within the coming decade. Excecutives in both the public and private sectors need to understand how to engage with data and utilize it effectively.
The Hertie School's Data Week equips participants with a methodological and high-level understanding of artificial intelligence (AI) and data science technology: learning from (and making decisions based on) data, extracting knowledge from complex data and making decision based on it as well as utilising AI approaches like machine learning, deep learning and natural language processing.
The Hertie School's Data Week consists of a total of three courses on data and AI science. These courses can also be signed up for individually.
Key topics and benefits
During the Data Week you will develop key competencies and skills in data science, while exploring the following issues:
- The proper use of methods in quantitative research
- Distinguishing between properly designed and estimated data models and flawed work
- What are AI and machine learning?
- The benefits of data management and AI technologies for organisations and society
- The governance implications of AI deployment
- Generating, reading, analysing and communicating data
Programme
Three executive seminars are at the heart of the Data Week 2022:
The first part of the week (21 - 23 February) covers the use of quantitative methods that are popular in all types of social analysis from business to government. Effective managers increasingly need to understand quantitative analysis. Most critically, they must be able to discern properly-designed and -estimated models from flawed work. And when they suspect a flaw, it is of great advantage to understand whether and how likely biases would result. Participants will complete this course with an enhanced ability to know when to believe the numbers. [Learn more]
AI, machine learning and data science have been dominating the headlines in the last few years. But what do they all mean? What are these technologies and how are they linked? What benefits can organisations and businesses derive from deploying such technologies and how can they go about using and embedding them to deliver tangible benefits? What are the governance implications of AI deployment? This course (28 February - 2 March) aims to demystify these concepts and highlight direct business and societal implications. [Learn more]
This course introduces students to a core set of skills and methods needed for generating, reading, analysing and communicating data and provides them with the ability to apply them to their own projects. The course (24 - 25 February) covers concepts such as probability, inference, regression and machine learning and helps students develop an essential skill set that includes R programming. [Learn more]
These three intensive trainings will take place in sequence over a week and a half from 21 February - 2 March 2022. Participants can choose whether to take part in all three courses, in two courses or only one individual course.
How to register
Fees
5,070 euros for the full Data Week programme (1,690 euros for each individual course).
Application process
Registration is available on a first come, first served basis via the online application portal. When registering please select the executive seminars "When to trust numbers: Informed data consumption", "AI for decision makers" and/or "Data skills". Admission is subject to availability.
Application requirements
- A higher education degree
- At least three years of relevant professional experience (the average is ten years)
- A good knowledge of English
The credits earned in the three executive seminars can be transferred to the Hertie School’s Executive Certificates or the Executive Master of Public Administration. The Executive Education team is happy to answer any questions you have about tailoring an executive training package to meet your professional development needs.
