1. Statistical education in times of Big Data
ESS Big Data Workshop Ljubljana, 14 October 2016 Markus Zwick

2. What is statistics? Mathematical Statistics Applied Statistics
Official Statistics
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

3. What are the target groups for statistical education?
Pupils, students, professionals
Data producer, data manager
Data users, analysts, decision maker
Data scientists, iStatistician
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

4. What are the instruments to teach statistics?
Traditional methods like front teaching
E-learning
Webinars
Massive Open Online Courses (MOOC)
Blended learning
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

5. Transformation of the statistician’s profile: the Data Scientist
Competences
Analytical and computing skills
Delivering quality and ethical analyses
Process management skills
Communication skills
Developing analytical expertise
To summarise, the new role of the statistical officer will more concentrate on:
• Development of statistical indicators
• Design and co-ordination of data collection with Member States
• Standardisation of processes, products and methods, with increased use of new technologies such as cloud computing
• User oriented development of statistical products
• Use of big data, open data, cloud data and data from administrative sources ("the iStatistician")
• Use of warehouse data and less tailor-made products ("warehouse quality guardian")
• Statistical audit and labelling of official statistics ("the statistical auditor")
Some of the new competencies (soft skills) needed would be marketing, narrative skills, sociability, service orientation, anticipation of user's need, ability to adapt to a changing world and corporate thinking.
More on: DM doc on statistical officers & assistants
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

6. The Data Scientist will be a team with specialized member skills
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

7. Big Data Team Level Competency
Team work
Interpersonal and communication
Delivery of results
Innovation and contextual awareness
Specialist knowledge and expertise
Statistical/IT skills
Data Analytical/ Visualisation skills
Competency profiles have been created by the UNECE High-Level Group for the Modernisation of Official Statistics
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

8. Big Data Team Leader Level Competency
Leadership and Strategic Direction
Judgement and decision-making
Management and delivery of results
Building relationships and communication
Specialist knowledge and expertise
Statistical/IT skills
Data Analytical/ Visualisation skills
Competency profiles have been created by the UNECE High-Level Group for the Modernisation of Official Statistics
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

9. Methods
New situation generates new mathematical structure and methods We have a lot of statistical methods and tools The methods which are often used will change Record linkage, statistical matching We will see more applications with less theoretical background "With enough data the numbers speak for themselves"
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

10. What has really changed in the digital revolution?
We have data !!! and we are able to use it
Survey data, open data, big data
Micro data, aggregate data, meta data
It is nessesary to teach (official) statistics with data
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

11. UNECE Sandbox
Irish Centre for High-End Computing / CSO have created a Big Data ‘sandbox’ containing data sets and tools
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

12. How to teach interdisciplinarity
within projects
inside universities
between universities
between universities and external partners
in the cloud (sandboxes)

13. Conclusions
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

14. Introductory statistics courses
Descriptive and inductive statistics
Data, Data, Data
Data Quality
Data visualisation
Privacy
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

15. Master programmes The system of Official Statistics
Production models and methods
Specific Themes of Official Statistics
Statistical Methods
Dissemination
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

16. European Master in Official Statistics
"The main goal of this project is to establish a quality label for university 'European Official Statistics' programmes that meet agreed standards in education. University programmes that are benchmarked to these standards become members of the 'European Official Statistics' network." Ex-Ante Evaluation Document for the project, May 2011.
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

17. https://ec.europa.eu/eurostat/cros/content/emos_en
Emos Learning outcomes
Elective courses
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

18. Internal training New ESTP courses:
Statistical matching and record linkage
Big Data instruments
Data visualisation
Data mining
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

19. Thank you for your attention!
Federal Statistical Office Germany, Institute for Research and Development in Official Statistics