Statistical education in times of Big Data Markus Zwick Federal Statistical Office Germany, Institute for Research and Development in Official Statistics New Techniques and Technologies for Statistics 14 -16 March 2017, Brussels

Statistical Education in times of Big Data Context Permanent growth of accessible digital data Arising needs for development of statistical education Data Scientists and iStatisticians wanted/needed EMOS - common solution to the new challenges Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

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

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

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 https://myintracomm-collab.ec.europa.eu/dg/ESTAT/DO.U.C.EUR/_layouts/DocIdRedir.aspx?ID=UAM7TH3CYF7M-9-45917 Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

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

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 http://www1.unece.org/stat/platform/display/bigdata/Competency+Profiles Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

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 http://www1.unece.org/stat/platform/display/bigdata/Competency+Profiles Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

Teamwork Challenges How to teach teamwork and interdisciplinary approaches? How well are the NSIs prepared to work in these teams? Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

NSIs and universities Educating the next generation of statisticians Improving the curriculum by including more aspects of new digital sources Improving the statistical literacy for the data user side Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

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

European Master of Official Statistics Concrete but not enough Network of universities and data producers A vehicle for an ongoing training inside the NSIs Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

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

Educational Strategies for NSIs New concepts for education of data producers and data users Early development of statistical literacy „Census at School“ - American Statistical Association „Briniging Data to Life in the Classroom“ – Australian Bureau of Statistics EMOS ESTP Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

Future Prospects and Solutions Permanent training concepts inside the NSIs EMOS idea: Introductory statistic courses and PhD programmes ESS degree for proffesional statisticians: „Graduate Statistician“ of the Royal Statistical Society Federal Statistical Office Germany, Institute for Research and Development in Official Statistics

Literature Ridgway J (2015) Implications of the Data Revolution for Statistics Education. International Statistical Review (2015), 0, 0, 1–22. doi:10.1111/insr.12110. United Nations Economic Commission for Europe (UNECE), Human Resources Management and Training - Compilation of Good Practices in Statistical Offices, 2013 S. Forbes, M. Camden, N. Pihama, P. Bucknall and M. Pfannkuch, Official Statistics and statistical literacy: They need each other, Statistical Journal of the IAOS, (2011) issue 27 T.H. Davenport and D.J, Patil, Data Scientist. The Sexiest Job of the 21st Century, Harvard Business Review, October 2012 UNECE High-Level Group for the Modernisation of Official Statistics, 2016

Thank you for your attention! markus.zwick@destatis.de https://de.linkedin.com/in/markus-zwick-72393213 Federal Statistical Office Germany, Institute for Research and Development in Official Statistics