Studiji i ostali edukativni programi iz statistike (stranica u izradi!)
Programi popularizacije statističkog znanja i pismenosti u Hrvatskoj
Statistička olimpijada za srednjoškolce (Projet EU i DZS RH):
Mala škola statistike u organizaciji Državnog zavoda za statistiku Republike Hrvatske (DZS RH)
Mala škola statistike projekt je Državnog zavoda za statistiku, kojem je cilj popularizirati statistiku, prikazati je na zabavan i jednostavan način te pobuditi interes za tu izuzetno zanimljivu, ali u javnosti često percipiranu kao tešku, znanstvenu granu.
POGLEDAJ SVE: Mala škola statistike 16 videozapisa;
Posljednje ažuriranje: 22. pro 2017.
Diplomski i poslijediplomski statistički studijski programi i tečajevi
What is EMOS
The European Master in Official Statistics (EMOS) is a network of Master programmes providing post-graduate education in the area of official statistics at the European level. EMOS is a joint project of universities and data producers in Europe. After two calls for interest, the network comprises over 20 programmes in 14 countries.
EMOS was set up to strengthen the collaboration within academia and producers of official statistics and help develop professionals able to work with European official data at different levels in the fast-changing production system of the 21st century. The EMOS Master degree is based on learning outcomes which familiarise the graduates with the system of official statistics, production models, statistical methods and dissemination.
Universities offering EMOS Master degrees collaborate actively with the national statistical institutes to reduce the gap between theory and practice. Pertinent topics for Master thesis, internship in the area of official statistic, EMOS workshops and webinars offer a relevant mix of skills and knowledge for tomorrow’s official statisticians.
The 2018 EMOS webinar progamme covers 12 sessions of 60 minutes each and will be running roughly twice a month on Wednesdays 16:15–17:30 CET from January to June 2018. The webinars will offer a variety of topics with speakers from Eurostat, EMOS Master programmes, National Statistical Institutes as well as Central Banks. Registration to the following sessions are now open.
2._Poslijediplomski studij na HRVATSKOM:
—“Statističke metode za ekonomske analize i prognoziranje” (Ekonomski fakultet Sveučilišta u Zagrebu, Hrvatska)
3._Diplomski i doktorski studiji na ENGLESKOM:
- Master in Statistical Techniques
- Doctor in Statatistics and Operational Research
4._Diplomski i doktorski studij statistike u Ljubljani: Graduate and PhD in Statistics Programme in Ljubljana, Slovenia (NA ENGLESKOM)
___The University of Ljubljana: Graduate Programmes in Statistics (The University of Ljubljana offers two graduate programmes in statistics. One of them is EMOS). Master in Applied Statistics – The programme was launched in October 2013 and offers five modules:
1._Official Statistics /EMOS),
2._Economic and Business Statistics,
3._Statistics for Social Sciences,
5._Technical Statistics (more information can be found at webpage stat.uni-lj.si).
___Interdisciplinary Doctoral Programme in Statistics.
The programme was launched in October 2009 and offers seven modules:
2._Economic and Business Statistics,
3_Statistics for Social Sciences,
6._Mathematical Statistics and
5._FENStats: European Courses of Advanced Statistics ECAS (tečajevi na ENGLESKOM)
- Courses in the ECAS Programme for 2018
- Clustering and Visualization of Complex Data (Catania, Italy, May 2018)
- Statistical Disclosure Control for Official Statistics (Rennes, France, February 2018)
- Courses in the ECAS Programme for 2017
- High Dimensional Statistics, theory and practice (Fréjus, France, Ostober 2017)
- Generalized Additive Modeling, IRSDI-ECAS 1-day course (Paris-Saclay, France, October 2017)
- Big Data in Business and Industry. ECAS-ENBIS 2-days summer school (Procida, Italy, September 2017)
- The Fifteenth Course in the ECAS Programme
Statistical Analysis for Network Data (Herrsching, Germany, 2015)
CROS stands for “Portal on Collaboration inResearch and Methodology for Official Statistics”. The CROS Portal is dedicated to the collaboration between researchers and Official Statisticians in Europe and beyond. It provides a working space and tools for dissemination and information exchange for statistical projects and methodological topics.
Sampling Program for Survey Statisticians (SPSS), University of Michigan, USA – Part of the Summer Institute in Survey Research Technique
The Sampling Program for Survey Statisticians is an eight-week program consisting of three courses: a course in methods (SurvMeth 625), a course on the analysis of complex sample survey data (SurvMeth 614), and a hands-on daily workshop (SurvMeth 616.)
- SurvMeth 625-Methods of Survey Sampling
- SurvMeth 614-Analysis Methods for Complex Sample Survey Data
- SurvMeth 616-Workshop in Survey Sampling
Students participating in the Sampling Program for Survey Statisticians (SPSS) enroll in only these three courses and are considered Fellows in the Program. The methods and the analysis courses may be taken without being a Fellow. The workshop is reserved only for Sampling Program Fellows and cannot be taken alone.
Widespread demand exists for statisticians trained in both theory and practice of survey sampling. The scarcity of these skills is most critical in less developed countries, where social and economic surveys are needed to plan, assess and interpret the rapid changes of developing countries. Sample surveys are used to estimate natural resources; to estimate production and demand for goods; to assess human resources and problems; to obtain data on demography, health, and fertility; to measure community attitudes and development; and to evaluate the success of community projects and other social programs. Skilled statisticians are needed to perform key functions in applying mathematical statistics to practical social problems. Although experts from outside can and should help, the need must be met chiefly, and eventually, through proper training of local talent
What is Survey Sampling?
Survey sampling is a technical field that combines statistical theory with applications to complex practical problems. The ideal candidate holds an MA or BA degree, with high standing and special recommendations. The major field of study should have been in mathematics or statistics, perhaps combined with an applied field, such as physics, engineering, agronomy, demography, economics, or sociology. He or she works in a central statistical office, research institute, or university; has read in statistics and survey sampling; has done some practical work in statistics or survey sampling; and now wants to get advanced training that combines theory and practice. He or she is a motivated individual and is in a position to apply our sampling training to practical and important problems in his own country. The program is not designed for merely theoretical learning and academic advancement.
Leslie Kish International Fellowship
To apply for the Frank M. Andrews or Leslie Kish International Fellowship awards, complete the following by February 16, 2018:
- Summer Institute general application
- Sampling Program for Survey Statisticians application (Kish application only)
- Current curriculum vitae (CV) or resume
- Letters of recommendation. Submit at least one, preferably 2 letters of recommendation from your current employment supervisor or faculty advisor.
We will need all of the items listed above before your fellowship application will be fully considered.
-8. Tečajevi u Europi: Courses within Summer Schools in Survey Methods
University of Essex: Essex Summer School in Social Science Data Analysis and Collection
Courses cover various types of quantitative and qualitative research methods, research design, techniques for data collection and measurement as well as mathematics.
Utrecht University (Department of Methodology and Statistics) and Statistics Netherlands (CBS, Department of Methodology)
2017 Summer School on Survey Design and Analysis
August, 14-18: Survey Research: Design, Implementation and Data Processing
This course covers the foundations of modern survey methodology and analysis. Topics covered include survey design, questionnaire construction and testing, different modes of data collection (including mobile surveys, online panels and mixed mode), basic survey analysis techniques such as non-response analysis and scale construction, and special issues in official statistics.
August, 21-25: Survey Research: Statistical Analysis and Estimation
This course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for prevention and adjustment for such errors. Analysis methods are introduced using both SPSS and R. Topics include measurement error, nonresponse adjustment, analysis of incomplete data and the analysis of complex surveys that include weighting, stratification and design effects. International comparative and longitudinal surveys are included, as well as how to deal with administrative data.
September 4-8: Advanced survey design
This 4-day course in survey design takes student beyond the introductory materials, and focuses on advanced issues in survey design. It combines short 1-hour lectures with exercises on most of the topics discussed. We assume course participants are proficient in working with either R or SPSS. The course is interesting for social scientists or statisticians at the PhD level or beyond, working on academic research projects. Topics include the use of big data and paradata in surveys, mixed-mode and mixed-device surveys, analysing textual data, and advanced issues in questionnaire design.
(Leibniz Institute for the Social Sciences, Cologne) GESIS Summer School in Survey Methodology
We are happy to announce the program of the 7th GESIS Summer School in Survey Methodology that will take place from 02-24 August 2018 in Cologne. Please find a full list of courses below.
The full program including detailed course descriptions will be online in March 2018 at training.gesis.org. Subscribe to our GESIS Training Courses Newsletter to receive an e-mail notification once registration for courses is open.
- Pretesting Survey Questions
- Research Designs and Causal Inference
- Introduction to Data Analysis Using Mplus
- Introduction to Data Analysis Using Stata
- Introduction to Survey Design
- Introduction to Structural Equation Modeling
- Introduction to Data Analysis Using R
- Introduction to Multiple Imputation
- Questionnaire Design
- Web Survey Instrument Design
- Mixed Mode and Mixed Device Surveys
- Designing, Implementing, and Analyzing Longitudinal Surveys
- Sampling, Weighting, and Estimation
- Open Science (Short Course, 20-21 Aug)
Detailed course descriptions will be available in March 2018 at training.gesis.org, where you can register for the courses of your choice.
Universitat Pompeu Fabra, Barcelona
Research and Expertise Centre for Survey Methodology (RECSM)
Summer School on Survey Methodology
9._ECPR Winter School, University of Bamberg, Germany:
10._Statistics.com online courses
11._Nastavit će se! Stranica u izradi!