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Overview / Introduction
Statistics, SPSS & Co – sources at Heidelberg University
E-Learning courses
More online courses and MOOC (massive open online courses) 
Courses on Youtube
Statistik-Beratungen
Publications
Useful links

Statistics

 

Overview / Introduction

Statistics can be considered an independent discipline of mathematics, dealing with data collection and analysis as well as their interpretation and presentation. On the other hand, statistics can also be seen as a branch of mathematics, especially stochastics. Statistics represents the theoretical basis of all empirical research.

Regardless of whether you need to get a first glimpse into the matter or deepen your basic knowledge of statistics for your doctoral project, we have compiled a number of resources for you to browse. You will find information on training opportunities at Heidelberg University as well as a selection of courses related to statistics and other sources of information.

 

Keywords

Statistics, stochastics, empiricism, descriptive statistics, inductive statistics, exploratory statistics, frequency distributions, means, proportions, measures of dispersion, correlation coefficients, test methods, official statistics, political arithmetic , probability theory, econometrics, decision theory, induction, inferential statistics, significance level, sampling theory, primary statistics, secondary statistics, regression and correlation analysis, statistical decision theory, forecasting methods.

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Statistics, SPSS & Co – sources at Heidelberg University

• Download SPSS: https://www.urz.uni-heidelberg.de/en/spss
• Courses on statistics by TopLab, usually offered twice per year (in German): https://www.zuv.uni-heidelberg.de/personal/entwicklung/toplab/angebote.html

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E-Learning courses

Epigeum

• Statistical Methods for Research (Master & PHD, Duration: 12.5 hours) https://www.epigeum.com/courses/research/statistical-methods-research-2/

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More online courses and MOOC (massive open online courses) 

LMU Munich (Professor Helmut Küchenhoff)

• https://videoonline.edu.lmu.de/de/wintersemester-2016-2017/8160

Studyflix – Free of charge (in German)

• Induktive Statistik
• Deskriptive Statistik

Canvas Network – Free of charge

• Statistics for everyone

Test-eye – Fee

• Applied Statistics for Healthcare Research

Online Stanford (Program Statistics) – Fee

• Medical Statistics I: Introduction to Data Analysis and Descriptive Statistics
• Medical Statistics II: Probability and Inference
• Medical Statistics III: Common Statistical Tests in Medical Research

Coursera – Free of charge

• Section: Probability & Statistics: Degree Programs, Programs, Courses and Projects
• Understanding Clinical Research: Behind the Statistics

European Molecular Biology Laboratory – Free of charge

• On demand courses & webinars mostly related to Bioinformatics and Systems Biology

Open Learning Initiative Carnegie Mellon University – Free of charge

• Probability & Statistics

Udacity – Free of charge

• Statistics
• Intro to Descriptive Statistics
• Intro to Statistics

edX – Free of charge

• Section: Statistics
• Probability and Statistics Series:
  • A Gentle Introduction to Probability
  • Random Variables – Great Expectations to Bell Curves
  • A Gentle Introduction to Statistics
  • Confidence Intervals and Hypothesis Tests
• Fundamentals of Statistics

Khan Academy – Free of charge

• Section: Statistics and Probability

Allison – Free of charge

• Probability and Chance in Mathematics

Linkedin learning

• Statistics Foundations by Eddie Davila: 
  • 1 (Free of charge) https://www.linkedin.com/learning/statistics-foundations-1
  • 2 (fee) https://www.linkedin.com/learning/statistics-foundations-2
  • 3 (fee) https://www.linkedin.com/learning/statistics-foundations-3
• Excel Statistics Essential Training: 
  • 1st part https://www.linkedin.com/learning/excel-statistics-essential-training-1-2 
  • 2nd part https://www.linkedin.com/learning/excel-statistics-essential-training-2-2

Datacamp 

• Statistical Thinking in Python: 
  • 1st part https://www.datacamp.com/courses/statistical-thinking-in-python-part-1
  • 2nd part https://www.datacamp.com/courses/statistical-thinking-in-python-part-2

MIT OCW – Free of charge

• Section: Probability & Statistics
• Introduction to Probability and Statistics
• Statistical Thinking and Data Analysis

Study.com – Free of charge

• Statistics 101: Principles of Statistics
• Application of Statistics in Daily Life
• What Is Descriptive Statistics? - Examples & Concept

Statistik-Vorlesungen, Institut für Psychlogie, Friedrich-Schiller-Universität Jena

• http://www.online-vorlesungen.de/Videos/Psychologie/Methodenlehre_Statistik_und_Wahrscheinlichkeit.htm

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Courses on Youtube

• Statistikvorlesung: 4 Teile: I https://www.youtube.com/watch?v=ycgMqSRZthk, II https://www.youtube.com/watch?v=8sPVphCtgGc, III https://www.youtube.com/watch?v=ixh0v93bYyc, IV https://www.youtube.com/watch?v=97dF-f6KbWg
• Mathematik-Vorlesungen: „Analysis 1“ und „Statistik“ (Playlist): Tobias Hell – LFU Innsbruck: https://www.youtube.com/watch?v=4IJtVa57uhk&list=PL5eolwFmTdvgvf8xsUGpAwi3BkFuOx1Ks&index=30
• Statistics 110: Probability Lecture Series (Playlist): Harvard University: https://www.youtube.com/watch?v=KbB0FjPg0mw&list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo
• Statistics full course for beginners - Statistics for Data Science: https://www.youtube.com/watch?v=74oUwKezFho
• Statistic for beginners - Statistics for Data Science: https://www.youtube.com/watch?v=hjZJIVWHnPE
• Statistics for Applications (Playlist): MIT: https://www.youtube.com/watch?v=VPZD_aij8H0&list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0

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Statistik-Beratungen (in German)

• Nachhilfe, Kurse oder Software zum  Kauf: https://www.statistik-nachhilfe.de/statistik-kurse/statistik-kurse-fuer-studenten-und-doktoranden.html

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Publications

Papers

Robert K. Hill: "Statistical reporting in the BJH: some dos and don'ts", British Journal of Haemotology, 18 November 2016, DOI: https://doi.org/10.1111/bjh.14426

This paper provides a very clear do's & dont's discussion on the basics of statistics. Recommended read for getting a first grip on the topic!

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Books (in German)

For enrolled students and doctoral candidates, the e-book versions by Springer Nature are available free of charge:

• Benno Grabinger, Fit fürs Studium – Statistik, Rheinwerk Computing, 2018 https://www.rheinwerk-verlag.de/fit-furs-studium-statistik_4391/
• Zucchini, W., Schlegel, A., Nenadic, O., Sperlich, S. / Statistik für Bachelor- und Masterstudenten, Springer, 2009 https://www.springer.com/de/book/9783540889861
• Tiemann, Veith, Einführung Statistik, Springer Gabler, 2003 https://www.springer.com/de/book/9783409124072
• Handl, Andreas, Kuhlenkasper, Torben / Einführung in die Statistik, Springer Spektrum, 2018 https://www.springer.com/de/book/9783662564394
• Rößler, Irene, Ungerer, Albrecht, Statistik für Wirtschaftswissenschaftler, Physica-Verlag Heidelberg, 2011 https://www.springer.com/de/book/9783790826357
• Werner Timischl, Angewandte Statistik, Springer Vienna, 2013 https://www.springerprofessional.de/angewandte-statistik/4428920

 

Journals

• ArXiv Cornell University: Paper of Statistics applied for different topics: Natural Sciences, Computation, Machine Learning, Statistics Theory and other: https://arxiv.org/archive/stat
• Annals of Statistics: Institute of Mathematical Statistics: https://imstat.org/journals-and-publications/annals-of-statistics/
• Annual Review of Statistics and Its Application: Annual Reviews: https://www.annualreviews.org/journal/statistics

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Useful links

• Statistics How To: https://www.statisticshowto.com/
• Statistics by Jim: https://statisticsbyjim.com/