Contents
The course uses a combination of lectures and participatory activities to understand the principles of statistical inference. It will answer questions such as: “Why do I need statistics?”, “What’s in a p-value?”, “How many replicates do I need”, and hopefully help avoid questions such as “Are my 5 years of data useless?”

The course will cover all steps of statistical inference: data acquisition, basic statistical analyses, and basic graphs. A large portion of the course will be dedicated to practical exercises using the language Python. The course will also include instruction on the use of Python along every step of the process. At the end of the course, participants will have the opportunity to do a project with their own data (or freely available data).
Didactic Aims
Understand probability and probability distributions; the ability to perform and interpret descriptive statistics; to use and interpret basic statistical tests; to use and interpret (Ordinary Least Squares) linear regression and to understand the difference between classical and Bayesian statistics.
Didactic Elements
Practical exercises (mostly writing code), lectures, discussions
Target Group
Doctoral Researchers
Postdocs & Senior Scientists
Technical Staff
Required Prior Knowledge
Basic knowledge of Computer Science, i.e., at least one programming language (not necessarily Python) is required. No previous knowledge of statistics is required.
Organisational Info
Date: 13.05.2019 09:00 – 15.05.2019 17:00
Course Duration in Days: 3
Location: UFZ Leipzig: hall 2, KUBUS
Course Language: English
Registration Deadline: 29.04.2019
Cancellation Deadline: 17.04.2019
Participation fee for externals (net): 0.00 €
Focus on scientific exchange: Yes
Eligibility for participation: 2.07


Remarks:
Participants have to bring their own laptop with an installed Python distribution that contains the basic packages for Scientific Python, e.g., NumPy, SciPy, matplotlib and Pandas. Examples of such distributions for Windows are Anaconda and WinPython. Linux and Mac OS users may want to use the internal packet manager to install the newest version of these packages. Both versions of Python, i.e., Python2 and Python 3 may be used in the course.
Need help? Contact: josephine.mitze@ufz.de / 0341 235 4652

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