Statistics with R
The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....
Scientific topics: Statistics and probability
Keywords: Biostatistics, R
Statistics with R
https://www.mygoblet.org/training-portal/materials/statistics-r
http://tess.elixir-uk.org/materials/statistics-with-r
The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge.
Topics:
Sampling theory: obtaining information about a population via sampling.
Sample characteristics (location, dispersion, skewness), estimation of the mean, standard error of the mean.
Discrete and continuous probability distributions. Central limit theorem.
Hypothesis testing. Basic principles, one- and two-sided testing, types of errors, power calculations.
"Cookbook of tests": location testing, normality, variance comparisons,
counting statistics, contingency tables, regression tests.
András Aszódi
Statistics and probability
Biostatistics, R
2016-04-21
2017-10-09
Python programming primer
The purpose of this training is to teach general programming concepts using Python as an instruction tool.
Topics:
Introduction to Python: basic principles.
Python data structures: strings, tuples, lists, dictionaries, sets.
Object-oriented programming: how to model coffee machines in Python...
Scientific topics: Software engineering
Keywords: Python biologists
Python programming primer
https://www.mygoblet.org/training-portal/materials/python-programming-primer
http://tess.elixir-uk.org/materials/python-programming-primer
The purpose of this training is to teach general programming concepts using Python as an instruction tool.
Topics:
Introduction to Python: basic principles.
Python data structures: strings, tuples, lists, dictionaries, sets.
Object-oriented programming: how to model coffee machines in Python :-).
Inheritance (base and derived classes), polymorphism.
Write your own script to convert BED files to GFF.
Command-line option processing, file I/O, error handling.
András Aszódi
Software engineering
Python biologists
2016-04-21
2017-10-09
R as a programming language
This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts.
Topics:
Introduction to R: general principles.
Data structures in R: vectors, matrices, arrays,...
R as a programming language
https://www.mygoblet.org/training-portal/materials/r-programming-language
http://tess.elixir-uk.org/materials/r-as-a-programming-language
This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts.
Topics:
Introduction to R: general principles.
Data structures in R: vectors, matrices, arrays, lists, data frames. Data import/export.
Functions in R: how to write your own functions and scripts.
Visualization in R: various plot types (built-in graphics only).
András Aszódi
R programming
2016-04-21
2017-10-09
UNIX command line and scripting
The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH.
Keywords: Awk, Bash, Unix
UNIX command line and scripting
https://www.mygoblet.org/training-portal/materials/unix-command-line-and-scripting
http://tess.elixir-uk.org/materials/unix-command-line-and-scripting
The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH.
András Aszódi
Awk, Bash, Unix
2016-04-21
2017-10-09
