University of Wisconsin–Madison

Tag: data analysis

R and Python workshops on Campus – Fall 2024

Summary Workshop Series available on Campus on R and Python. (For more details see further below.) – Biochem – Social Science Computing Cooperative (SSCC) – UW Libraries – SSteenbock Library Workshops – Computational Biology, Ecology, & Evolution (ComBEE) Study Groups R and Python at Biochem R and Python “Clubs” were established in late 2022. The …

Environmental Health Tabular data analysis with R and Tidyverse

R and Tidyverse Tabular Data Analysis I have updated the Tabular data analysis with R and Tidyverse course that analyze environmental health data from National Health and Nutrition Examination Survey (NHANES) a survey research program conducted by the National Center for Health Statistics (NCHS) to assess the health and nutritional status of adults and children …

R and Python workshops on Campus – Winter 2024

  Summary Workshop Series available on Campus on R and Python: – Biochem – Social Science Computing Cooperative (SSCC) – UW Libraries – SSteenbock Library Workshops – Computational Biology, Ecology, & Evolution (ComBEE) Study Groups R and Python at Biochem R and Python “Clubs” were established in late 2022. The Python Club is currently closed …

Data exploration in R with Tidyverse dplyr – part 2 – 10 examples

Summary Part 1 (Sgro (2023)) : was a general overview of the dplyr package for data exploration and manipulation to summarize or extract information from tabular data. Part 2: (This post) provides worked examples while learning Rmarkdown. The 10 `dplyr` examples cover the topics in the list below. An 11th example was added to show …

Data exploration in R with Tidyverse dplyr – part 1 – overview

Summary Part 1: A general overview of the dplyr package for data exploration and manipulation to summarize or extract information. Part 2: Next post will provide worked examples.     1 Motivation The Biochemistry R Club is following the new, 2^nd edition of R for Data Science (Wickham, Çetinkaya-Rundel, and Grolemund (2023).) The Club sessions are recorded in a local …

R and Python workshops on Campus – Fall 2023

Summary Workshop Series available on Campus on R and Python: R and Python at Biochem R and Python “Clubs” were established in late 2022. The Python Club is currently closed but may be restarted in a new format. Minutes and scripts from the sessions are available online: beginners, intermediate_advanced, communication. The R-Club is continuously meeting …

R and Python workshops – Fall 2022

Summary Check the Calendar listing for data analysis workshops links and registration forms. Below are workshop dates for SSCC, Madison chapter of Software Carpentry, and Steenbock Library series. Social Science Computing Cooperative (SSCC) The table below shows only the R and Python courses. See complete listing at https://sscc.wisc.edu/sscc_jsp/training/  Title Date Time Instructor Introduction to Python …

Data Analysis Workshops Winter 2021

SUMMARY: Check calendar for Free “R” and “Python” workshops (Steenbock Library.) “Introduction to R with RStudio,” “Data Wrangling in R” (SSCC – Social Science Computing Cooperative.) “Automating Tasks with the Unix Shell,” “Data Management with SQL,” “R: introduction / visualization / reports” (Software Carpentry through UW-Madison Data Science (fees apply).)

Data Analysis Workshops Fall 2020

SUMMARY: Check calendar for Free “R” and “Python” workshops (Steenbock Library.) “Introduction to R with RStudio,” “Data Wrangling in R” (SSCC – Social Science Computing Cooperative.) “Automating Tasks with the Unix Shell,” “Data Management with SQL,” “Introduction to Docker” (Software Carpentry through UW-Madison Data Science (fees apply).)

Bioinformatics – which computer language should I learn first?

In the past years I have focused on what seemed to be the most useful bioinformatics tools for biologists that need to analyze data with software that does not have a graphical interface. The final result is that I created tutorials for bash, R and python. It seems that others agree, and I think this youtube …