R/Python/Reproducible Research Workshops on Campus – Winter 2020 – Biochemistry Computational Research Facility (BCRF)

Winter 2020 Programming Workshops on Campus

In the past years I have offered python 3, R, and RStudio workshops within the Biochem Department (see links below.) R is both a language and a software environment for statistical computing and graphics. R (and other languages) can be used through the amazing RStudio interface for even more performance, ease and Reproducible Research.

Below are upcoming workshops or courses that will happen on Campus this Winter/Spring 2020. Most of them are free or low nominal fee.

To facilitate registration I have also added these workshops on the BCRF CALENDAR

Software Carpentry + Reproducibility Workshop

Date And Time: BEGINS: Wed, Jan 22, 2020, 8:30 AM – ENDS: Thu, Jan 23, 2020, 4:30 PM CST

Nominal fee of $10 + $2.24 fee/tax for wisc.edu email addresses.

Registration: Event site and tickets on EventBrite

See software-carpentry.org/workshops/ and uw-madison-datascience.github.io/2020-01-22-uwmadison-swc/ for more information.

Data Science Spring Workshop

This is a new set of mini workshops offered on Campus during the Spring semester, and registration opens on Thursday, January 9.

This spring, we’re hosting individual half-day workshops on a variety of topics for you to choose from:

Jan. 29 – Automating Tasks with the Unix Shell
Feb. 12 – Introduction to Data
Mar. 11 – Introduction to SQL
Mar. 18 – Introduction to Git/GitHub
Apr. 01 – Introduction to GitHub Pages
Apr. 15 – Introduction to Docker
Apr. 29 – Automation with Make

Workshops will be held from 8:30 a.m. – noon in Room 1106, McArdle Building.

Registration: spring-2020-mini-workshops-tickets (UW-Madison price $5 + $1.94 fee)
Workshop Materials: uw-madison-datascience.github.io/2020-01-29-uwmadison-mini

SSCC (Social Science Computing Cooperative)

These courses are (again) free but regular attendance is requested and expected for longer courses. Relevant R and python courses are as follows (and tought within RStudio)

R classic and the more recent R Tidyverse use different approach and coding, the latter often used for data wrangling which is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This method can be applied in both R with Tidyverse and Python with pandas.

Title	Date	Time	Instructor
Data Wrangling in R	1/13, 1/14, 1/15, 1/16, 1/17	2:30 – 4:30	Hemken
Data Wrangling in Python Study Group	1/24, 1/31, 2/7, 2/14, 2/21, 2/28	2:30 – 4:00	Dimond

See complete list of trainings at SSCC and curriculum and materials

R for researchers (Steenbock Library)

The Steenbock R series R programming Workshops on R programming for researchers [is] intended to anyone at the university who is working with tabular research data […] and would like to learn how to automate data processing using the R programming language.

Site with schedule:github.com/maglet/uw-r-workshops (might not be offered until Fall 2020.)

Workshop content, including previous sessions, can be found here: researchguides.library.wisc.edu/r

Update: Coding Meet-up

Data Science Institute – Data Science Hub (1019 McArdle Building, 10th Floor))
Meeting times will be Tuesdays, 2:30 – 4:30 during the semester

This is not a “workshop” per se but “a weekly co-working and getting help from others sessions.”

Biochemistry

There are many R options on Campus.

I am still planning specific offerings for R or RStudio for the Winter/Spring.

My previous materials is online:

Jean-Yves Sgro
jsgro@wisc.edu
Biochemistry Computational Research Facility (bcrf)