Data Analysis in RStudio

Raphaël Morsomme

My goal is to provide the participants with the tools necessary to clean, model and visualize their own data set in R.

This workshop is fully booked, or the deadline has passed. Please check out other workshop offerings, or contact the Methods Lab.

Date and time: 22-11-2021, 16:00-18:00, Zoom link will be provided

Full name: Raphaël Morsomme

Please add a short biography:
	100 - 150 words
A UCM alumnus, I am pursuing a Ph.D. in statistics at Duke University, USA. My academic interests lie in Bayesian statistics, Markov Chain Monte Carlo, data augmentation, stochastic processes, conformal prediction and stochastic epidemic models. I am currently working on the development of an efficient DA-MCMC algorithm to conduct exact Bayesian inference for partially observed stochastic epidemic processes. I use RStudio on a daily basis and am excited to share my knowledge of the software in this workshop.

Please provide a brief description of your workshop
Please bear in mind that the workshop description should be understandable for first-year BA students who had an introductory course on quantitative and qualitative research. Max. 300 words
My goal is to provide the participants with the tools necessary to clean, model and visualize their own data set with the statistical environment RStudio. 


What are the methodology and/or methods that the workshop will cover?
	Max. 100 words
We will cover the entire process of quantitative data analysis, from reading in the data into RStudio to fitting statistical models and producing numerical and graphical summaries of the analysis.

To participate in this workshop, students will need to prepare the following material(s):
Do students need to read material, prepare exercises, watch videos before the workshop? Please provide a list of the mandatory material(s). If students do not need any preparation in advance, please indicate so.
Students need to have the two softwares R and RStudio installed on their machine. To make sure that these are correctly installed, simply follow the first 10 minutes of any introductory tutorial online.
 
 
At the end of this workshop, students will have obtained the following skills:
Keep in mind that students will submit a research proposal at the end of May for an empirical research project that they will carry out in June. They might choose to work with the specific method or methodology that you teach in the workshop. However, some of the students might not do so and you should inform them about the general skills you teach that could be beneficial in any kind of quantitative and/or qualitative research project. Max. 100 words
The participants will be able to do the following with their data set on R:
•	Reading in their data set into RStudio
•	Cleaning it
•	Modeling it
•	Visualizing the results 

How will your workshop be offered? Please describe what online platform you will be using and how the session will be planned
e.g., 1h of live lecture on Zoom followed by 1h exercise or homework, prerecorded lecture, on/offline exercises, etc.
I will hold a 2-hour live session on Zoom during which we will go through a script describing how to analyze quantitative data with R from A to Z.

How many students can participate in your workshop?
&gt;0
Students

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Data Analysis in RStudio

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Data Analysis in RStudio

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