Data analysis & visualisation in R for biologists ONLINE
Wednesday, 18 May 2022 to Wednesday, 25 May 2022, 9.30am - 4pm
This interactive online MSD Skills training course is aimed at MSD postgraduate research students and staff with some programming experience in R who want to expand their skills in order to create reproducible analysis workflows and publication quality figures from biological data. In order to register to this course you are required to complete a short pre-course quiz on Canvas using your SSO login (please see How it will work section).
You are required to attend three sessions:
18 May @ 9:30 - 13:00
23 May @ 09:30 - 13:00
25 May @ 09:30 - 13.00
By the end of this module, you will be able to perform end-to-end analysis of your own data including statistics and advanced visualization using the third-party packages, which extend the functionality of the base R.
Please make sure you read all of the sections below relating to how the course will work, and the survey and attendance certificate policy.
By the end of this course, you will learn:
how to find and install the third-party packages relevant for your analysis
how to perform advanced data wrangling
how to create your own functions
how to create graphs and figures for publication
how to visualise more complex data and relationships within the data
The course is structured into 3 half-day sessions as follows:
Session 1 - filtering, merging, grouping, aggregating data - Introduction to common packages such as dplyr and data.table
Session 2 – visualising data and statistical information with ggplot2 and its extensions
Session 3 – advanced visualization and plots for high-dimensional data (heatmaps, PCA), interactive plots with Shiny/Plotly
HOW IT WILL WORK
In order to register to this course you are required to complete a short pre-course quiz on Canvas using your SSO login. Please click on Canvas link. This quiz is intended to assess your knowledge of basic R concepts to make sure you are at the right level to attend this course. Upon the successful completion of the quiz you will redirected to the course registration page.
For each session, you will be sent a link along with joining instructions. Each 3-hour session would consist of a mix of teaching and hands-on training, with a feedback from the tutors and Q&A at the end. You are expected to interact with the instructors and other course participants during the sessions for problem-solving and assignments. The code and worksheets for this course will become available at the first session and can be accessed anytime during and after the course.
WHAT YOU WILL NEED
• R (version 4.0 or higher) which you can download using this link.
• Rstudio (Desktop free version), which you can download, using this link: https://rstudio.com/products/rstudio/download/
Any installation questions could be addressed to email@example.com
It is highly recommended to have an access to the microphone and ideally a second screen during the sessions.
ATTENDANCE CERTIFICATE ON SURVEY COMPLETION
In order to receive a certificate of attendance, participation in all three sessions is mandatory. Once you have completed the course, you will be sent an email with a link to the overall course feedback survey. When you have filled in and submitted the survey, you will be sent an email with a link to your attendance certificate. Survey results are downloaded and stored anonymously.
Where there is no cost in the shopping trolley, no deposit is required. However, more than two consecutive non-attendances or late cancellations without good reason will be logged and may mean you cannot attend any further MSD training that term. Please refer to our Terms and Conditions for further information.