Welcome to the Readme file for the CDCS Masterclasses that wil take place Thursday 26/01/2023 and Friday 27/01/23. Below you can find all the details that you will need to get ready and attend these classes
| Day | Time | Venue | Class |
|---|---|---|---|
| Thursday | 09:00-11:00 | Teaching Studio- Appleton Tower | Finding Patterns Across Data |
| Friday | 09:30-11:30 | Digital Scholarship Centre - 6th floor of the Library | Data Science in the Wild |
| Friday | 09:30-11:30 | Lister Building LLTC_1.16 Teaching Studio | Network Analysis with Gephi |
- A Laptop
- A Mouse (non-mandatory)
- A WiFi Connection
- Gephi installed on your machine (Only if you are attending the Network Analysis with Gephi class)
For this class we are going to use R and R studio. If you are new to it do not worry we have created an easy to use link that will allow you to visualise and play around with the code for this class. Below in the Material Section.
For this class we are going to use Python and Jupyter Notebooks. If you are new to it do not worry we have created an easy to use link that will allow you to visualise and play around with the code for this class. Below in the Material Section.
For this class we are going to use Gephi. You need to download and install the software before attending the master class.
- Go to https://gephi.org
- Download the version corresponding to your operating system
- Follow the widget instruction to install it on your machine
- Execute the Software
You can find all the material that you will need for this class in this Folder (Please note that if you want to download the material on your laptop you will need to download the whole repository rather than single folders).
To attend the class you do not need to download anything because Binder is set to access both the data and the code authomatically. Just click on the banner below.
To attend the class you do not need to download anything because Binder is set to access both the data and the code authomatically. Just click on the banner below.
NB Because R Studio is not the default environment in Binder once your environment has been created you will need to substitute the /lab part of the web address with /rstudio.
If you want to download a copy of the notebook we are going to work on you need to follow these steps.
- Go back to the Jupyter interface by subsituting /rstudio with /lab
- Navigate to the file you want to download
- Right click of the mouse > download
You can find all the material that you will need for this class in this Folder (Please note that if you want to download the material on your laptop you will need to download the whole repository rather than single folders).
To attend the class you do not need to download anything because Binder is set to access both the data and the code authomatically. Just click on the banner below.
If you want to download a copy of the notebook we are going to work on you need to follow these steps.
- Navigate to the file you want to download
- Right click of the mouse > download
You can find all the material that you will need for this class in this Folder (Please note that if you want to download the material on your laptop you will need to download the whole repository rather than single folders).
You will need to download the .csv file that we are going to use during the class.
All material here collected is free to use but it is covered by a License: CC BY-NC 4.0 license
The authors of this repository are Bhargavi Ganesh, Jessica Witte, James Page, Pedro Jacobetty, and Lucia Michielin