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Data Analysis with Python Course

Overview

The course is free to attend for anyone at the LMB. Further details of the course are given below:

Python is a powerful and versatile programming language that can be used to analyse large and complex datasets. Whether you're collating results, performing statistical tests or investigating gene expression matrices, this course will equip you with the core skills to analyse biological data sets.

Topics include:

  • Manipulating data using the pandas library

  • Plotting figures

  • Introducing Python libraries for mathematical and statistical analyses

  • Documenting and sharing results with Jupyter Notebooks

By the end of the course, attendees should understand how to handle and investigate large datasets using Python. And although we can't cover every form of analysis in the course, the topics covered will make a good starting point for your own studies.

Registration

If there is an upcoming course scheduled, you can register here (you will need to be connected to the LMB intranet).

LMB Cell Biology JupyterHub Server Access

  1. Log in to your JupyterHub account via a Web Browser.

  2. Copy the link below into your browser and press Enter.

    http://10.91.193.124:8080/hub/user-redirect/git-pull?repo=https://github.com/StevenWingett/data-analysis-with-python-course&branch=no-answers&app=lab

The course files should now be copied from this Git repository to your JupyterHub account.

Please feel free to email Steven Wingett for further details.


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This course is intended for people who want to learn how to analyse data programmatically

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