Are you familiar with Python and want to learn to explore and visualize your data? This asynchronous e-learning course can be completed online, at the desired pace and in the absence of an instructor.
Do you have to handle increasingly large and more complete data sets on a daily basis? It is essential that this is done with the most suitable tools. Python, which is one of the most popular languages in the computer world today, is a perfect tool to do this. It is a language with many uses, one of which being the scientific application of data analysis or statistical analysis.
This e-learning course focuses on the good practices to use Python libraries for data analysis in a scientific context, it will prepare you to manipulate your data to exploit its full potential. You will learn to use the Pandas and Matplotlib libraries. You will develop the necessary competence to explore your data and visualise it by following a series of tasks.
This course is addressed to life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.
At the end of the e-learning course, participants should be able to:
At the end of the e-learning course, participants are expected to:
This course requires basic knowledge of Python programming. To evaluate whether you have the necessary level, complete this self-assessment.
Refer to the installation instructions here.
This course has been designed such that modules are completed sequentially. Open links in a separate browser tab.
MODULE 1: READ AND SUMMARIZE YOUR DATA
MODULE 2: SELECT AND MANIPULATE YOUR DATA
MODULE 3: VISUALLY REPRESENT YOUR DATA
You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
Please note that participation in SIB courses is subject to our general conditions.
For more information, please contact email@example.com.