Registrations are now open for the 2nd edition of the course on "Data Manipulation and Visualization in Python,". This course aims to enhance participants' skills in data visualization for science-oriented applications using Python.
Dates: 16th-19th October 2023
Format: Online to facilitate international participation
Course website: https://www.physalia-courses.org/courses-workshops/course38/
In this course, we will guide participants through the process of organizing a data visualization project, from initial data cleanup to creating impactful visualizations. We will cover best practices and explore various plot types, including line and bar charts, maps, networks, and subplots, through practical exercises.
This course is designed for students, researchers, and professionals who wish to enhance their data visualization skills. While the focus is on science-oriented applications, individuals from any field working with data can benefit from this course. Some familiarity with Python is required, but participants are not expected to be experts.
By the end of the course, participants will have gained:
- An understanding of best practices for organizing data visualization projects
- Knowledge of common pitfalls to avoid when presenting data
- Proficiency in data manipulation using popular libraries such as NumPy and Pandas
- Skills to implement a wide range of chart types, including both common and more specialized ones
- Ability to create simple interactive charts
- Familiarity with the Seaborn library
- Adaptation of course examples to real-world applications
Full list of our courses and Workshops: https://www.physalia-courses.org/courses-workshops/
Should you have any questions, please feel free to contact us at firstname.lastname@example.org.