Data Visualization in Python

Yes, this Track is suitable for beginners, as long as they have a basic understanding of Python programming language. It covers the essential skills to create informative visualizations that can showcase your data. The track courses will introduce users to data visualization libraries from scratch.

The programming language used in this Track is Python.

Data visualization skills are fast becoming an essential skill for many industries, such as finance, education, healthcare, retail, and more. Professionals of these industries, such as data analysts, scientists, academics, bioinformaticians, software engineers, report writers, etc. can benefit a lot from this track.

By completing this Track, you can acquire the essential skills to create informative visualizations, which can showcase your data, giving you the confidence to create your own data visualizations with Python. This track will help you develop practical data visualization skills to apply across various data-driven roles, helping you tell stories with your data.

This Track usually takes 16 hours to complete as it consists of several courses that significantly upskill users.

A skill track focuses on helping users acquire a specific skill (data visualization, in this case) and develop the abilities required to use the skill in their everyday work. A career track, on the other hand, is focused on preparing users for a job or a specific career by providing courses related to the specific job or career.

The track courses included in this Track are Visualizing Geospatial Data in Python, Introduction to Data Visualization with Matplotlib, Improving Your Data Visualizations in Python, Introduction to Data Visualization with Seaborn.