Data Visualization with Plotly Express
Welcome to this project-based course on Data Visualization with Plotly Express. In this project, you will create quick and interactive data visualizations with Plotly Express: a high-level data visualization library in Python inspired by Seaborn and ggplot2. You will explore the various features of the in-built Gapminder dataset, and produce interactive, publication-quality graphs to augment analysis. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Plotly Express pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Interactive Data Visualization
由 LF 提供2020年11月10日
It's amazing. This is the first time I see data animation. It's really interesting.
由 HK 提供2020年11月3日
Awesome experience i felt in 1 hour. Lots of things i have learnt from Plotly.
由 NP 提供2020年6月1日
The content was excellent and inspiring me to try Plotly express in the other projects that I am working on too.
由 PP 提供2020年11月1日
nice session. learned something about plotly library .