Data Visualization with Plotly Express
7217 ya inscrito
7217 ya inscrito
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
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por AR8 de abr. de 2020
thanks dude!I was struggling with this really badly..it will help me while working with kaggle notebooks and competitions..:)
por NP1 de jun. de 2020
The content was excellent and inspiring me to try Plotly express in the other projects that I am working on too.
por SR7 de nov. de 2020
Everything is clearly explained, It's delightful to hear and follow the steps by Instructor. Loved it !!
por LF10 de nov. de 2020
It's amazing. This is the first time I see data animation. It's really interesting.