Building Data Visualizations Using Plotly

As datasets get larger, it becomes more important to explore and visualize this data effectively before plunging into data analysis. Visualization libraries, such as Plotly, can help us process and retain all of this information in the best way.
Course info
Rating
(10)
Level
Beginner
Updated
Aug 10, 2018
Duration
2h 12m
Table of contents
Description
Course info
Rating
(10)
Level
Beginner
Updated
Aug 10, 2018
Duration
2h 12m
Description

Data needs to be parsed and intuitively understood before you can use it for modeling and extracting insights. In this course, Building Data Visualizations Using Plotly, you will learn how to use the Plotly Python API to build a wide range of basic, intermediate, and advanced visualizations and animations. You will start off by working with Plotly in the offline as well as the online mode. You will learn to share visualizations using the Plotly Cloud and how to generate these visuals embedded within a Jupyter notebook. Next, you will see how to build basic graphs such as line and bar charts, histograms, pie charts, scatter, and box plots. Finally, you will move on to more advanced visualizations - such as Gantt charts commonly used for project management, Sankey diagrams to monitor network flow, 3D visualizations, and animations. At the end of the course, you will be comfortable using the Plotly Python API to build complex and vivid visualizations using data from the real world.

About the author
About the author

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, my name is Janani Ravi, and welcome to this course on Building Data Visualizations Using Plotly. A little about myself: I have a master's degree in electrical engineering from Stanford, and have worked at companies such as Microsoft, Google, and Flipkart. At Google, I was one of the first engineers working on real-time collaborative editing in Google Docs, and I hold four patents for its underlying technologies. I currently work on my own startup, Loonycorn, a studio for high- quality video content. In this course, you will learn how to use the Plotly Python API to build a wide range of basic, intermediate, and advanced visualizations and animations. We start off by working with Plotly in the offline, as well as the online mode. We learn to share visualizations using the Plotly cloud, and how to generate these visuals embedded within a Jupyter Notebook. We'll build basic graphs, such as line and bar charts, histograms, pie charts, scatter and box plots. We'll then see how we can visualize statistical, as well as financial data with Plotly. We'll work with bubble charts and maps, time series visualizations, candlestick charts, shapes, and funnel charts. We'll then move onto more advanced visualizations, such as Gantt charts, commonly used for project management; Sankey diagrams to monitor network flow, 3D visualizations, and animations. At the end of the course, you will be comfortable using the Plotly Python API to build complex and vivid visualizations using data from the real world.