Advanced Visualizations & Dashboards: Visualization Using Python
Data Visualization
| Intermediate
- 12 Videos | 37m 8s
- Includes Assessment
- Earns a Badge
In this course, learners explore approaches to building and implementing visualizations for data science, as well as plotting and graphing using Python libraries such as Matplotlib, ggplot, bokeh, and Pygal. Key concepts covered here include the importance and relevance of data visualization from the business perspective; libraries that can be used in Python to implement data visualization and how to set up a data visualization environment using Python tools and libraries; and prominent data visualization libraries that can be used with Matplotlib. Then see how to create bar charts by using ggplot in Python; how to create charts, using the bokeh and Pygal libraries in Python; and criteria that should be considered when selecting an appropriate data visualization library. Learners observe how to create interactive graphs and image files; how to plot graphs using line and markers; and how to plot multiple lines in a single graph with different line styles and markers. Finally, see how to create a line chart with Pygal, create an HTML directive to render the line chart, and render the line chart.
WHAT YOU WILL LEARN
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recognize the importance and relevance of data visualization from the business perspectivelist libraries that can be used in Python to implement data visualizationset up a data visualization environment using Python tools and librarieslist the prominent data visualization libraries that can be used with Matplotlibcreate bar charts using ggplot in Pythoncreate charts using the bokeh and Pygal libraries in Python
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recognize criteria that should be considered when selecting an appropriate data visualization librarycreate interactive graphs and image filesplot graphs using line and markersplot multiple lines in a single graph using different line styles and markerscreate a line chart with Pygal, create an HTML directive to render the line chart, and render the line chart
IN THIS COURSE
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1.Course Overview1m 43sUP NEXT
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2.Relevance of Data Visualization for Business3m 42s
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3.Libraries for Data Visualization in Python3m 13s
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4.Python Data Visualization Environment Configuration3m 57s
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5.Matplotlib Libraries for Visualization3m 22s
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6.Bar Chart Using ggplot2m 16s
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7.Bokeh and Pygal4m 33s
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8.Select Visualization Libraries3m 34s
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9.Interactive Graphs and Image Files2m 24s
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10.Plot Graphs3m 18s
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11.Multiple Lines in Graphs2m 32s
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12.Exercise: Create Line Charts with Pygal2m 34s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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