Excel with Python: Constructing Data Visualizations
Python 3.7
| Intermediate
- 11 Videos | 1h 55s
- Includes Assessment
- Earns a Badge
This course explores how to use Python's openpyxl library to build visualizations such as line, bar, and bubble charts in Excel. In its 11 videos, you will examine how Python and its ecosystem of libraries are fast emerging as a popular choice for easy spreadsheet automation, before learning how to create line and bar charts in Excel, and learning how to use Python to control several properties of those charts, including line weights and style, data for the reference axes, formatting, and the position of ticks on those axes. Learners will observe how to construct data visualizations in Excel using Python. This course then demonstrates common types of visualizations that are supported in Excel, and how to programmatically replicate those visualizations from within Python. Finally, learners will observe demonstrations of the use of bubble charts to display three dimensions on a two-dimensional chart as well as stock charts to represent the opening, high, low, and closing prices of stocks in a single data visualization for the financial markets.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseuse Microsoft Excel to visualize datause openpyxl to construct visualizations in Excel workbookstweak the title, formatting, and legend of a graphalter the data displayed on the axes of a graphalter the weight and line style of data series to customize the appearance of a visualization
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construct and modify bar chart visualizations in Exceluse openpyxl to build different types of bar charts programmaticallyplot financial data containing open, high, low, close, and volume information about stock pricesuse bubble charts to represent three dimensions of data in a two dimensional visualizationsummarize the key concepts in this course
IN THIS COURSE
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1.Course Overview1m 30sUP NEXT
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2.Plotting Data with Line Charts5m 25s
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3.Programmatically Constructing Line Charts5m 42s
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4.Customizing Chart Appearance4m 21s
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5.Customizing Chart Axes8m 25s
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6.Using Line Styles6m 27s
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7.Plotting Data with Bar Charts7m 18s
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8.Programmatically Constructing Bar Charts5m 48s
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9.Plotting Financial Data9m 14s
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10.Plotting Bubble Charts5m 37s
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11.Course Summary1m 10s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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