Excel with Python: Constructing Data Visualizations

Python    |    Intermediate
  • 11 videos | 1h 55s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 31 users Rating 4.2 of 31 users (31)
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

  • Discover the key concepts covered in this course
    Use microsoft excel to visualize data
    Use openpyxl to construct visualizations in excel workbooks
    Tweak the title, formatting, and legend of a graph
    Alter the data displayed on the axes of a graph
    Alter the weight and line style of data series to customize the appearance of a visualization
  • Construct and modify bar chart visualizations in excel
    Use openpyxl to build different types of bar charts programmatically
    Plot financial data containing open, high, low, close, and volume information about stock prices
    Use bubble charts to represent three dimensions of data in a two dimensional visualization
    Summarize the key concepts in this course

IN THIS COURSE

  • 1m 30s
  • 5m 25s
    Find out how to use Microsoft Excel to create visual representations of data. FREE ACCESS
  • Locked
    3.  Programmatically Constructing Line Charts
    5m 42s
    Learn how to use openpyxl to construct visualizations in Excel workbooks. FREE ACCESS
  • Locked
    4.  Customizing Chart Appearance
    4m 21s
    In this video, you will change the title, formatting, and legend of a graph. FREE ACCESS
  • Locked
    5.  Customizing Chart Axes
    8m 25s
    In this video, you will learn how to change the data displayed on the axes of a graph. FREE ACCESS
  • Locked
    6.  Using Line Styles
    6m 27s
    In this video, you will learn how to change the weight and line style of data series to customize the appearance of a visualization. FREE ACCESS
  • Locked
    7.  Plotting Data with Bar Charts
    7m 18s
    In this video, you will learn how to construct and modify bar chart visualizations in Excel. FREE ACCESS
  • Locked
    8.  Programmatically Constructing Bar Charts
    5m 48s
    Find out how to use openpyxl to build different types of bar charts. FREE ACCESS
  • Locked
    9.  Plotting Financial Data
    9m 14s
    Learn how to plot financial data containing open, high, low, close, and volume information about stock prices. FREE ACCESS
  • Locked
    10.  Plotting Bubble Charts
    5m 37s
    Learn how to use bubble charts to represent three dimensions of data in a two-dimensional visualization. FREE ACCESS
  • Locked
    11.  Course Summary
    1m 10s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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