Data Visualization Using Python

by CASUGOL Claim Listing

Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.

S$8

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img Duration

90 Minutes

Course Details

Python’s versatile libraries like Matplotlib and Seaborn allow for the creation of a wide range of informative visualizations, enabling better decision-making.

Moreover, interactive visualizations built with libraries like Plotly enhance user engagement and exploration of data. Python’s scripting capabilities make it ideal for automating repetitive visualization tasks.

Ultimately, by presenting data visually, Python empowers businesses and professionals to identify patterns, trends, and outliers, improving understanding and communication while driving informed, data-driven actions.

Acquire knowledge and skills on the fundamental principles of data visualization, including selecting appropriate chart types, using color effectively, and maintaining clarity and simplicity.

Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.

 

Pre-Requisite

No pre-requisite. Data Visualization Using Pythonis suitable for everyone

  • Central Branch

    1 Fullerton Road, Central

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