Data Visualization Using Python


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  • Duration: 90 Minutes
  • Certification: Participants will receive a Certificate of Completion upon successfully completing the course
  • Who Should Attend: Data Analysts, Data Scientists, Business Analysts, Data Engineers, Researchers, Key Decision Makers, and Anyone interested in exploring data visualization to make better decisions.

Course Objective

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.


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


No Examination

Course Outline

Topics Covered

  • Introduction to Data Visualization
  • Different Types of Data and Their Visual Representation
  • Python Data Visualization Libraries e.g. Matplotlib, Seaborn, Plotly, Bokeh
  • Basic Visualization Techniques
  • Customization and Styling for Visualization
  • Data Preparation for Visualization
  • Data Exploration and Insights
  • Data Storytelling

Data Visualization Using Python involves rigorous usage of real-time case studies, hands-on exercises and group discussion

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  • STEP FIVE: In the Checkout page, complete the Billing Details and click on Place Order

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Certificate Verification

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.

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