Use Tableau for Your Data Science Workflow Specialization

Apply basic visualization techniques in Tableau.. Master visualization techniques and design strategies to present key points through graphical storytelling.

Instructor: Majed Al-Ghandour

What you'll learn

  •   Explain fundamental concepts behind visualizations.
  •   Setup and perform data analysis using industry-standard models.
  •   Create a Tableau dashboard implementing major tasks of analytics deployment: define business goals, prepare data, select, model, and present results.
  • Skills you'll gain

  •   Tableau Software
  •   Heat Maps
  •   Scatter Plots
  •   Data Visualization
  •   Network Analysis
  •   Application Deployment
  •   Descriptive Analytics
  •   Interactive Data Visualization
  •   Data Integrity
  •   Data Storytelling
  •   Data Presentation
  •   Data Ethics
  • Specialization - 3 course series

    Learners will incrementally develop a dashboard in Tableau of the S&P 500 as well as its major components and economic drivers. Course projects include the application of design principles and storytelling techniques. A survey of available visualization tools will be included as well.

    In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors.

    This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.

    This course will take you through the various parts of analytical dashboarding: from best practices for designing a dashboard, creating a unified analytical environment, to deploying and publishing visualizations. We will briefly discuss the advanced visualization techniques and you will develop an information layout of the biggest gainers and losers in the financial markets and compare those movements to the economic data as your capstone project.

    Data Storytelling

    Dashboarding and Deployment

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