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Big Data Analytics

Data Visualization with Tableau

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  • Overview

    This course introduces Tableau with an emphasis on creating powerful visualizations with your data. We will connect to data sources and perform basic filtering before displaying the data. The class is a mixture of lecture and hands-on labs.

    Topics covered include:

    • Tableau Overview
    • Connecting to data sources
    • Data Visualization Plotting
    • Bar charts, pie charts
    • Heat maps, Tree maps, and Geographic maps
    • Building a Tableau dashboard
  • Who Should Take This Course


    This course is suitable for: Data engineers, analysts, architects, data scientist, software engineers, and technical managers who want a quick introduction to data visualization with Tableau.


    Basic comfort level working with new software and navigating a user-interface. Students who have experience manipulating large datasets will particularly benefit from this introductory class.

  • Why You Should Take This Course

    Upon completing this course, students will be able to:

    • Upon completing this course, students will be able to:
    • Use Tableau to connect to a variety of data sources
    • Filter data sets within Tableau
    • Work with Tableau views and worksheets
    • Build powerful visualizations with pie charts, bar charts, heat maps, etc.
    • Build a Tableau dashboard
  • Schedule
  • FAQs
    Is there a discount available for current students?

    UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.

    What is the cancellation and refund policy?

    Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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