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Coursera

Tableau for Data-Driven Decision Makers

via Coursera

Overview

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As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau® software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. In this course, you will: explore Tableau reports; analyze data to get answers and insights; sort and group data for analysis and reporting; filter views; prepare reports; and troubleshoot, collaborate, and share views and analysis. This course requires that you have access to Tableau Online through a trial Tableau account. You should also have access to Microsoft Office, particularly Excel and PowerPoint. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.

Syllabus

  • Exploring Tableau Reports
    • As a data-driven decision maker, you will receive a variety of reports that contain data, visualizations, and related information relevant to your job. If you want to make sense of the insights, arguments, and data provided, and then make recommendations and decisions, you must be able to view and explore the reports you're given.
  • Analyzing Data to Get Answers and Insights
    • Decision makers must analyze the data and visualizations they are given to find insights related to their role, and incorporate the unique perspective they have. In this lesson, you will analyze data to get answers and find insights.
  • Sorting and Grouping Data for Analysis and Reporting
    • If you need to work with large and complex data sets in Tableau®, you're going to need to adjust, organize, sort, and group data to analyze it effectively and to create meaningful visualizations. In this lesson, you will sort and group data.
  • Filtering Views
    • Having extraneous information in your reports and visualizations can detract from the insights and story you're trying to tell with the data. If you want to keep visualizations and reports focused so that you can perform better analysis, it's necessary to filter what you don't want to see so that you can focus on what you do want to see. In this lesson, you will configure worksheet filters, apply advanced filtering options, and create interactive filters.
  • Preparing Reports
    • If you need to explain your data analysis, or back up your recommendations and decisions with data that provides evidence that your decisions are sound, or give presentations of your findings, then you will need to prepare reports that are well formatted, emphasize your insights and evidence, and can be delivered in a compelling visual way. In this lesson, you will format and annotate views, emphasize data in reports, and animate visualizations for clarity.
  • Troubleshooting, Sharing, and Collaborating
    • When you're analyzing data with Tableau®, you may have issues that you need to troubleshoot, and you will often want to share your findings and visualizations with others. In this lesson, you will troubleshoot data issues, and share and collaborate with Tableau.
  • Completing the Course
    • You'll wrap things up and then validate what you've learned in this course by taking an assessment.

Taught by

Bill Rosenthal

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