Tableau 2020 Training for Data Science & Business Analytics

Tableau 2020 Training for Data Science & Business Analytics

Learn to visualize data and present stories in Tableau 2020. Several hands on practice exercises in Tableau included!

What you’ll learn

  • Analyze and visualize data using Tableau 2020
  • Install Tableau Desktop 2020
  • Connect Tableau to a number of data source types such as Microsoft Excel, comma separated values, google sheets etc
  • Learn to navigate through Tableau working environment
  • Understand common data types used in Tableau, and terminologies such as measures and dimensions
  • Create line charts in Tableau
  • Create bar charts in Tableau
  • Create area charts in Tableau
  • Create treemaps in Tableau
  • Create packed bubbles in Tableau
  • Create cross-tabs and highlight tables in Tableau
  • Create pie charts in Tableau
  • Create Maps in Tableau
  • Learn to create histogram and boxplots in Tableau
  • Use additional details to pack information in your charts using color, size, and marks etc
  • Create combined axis and dual axis charts in Tableau and convey more information in a single chart
  • Format your Tableau charts to make your charts stand out
  • Add interactive elements such as filters, tool tips, and parameters to create highly interactive charts and dashboards
  • Learn Groups and Sets in Tableau
  • Create interactive Tableau dashboards
  • Create Tableau stories
  • Create Tableau animated charts
  • Create calculated fields in Tableau
  • Create table calculations in Tableau
  • Create Level of Detail (LOD) expressions in Tableau
  • Add action elements using quick action filters and action elements to your Tableau dashboards
  • Prepare datasets using renaming field names, creating aliases, splitting fields etc in Tableau
  • Prepare data tables using union, joins, blends and data modelling and bring data in to Tableau environment
  • Export and distribute your Tableau workbook to your audience

Requirements

  • Basic knowledge of computers
  • Willingness to learn
  • Curiosity

Who this course is for:

  • Beginners interested in learning data analysis and data visualization
  • Anyone interested in data analysis
  • Anyone who works with data and wants to improve data visualization skills

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