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Tableau Tutorial for Complete Beginners 2023
Rating: 4.3 out of 5(148 ratings)
2,186 students

Tableau Tutorial for Complete Beginners 2023

From Raw Data to Compelling Visual Stories with Tableau Desktop
Created byGaelim Holland
Last updated 10/2023
English

What you'll learn

  • Load Data in Tableau
  • Data Wrangling in Tableau
  • Data Visualization in Tableau
  • Dashboards in Tableau

Course content

1 section13 lectures1h 5m total length
  • Introduction1:27

    These are the files needed for the course to build the dashboard. You can also find the files on Github: https://github.com/Gaelim/Tableau-Dashboardsv

  • Tableau Interface4:15
  • Loading Data and Union Data3:55
  • Your First Visual3:32
  • Joining Data5:48
  • Calculations5:39
  • Windrow Calculation3:38
  • Pivot Data6:36
  • Heatmap5:30
  • Dashboard UI3:06
  • Final Dashboard Preview2:03
  • Dashboard Build Part 19:36
  • Dashboard Build Part 210:10

Requirements

  • Desire to Learn

Description

Course Description:

Welcome to the Getting to Know Tableau Desktop course! Designed to transform beginners into proficient users, this course dives deep into the essentials of data visualization using Tableau Desktop. Whether you're a data enthusiast, business analyst, or someone looking to harness the power of data visualization, this course is tailor-made for you.

What You'll Learn:

  1. Introduction to Tableau Desktop:

    • Overview of Tableau architecture and components.

    • Setting up and navigating the Tableau Desktop environment.

  2. Loading Data into Tableau:

    • Importing data from various sources (Excel, SQL, cloud platforms, etc.).

    • Understanding data types and formats in Tableau.

  3. Data Preparation and Cleaning:

    • Handling missing values and outliers.

    • Filtering and sorting data to enhance your visualizations.

  4. Joining and Unifying Data:

    • Combining multiple data sources using joins (inner, left, right, and outer).

    • Unifying data with unions for seamless visualization.

  5. Basic Visualization Techniques:

    • Building foundational charts.

    • Enhancing visuals with colors, sizes, and labels.

  6. Advanced Visualization Techniques:

    • Delving into advanced charts like heatmaps

    Calculations and Data Analysis:

    • Creating calculated fields to derive new insights.

    • Using Tableau Windows functions.

    • Implementing aggregations and understanding their impact on visuals.

  7. Building Interactive Dashboards:

    • Assembling multiple visuals into a cohesive dashboard.

    • Create filters to control the dashboard user experience with ease.

    • Create a detailed background with different visual layers.

Who this course is for:

  • This course is for data analysist and data visualization enthusiast who want to learn Tableau.