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Data Visualization and Analytics with Tableau
Rating: 4.4 out of 5(28 ratings)
123 students

Data Visualization and Analytics with Tableau

Create powerful Tableau visualization with hands-on exercises - Master Tableau for Data Visualization and Analytics
Created byJason Zhang
Last updated 6/2024
English

What you'll learn

  • Learn the fundamentals of Tableau workspace
  • Create bar charts, pie charts, histogram, geographical maps and more
  • Use sort, filter, group, set in Tableau to analyze views
  • Create calculated fields with string/date/maths/logical functions
  • Use parameters to create dynamic dashboards
  • Combine multiple data sources using joins, blends, unions and relationships
  • Learn to style and format the dashboards to highlight the key information
  • Build professional interactive dashboards to effectively communicate data insights

Course content

6 sections • 56 lectures • 5h 51m total length

  • Course Objective and Course Agenda2:49

    In today’s data driven business world, the ability to characterise and communicate practical implications of quantitative analyse to any stakeholders become a crucial skill to master at the workplace.

    In this course, you will learn how to become a master at communicating business relevant implications of data analyses using Tableau. The course investigates visual analytics and related concepts with tableau through the completion of real-world case studies.

  • Introduction to Business Intelligence5:35

    What is BI?

    Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions.


  • Introduction to Tableau8:22

    What is Tableau?

    Tableau is an interactive visualization software, designed for the individual but scaled for the enterprise.

    From connection through collaboration, Tableau provides secure and flexible end-to-end analytics platform.

  • Tableau Installation3:36

    Tableau Desktop and Tableau Prep is supported in both Windows and MacOS environments.

  • Data Connection in Tableau7:14

    Before you can build a view and analyze your data, you must first connect Tableau to your data. Tableau supports connecting to a wide variety of data, stored in a variety of places.

  • Extract vs Live Datasource3:20
  • Live Connection Demo1:46
  • Extract Connection Demo2:56
  • Tableau Workspace17:54
  • Tableau Basics

Requirements

  • Interest in Data Visualization/Business Intelligence
  • You should have access to a computer running Mac or Windows. The course will show you how to download and install the Tableau software.

Description

In today’s data-driven business world, the ability to characterize and communicate practical implications of quantitative analyses to any stakeholders becomes a crucial skill to master at the workplace.

Get Started Today

In this course, you will learn how to become a master at communicating business-relevant implications of data analyses using Tableau. This course investigates visual analytics and related concepts with Tableau through the completion of real-world case studies.

Course Highlights:

  • Business intelligence overview:

    • what is business intelligence?

    • why it is important to business?

    • what is tableau? why Tableau?

  • Tableau Workspace:

    • navigate the Tableau interface

    • high level overview of Tableau functionality

  • Data Connection/Types:

    • connect to data file/database

    • build table relationships

    • make data extraction

  • Create Tables, Charts, Graphs:

    • detailed steps to create various charts, maps, scatterplots, waterfall etc. as dashboard components

  • Organize Data with Sort, Filter, Group & Set

  • Field Calculation, Table Calculation, Level of Details (LOD)

    • field calculation: mathematical, string, date, logical operations

    • table calculation: aggregation, percentage, difference, running total etc.

    • LOD: FIX, EXCLUDE, INCLUDE

  • Parameters and dynamic calculated fields:

    • walk through the different techniques to build interactivity using parameters

  • Data source Joins, Blending, Unions

  • Dashboard Design Principles and checklist:

    • main principles of dashboarding from design prospective

  • Tableau Dashboard & Story: combine the components into a compelling data stories

  • Implement efficiency tips and tricks

  • Build dashboards and make impacts with two real-world examples

Hands-on Projects

The final part of the course has two hands-on project where you use Tableau to create your own interactive visualization dashboards. Save your project to the Tableau Public website and you'll have a project you can show potential employers.

  • COVID-19 tracking project

  • Boeing Market Outlook 2020-2039 project

Who this course is for:

  • You should take this course if want to learn Tableau completely from scratch
  • You should take this course if you know some Tableau skills but want to get better
  • You should take this course if you want to build skills in data visualization and business intelligence

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