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Mastering Data Visualization and Data Analytics with Tableau
Rating: 5.0 out of 5(2 ratings)
152 students

Mastering Data Visualization and Data Analytics with Tableau

Unleash the power of Tableau to craft compelling data stories and unlock insights with interactive dashboards.
Last updated 12/2024
English

What you'll learn

  • Tableau’s core features and architecture.
  • Creating and customizing workbooks, views, and dashboards.
  • Advanced visualizations like heat maps, Gantt charts, and scatter plots.
  • Effective use of filters, sorting, groups, and sets.
  • Aggregation, date, and time handling in Tableau.

Course content

6 sections60 lectures8h 56m total length
  • Introduction and Key Features11:10
  • Architecture7:26
  • Course Introduction and Objectives9:12

    Explore the fundamentals of Tableau, including data connections, terminology, and setting up dashboards. Master visualization techniques, calculations, filters, and publishing to web to share your visualizations.

  • Course views, calculations and dashboard9:02
  • Start Page and how to pin a workbook10:13
  • Workspace Basics8:45

Requirements

  • Basic understanding of data analysis concepts. No prior experience with Tableau is necessary.

Description

Course Introduction

This course provides a complete journey through Tableau, from its foundational concepts to advanced data visualization techniques. Whether you are new to Tableau or seeking to enhance your skills, this course offers step-by-step guidance to mastering the tool. Learn to create impactful dashboards, perform advanced filtering, sorting, and aggregation, and explore complex visualizations like scatter plots, heat maps, and Gantt charts. Gain hands-on experience with exercises that ensure you are job-ready in data analytics and visualization.

Section-wise Writeup

Section 1: Introducing Tableau

Learn about Tableau's key features, architecture, and workspace basics. This section sets the foundation by familiarizing you with Tableau’s interface, tools, and functionalities, including navigating the start page and pinning workbooks.

Section 2: Tableau General Concepts

Deepen your understanding of Tableau’s core concepts. This section explores dimensions and measures, toolbars, tooltips, and cards. Learn to create and manage workbooks, differentiate between Tableau file types, and develop an array of views, from nested tables to small multiples.

Section 3: Do it Yourself

Put your knowledge to the test with hands-on exercises. Build various visualizations like bar graphs, line charts, scatter plots, Gantt charts, and more. Master filters, pivots, and data splits to enrich your dashboards and presentations.

Section 4: Sorting in Tableau

Discover sorting techniques for organizing data in Tableau. Learn to sort text tables, hierarchies, and multidimensional data using manual, drag-and-drop, or automatic methods.

Section 5: Group and Sets

Understand grouping and sets in Tableau. Learn to create, edit, and analyze groups, and explore how sets can add flexibility and depth to your analyses.

Section 6: Aggregation, Action, Date, and Time

Explore aggregation techniques, understand Tableau actions, and delve into date and time functionalities. This section helps you leverage these features to enhance your visualizations and analyses.

Conclusion

By the end of this course, you will be proficient in Tableau and capable of crafting visually appealing and insightful dashboards. You'll be ready to tackle real-world data challenges with confidence and creativity.

Who this course is for:

  • Aspiring data analysts and visualization experts.
  • Professionals looking to enhance their Tableau skills.
  • Students and researchers interested in data storytelling.