In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.
This course is part of the Data Visualization with Tableau Specialization
Visual Analytics with Tableau
Offered By
About this Course
4.5
651 ratings
What you will learn
Create a chart using Tableau
Create dates using calculated fields
Customize table calculations
Customize and create dual layer maps
Skills you will gain
Visual AnalyticsMapTableau SoftwareData Visualization (DataViz)
Syllabus - What you will learn from this course
Week
1Getting Started and Charting
In this module, you will explore the topic of charting in Tableau. By now you should already be well versed in how to change colors, shapes, and sizes of charts, so we are going to practice and demonstrate that skill more. You will be able to explain what the Tableau Tooltip does and when to use it. You will be able to discuss the various guidelines for choosing the right chart for your data. You will also create a chart using Tableau.
10 videos (Total 57 min), 1 reading, 2 quizzes
10 videos
Introduction to Charting1m
Tableau Charts19m
Colors, Shapes, and Sizes4m
Dual Line Charts3m
Tableau Tooltip4m
Charting Guidelines: Bar Charts, Line Graphs, Pie Charts6m
Charting Guidelines: Maps, Scatter Plots, Gantt Charts, Bubble Charts4m
Charting Guidelines: Histograms, Bullet Charts, Heat Maps and Highlight Tables4m
Charting Guidelines: Treemaps and Box-and-Whisker Plots5m
1 reading
Save Workbooks to Tableau Public10m
1 practice exercise
Module 1: Visual Analytics with Tableau - Charting18m
Week
2Dates
This module highlights the important topic of dates within Tableau. You will be able to differentiate between discrete and continuous dates and when to use each. You will be able to use date hierarchies and use the date field to better customize your charts. You will be able to convert between discrete and continuous dates and know when and why you want to switch from one to the other. You will create dates using calculated fields.
5 videos (Total 15 min), 2 quizzes
5 videos
Discrete vs. Continuous Dates2m
Date Hierarchies3m
Converting Discrete and Continuous Dates2m
Tableau Calculated Fields4m
1 practice exercise
Module 2: Visual Analytics with Tableau - Dates24m
Week
3Table Calculations
In this module, you will focus on table calculations. You will be able to create new calculated fields to allow you to compare fields, apply aggregations, and more. You will be able use quick table calculations and create new calculated fields. You will be able to customize them and apply filters and parameters to your table calculations.
6 videos (Total 25 min), 2 quizzes
6 videos
Calculated Fields5m
Quick Table Calculations3m
Custom Table Calculations2m
Filters6m
Parameters5m
1 practice exercise
Module 3: Visual Analytics with Tableau - Table Calculations20m
Week
4Mapping
In this final module, we will go more in depths about maps within Tableau. You will be able to connect to a different data sources and customize your maps by changing colors, shapes, and sizes. You will be able to custom geocode a map and create Tableau maps with geographic data that is not recognized by Tableau. You will also be able to create dual layer maps and showcase how to overlay maps on top of one another.
7 videos (Total 17 min), 2 quizzes
7 videos
Working with Geographic Data1m
Shapes, Colors, and Sizes3m
Custom Mapping Techniques3m
Custom Geocoding3m
Dual Layer Mapping3m
Course Summary1m
1 practice exercise
Module 4: Visual Analytics with Tableau - Mapping18m
4.5
123 Reviews38%
started a new career after completing these courses
44%
got a tangible career benefit from this course
15%
got a pay increase or promotion
Top Reviews
By AG•Aug 20th 2017
Through this course learner can efficiently learn about dual layer maps, dual axis, creating calculated fields and many more. Thanks for such a great platform to learn and for great instructors.
By FB•Apr 12th 2018
Good intro to Tableau. The instructor is crystal clear. The case study is pretty good, it's very satisfactory to understand at the end what is wrong with this company.
Instructor
Suk S. Brar, M.B.A.
Lead Business ConsultantBlue Shield of California
About University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
About the Data Visualization with Tableau Specialization
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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