This course is part of the Data Visualization with Tableau Specialization

4.6
stars
1,735 ratings

Suk S. Brar, M.B.A.

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Offered By

Data Visualization with Tableau SpecializationUniversity of California, Davis

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 3 of 5 in the

Data Visualization with Tableau Specialization

Beginner Level

Must be comfortable working with data and datasets.

Approx. 9 hours to complete

English

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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 Analytics
Map
Tableau Software
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 5 in the

Data Visualization with Tableau Specialization

Beginner Level

Must be comfortable working with data and datasets.

Approx. 9 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.54/5 (173 Ratings)

Suk S. Brar, M.B.A.

Lead Business Consultant

Blue Shield of California

64,051 Learners

2 Courses

Offered by

University of California, Davis

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Syllabus - What you will learn from this course

Content Rating88%(3,073 ratings)

Week1

Week 1

3 hours to complete

Getting 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.

3 hours to complete

10 videos (Total 57 min), 2 readings, 2 quizzes

10 videos

Visual Analytics with Tableau Introduction2mIntroduction to Charting1mTableau Charts19mColors, Shapes, and Sizes4mDual Line Charts3mTableau Tooltip4mCharting Guidelines: Bar Charts, Line Graphs, Pie Charts6mCharting Guidelines: Maps, Scatter Plots, Gantt Charts, Bubble Charts4mCharting Guidelines: Histograms, Bullet Charts, Heat Maps and Highlight Tables4mCharting Guidelines: Treemaps and Box-and-Whisker Plots5m

2 readings

A Note from UC Davis10mSave Workbooks to Tableau Public10m

1 practice exercise

Module 1: Visual Analytics with Tableau - Charting30m

Week2

Week 2

3 hours to complete

Dates

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.

3 hours to complete

5 videos (Total 15 min)

Week3

Week 3

2 hours to complete

Table Calculations

2 hours to complete

6 videos (Total 25 min)

Week4

Week 4

2 hours to complete

Mapping

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.

2 hours to complete

7 videos (Total 17 min)

Reviews

4.6

344 reviews

5 stars
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4 stars
23.82%
3 stars
5.75%
2 stars
1.55%
1 star
1.03%

TOP REVIEWS FROM VISUAL ANALYTICS WITH TABLEAU

by SWJan 2, 2018

So Far, This is a Very Good course design. However, if it is possible, more practice assignment will be much better for learning and improving the skill.

by SSMay 17, 2017

Good course, correct level of detail but need to provide grading rubrics for peer graded submissions as part of the directions rather than finding out what is needed after submitting.

by LGJan 2, 2018

I was not able to put together the formula and that it cause me a problem submitting the week assignment.

Very frustrating and do not see any help at all.

by NSOct 29, 2020

Assignments were just a mere replication of visuals. A good mix of self-created visualizations would be good for learners. There is too little information on the replication assignments as well.

View all reviews

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?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Visual Analytics with Tableau

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