Will I earn university credit for completing the Specialization?

You will receive a certificate but university credit is not awarded.

What will I be able to do upon completing the Specialization?

This specialization can start you on a successful career path as a data analyst, data scientist, data science manager, or data engineer.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Use Tableau for Your Data Science Workflow Specialization

Use Tableau for Your Data Science Workflow Specialization

Apply basic visualization techniques in Tableau.. Master visualization techniques and design strategies to present key points through graphical storytelling.

Instructor: Majed Al-Ghandour

Included with Coursera Plus

Learn more

3 course series

Get in-depth knowledge of a subject

4.1

(25 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

4.1

(25 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explain fundamental concepts behind visualizations.
Setup and perform data analysis using industry-standard models.
Create a Tableau dashboard implementing major tasks of analytics deployment: define business goals, prepare data, select, model, and present results.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

12 practice exercises

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from University of California, Irvine

Specialization - 3 course series

This specialization covers the foundations of visualization in the context of the data science workflow. Through the application of interactive visual analytics, students will learn how to extract structure from historical data and present key points through graphical storytelling. Additional topics include data manipulation, visualization foundations, audience identification, ethical considerations, dashboard creation, and report generation. Demonstrations of the basic visualization techniques used in Tableau will be included with a hands-on project.

Applied Learning Project

Learners will incrementally develop a dashboard in Tableau of the S&P 500 as well as its major components and economic drivers. Course projects include the application of design principles and storytelling techniques. A survey of available visualization tools will be included as well.

Data Visualization Best Practices

Course 18 hours

What you'll learn

Skills you'll gain

Data Storytelling, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Statistical Visualization, Tableau Software, Data Visualization, Descriptive Analytics, and Data Analysis

Data Storytelling

Course 28 hours

What you'll learn

This course will cover the more complex concepts that become involved when working beyond simple datasets. Exploring the connection between visual aspects and data understanding, we will examine how those concepts work together through data storytelling. After reviewing key points on how to avoid problematic visualizations and data misrepresentation, you will continue working in Tableau performing multivariate descriptive analysis of the S&P 500 stock sectors.

Skills you'll gain

Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Presentation, Scatter Plots, Data Ethics, Heat Maps, Statistical Visualization, Data Integrity, and Exploratory Data Analysis

Dashboarding and Deployment

Course 39 hours

What you'll learn

This course will take you through the various parts of analytical dashboarding: from best practices for designing a dashboard, creating a unified analytical environment, to deploying and publishing visualizations. We will briefly discuss the advanced visualization techniques and you will develop an information layout of the biggest gainers and losers in the financial markets and compare those movements to the economic data as your capstone project.

Skills you'll gain

Dashboard, Tableau Software, Data Visualization Software, Geospatial Information and Technology, Interactive Data Visualization, Network Analysis, Time Series Analysis and Forecasting, Application Deployment, Data Presentation, Financial Data, Data Storytelling, Analytical Skills, Financial Analysis, and Data Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Majed Al-Ghandour

University of California, Irvine

3 Courses11,282 learners

Offered by

University of California, Irvine

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Frequently asked questions

9 weeks

A least one year of experience in data science and/or data analytics. Students who do not have the recommended experience should review the Fundamentals of Data Science Specialization: https://www.coursera.org/specializations/data-science-fundamentals

It is recommended that you take the courses in the order they appear in the series.

Use Tableau for Your Data Science Workflow Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Advance your subject-matter expertise