Multivariate AnalysisUnivariate Analysisvisual storytellingTableau SoftwareDashboard Design
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.
Offered By
Use Tableau for Your Data Science Workflow SpecializationUniversity of California, IrvineWhat you will 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 will gain
About this Specialization
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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.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
A least one year of experience in data science and/or data analytics.
Approximately 3 months to complete
Suggested pace of 2 hours/week
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
A least one year of experience in data science and/or data analytics.
Approximately 3 months to complete
Suggested pace of 2 hours/week
English
Subtitles: English
How the Specialization Works
Take Courses
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Hands-on Project
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 3 Courses in this Specialization
Data Visualization Best Practices
In this course, we will cover the basics of visualization and how it fits into the Data Science workflow. We will focus on the main concepts behind the purpose of visualization and the design principles for creating effective, easy-to-communicate results. You will also set up your Tableau environment, practice data loading, and perform univariate descriptive analysis of the S&P 500 stock sectors.
Data Storytelling
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.
Dashboarding and Deployment
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.
Offered by
University of California, Irvine
Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.
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