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Overview
This Use Tableau for Your Data Science Workflow Specialization offered by Coursera in partnership with University of California Irvine 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.
What You Will Learn:
- Explain fundamental concepts behind visualizations.
- Create a Tableau dashboard implementing major tasks of analytics deployment: define business goals, prepare data, select, model, and present results.
- Setup and perform data analysis using industry-standard models.
Skills You Will Gain:
- Data Visualization
- Data Analysis
- Communication
- Data Visualization Software
Programme Structure
Courses include:
- Data Visualization Best Practices
- Data Storytelling
- Dashboarding and Deployment
Key information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
User Experience Design Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- Recommended experience: A least one year of experience in data science and/or data analytics.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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