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.
Use Tableau for Your Data Science Workflow Specialization
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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
5,059 already enrolled
Included with 
Get in-depth knowledge of a subject
(25 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(25 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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.
Overview
Skills you'll gain
- Financial Data
- Exploratory Data Analysis
- Geospatial Information and Technology
- Tableau Software
- Application Deployment
- Descriptive Analytics
- Interactive Data Visualization
- Data Presentation
- Data Visualization Software
- Data Analysis
- Network Analysis
- Statistical Visualization
- Data Ethics
- Data Storytelling
- Analytical Skills
- Scatter Plots
- Data Visualization
- Data Integrity
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
12 practice exercises
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
What you'll learn
Skills you'll gain
Category: Exploratory Data Analysis
Category: Data Storytelling
Category: Tableau Software
Category: Data Presentation
Category: Statistical Visualization
Category: Data Visualization Software
Category: Data Visualization
Category: Descriptive Analytics
Category: Data Analysis
What you'll learn
Skills you'll gain
Category: Interactive Data Visualization
Category: Tableau Software
Category: Data Visualization Software
Category: Data Storytelling
Category: Data Presentation
Category: Statistical Visualization
Category: Heat Maps
Category: Scatter Plots
Category: Data Integrity
Category: Data Ethics
Category: Exploratory Data Analysis
What you'll learn
Skills you'll gain
Category: Tableau Software
Category: Dashboard
Category: Time Series Analysis and Forecasting
Category: Interactive Data Visualization
Category: Network Analysis
Category: Application Deployment
Category: Data Visualization Software
Category: Geospatial Information and Technology
Category: Data Analysis
Category: Analytical Skills
Category: Data Storytelling
Category: Data Presentation
Category: Financial Data
Category: Financial 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.
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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://eu-softintimates.top/specializations/data-science-fundamentals
It is recommended that you take the courses in the order they appear in the series.
More questions
Financial aid available,