Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.
Business Intelligence and Visual Analytics
Business Intelligence and Visual Analytics
This course is part of Database Design and Operational Business Intelligence Specialization
Instructor: Tim Carrington
3,519 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.1
(27 reviews)
Intermediate level
Recommended experience
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identify best practices for building data visualizations
Develop hands-on data visualization skills using SAS Viya
Explain advanced topics in business intelligence and data warehousing, such as cloud architecture, automation, and machine learning
Skills you'll gain
Details to know
Earn a career certificate
Add to your LinkedIn profile
Assessments
4 quizzes
Taught in English
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This course is part of the Database Design and Operational Business Intelligence Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Welcome to Module 1, Data Visualization and Visual Analytics. In this model, we will go over the need for data visualization in business reporting. We will identify the benefits of data visualization as well as differentiate between types of data visualizations. We will also overview visual analytics and the landscape of visual analytics tools. Finally, in our activity, we will describe an effective visualization and how to derive value and insight based on available data points.
What's included
6 readings1 quiz1 discussion prompt
Welcome to Module 2, Visual Analytics Basics and SAS Viya Platform. This module provides an introduction to SAS Visual Analytics and SAS Viya. Through this module, we will identify the phases and select the features of SAS Visual Analytics. In our activity, we will identify the types of reports that could be useful for specific datasets. We will also describe the import process for datasets in SAS Data studio.
What's included
3 videos1 reading1 quiz1 discussion prompt
Welcome to Module 3, Developing Advanced Visualizations with SAS Viya. Through this module, we will go over how to use SAS Viya to create data visualizations. We will identify key features and functions of SAS Visual Analytics. We will also learn key functions in SAS and be able to differentiate between their functionalities. Finally, in our activity, we will create interactive data reports and describe the value and insights that can be derived from data reports.
What's included
4 videos1 reading1 quiz1 discussion prompt
Welcome to Module 4, Advanced Business Intelligence and Data Warehousing Topics. In this final module, we will define machine learning, identify the key enablers of big data, and list the advantages of cloud-based architectures. Our course (and specialization) culminates in this module’s graded assignment. In it, we will design and implement a dashboard in SAS Visual Analytics, tell a cohesive story through data, and derive insights from interaction on a visualization dashboard. We will also practice our new skills in visual analytics by peer reviewing other’s dashboards.
What's included
4 readings1 quiz1 peer review
Instructor
Instructor ratings
4.1 (9 ratings)Offered by
Recommended if you're interested in Data Management
University of California San Diego
University of California San Diego
University of California San Diego
University of California San Diego
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Frequently asked questions
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