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.
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이 강좌에 대하여
Some experience in BI or database needed. Experience with at least one programming language is recommended and first two courses of specialization.
배울 내용
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
귀하가 습득할 기술
- SAS Visual Analytics
- Data Warehousing
- SAS Viya
- Data Visualization (DataViz)
- Business Intelligence
Some experience in BI or database needed. Experience with at least one programming language is recommended and first two courses of specialization.
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캘리포니아 대학교 어바인 캠퍼스
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.
강의 계획표 - 이 강좌에서 배울 내용
Data Visualization and Visual Analytics
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.
Visual Analytics Basics and SAS Viya Platform
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.
Developing Advanced Visualizations with SAS Viya
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.
Advanced Business Intelligence and Data Warehousing Topics
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.
Database Design and Operational Business Intelligence 특화 과정 정보
The goal of this specialization is to provide a comprehensive and holistic view of business intelligence and its enabling technologies, including relational databases, data warehousing, descriptive statistics, data mining, and visual analytics. Through this series of courses, you will explore relational database design, data manipulation through Extract/Transform/Load (ETL), gaining actionable insight through data analytics, data-based decision support, data visualization, and practical, hands-on experience with real-world business intelligence tools.

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