Table of Content ; Data Visualization Tools: Tableau vs SAS Visual Analytics ; Feature Comparison of Tableau vs SAS Visual Analytics ; Dashboard of Tableau vs SAS ; Collaboration capabilities of Tableau vs SAS
배울 내용 ; Discover how to set up Power BI Desktop for optimal HR data analysis. ; Explore various methods to connect Power BI with different data sources, including CSV and SQL databases. ; Manipulate HR data effectively using Power Query Editor, including merging, appending, and managing queries. ; Master advanced data transformation techniques such as splitting columns, replacing values, and using the Group By tool.
배울 내용 ; Master Tableau's advanced features and functions to build complex HR data models and perform data blending, aggregations, and calculations. ; Discover how to extract and analyze HR data from multiple sources and turn it into meaningful insights. ; Recognize Tableau interface components, such as worksheets, shelves, and cards, and explain how to use various Tableau tools like filters, sorting & grouping ; Develop effective data visualizations that incorporate design principles such as layout, color & labeling, to effectively communicate insights to the audience
배울 내용 ; Master the basics of data visualization using Tableau and Looker. ; Discover how to create and customize charts, graphs, and dashboards in Tableau and Looker. ; Explore advanced features in Tableau and Looker, including calculated fields, filters, and parameters. ; Learn how to connect to different data sources in Tableau and Looker.
With the help of Capterra, learn about SAS Visual Analytics - features, pricing plans, popular comparisons to other Statistical Analysis products and more.
In the world of data visualization and analytics, selecting the appropriate software is crucial for organizations looking to optimize their data-driven decision-making processes. Two prominent contenders in this space, Tableau and SAS Visual Analytics, offer distinct features and capabilities.Having used both platforms I thought it necessary to document a what I realised from using the two platforms. Since the early 2000's Tableau has gained popularity for its intuitive interface and powerful visualization tools. Its drag-and-drop functionality ...
배울 내용 ; Discover how to build interactive dashboards for financial analysis using Tableau. ; Learn to create compelling data-driven stories to effectively communicate insights to stakeholders using Tableau ; Recognize Tableau interface components, such as worksheets, shelves, and cards, and explain how to use various Tableau tools like filters, sorting & grouping ; Develop effective data visualizations that incorporate design principles such as layout, color & labeling, to effectively communicate insights to the audience
Over time, it became a standard model used in science and engineering to represent heat balance, energy flows, material flows, and since the 1990s this visual model has been used in life...
processing, analytics, dashboard development, data mining, process mining, complex event... predictive analytics, and prescriptive analytics. BI tools can handle large amounts of structured...
He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python. 더 보기 강의 평점 4.5점 평점 57점 Monica U. 2개월 전 MU Amazing course, the...