| Description |
1 online resource (1 video file, approximately 3 hr., 59 min.) |
| Summary |
Master SAS for data analysis, data management, and regression. About This Video Master SQL procedures such as combining datasets, different join types, and select Statements, and understand the need for macro variables Learn about statistics and data analytics techniques using SAS Data Science tools Apply advanced statistical concepts such as clustering, linear regression, and decision trees to solve real-world business problems In Detail SAS is one of the most popular applications for data analysis and is used widely in enterprises across various sectors such as finance, and healthcare. It holds the highest job market share of all analytics tools available today. If you have a basic SAS programming background and want to get into Data Analysis by mastering SAS and taking your skills to a different level, then this is the right course for you! This course will help you become proficient in using SAS to handle data, build models, and analyze data so you can gain powerful insights quickly and easily. You will start with a quick refresher of basic SAS and then explore advanced statistical concepts (such as clustering and linear/logistic regression), decision trees, and time series analysis in-depth in SAS. You will also master SAS macros, PROC SQL procedures, and advanced SAS procedures so you can use SQL queries to manage and manipulate your data efficiently. By the end of this video, you will be an expert in SAS programming and will have taken your skills to the next level. Also, you will be able to handle and manage your data-related problems very easily in SAS and build statistical models |
| Notes |
Mode of access: World Wide Web |
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Packt Publishing 2020 |
| Issuing Body |
Made available through: Safari, an O'Reilly Media Company |
| Notes |
Online resource; Title from title screen (viewed May 28, 2020) |
| Subject |
Internet videos.
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Streaming video.
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streaming video.
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| Form |
Streaming video
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| Author |
Safari, an O'Reilly Media Company
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| ISBN |
1788291247 |
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9781788291248 |
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