SAS/ACCESS
| コース名 | レベル | 受講形態 |
|---|---|---|
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SAS Data Management Tools and Applications
This is the second course in the Data Curation Professional, SAS Academy for Data Science program. The program is required to earn your SAS data science certification. Designed for SAS data scientists, this program covers SAS topics for data curation techniques, including big data preparation with Hadoop. In this course, you discover how to access your data from a variety of sources, create processes to manage and transform data, and ensure the reliability and consistency of your data. |
1 入門 |   |
SAS Viya Data Engineering: Getting Started 
Get started using SAS Data Engineering by spending a little time each day learning a new aspect of the offering. Over the course of a few weeks, you'll get a good idea of the skills you may need to leverage SAS' data engineering capabilities. At the end of your journey be sure to explore formal enablement opportunities to continue your quest in becoming a SAS Data Engineer. |
1 入門 | |
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SAS認定試験対策：SAS 9.4 Base Programming Performance-Based試験
本コースでは、SAS 9.4 Base Programming － Performance-Based 試験に出題される大部分のトピックを復習することができます。 「データ構造へのアクセスと作成」、「データの管理」、「レポートと出力の作成」、「エラーの処理」という4つの試験コンテンツの領域に対応しています。 本コースは、SAS認定試験「SAS®認定スペシャリスト：Base Programming Using SAS 9.4」の準備に役立ちます。
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3 中級 | |
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Efficiency Tips for Database Programming in SAS
This class teaches you how to tune your SAS programs for faster execution, especially those that access relational database tables using SAS/ACCESS interfaces or SAS Viya data connectors. |
3 中級 | |
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SAS Programming Methods to Read, Process, and Write Database Tables
This course provides training on the generic aspects of how SAS connectivity works, including independent modules covering connectivity to specific data sources and connectivity in specific computing environments. Material will continue to be added to this course over time. |
3 中級 | |
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High-Performance Data Manipulation with SAS DS2
This course teaches DS2 programming. DS2 is a fourth-generation SAS language, designed for advanced data manipulation. It blends DATA step and SQL syntax using modern programming structures and can process multiple rows of data in parallel in Base SAS and in supported massively parallel processing environments such as Hadoop, Teradata, and SAS Cloud Analytic Services (CAS). A brief introduction to SAS Viya and Cloud Analytic Services is included. The self-paced e-learning includes:
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4 上級 | |