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This course is part of the SAS Enterprise Guide and SAS Office Analytics Learning Subscription.
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SAS® Enterprise Guide® 1: Querying and Reporting
EG1 : EG182
This course is for users who do not have SAS programming experience but need to access, manage, and summarize data from different sources, and present results in reports and graphs. This course focuses on using the menu-driven tasks in SAS Enterprise Guide, the point-and-click interface to SAS, to create queries and reports. It does not address writing SAS code or statistical concepts. This course serves as a prerequisite for the SAS® Enterprise Guide® 2: Advanced Tasks and Querying course and for the Creating Reports and Graphs with SAS® Enterprise Guide® course. It also serves as a prerequisite for the SAS® Enterprise Guide®: ANOVA, Regression, and Logistic Regression course, which teaches statistical concepts using SAS Enterprise Guide.
Learn How To
- Access and manipulate local and remote data of various types.
- Create queries that filter and summarize data, compute new columns, and join multiple tables.
- Create frequency and tabular reports.
- Automate output results.
Who Should Attend
Data, business, and statistical analysts who licensed or are considering licensing SAS Enterprise Guide or SAS Analytics Pro and would like training to get started with data access, management, and analysis
Prerequisites
This course is designed for users with no programming experience or SAS knowledge. Before attending this course, you should be familiar with Windows and other software, such as Microsoft Office or spreadsheet programs.
SAS Products Covered
SAS Enterprise Guide
Course Outline
Getting Started
- Introducing SAS Enterprise Guide.
- Working with SAS Enterprise Guide projects.
- Understanding SAS data structures.
- Accessing data.
- Importing data files.
- Introduction to tasks and wizards.
- Creating a frequency report.
- Generating different output formats.
- Creating a listing report.
- Filtering data in a task.
- Creating a graph.
- Filtering and sorting data.
- Creating new columns.
- Grouping and summarizing data.
- Joining tables.
- Generating summary statistics.
- Creating a summary table report.
- Prompting in projects.
- Creating and using prompts in tasks.
- Creating and using prompts in queries.
- Combining results.
- Updating and organizing projects.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
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LANGUAGE | EVENT FEE | |
| 09-10 OCT 2025 | Live Web, US | 9:00 AM-5:00 PM EDT | English | 1,450 USD | |
| 27-31 OCT 2025 | Live Web, US | 1:00 PM-4:30 PM EDT | English | 1,450 USD | |
| 03-06 NOV 2025 | Live Web, US | 9:30 AM-1:30 PM EST | Spanish | 1,450 USD | |
| 08-12 DEC 2025 | Live Web, US | 1:00 PM-4:30 PM EST | English | 1,450 USD | |
| 05-09 JAN 2026 | Live Web, US | 1:00 PM-4:30 PM EST | English | 1,600 USD | |
| 02-06 FEB 2026 | Live Web, US | 1:00 PM-4:30 PM EST | English | 1,600 USD | |
| 19-20 FEB 2026 | Live Web, US | 9:00 AM-5:00 PM EST | English | 1,600 USD | |
| 09-13 MAR 2026 | Live Web, US | 1:00 PM-4:30 PM EDT | English | 1,600 USD | |
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.