SAS Enterprise Guide Training

Categories Analytics Course
Course level:Intermediate

SAS Enterprise Guide (EG) is a powerful tool designed for data analysis and reporting, providing a user-friendly interface for users to access the full functionality of SAS without needing to write extensive code. The training for SAS Enterprise Guide typically covers a range of topics, from basic navigation to more advanced data analysis techniques.

SAS Enterprise Guide Training
SAS Enterprise Guide Training – Learn Online

Why should you choose Nisa For SAS Enterprise Guide Training?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on SAS Enterprise Guide Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

  • We receive your inquiry for Online Job
  • We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
  • We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

SAS Enterprise Guide Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.

COURSE CONTENT :

  • Introduction to SAS Enterprise Guide
    • Overview of SAS Enterprise Guide (EG) interface
    • How to navigate the workspace and use the project tree
    • Introduction to projects, tasks, and process flows
    • Understanding the role of EG in data analysis and reporting
  • Working with Data
    • Importing and exporting data from different sources (Excel, CSV, databases, etc.)
    • Data management tasks (sorting, filtering, creating subsets)
    • Introduction to data libraries and datasets
    • Data cleaning and transformation (using the Query Builder and tasks like “Data Step,” “Transpose,” etc.)
  • Using Tasks in SAS Enterprise Guide
    • Overview of predefined tasks in EG
    • Task types: Data, Reporting, Statistics, and Graphing
    • How to use tasks for common data analysis tasks (e.g., descriptive statistics, regressions, etc.)
    • How to create custom tasks and use reusable code
  • Data Exploration and Analysis
    • Descriptive statistics and summarization
    • Frequency analysis and distribution analysis
    • Hypothesis testing and statistical modeling
    • Regression analysis and ANOVA in SAS EG
  • Working with Code in SAS EG
    • Introduction to the code editor and submitting SAS code
    • Writing custom SAS code in EG
    • Using EG to automate and run SAS programs
    • Debugging and troubleshooting code
  • Reporting and Output Generation
    • Creating and formatting reports in SAS EG
    • Using the Results Viewer and creating output datasets
    • Exporting results to Excel, PDF, HTML, or other formats
    • Creating graphical outputs (bar charts, scatter plots, histograms, etc.)
  • Advanced Data Manipulation and Techniques
    • Working with joins, merges, and SQL within EG
    • Advanced filtering and data processing techniques
    • Customizing reports and outputs with styles and formatting
    • Using macros for automation and efficiency
  • Automation and Scheduling
    • Automating tasks and creating batch jobs in EG
    • Scheduling processes and automating repetitive tasks
    • Creating process flows for end-to-end automation
  • Collaboration and Sharing
    • Sharing projects and results with colleagues
    • Using EG to collaborate on datasets and reports
    • Version control and project management in EG
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