Why should you choose Nisa For SAS Visual Analytics 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 Visual Analytics 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 Visual Analytics 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 Visual Analytics

  • Overview of SAS Visual Analytics and its components.
  • Understanding the SAS environment: The interface, workspaces, and reports.
  • Introduction to data management and preparation using SAS Visual Analytics.

• Data Exploration

  • Connecting to data sources (e.g., SAS, Excel, CSV files).
  • Exploring and summarizing data using interactive techniques.
  • Basic statistical analysis, such as calculating summary statistics and distribution analysis.

• Data Visualization Techniques

  • Building interactive visualizations: bar charts, line charts, pie charts, and heat maps.
  • Customizing visualizations (e.g., colors, labels, scales).
  • Understanding the importance of choosing the right chart types for different data.

• Building Reports

  • Creating and designing reports using the Report Builder.
  • Adding interactive elements (filters, drill-downs, links).
  • Designing visually appealing and insightful reports for business users.

• Dashboards and Storytelling

  • Creating dashboards to display multiple visualizations.
  • Integrating text and visualizations for effective storytelling.
  • Using drill-through features to allow users to explore data at deeper levels.

• Advanced Analytics in Visual Analytics

  • Performing advanced data analysis, such as trend analysis and forecasting.
  • Working with statistical models, clustering, and regression.
  • Interpreting results of advanced analytics and presenting them in a visually meaningful way.

• Collaborating and Sharing Reports

  • Sharing reports with colleagues and stakeholders.
  • Setting up permissions and access controls.
  • Publishing reports to the SAS Visual Analytics Hub.

• Best Practices and Optimization

  • Best practices for creating efficient reports and dashboards.
  • Optimizing performance for large datasets.
  • Tips for designing reports that are user-friendly and visually engaging.