This three-day course features hands-on training that focuses on deploying, configuring, and managing VMware Aria Operations™ for Logs 8.12. You will learn the UI enhancements, features, architecture, use cases, and benefits of VMware Aria Operations for Logs. This course provides you with the knowledge and skills to use VMware Aria Operations for Logs 8.12 to monitor your environment.
28. 5. 2024
In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals, information technology (IT) LoB, IT leaders, and executives.
What you’ll learn
21. 2. 2022
In this course, you learn to use the Python API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar Python functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native Python syntax to compare models.
27. 1. 2023
Learn how to generate large quantities of high-quality forecasts quickly and automatically (with no need for human intervention unless you want it) using SAS Forecast Server, SAS/ETS, SAS Visual Forecasting, and Model Studio on the SAS Viya platform. An easy-to-use GUI gives you the power to forecast without having to write code, unless you want to. A batch environment gives more-advanced users access to an even fuller set of capabilities using the SAS programming language. Algorithms provide automatic model diagnosis, generation, and selection for a wide range of signal components. Test what-if scenarios to determine the likely impact of your forecasts.
18. 4. 2024
How do you determine the root cause of a problem or identify which variable settings will make the product or process more “robust”? What if you need to gain a better understanding of a complicated system? Can you identify which variables most affect performance and obtain a well-correlated regression equation that explains how those selected system variables and their interactions affect performance?
Design of Experiments (DOE) is an excellent, statistically based tool used to address and solve these questions in the quickest, least expensive, and most efficient means possible. It’s a methodology that includes steps for identifying system variables worthy of study and the ideal experiment type to execute; for setting up an organized, efficient series of tests involving various combinations of selected variables; and for statistically analyzing the collected data to help obtain definitive answers to these problem-solving and optimization challenges.
DOE is a methodology that includes steps for identifying system variables worthy of study and the ideal experiment type to execute; for setting up an organized, efficient series of tests involving various combinations of selected variables; and for statistically analyzing the collected data to help obtain definitive answers to these problem-solving and optimization challenges.
This on-demand course utilizes a blend of text, videos, and hands-on activities to help you gain proficiency in executing designed experiments. It explains the pre-work required prior to DOE execution, how to select the appropriate designed experiment to run, and choosing the appropriate factors and their levels. You’ll also learn how to execute the experimental tests (“runs”) and analyze/interpret the results with the benefit of computer software tools, such as Minitab.
You’ll set up, run, and analyze simple-to-intermediate complexity Full Factorial, Partial Factorial, Taguchi/Robust, and Response Surface experiments both by hand and using computer software. You’ll also receive an overview of Mixture experiments and information on how to install and configure a fully functional 30-day trial version of Minitab for completing practice activities and for personal evaluation. You’ll gain the most value from this course by running experiments through various class exercises, with answers discussed after you’ve had the opportunity to execute the DOE on your own.
By participating in this on-demand course, you’ll be able to:
26. 1. 2023
This course prepares System, Solution, and Enterprise Architects to engage across the organization as effective leaders and change agents. Attending the class prepares you to take the SAFe® 6 Architect exam and become a certified SAFe® 6 Architect (ARCH).
Price of the course includes:
26. 1. 2022
This course covers how to implement, manage, and monitor a RecoverPoint for Virtual Machines solution. Deployment activities including planning, installation, and configuration are covered in this course. Management activities using the vCenter Server Web Client include testing images for remote access, creating bookmarks, and failover and production recovery operations.
This course also covers how the system handles dynamic changes to the VMs and the underlying infrastructure, as well as RecoverPoint licensing and the REST API.
19. 9. 2022
n this course, you will learn about FortiSIEM initial configurations, architecture, and the discovery of devices on the network. You will also learn how to collect performance information and aggregate it with syslog data to enrich the overall view of the health of your environment, how to use the configuration database to greatly facilitate compliance audits, and how to integrate FortiSIEM into your network awareness infrastructure.
20. 1. 2025
This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness of fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.
27. 1. 2023
This course prepares end users for using SAS Solution for CECL on SAS Risk Stratum. The training prepares members of your organization's ECL analysis team to use SAS Risk Stratum to calculate your ECL. The course includes hands-on demonstrations and teaches key concepts, terminology, and base functionality that are integral to SAS Solution for CECL. After completing the course, participants will be prepared to make key business decisions.
The self-study e-learning includes:
27. 1. 2023
In this course, you learn to use the R API to take control of SAS Cloud Analytic Services (CAS) actions from Jupyter Notebook. You learn to upload data into the in-memory distributed environment, analyze data, and create predictive models in CAS using familiar R functionality via the SWAT (SAS Wrapper for Analytics Transfer) package. You then learn to download results to the client and use native R syntax to compare models.
27. 1. 2023
This course will let you build the skills needed to become a high-performing team member of an Agile Release Train (ART)—and learn how to collaborate effectively with other teams. Attending the class prepares you to take the SAFe® 6 Practitioner exam and become a certified SAFe® 5 Practitioner (SP).
Price of the course includes:
26. 1. 2022