Course Summary
SmartWorks IoT has everything you need to quickly build scalable, secure, customer web and mobile applications that connect to your smart products. With SmartWorks IoT you can deploy anywhere, cloud, on-premises, or a hybrid of these. SmartWorks IoT provides a performant, secure, scalable location for your deployment and allows you to onboard millions of devices while keeping users happy.
Certificate of Completion
A certificate of completion is available when all modules are complete.
- Editing Trainer: Global Tech Team Training
Course Summary
Monarch is a desktop-based self-service data preparation solution. Altair Monarch was designed for ordinary people to do extraordinary things with data. After simply dropping a file onto the prep canvas, your data becomes instantly available in the form of rows and columns.
Course Outline
- Introduction to the Monarch Family and Getting Started
- Report Design
- Data Preparation
Course Summary
Monarch is a market-leading desktop-based self-service data preparation solution. Monarch connects to multiple data sources, including structured and unstructured data, cloud-based data, and big data. Connecting to data, cleansing, and manipulating data requires no coding. This beginner course will teach you about the Monarch family of products while specifically focusing on features in Monarch Data Prep Studio, including adding data sources, extracting data, and utilizing the PREPARE window.
Course Outline
- Introduction to the Monarch Family and Data Prep Studio
- Data Acquisition and Profiling
- Extracting Data
- The PREPARE Window
Once you have completed all lesson videos you will receive a certificate of completion.
Course Summary
Altair SmartWorks Analytics is a cloud-ready low-code platform that enables data scientists and business analysts to build and operationalize data analytics applications. Combining decades of experience in data preparation, machine learning, and visualization in a unified interface, SmartWorks Analytics scales as data sizes grow, new open-source features and functionalities are developed, and user profiles become more sophisticated. This course provides an introduction to how to use SmartWorks and create a project or pipeline in SmartWorks Analytics.
Certificate of Completion
A certificate of completion is available when all modules are complete.
This course is designed to provide a solid understanding of Optimization techniques and how to apply these to solve business problems using Altair Knowledge Studio.
Please complete the Knowledge Studio Course before attempting this course.
Course Summary
Panopticon lets business users, analysts, and engineers — the people closest to the action — build, modify, and deploy sophisticated data visualization and stream processing applications with a drag-and-drop interface. They can connect to virtually any data source, including big data sources, SQL and NoSQL databases, message queues; develop complex event processing programs; and design visual user interfaces that give them the perspectives they need to make insightful, fully informed decisions based on massive amounts of data.
Certificate of Completion
A certificate of completion is available when all modules are complete.
Course Summary
This course will introduce you to Knowledge Studio and the tools available to get you started with data analytics.
Upon completion of this course, attendees should be able to:
- Explain the concept of Data Mining
- Navigate the Knowledge Studio interface
- Create and manage projects using Knowledge Studio
- Import data from a variety of sources and file formats
- Analyze and profile data using Knowledge Studio capabilities
- Prepare and transform data, including deriving new variables
- Explain, build, evaluate, validate and deploy:
- Altair Decision Tree
- Altair Strategy Tree
- Linear Regression
- Logistic Regression
- Neural Network
- Cluster Analysis
- Principal Component Analysis
- Market Basket Analysis
Certificate of Completion
Once you have completed all lesson videos you will receive a certificate of completion.
Course Summary
Introduction to data profiling and modeling with WPS Analytics eLearning comprises a set of interactive modules illustrating the application and use of WPS Analytics to process data. As a result of completing this course, students should be able to use WPS Analytics Workbench to connect, acquire, profile, prepare, manipulate, model, deploy, and export data and results.
Course Outline
- Course Introduction
- Introduction to WPS Workbench
- Data Acquisition
- Data Exploration and Profiling
- Data Preparation and Manipulation
- Modeling with WSP Workbench
- Introduction to Decision Trees
- Decision Tree Model Improvement
- Evaluating and Validating a Decision Tree Model
- Challenging the Model
- Model Deployment
- Exporting Data
- Course Conclusion
Certificate of Completion
A certificate of completion is available when all modules are complete.
Course Summary
The course
is aimed at those involved with the development of scorecards and focuses on
WPS Analytics’ Workbench Workflow perspective functionality. This course provides a set of best practices through Workbench functionality, including data import, the data profiler, data preparation, logistic regression, model evaluation and validation, and data export.
- Explain what a scorecard is and where it can be used.
- Differentiate application and behavioral scorecards.
- Outline the process steps involved when developing a scorecard.
- Explain the weight of evidence and its applicability to the scorecard development.
- Apply WoE transformations using the WoE Transform block.
- Evaluate and validate a logistic regression model using WoE variables.
- Scale a logistic regression created with WoE variables to a scorecard.
- Explain the use of the PSI statistic to monitor scorecards
- Apply the PSI block to monitor a scorecard.
- Explain reject inference and its applicability to the scorecard development.
- Apply reject inference using the Reject Inference block.
Certificate of Completion:
Course Summary
The Monarch
Introduction course will provide a solid understanding of data prep studio
capabilities for data preparation.
Course Outline
- Introduction to Monarch
- Data Prep Studio
- Acquiring Data
- Extracting Data from Reports Part 1 - Introduction
- Extracting Data from Reports Part 2 - Document Options
- Extracting Data from Reports Part 3 - The Floating Trap
- Extracting Data from Reports Part 4 - Multi Column Region
- The PREPARE Window
- The Transform Window
- The Combine Window
- The Analyze Window
- Exporting Results
- Application Settings
- Working with Monarch Classic
- Working with Monarch Table Extractor