Training Objectives by User
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      Power User Training

      This article details training objectives for Datagration Training: Power User Training

      Power User Training has 5 main areas.  

      • Introduction
      • Data Model 
      • Build
      • Predict 
      • Analyze

      Materials needed are computer and internet access.  The course can be delivered virtually or in-person.  

      Power User Training will train the user to create new and manage existing Workspaces within the Datagration Platform. 

      Introduction 

      The Datagration Platform

      Unified Data Model

      • Be able to understand Entity, Signal, Units of Measure, Source, Tag
      • Be able to apply the Unified Data Model to different data sets

      Applications

      Data Model

      Sources

      • Be able to locate Sources
      • Add New Connection
      • Add Descriptions
      • Create new Sources
      • Map Entities and Signals
      • Create and run Integrations

      Entities

      • Be able to find entities and information relating to signals, tags, workflows, scripts
      • Ability to view entities in different hierarchies
      • Create an entity
      • Create a hierarchy
      • Import Entities and Hierarchies

      Signals

      • Be able to gather different information about signals
      • Create a signal

      Build

      Develop

      • Know where P# scripts are built
      • Understand how to use expression builder
      • Write and run a P# Script
      • Create Entity Sets, Scopes, Contexts

      Library 

      • Find Entity Sets
      • Create Entity Sets, Scopes, Contexts

      Workflows

      • Understand how workflows are built
      • Know where to find workflow schedules
      • Create Workflows
      • Create Workflow Schedules
      • Troubleshoot Workflow issue

      Tables

      • View Tables
      • Create Tables
      • Understand when to use a table vs a workflow for a Power BI connection

      Logs

      • View logs

      Predict

      DCA

      • Understand how to view DCA curves
      • Add segments to DCA
      • Change Review Status
      • Change Settings
      • Download DCA Curves
      • Run Workflows to update DCA Curves

      ML

      • Navigate ML

      • Understand inputs for running a model

      • Know the information usefulness of Pre-Training Statistics

      • Run an ML Model

      • Read Post-Training Statistics to understand the data

      • Be able to run data in the Playground

      • Modify existing model
      • Create new model

      Scenarios

      • Be able to understand how Scenarios are used
      • Add a new Scenario

      Analyze

      Home

      • Be able to establish a home screen

      Dashboards

      • Look at different dashboards, refresh
      • Understand general Dashboard Functionality (Sorting)
      • Find the data source that populates each dashboard
      • Understand User Access (Modify access is an Admin function)
      • Export / Import standard dashboard

      Data 

      • Use established Filters
      • Add a new Filter
      • Understand how to use Signals and Entities when using Filters
      • Visualize data using Table, Stats, Charts
      • Be able to export data


      Maps 

      • Be able to use established layers
      • Know how to use the filters for Entities, Color, Size, Height
      • Create an entity set from the map 
      • Understand the purpose of Voronois
      • Be able to use Data Grid
      • Be able to add a new Data Grid

      Settings Bar

      • Navigate
      • Edit Workspace Values
      • Add and modify Notification
      • Reset Cache
      • View Workspace Documentation
      • View and edit Tags
      • View and Edit Reference Tables