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Process mining for the data wrangler

Offered By: Microsoft via Microsoft Learn

Tags

Data Analysis Courses Business Process Management Courses Process Mining Courses Data Transformation Courses Data Wrangling Courses Data Extraction Courses Data Validation Courses

Course Description

Overview

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  • Module 1: Learn about the basics of process mining in Power Automate.

    This module explains the following concepts:

    • Process mining and its role in hyperautomation
    • How to use process mining
    • Process mining in Power Automate and the web portal
    • Power Automate Process Mining desktop application
  • Module 2: Learn how to use process mining in the Power Automate web portal.

    This module explains the following concepts:

    • Different metrics and mining attributes
    • How to create clusters
    • How to identify reworks and the activities that cause them
    • Statistics and case influencers
  • Module 3: Learn how to extract event log data for process mining.

    This module explains the following concepts:

    • Data elements that are important for the event log
    • Common data sources and connectors
    • Pre transformation cleanup that might be required
    • How to handle data from multiple sources
  • Module 4: Learn how to transform and load event log data for process mining.

    This module explains how to:

    • Identify data for normalizing.
    • Load the event log data.
    • Transform the event log data.

Syllabus

  • Module 1: Module 1: Introduction to Power Automate process mining
    • Introduction
    • Process mining concepts and its role in hyperautomation
    • Use process mining
    • Process mining in Power Automate
    • Process mining in Power Automate web portal
    • Power Automate Process Mining desktop app
    • Check your knowledge
    • Summary
  • Module 2: Module 2: Use process mining in Power Automate web portal
    • Introduction
    • Create a process mining report
    • Process report and data validation
    • Analyze the process mining report in Power Automate
    • Project sharing and data refresh
    • Check your knowledge
    • Summary
  • Module 3: Module 3: Extract event log data for process mining
    • Introduction
    • Extract event log data
    • Identify data sources
    • Validate data
    • Exercise - Inspect and prepare data
    • Consolidate and clean up data
    • Exercise - Consolidate data
    • Check your knowledge
    • Summary
  • Module 4: Module 4: Transform and load event log data for process mining
    • Introduction
    • Normalize event log data
    • Filter event log data
    • Load event log data
    • Exercise - Event log transformation
    • Check your knowledge
    • Summary

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