Introduction to Data Analytics with Excel Power Query

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  • Location
    • Your Space
      Your Space
      Self Study - AICPA, ID 00000
  • Credits
    • 1.00
  • Credit Type(s)
    • Information Technology (1.00)
  • Prerequisites
    • Comfortable with Excel navigation and data related topics: LOOKUP, Pivot Tables, Data Tables, etc. would be helpful, but not required.;

  • Vendor
    • AICPA
  • Level
    • Basic
  • Fields of Study
    • Information Technology
  • Message
    • When & Where You Want

Description

Data is life. In this session, we will explore the basics of Excel's Power Query add-in; extracting, transforming and preparing data for analysis

Designed For

  • Any business professional responsible for managing and working with data.

Objectives

  • Import and transform basic data into Excel using Power Query
  • Understand and apply the data load capabilities of loading into Excel versus loading into the "data model", and why it matters
  • Identify the basics of extracting and transforming data

Highlights

  • Deep dive into Power Query (Excel 2016 Get & Transform)
  • Explore the basics of extracting and transforming data, which is the first necessary step to data analysis and reporting
  • Top 6 features most important to accountants (data source flexibility, appending queries, unpivot, etc.)
  • Exploration of real Power Query use cases, many of which accountants could implement immediately
  • A summary of top resources and experts to get you started on the journey of learning Power Query
  • Excel workbooks will be made available for all participants to use at their leisure and further explore the topics discussed

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