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 Duration 14 hours

Course Outline

Overview of Power Query

  • Exploring the Power Query interface
  • Grasping the concept of queries and applied steps
  • Navigating integrations with Power BI and Excel

Establishing Data Connections

  • Importing data from Excel, CSV, and text files
  • Managing folders and structured datasets
  • Linking to online resources and database sources

Fundamentals of Data Cleaning

  • Eliminating errors and duplicate entries
  • Filtering, sorting, and reshaping data structures
  • Addressing missing values effectively

Data Transformation and Shaping

  • Splitting and merging column data
  • Applying pivoting and unpivoting techniques
  • Grouping data and performing aggregations

Query Combination Techniques

  • Distinguishing between appending and merging queries
  • Selecting appropriate join types and considering data structure
  • Modeling datasets from multiple sources

Introduction to the M Language

  • Comprehending M language formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation scripts

Automation and Refresh Management

  • Building reusable transformation workflows
  • Setting up refresh schedules
  • Overseeing dependencies and optimizing query performance

Advanced Methodologies

  • Implementing parameters in queries
  • Utilizing functions within the M language
  • Best practices for designing scalable transformation pipelines

Recap and Future Directions

Requirements

  • A foundational understanding of data operations within spreadsheets
  • Hands-on experience with basic data analysis activities
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

  • Data specialists tasked with cleaning and preparing datasets
  • Business analysts managing recurring data processes
  • Professionals involved in data reporting and workflow automation

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