Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Understanding queries and their applied steps
  • Navigating integrations with Power BI and Excel for government use

Connecting to Data Sources

  • Importing Excel, CSV, and text files for government applications
  • Working with folders and structured datasets in a public sector context
  • Establishing connections to online and database sources for government operations

Data Cleaning Fundamentals

  • Removing errors and duplicates from data sets
  • Filtering, sorting, and shaping data to meet public sector requirements
  • Addressing missing values in government datasets

Transformations and Data Shaping

  • Splitting and merging columns for enhanced data clarity
  • Pivoting and unpivoting data to support analysis
  • Grouping and aggregating data for comprehensive reporting

Combining Queries

  • Understanding the differences between append and merge queries
  • Exploring join types and their implications for data structure in government datasets
  • Modeling multi-source datasets to enhance public sector analytics

Introduction to M Language

  • Understanding M formulas and their application
  • Editing queries using the Advanced Editor for precise control
  • Writing custom transformations to meet specific government needs

Automation and Refresh

  • Creating reusable transformation workflows for consistent data management
  • Configuring refresh schedules to ensure up-to-date information for government operations
  • Managing dependencies and optimizing query performance in public sector applications

Advanced Techniques

  • Parameterizing queries to enhance flexibility and reusability
  • Utilizing functions in M for complex data manipulations
  • Best practices for developing scalable transformation pipelines for government use

Summary and Next Steps

Requirements

  • Proficiency in spreadsheet-based data management
  • Experience with fundamental data analysis activities
  • Knowledge of standard file formats, including CSV and Excel

Audience

  • Data professionals tasked with cleaning and preparing datasets for government use
  • Business analysts responsible for regular data workflows
  • Individuals involved in data reporting and process automation
 14 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories