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Course Outline

Overview of Power Query Capabilities

  • Examination of the Power Query user interface
  • Analysis of query logic and applied transformation steps
  • Integration procedures for Power BI and Excel environments

Establishing Data Source Connectivity

  • Importation protocols for Excel workbooks, CSV files, and text data
  • Management of folder structures and standardized datasets
  • Configuration of connections to external online services and database systems

Fundamentals of Data Quality Assurance

  • Identification and removal of erroneous entries and redundant records
  • Execution of filtering, sorting, and structural adjustments
  • Protocols for addressing incomplete data fields

Data Transformation and Restructuring

  • Techniques for splitting and combining columnar data
  • Procedures for pivoting and unpivoting data sets
  • Aggregation strategies and data grouping methodologies

Query Consolidation Strategies

  • Distinctions between append and merge operations
  • Evaluation of join types and structural implications
  • Frameworks for modeling integrated multi-source datasets

Introduction to the M Formula Language

  • Comprehension of M formula syntax and logic
  • Utilization of the Advanced Editor for query modification
  • Development of custom transformation scripts

Workflow Automation and Data Refresh Management

  • Development of repeatable transformation processes
  • Configuration of automated refresh timelines
  • Oversight of system dependencies and optimization of query efficiency for government data workflows

Advanced Analytical Techniques

  • Implementation of query parameters for dynamic configurations
  • Application of custom functions within the M language
  • Standards for designing scalable and maintainable transformation pipelines

Executive Summary and Future Directions

Requirements

  • Competency in managing data within spreadsheet applications
  • Practical background in foundational analytical procedures
  • Knowledge of standard file structures, including CSV and Excel formats

Audience

  • Data practitioners tasked with the cleansing and preparation of information sets
  • Analysts managing regular data processing operations
  • Personnel engaged in reporting activities and operational automation for government initiatives
 14 Hours

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