Get in Touch
 Duration 14 hours

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Concepts of queries and applied steps
  • Integration with Power BI and Excel

Establishing Data Connections

  • Importing data from Excel, CSV, and text files
  • Managing folders and structured data sets
  • Connecting to online services and database sources

Fundamentals of Data Cleaning

  • Elimination of errors and duplicate entries
  • Data filtering, sorting, and structural shaping
  • Handling missing values effectively

Data Transformation and Shaping

  • Splitting and merging columns
  • Techniques for pivoting and unpivoting data
  • Grouping and aggregating information

Integrating Multiple Queries

  • Distinctions between appending and merging queries
  • Considerations for join types and data structures
  • Modeling datasets derived from multiple sources

Introduction to the M Language

  • Comprehension of M formula syntax
  • Query modification via the Advanced Editor
  • Developing custom transformation logic

Automation and Refresh Management

  • Design of reusable transformation workflows
  • Setup of automatic refresh schedules
  • Optimization of dependencies and query performance

Advanced Techniques

  • Implementation of query parameters
  • Application of functions within M
  • Best practices for building scalable transformation pipelines

Recap and Future Directions

Requirements

  • A foundational understanding of spreadsheet-based data operations
  • Practical experience with elementary data analysis tasks
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

  • Data professionals focused on dataset cleaning and preparation
  • Business analysts managing recurring data workflows
  • Individuals involved in data reporting and process automation

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories