Get in Touch
 Duration 14 hours

Course Outline

Introduction to Power Query

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

Linking to Data Sources

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

Fundamentals of Data Cleaning

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

Data Transformation and Shaping

  • Splitting and merging columns
  • Executing pivots and unpivots
  • Grouping data and applying aggregations

Combining Multiple Queries

  • Distinguishing between appending and merging queries
  • Considerations regarding join types and data structure
  • Modeling datasets derived from multiple sources

Getting Started with the M Language

  • Understanding M language formulas
  • Modifying queries through the Advanced Editor
  • Developing custom transformation scripts

Automation and Data Refresh

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

Advanced Methodologies

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

Summary and Path Forward

Requirements

  • A solid grasp of spreadsheet-based data operations
  • Practical experience with fundamental data analysis activities
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

  • Data professionals focused on cleaning and preparing data sets
  • Business analysts managing recurring data processes
  • Individuals involved in data reporting and process automation

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories