Mastering PowerQuery

Gain mastery over data transformation and preparation with our comprehensive 6-hour course, designed for data analysts, business intelligence professionals, and data enthusiasts. Whether face-to-face or virtual, learn to import, manipulate, and refine data efficiently using PowerQuery.

  • Audience

    This course is designed for data analysts, business intelligence professionals, and anyone working with data who wants to enhance their skills in data transformation and preparation using PowerQuery.

    Pe-requisites

    Attendees should have a basic understanding of data concepts and be familiar with spreadsheet software like Microsoft Excel.

    Duration

    6 hours

    Delivery Method

    Face to face or Virtual
  • Course Objectives

    By the end of this one-day workshop, participants will have mastered PowerQuery, enabling them to efficiently import, transform, and prepare data for analysis, improving their overall data manipulation capabilities.

    Course Content

    • PowerQuery Basics
    • Understanding the role of PowerQuery in data transformation.
    • Exploring the PowerQuery interface and basic functionalities.
    • Data Import and Connection:
    • Importing data from various sources, including Excel, databases, and web data.
    • Establishing connections and managing queries.
    • Basic Data Transformation Techniques:
    • Applied Steps
    • Cleaning and shaping data for analysis.
    • Introduction to basic transformations such as filtering and sorting.
    • Merging and Appending Queries:
    • Combining data from different sources.
    • Appending and merging queries for expanded datasets.
    • Combining files from a Folder
    • Join Kinds
    • Understanding Database Relationships
    • Aggregating data using simple functions.
    • Grouping data to analyze patterns and trends.
    • Introduction to Parameters:
    • Understanding parameterized queries.
    • Implementing basic parameters for flexible data transformations.
    • Error Handling:
    • Basic error handling techniques in PowerQuery.
    • Troubleshooting common issues in data transformation.
    • Best Practices for Efficiency.