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 Duration 14 hours

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Grasping the concept of queries and applied steps
  • Exploring integration features within Power BI and Excel

Establishing Data Source Connections

  • Importing data from Excel, CSV, and text files
  • Handling folders and organized datasets
  • Linking to online platforms and database sources

Basics of Data Cleansing

  • Eliminating errors and duplicate entries
  • Applying filters, sorting, and data shaping techniques
  • Addressing missing data values

Data Transformation and Shaping

  • Splitting and consolidating columns
  • Techniques for pivoting and unpivoting data
  • Grouping records and performing aggregations

Merging and Combining Queries

  • Distinguishing between append and merge operations
  • Understanding join types and data structural implications
  • Constructing models from multiple data sources

Getting Started with the M Language

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

Automation and Refresh Management

  • Designing reusable transformation pipelines
  • Setting up automated refresh schedules
  • Overseeing dependencies and optimizing query performance

Advanced Methodologies

  • Implementing parameters in queries
  • Utilizing functions within the M language
  • Adopting best practices for scalable transformation architectures

Recap and Future Pathways

Requirements

  • A foundational grasp of data management within spreadsheets
  • Practical experience with elementary data analysis activities
  • Basic familiarity with standard file formats like CSV and Excel

Intended Audience

  • Data specialists tasked with cleansing and preparing datasets
  • Business analysts managing recurring data processing tasks
  • Individuals involved in data reporting and workflow automation

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

How to use relationships in Power BIand the differences between columns and measurements

LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

Method of training.

Ineshia Bilankulu - National Transmission Company South Africa
Course - Power BI: Basics to Advanced

Upcoming Courses

Power Query for Data Transformation and Automation

2026-11-06 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Power Query for Data Transformation and Automation

2026-11-20 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Power Query for Data Transformation and Automation

2026-12-04 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Power Query for Data Transformation and Automation

2026-12-18 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Power Query for Data Transformation and Automation

2027-01-01 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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