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 Duration 14 hours

Course Outline

Introduction to Power Query

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

Connecting to Data Sources

  • Importing Excel, CSV, and text files
  • Managing folders and structured datasets
  • Establishing connections to online and database sources

Fundamentals of Data Cleaning

  • Eliminating errors and duplicate entries
  • Filtering, sorting, and reshaping data
  • Handling missing values effectively

Data Transformation and Shaping

  • Splitting and combining columns
  • Pivoting and unpivoting data
  • Grouping and aggregating information

Query Combination

  • Distinguishing between appending and merging queries
  • Considering join types and data structure implications
  • Modeling datasets from multiple sources

Introduction to M Language

  • Understanding M formulas
  • Modifying queries via the Advanced Editor
  • Crafting custom transformations

Automation and Refresh Strategies

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

Advanced Techniques

  • Implementing query parameterization
  • Utilizing functions within M
  • Best practices for scalable transformation pipelines

Conclusion and Future Directions

Requirements

  • Basic understanding of spreadsheet-based data handling
  • Experience with fundamental data analysis tasks
  • Familiarity with common file formats, including CSV and Excel

Target Audience

  • Data professionals required to clean and prepare datasets
  • Business analysts managing recurring data workflows
  • Individuals involved in data reporting and process automation

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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

engagement with the attendees

Magdeline Matsie Mokonyane-Motha - Tshwane University of Technology
Course - PL-300T00: Microsoft Power BI Data Analyst

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