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 Duration 14 hours

Course Outline

Getting Started with Power Query

  • An overview of the Power Query interface
  • Comprehending queries and the steps applied to them
  • Exploring the integration with Power BI and Excel

Establishing Data Connections

  • Bringing in Excel, CSV, and text files
  • Managing folders and structured data collections
  • Linking to online services and database repositories

Essentials of Data Cleansing

  • Eliminating errors and duplicate entries
  • Applying filters, sorting, and reshaping data structures
  • Addressing missing values

Data Transformation and Shaping

  • Dividing and combining columns
  • Executing pivot and unpivot operations
  • Grouping data and performing aggregations

Query Consolidation

  • Distinguishing between appending and merging queries
  • Selecting join types and considering data structures
  • Modeling datasets that originate from multiple sources

Introduction to M Language

  • Grasping the logic of M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation logic

Automation and Data Refreshing

  • Building reusable transformation processes
  • Setting up automated refresh schedules
  • Controlling dependencies and optimizing query performance

Advanced Methodologies

  • Introducing parameters into queries
  • Utilizing functions within the M language
  • Best practices for building scalable transformation pipelines

Conclusion and Path Forward

Requirements

  • A foundational grasp of managing data within spreadsheets
  • Prior experience performing basic data analysis operations
  • Knowledge of standard file formats, including CSV and Excel

Target Audience

  • Data specialists tasked with cleansing and preparing datasets
  • Business analysts handling regular data processing workflows
  • Professionals engaged in data reporting and business 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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