Course
Introduction to Power Query in Excel
BasicSkill Level
Updated 04/2026ExcelData Preparation3 hr9 videos27 Exercises2,150 XP31,818Statement of Accomplishment
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Navigating Data with Excel Power Query
Embark on a transformative journey through Excel Power Query, where data manipulation becomes an art. Designed for novices and experts alike, this course unlocks new efficiencies in data handling, leaving behind time-consuming manual processes. Discover the power to connect with varied data sources, streamline your datasets, and ready them for insightful analysis. Excel Power Query's suite of tools awaits to elevate your reporting and decision-making prowess, saving time and revealing valuable insights from your data.Discovering Power Query in Excel
Begin with a comprehensive overview of Power Query, transforming Excel into a potent data analysis tool. Learn to import and systematically organize data with intuitive commands, tracking each step with precision. This foundational knowledge sets the stage for sophisticated data manipulation within the familiar Excel workspace.Cleansing Data for Clarity
Dive into Power Query's cleaning features to produce immaculate datasets. Tackle errors, fill gaps in data, and eradicate duplicates. This chapter hones your skills in data refinement, ensuring your dataset's integrity and priming it for complex analysis.The Art of Data Transformation
Conclude with a deep dive into data transformation techniques. Master the essentials of column transformations, including numerical, date/time, and text adjustments, leveraging Power Query's built-in functions. Experience advanced structuring methods like transposing, pivoting, and grouping, and learn to interlink queries for a comprehensive analytical narrative.This condensed course promises a hands-on approach to mastering data efficiency and insight extraction with Excel Power Query, empowering you to become a savvy data analyst.
Prerequisites
Data Preparation in ExcelData Analysis in Excel1
Getting Started with Power Query in Excel
Imagine Excel as you've never seen it before – Power Query opens a window to a whole new world of data possibilities! In this chapter, you’ll explore the layout and features of Power Query and its interplay with traditional Excel workbooks. You’ll load data from multiple sources and learn to structure them through column and row manipulations while maintaining an applied steps log of all your actions.
2
Data Cleaning and Preparation
In this chapter, you’ll harness Power Query’s digital cleaning features to prepare a squeaky-clean dataset! Column profiling features will be covered, allowing you to handle errors and missing data effectively. You’ll also master eliminating duplicate data and correcting for data entry issues and outliers.
3
Column Transformations
It’s time to transform! This chapter covers many basic column transformations - a vital step in the journey from raw data to meaningful insights. You will learn how and when to apply numeric, date/time, and text transformations to both transform and derive column contents with Excel Power Query’s many built-in features.
4
Shaping and Grouping Data
It’s all about shaping and grouping in this final chapter! You will get hands-on experience with powerful transformation options to bring your analysis prep to the next level. You’ll learn how and when to apply transpose, pivot, and group-by transformations - all within the Power Query editor. You’ll also learn how to leverage existing queries to build new ones and track their connection in the Query Dependencies tree.
Introduction to Power Query in Excel
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FAQs
What will I learn in this course?
You will learn key concepts of Power Query, how to import and transform data, perform data cleaning and preparation, and create advanced data transformations for analysis.
What is Power Query?
Power Query is a data transformation and preparation tool with a graphical interface for retrieving data from various sources and an editor for applying transformations. It supports ETL (extract, transform, load) processes and integrates with various products and services for storing processed data.
Who is this course for?
This course is suitable for data analysts, business analysts, financial analysts, accountants, IT professionals, and anyone who uses Microsoft Excel for data analytics.
What prerequisites do I need before taking this course?
Learners should have fundamental knowledge of using Excel, understanding different data structures in Excel (tables, rows, columns, cells), and basic data manipulation concepts such as sorting and filtering. We recommend that you have completed the Data Preparation in Excel and Data Analysis in Excel courses before starting this course.
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