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.

Introduction to Power Query

Excel Workbooks vs Excel Power Query

Navigating the Power Query Editor

Getting Started and Loading Data

Managing Columns

Extracting PDF Data

Getting Started with Power Query in Excel

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.

Data Cleaning and Preparation

Importance of Clean Data

Data Cleaning Techniques in Excel Power Query

Handling errors

Assessing column quality and missing data

Removing duplicate data

Outlier detection

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.

Column Transformations

Impact of column transformations

Transformation types in Excel Power Query

Text transformations

Calculating age between two dates

Numeric transformations

Multiple column transformations

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 Data Shaping and Grouping

Options

Transpose

Pivot

Group By

Which transformation to use?

Shaping and Grouping Data in Excel Power Query

Transposing data

Pivoting in Excel Power Query

Group by transformation

Congratulations!

Shaping and Grouping Data

Exercises and Datasets

Unlock the true potential of your data! Say goodbye to manual data wrangling and hello to streamlined, efficient data transformation. In this introductory course to Excel Power Query, you will learn how to seamlessly connect to multiple data sources, clean and shape your data easily, and load it so it’s ready for analysis. Along the way, you will learn about the many available functions that Power Query offers, giving you the confidence to streamline your next Excel-based report. Whether you're a data analyst, business professional, or spreadsheet enthusiast, this course will empower you to save time, make more informed decisions, and extract valuable insights from your data like never before.

<h2>Navigating Data with Excel Power Query</h2>
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. <br><br>

<h2>Discovering Power Query in Excel</h2>
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.<br><br>

<h2>Cleansing Data for Clarity</h2>
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.<br><br>

<h2>The Art of Data Transformation</h2>
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.<br><br>

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.

Data Preparation in Excel

Data Analysis in Excel

Enter the world of Power Query in Excel and power up your data transformation and cleansing to help you enhance your decision-making and analysis.

Introduction to Power Query in Excel

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Datenanalyse mit Excel Power Tools

You received a wide file with 100 columns and two rows (groups A and B), and you need to reshape it to 2 columns by 100 rows.

Transform a sales transaction file into a summary table where product rows become columns and values represent the total sales of each product.

A dataset contains columns for the department, employee ID, and salary; you must create a table summarizing the average salary by the department.

A transactional sales table lists details of every transaction ID by minute, and your analysis requires aggregated statistics at the monthly level.

Which transformation to use?

Introduction to Power Query in Excel

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