What you'll learn
Identify the characteristics of good and bad data using the principles of data normalization.
Extract data from CSV and Excel files and automate basic transformations such as Pivot and Unpivot.
Transform datasets by grouping or combining data from different tables or even multiple files from the same folder.
Avoid, interpret and fix errors and exceptions that you experience in Power Query.
Requirements
MS Excel software
Fundamental knowledge of MS Excel usage and it's functions
Fundamental knowledge of Finance and Banking
Description
Power Query Fundamentals Overview"Stop wasting your time manipulating data"If you've ever worked with data extracts or regular reports in Excel, you'll know how time-consuming it is to change the layout, extract information, and lookup values from other tables. Not only that, but you repeat these tasks every week or month, each time you receive a new report. Stop. Power Query is about to revolutionize your work.In this Certified Financial Excel Power Query Expert (CFEPQ-Expert) course, we'll explore the world of data transformation and automation. You'll learn to extract data from multiple sources and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations and extract and consolidate data from multiple files. Finally, we'll look at how to deal with common errors. Power Query is essential for any Excel-focused analyst and is a powerful asset to any Business Intelligence analyst. These skills will help you spend less time on data manipulation and more on your analysis projects.Power Query Fundamentals Learning ObjectivesBy the end of this course, you will be able to:Identify the characteristics of good and bad data using the principles of data normalization.Extract data from CSV and Excel files and automate basic transformations such as Pivot and Unpivot.Extract information from fields that combine two or more values.Transform datasets by grouping or combining data from different tables or even multiple files from the same folder.Avoid, interpret and fix errors and exceptions that you experience in Power Query.Load transformed data into Excel for use as automated data feeds.This Power Query course is perfect for anyone who wants to build up their understanding of Business Intelligence. This course is designed to equip anyone who desires to begin a career in data analysis, quantitative analysis, business intelligence, or other areas of finance with the fundamental knowledge of Power Query.
Overview
Section 1: Introduction
Lecture 1 What is Power Query
Lecture 2 How to Install Power Query
Section 2: Key Features of Power Query with Examples
Lecture 3 How of Unpivot using Power Query
Lecture 4 How to import dynamic number of columns in Power Query
Lecture 5 How to Group Rows in Power Query
Section 3: Power Query Challenge # 1 with Live Example
Lecture 6 Basic Transformations
Section 4: Power Query Challenge # 2 with Live Example
Lecture 7 Extracting Information
Section 5: Power Query Challenge # 3 with Live Example
Lecture 8 3. Consolidating Data
Section 6: Power Query Challenge # 4 with Live Example
Lecture 9 Dealing with Errors
This Power Query course is perfect for anyone who wants to build up their understanding of Business Intelligence. This course is designed to equip anyone who desires to begin a career in data analysis, quantitative analysis, business intelligence, or other areas of finance with the fundamental knowledge of Power Query.



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