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There are 6 modules in this course
In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.
Power Query is absolutely 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 time on your analysis projects.
By 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
What's included
5 videos1 reading
Show info about module content
5 videos•Total 8 minutes
Course Introduction•2 minutes
Introduction to Power Query•2 minutes
Course Outline•1 minute
Download Power Query•3 minutes
Overview of Course Files•1 minute
1 reading•Total 10 minutes
Download Learner Files•10 minutes
Basic Transformations
Module 2•1 hour to complete
Module details
What's included
35 videos1 peer review
Show info about module content
35 videos•Total 47 minutes
Basic Transformations Objectives•1 minute
What is a CSV File?•2 minutes
Database Normalization•2 minutes
Basic CSV Unpivot•0 minutes
Importing CSV file 1a•2 minutes
The Power Query Editor•1 minute
Manipulating Column Headers•2 minutes
The Query Steps Pane•1 minute
Deleting Columns•1 minute
Unpivoting Columns•2 minutes
Filtering Blanks•1 minute
Defining Data Types•2 minutes
Loading Query 1a to the Worksheet•2 minutes
CSV Import N Columns•1 minute
Duplicating Queries•1 minute
Modifying the Source•1 minute
Importing an Unknown Number of Columns•3 minutes
Futureproofing Our Query•3 minutes
Filter Non-dates•1 minute
Import CSV File 1c•1 minute
Identify Column Headers•1 minute
Remove Unwanted Columns•1 minute
Unpivot and Rename•1 minute
Date Settings•1 minute
Interpreting and Filtering Dates•2 minutes
Loading as Connection Only•2 minutes
Grouped Row Headers•1 minute
Fill Values Down•3 minutes
Thinking about the Order of Steps•2 minutes
Pivot Grouped Headers•2 minutes
Adding a Duplicate Column•1 minute
Finishing Up•1 minute
Learner Exercise•1 minute
Clues•1 minute
Review•4 minutes
1 peer review•Total 30 minutes
Exercise 1z•30 minutes
Extracting Information
Module 3•1 hour to complete
Module details
What's included
21 videos1 peer review
Show info about module content
21 videos•Total 39 minutes
Extracting Information•1 minute
A Closer Look at Filters•1 minute
Creating Query Folders•2 minutes
Better Filters•1 minute
Extracting Characters from Text•2 minutes
Checking Filter Logic•2 minutes
Import Basic Excel Files•1 minute
Dealing with Ghost Columns•3 minutes
Splitting Columns•1 minute
Referenced Queries•2 minutes
Splitting by Delimiter•3 minutes
Splitting by Character Number•1 minute
An Introduction to M Code•3 minutes
Commenting Code•3 minutes
Exercise 2d - Splitting Columns into Rows•1 minute
Importing an Excel Table•1 minute
Split a Column into Rows•2 minutes
Learner Exercise•1 minute
Exercise 2z - Clues•1 minute
Exercise 2z - Review•4 minutes
What if the Dataset Grows•3 minutes
1 peer review•Total 30 minutes
Exercise 2z•30 minutes
Consolidating Data
Module 4•1 hour to complete
Module details
What's included
19 videos1 peer review
Show info about module content
19 videos•Total 35 minutes
Consolidating Data Objectives•1 minute
Exercise 3a - Grouping Data•1 minute
Setting Up Our Query•1 minute
Aggregating Multiple Columns•1 minute
Identifying a Specific Month•1 minute
Grouping Rows•2 minutes
Merging Tables•1 minute
Two Queries from the Same File•1 minute
Merging Queries•4 minutes
Expanding Merged Columns•3 minutes
Exercise 3c - Combining Identical Files•1 minute
Create Query from Folder•3 minutes
Modifications Required before Combining•2 minutes
The Combined Query•2 minutes
Extracting Data from Each Filename•2 minutes
Using Filters for Investigation•2 minutes
Exercise 3z - Student Exercise•1 minute
Clues and Challenges•0 minutes
Review•5 minutes
1 peer review•Total 30 minutes
Exercise 3z•30 minutes
Dealing with Errors
Module 5•1 hour to complete
Module details
What's included
18 videos1 peer review
Show info about module content
18 videos•Total 33 minutes
Dealing with Errors Objectives•1 minute
Basic Errors•1 minute
Tracking Down Errors•3 minutes
Managing Errors in the Power Query Editor•3 minutes
Using Find Replace to Fix a Character Error•2 minutes
Errors with Date Locales•1 minute
Changing a Column Date Locale•2 minutes
Dealing with Exceptions•1 minute
Creating a Conditional Column with a Columnar Output•2 minutes
Creating a Conditional Column with a Text Output•1 minute
Errors with File Locations•1 minute
Creating a Parameter•4 minutes
Using a File Location Parameter•3 minutes
Opening the All Queries File•1 minute
Student Exercise•1 minute
Clues•0 minutes
Review•4 minutes
Course Summary•1 minute
1 peer review•Total 30 minutes
Exercise 4z•30 minutes
Qualified Assessment
Module 6•1 hour to complete
Module details
What's included
1 assignment
Show info about module content
1 assignment•Total 60 minutes
Final Assessment•60 minutes
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What will I get if I subscribe to this Specialization?
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.