CFI - Power Query Fundamentals
- Offered byCoursera
Power Query Fundamentals at Coursera Overview
Duration | 5 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Power Query Fundamentals at Coursera Highlights
- Earn a certificate from Coursera
- Add to your LinkedIn profile
- 1 assignment
Power Query Fundamentals at Coursera Course details
- 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
Power Query Fundamentals at Coursera Curriculum
Getting Started
Course Introduction
Introduction to Power Query
Course Outline
Download Power Query
Overview of Course Files
Basic Transformations
Basic Transformations Objectives
What is a CSV File?
Database Normalization
Basic CSV Unpivot
Importing CSV file 1a
The Power Query Editor
Manipulating Column Headers
The Query Steps Pane
Deleting Columns
Unpivoting Columns
Filtering Blanks
Defining Data Types
Loading Query 1a to the Worksheet
CSV Import N Columns
Duplicating Queries
Modifying the Source
Importing an Unknown Number of Columns
Futureproofing Our Query
Filter Non-dates
Import CSV File 1c
Identify Column Headers
Remove Unwanted Columns
Unpivot and Rename
Date Settings
Interpreting and Filtering Dates
Loading as Connection Only
Grouped Row Headers
Fill Values Down
Thinking about the Order of Steps
Pivot Grouped Headers
Adding a Duplicate Column
Finishing Up
Learner Exercise
Clues
Review
Exercise 1z
Extracting Information
Extracting Information
A Closer Look at Filters
Creating Query Folders
Better Filters
Extracting Characters from Text
Checking Filter Logic
Import Basic Excel Files
Dealing with Ghost Columns
Splitting Columns
Referenced Queries
Splitting by Delimiter
Splitting by Character Number
An Introduction to M Code
Commenting Code
Exercise 2d - Splitting Columns into Rows
Importing an Excel Table
Split a Column into Rows
Learner Exercise
Exercise 2z - Clues
Exercise 2z - Review
What if the Dataset Grows
Exercise 2z
Consolidating Data
Consolidating Data Objectives
Exercise 3a - Grouping Data
Setting Up Our Query
Aggregating Multiple Columns
Identifying a Specific Month
Grouping Rows
Merging Tables
Two Queries from the Same File
Merging Queries
Expanding Merged Columns
Exercise 3c - Combining Identical Files
Create Query from Folder
Modifications Required before Combining
The Combined Query
Extracting Data from Each Filename
Using Filters for Investigation
Exercise 3z - Student Exercise
Clues and Challenges
Review
Exercise 3z
Dealing with Errors
Dealing with Errors Objectives
Basic Errors
Tracking Down Errors
Managing Errors in the Power Query Editor
Using Find Replace to Fix a Character Error
Errors with Date Locales
Changing a Column Date Locale
Dealing with Exceptions
Creating a Conditional Column with a Columnar Output
Creating a Conditional Column with a Text Output
Errors with File Locations
Creating a Parameter
Using a File Location Parameter
Opening the All Queries File
Student Exercise
Clues
Review
Course Summary
Exercise 4z
Qualified Assessment