If you import or copy/paste data into Excel, you can probably automate many of the related manual tasks using Power Query. Traditionally, we spend a lot of time in Excel simply preparing data for use, for example, getting it ready for a PivotTable, formula-based report, or upload. Then, we get to repeat those same manual steps next month, and the next. Power Query changes all of that because once we define the steps needed to prepare the data, it becomes a simple refresh next period … and every subsequent period :-)
Outline
Lesson 1: Introduction
Lesson 2: Data Sources
Lesson 3: Combining Multiple Sources
Lesson 4: Transforming and Cleaning Data
Lesson 5: Data Destinations and Refreshing Queries
Lesson 6: M Language
Lesson 7: Parameter Tables and Custom Functions
Lesson 1: Introduction
1.01 What is Power Query (3:00)
1.02 Installing Power Query (2:24)
1.03 Interface (4:31)
Exercises, Quiz, and Additional Resources
Lesson 2: Data Sources
2.01 From Web (6:35)
2.02 From Excel File (4:07)
2.03 From Current Workbook (4:07)
2.04 From CSV or Text File (2:48)
2.05 From Folder (11:41)
2.06 From Database (SQL) (6:54)
2.07 From Other Sources (OData feed) (2:13)
2.08 Online Search/Data Catalog Search (5:23)
Exercises, Quiz, and Additional Resources
Lesson 3: Combining Multiple Sources
3.01 Tables or Named Ranges (3:33)
3.02 Worksheet data (7:01)
3.03 Appending Queries (7:24)
3.04 Merging Queries (15:18)
3.05 Query Dependencies View (4:03)
Exercises, Quiz, and Additional Resources
Lesson 4: Transforming and Cleaning Data
4.01 Editing Queries (2:47)
4.02 Data Types (3:17)
4.03 Fixing Dates with Locale (4:46)
4.04 Columns (2:35)
4.05 Splitting Columns (9:09)
4.06 Merging Columns (1:25)
4.07 Filtering Rows (4:56)
4.08 Remove Duplicates and Errors (3:24)
4.09 Sorting (1:57)
4.10 Replace and Fill (1:59)
4.11 Text and Numbers (3:20)
4.12 Transforming Dates (5:35)
4.13 Custom and Index Columns (7:44)
4.14 Custom Calculated Columns (4:25)
4.15 Custom Date and Time Columns (5:50)
4.16 Grouping (3:14)
4.17 Unpivot (3:34)
4.18 Transpose (2:54)
4.19 Duplicate and Reference (3:53)
4.20 Add Column from Examples (5:50)
Exercises, Quiz, and Additional Resources
Lesson 5: Data Destinations
5.01 Loading to the Workbook Options (4:08)
5.02 Loading to the Data Model (3:57)
5.03 Settings and Refresh (2:40)
5.04 Load to Power Pivot in 2010 (4:57)
Exercises, Quiz, and Additional Resources
Lesson 6: M Language
6.01 Introduction to M (2:24)
6.02 Edit and Write M (2:59)
6.03 Add Column with Function (7:58)
6.04 Reading M (5:52)
6.05 Formula Bar and Advanced Editor (3:35)
6.06 Type System (2:45)
6.07 Lists and Records (8:34)
6.08 Splitting Text (6:19)
6.09 Tips for Writing M (5:43)
6.10 Commenting Code (1:53)
6.11 Error Trapping (5:43)
6.12 If and Nested If (4:04)
6.13 If OR and If AND (5:09)
6.14 Conditional Columns (2:57)
Exercises, Quiz, and Additional Resources
Lesson 7: Parameter Tables and Custom Functions
7.01 Parameter Tables for Filtering (11:06)
7.02 Scrape Data from Web Pages (10:34)
7.03 Dynamic Folder Paths (11:40)
7.04 Dynamic File Paths (8:08)
7.05 Formula Firewall Errors (5:27)
7.05 Manage Parameters (13:11)
Exercises, Quiz, and Additional Resources
Review and Final Exam
Final Exam
Certificate of Completion
Course Evaluation
Materials
The course includes the following course materials:
Online lecture videos
Sample Excel files
Slide Handout PDF
Glossary
Index
Download videos to your computer
E-book: M is for (Data) Monkey by Ken Puls and Miguel Escobar
Objectives
Recall how to import multiple files in a single query
Identify the effects made to the original data source with Power Query
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