
Discover the data transformation power of Power Query and Power BI, from Excel to business intelligence, and boost job security through analytics skills.
Discover Power Query principles and time-saving data analytics strategies that empower you to work faster. Advance your career with data management skills within everyone's reach.
Explore conditional columns in Power Query, learning to create new columns with if-then-else rules, manage data types, and transform datasets for cleaner results.
Create and apply conditional columns in Power Query to categorize data by age, animal type, and text patterns, follow exercises, and learn how to clean and transform data for analysis.
Explore the differences and similarities between conditional and custom columns for Power Query, and learn when formulas or the column from examples feature best shape data.
Explore manual and waterfall Power Query methods to convert dates to year text with a prefix, using step-by-step editor formulas and time-travel-like rollback.
Use power query to transform data: split columns to isolate dog or cat, filter out squirrels, remove columns, and group by to compute the average age for dogs and cats.
Master functions and formulas in the Power Query language to transform data with custom columns, and find key functions via online reference, a reference sheet, or the formula bar.
Discover how to speed Power Query tasks with a personal reference sheet of common formulas, including date to text, date month, and text upper, plus quick example workflows.
Explore creating and filtering Power Query custom queries: open a blank query, use formula reference, convert records to tables, apply text and date filters, and save as table or connection.
Discover how to copy Power Query functions across workbooks using the advanced editor, create new blank queries, paste, rename, and load as a connection.
Explore advanced Power Query techniques with waterfall queries: convert dates to text, create custom columns, merge and concatenate fields, and optimize formulas for one-step results.
Scenario: You are the lead sales analyst for DogCatSquirrel Inc. and just received an Excel file containing sales results for FY17 Q1 (Jan, Feb, Mar).
You must clean and analyze this data for two purposes:
1) bonus and commissions payments
2) to determine company performance during Q1
Note: to create 'State' column, use
This video contains a detailed example of how I used Power Query to create the data table.
3rd in my series of Udemy courses on mastering data cleaning in the age of big data
Every day is a training day for your next job opportunity. Prepare by making data transformations that are simple to use and quick. People notice, and you will have a solid career. Microsoft has the right tool for this. It’s called Excel Power Query. Want to use it like a pro?
Advanced Excel Power Query Will Strengthen Your Data Analytics Career
'Learn by doing' with downloadable exercise files, step-by-step video demonstrations and three-part 'Case Study' assignment that reinforces the knowledge you gained
Custom columns, the Power Query Formula Language (‘M’ code), embedded functions and much more
Dozens of tips & tricks focused on Power Query's best features
Control Your Data Instead Of Letting It Control You
I designed this course for data users of all levels. There is something here for everyone. We’ll solve some of the most common data cleansing problems encountered by data analysts. You’ll walk away with first-rate knowledge valued in the job market. It's essential for developing your data career.
Companies are moving to Excel Power Query for next generation data analysis power. Let me prepare you for the career that companies need.
By taking this course, you will say "Wow. It didn't know I could do that with Power Query!"