This training is aimed at existing users of Microsoft Power BI who have mastered the basics and want to take their knowledge and learning to the next stage.
It's a known fact that raw data loaded into Power BI is hardly ever 'report-ready' and requires 'cleaning' to make it usable.
Unnecessary rows and columns need to be removed, data that isn't required needs to be filtered out, dates are never in the right format and often aren't even dates, columns require splitting or merging, 'weird' characters must be removed. These are just a few examples of what is meant by data cleaning.
It's a known fact that raw data loaded into Power BI is hardly ever 'report-ready' and requires 'cleaning' to make it usable.
Unnecessary rows and columns need to be removed, data that isn't required needs to be filtered out, dates are never in the right format and often aren't even dates, columns require splitting or merging, 'weird' characters must be removed. These are just a few examples of what is meant by data cleaning.
Why Should You Attend:
If you’ve mastered the basics of Power BI and the phrase 'it's taking too long' describes how you feel about the time it takes to get your raw data into the right format for your reports, this training is for you!Learning Objective:
- How to create simple solutions to quickly clean and restructure less-than ideal data
- How to combine data from multiple datasets
- How to create additional columns without complex formulas
Areas Covered in the Webinar:
- An introduction to the Power BI Query Editor
- Managing Query Steps
- Removing columns from your imported data
- Splitting a single column into multiple columns
- Applying Filters
- Cleaning date-based data
- Cleaning text-based data
- Calculations without formulas - the power of The Query Editor Ribbon
- Unpivot - the hidden gem and unsung hero of The Query Editor
Who Will Benefit:
This training is aimed at existing users of Microsoft Power BI who have mastered the basics and want to take their knowledge and learning to the next stage.Course Provider
Mike Thomas,