
Learn to import multiple files from a folder with Power Query, filter out unwanted files, stack data into a table, and load it into the data model for Power Pivot.
Use merge queries to compare two tables and remove discontinued items from the products list.
Open the Power Pivot window via the Power Pivot tab or data model button, then use data view to add calculated columns and measures, and diagram view to see relationships.
Hide fields from client tools to reduce pivot table clutter without removing them from the data model, preserving relationships while masking S.P.I D, store, and product in Power Pivot.
Group and organize Power Query queries into staging folders to tidy your workbook, drag queries between groups, and unload unused queries from the data model to reduce clutter.
Create your first DAX measure using Power Pivot by clicking the measures button, selecting the fact table, and writing a sum formula for units sold named total units.
Learn to calculate year-to-date revenue using the DATESYTD function in Power Pivot, filtering a total revenue measure with CALCULATE on a calendar date column.
Open the six hyphen six practice exercise workbook and complete the instructions on the instructions worksheet; then compare your DACS measures with the completed examples and explore creating your own.
Turn pivot tables and pivot charts into a polished end report by creating a dynamic chart title with get pivot data and the text function to format currency.
Watch this video to access downloadable exercise files linked to exercises, learn to download and unzip them, and adjust video quality and playback speed.
Import and combine multiple csv files from a folder into Power BI Desktop, transform and clean data, and load the SAOs prep query to the model, yielding 1.2 million rows.
Import data from an Excel workbook and a text file using Power Query, preview tables, adjust headers and data types, and load the results into Power BI for analysis.
Fix broken query sources by editing the source path in Power Query. Browse to the new file location and refresh to apply changes.
**This course includes practice exercise files**
Learn Microsoft Power BI and Power Pivot, Power Query and DAX in Excel in this two-course bundle from Microsoft experts Simon Sez IT.
We've combined two of our best data analysis courses to create this huge-value bundle. If you have reached your limit in Excel and you need to analyze and make sense of huge amounts of data, then you need Power Pivot, Power Query and Power BI. These tools can help you take your existing data-crunching capabilities to new heights!
Power Pivot, Power Query and DAX
In this advanced Excel course, we look at three crucial advanced Excel features Power Pivot, Power Query, and DAX. This suite of Excel functions allows you to manipulate, analyze, and evaluate millions of rows of data from Excel or other databases.
We first look at how to bring your data together, merge, and clean it using Power Query before moving onto creating relationships between our data tables and building out a data model. We then look at performing calculations on our data model using DAX, and finally, we look at displaying our analysis using PivotTables and PivotCharts.
***Exercise and demo files included***
In the Power Pivot, Power Query & DAX course you will learn:
How to get started with Power Query
How to connect Excel to multiple workbooks
How to get data from the web and other sources
How to merge and append queries using Power Query
How the Power Pivot window works
How to set up and manage relationships in a data model
How to create a PivotTable to display your data from the Power Pivot data model
How to add calculated columns using DAX
How to use functions such as CALCULATE, DIVIDE, DATESYTD in DAX
All about creating Pivot Charts and PivotTables and using your data model
How to use slicers to adjust the data you display
Power BI
Power BI is an incredibly powerful, self-service Business Intelligence (BI) solution from Microsoft. It is the perfect Business Intelligence tool for people with limited technical experience.
In this Power BI course, we start by looking at Power Query, and how to use this tool to organize and clean our data. We then show you how to build a Data Model and relate separate tables. After that, we teach you all about the data analysis language DAX in Power BI. Finally, we look at how to present this data using the charts and graphs available.
In the Power BI course you will learn:
What is Power BI and why you should be using it.
To import CSV and Excel files into Power BI Desktop.
How to use Merge Queries to fetch data from other queries.
How to create relationships between the different tables of the data model.
All about DAX including using the COUTROWS, CALCULATE, and SAMEPERIODLASTYEAR functions.
All about using the card visual to create summary information.
How to use other visuals such as clustered column charts, maps, and trend graphs.
How to use Slicers to filter your reports.
How to use themes to format your reports quickly and consistently.
How to edit the interactions between your visualizations and filter at visualization, page, and report level.
***Exercise files included***
This course includes:
7+ hours of video tutorials
89 individual video lectures
Exercise files to practice what you learned
Certificate of completion
Here’s what our students are saying…
"Very detailed course, really enjoyed the Power BI section. Simon has done a really good job explaining each process step. Looking forward to completing additional Power BI courses for advance techniques."
- Martin
"Brilliant course. I'm quite new to the world of POWER and this course has shown me what it can do in a way that a newbie can understand. Recommended. I will be looking for other courses by them."
- Andrew
"Extremely clear instructions and has framed the subject matter as usable in the real world as opposed to just an academic sample. I was exposed to Power Pivot in one of my classes in college but it was presented in a way that made it difficult to apply to my work. Glad I found this course!"
- Jeff
"The best course where you can get the knowledge from Advance Excel to Power Bi. Highly recommended for Excel data analyst."
- Sabari