Collect & Transform Data Using Power Query in Excel & Power BI ISI-1522
Collect, combine and transform data
- 2 upcoming dates
- $1,595 per seat
Upcoming dates
| Dates | Where | Status | Seat | Book |
|---|---|---|---|---|
| Oct 20–21 2026 | Live Online 9:00 AM to 4:00 PM PT | Scheduled | $1,595 | |
| Jan 5–6 2027 | Live Online 9:00 AM to 4:00 PM PT | Scheduled | $1,595 |
About this class
Using Power Query you can import, reshape and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI and other Microsoft products. Discover how to eliminate time-consuming manual data preparation, solve commons problems, avoid pitfalls and more
What you'll be able to do
- Describe classic data analysis with Excel
- Describe Excel pivot tables
- Describe the limitations of classic data analysis with Excel
- Module 2: The Excel Data Model
- This module looks at the classic Excel data model and at ways to extend it.
- Lessons
- Using an Excel Data Model
- DAX
- Lab : Explore an Excel Data Model
- Create Calculated Columns
- Format Data Model Data
- Create Measures
- Analyze the Data
- Describe an Excel data model
- View data within an Excel data table
- Describe DAX
- Module 3: Importing Data from Files
- This module looks at pre -formatting and importing CSV files.
- Lessons
- Importing Data into Excel
- Shaping and Transforming Data
- Loading Data
- Lab : Impor ting Data from a CSV File
- Import and Transform Data from a CSV File
- Add Data from a Folder
- Import data into excel.
- Shape and transform data.
- Load data.
- Module 4: Importing Data from Databases
- This module looks at how to import data into Excel from a SQL Server database.
- Lessons
- Available Data Sources
- Previewing, Shaping, and Transforming Data
- Table Relationships and Hierarchies
- Loading Data
- Lab : Import Data from Multiple Sources
- Import Data from SQL Server
- Import Data from a CSV File
- Create a Data Table
- Identify available data sources.
- Preview, shape, and transform data.
- Explain table relationships and hierarchies.
- Load data from various sources .
- Module 5: Importing Data from Excel Reports
- This module describes how to import data from a report.
- Lessons
- Importing Data from Excel Reports
- Transforming Excel report Data
- Lab : Importing Data from a Report
- Import Data from Excel
- Transform the Excel Data
- Load the Data into an Excel Data Model
- Import data from Excel reports.
- Transform Excel report data.
- Module 6: Creating and Formatting Measures
- This module describes how to create and format measures.
- Lessons
- DAX
- Meas ures
- Advanced DAX Functions
- Lab : Creating Measures using Advanced DAX Functions
- Last year comparison
- Year to date
- Market Share
- Explain what DAX is and when to use it.
- Describe a measure.
- Use some of the advanced functions within DAX.
- Module 7: Visualizing Data in Excel
- This module describes how to visualize data in Excel.
- Lessons
- Pivot Charts
- Cube Functions
- Charts for Cube Functions
- Lab : Data Visualization in Excel
- Create a Tabular Report
- Create a Pivot Chart
- Add Slicers to Charts
- Create and refine a pivot chart.
- Describe cube functions and when to use them.
- Describe a number of charts for use with cube functions.
- Module 8: Using E xcel with Power BI
- This module describes how to use Excel with Power BI.
- Lessons
- Power BI
- Uploading Excel Data to Power BI
- Power BI Mobile App
- Lab : Creating a Power BI Dashboard with Excel
- Uploading Excel Data
- Creating a Power BI Dashboard
- Upload Excel data to Power BI.
- Describe the Power BI App.
- Course ISI-1522 3 Days Instructor -led, Hands on
- Course Information
- The main purpose of this three-day, instructor -
- with Power BI
- add BI techniques to Excel data analysis. The course goes beyond the capabilities of
- tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI.
- This course is intended for students who are experienced with analyzing data with Excel
- to add BI techniques.
- The course will likely be attended by SQL Server report creators who are interested in
- alternative methods of presenting data.
- Explore and extend a classic E xcel dashboard.
- Explore and extend an Excel data model.
- Pre -format and import a .CSV file.
- Import data from a SQL Server database
Course outline
Module 1Data Analysis in Excel
- This module looks at the classic Excel dashboard and at ways to extend it.
- Lessons
- Classic Data Analysis with Excel
- Excel Pivot Tables
- Limitations of Classic Data Analysis
- Lab : Building a Classic Excel Dashboard
- Filtering and Formatting Data
- Building a Pivot Table
- Adding pivot charts and a slicer
Download the full outline (PDF)
Before you attend
Import data from a report. Create measures using advanced DAX functions. Create data visualizations in Excel. Create a Power BI dashboard with Excel. Before attending this course, students must have: Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. readsheets including formulas, charts, filtering, sorting, and sub-totals. Basic knowledge of data analytics equivalent to having attended course 10994.
Run this for a team
Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.
More data & analytics classes
Certified Data Science Practitioner (CDSP)
- $3,495 per seat
CompTIA Data+
- $2,495 per seat
Crystal Reports Designer Level 1
- $990 per seat
