Skip to content

Classes Data & Analytics

ISI-1522 Microsoft Taught by us

Collect & Transform Data Using Power Query in Excel & Power BI

  • 2 days
  • 2 upcoming dates

Upcoming dates

All times shown in the class's own timezone. Dates we teach ourselves run once 1 people are booked, so a pair of seats confirms one.

Dates Starts Where Status Seat Book
Oct 20-21 9:00 AM to 4:00 PM PDT Taught by us Live virtual RUNS WITH 1+ $1,595
Jan 5-6 9:00 AM to 4:00 PM PST Taught by us Live virtual RUNS WITH 1+ $1,595

About this class

We have 2 scheduled dates of Collect & Transform Data Using Power Query in Excel & Power BI, from Oct 20-21 through Jan 5-6. We teach this one ourselves, with our own instructors and courseware. Seats are $1,595 each over 2 days, courseware included. Book online with a card, or send a purchase order and we will invoice on net 30 terms.

Which Power BI Course Should I Take?

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

  • Explore and extend a classic Excel dashboard.
  • Explore and extend an Excel data model.
  • Pre-format and import a .CSV file.
  • Import data from a SQL Server database
  • Import data from a report.
  • Create measures using advanced DAX functions.
  • Create data visualizations in Excel.
  • Create a Power BI dashboard with Excel.

Course outline

Module 1 Data Analysis in Excel

  • 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 After completing this module, students will be able to:
  • 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

  • Using an Excel Data Model
  • DAX Lab : Explore an Excel Data Model
  • Create Calculated Columns
  • Format Data Model Data
  • Create Measures
  • Analyze the Data After completing this module, students will be able to:
  • Describe an Excel data model
  • View data within an Excel data table
  • Describe DAX

Module 3 Importing Data from Files

  • Importing Data into Excel
  • Shaping and Transforming Data
  • Loading Data Lab : Importing Data from a CSV File
  • Import and Transform Data from a CSV File
  • Add Data from a Folder After completing this module, students will be able to:
  • Import data into excel.
  • Shape and transform data.
  • Load data.

Module 4 Importing Data from Databases

  • 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 After completing this module, students will be able to:
  • 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

  • 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 After completing this module, students will be able to:
  • Import data from Excel reports.
  • Transform Excel report data.

Module 6 Creating and Formatting Measures

  • DAX
  • Measures
  • Advanced DAX Functions Lab : Creating Measures using Advanced DAX Functions
  • Last year comparison
  • Year to date
  • Market Share After completing this module, students will be able to:
  • 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

  • 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 After completing this module, students will be able to:
  • 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 Excel with Power BI

  • 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 After completing this module, students will be able to:
  • Describe Power Bi and the various versions available.
  • Upload Excel data to Power BI.
  • Describe the Power BI App.

Before you attend

Before attending this course, students must have:

-Basic knowledge of the Microsoft Windows operating system and its core functionality. -Working knowledge of relational databases. -Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals. -Basic knowledge of data analytics equivalent to having attended course 10994.

How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.

Request a quote

Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.

Class Collect & Transform Data Using Power Query in Excel & Power BI

No obligation, and we don't add you to a mailing list.