20779: Analyzing Data With Excel Training in Lansing

Enroll in or hire us to teach our 20779: Analyzing Data With Excel class in Lansing, Michigan by calling us @303.377.6176. Like all HSG classes, 20779: Analyzing Data With Excel may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, 20779: Analyzing Data With Excel may be taught at one of our local training facilities.

Answers to Popular Questions:

 
Yes, this class can be tailored to meet your specific training needs.
Yes, we provide consulting services.
Yes, group discounts are provided.

Course Description

 
The Microsoft SQL Server 2016 Training Course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data... After completing this Microsoft SQL Server 2016 Training Course, students will be able to: - 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 Length: 3 Days
Course Tuition: $1090 (US)

Prerequisites

- Basic knowledge of the Microsoft Windows operating system and its core functionality. - Good Knowledge of Excel spreadsheets, functions, and charts. Working knowledge of relational databases.

Course Outline

 
 
Module 1: Data Analysis in ExcelThis module looks at the classic Excel dashboard and at ways to extend it.
 
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
Building a Pivot Chart
Building a Dashboard
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
 
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
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
 
This module looks at pre-formatting and importing CSV files.
 
Lessons
 
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
 
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
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
 
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
After completing this module, students will be able to:
 
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
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
 
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
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
 
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
 
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.
 
 
 
 
 
 

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