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Analyzing Data with Excel 2016 (20779)

COURSE TYPE

Intermediate

Course Number

8433

Duration

3 Days

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This 3-day instructor led course is designed to give students the ability to add BI techniques to Excel data analysis, from importing data from various data sources, to creating data visualisations and Power BI dashboards.

This is a Microsoft Official Course (MOC) delivered by a Learning Tree expert instructor.

You Will Learn How 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

Important Course Information

Requirements:

  • Before attending this course, students must have:
    • 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

Redeem Your Microsoft Training Vouchers (SATV):

Course Outline

  • Module 1: Data 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
  • 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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Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition Fee due 30 days after you attend your course.

In the Classroom

Live, Online

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With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.

On Demand +
Instructor Coaching

Private Team Training

In the Classroom — OR — Live, Online

Tuition Fee — Standard: £1495  

AFTERNOON START: Attend these live courses online via Anyware

20 - 22 Dec (3 Days)
2:00 PM - 9:30 PM GMT
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

28 Feb - 2 Mar (3 Days)
2:00 PM - 9:30 PM GMT
Alexandria, VA / Online (AnyWare) Alexandria, VA / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

27 - 29 Jun (3 Days)
2:00 PM - 9:30 PM BST
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

Guaranteed to Run

On Demand + Instructor Coaching
Tuition Fee — £575

With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.

PLUS, we include access to a Microsoft Certified Trainer (MCT) to help you prepare for your certification exam and help you apply your new skills immediately… Learning Tree knows how to bring learning to life!

  • Flexibility to take the course on your own time, at your own pace
  • Forever access to the digital course materials – for any refreshers
  • You will receive a code with your purchase. The code may be redeemed for online access to this On Demand course for up to six months
  • Upon course activation, the MOC On Demand videos and labs are available for three months
  • 2 FREE hours of individual coaching from an MCT Learning Tree Instructor
  • This delivery is also eligible for Microsoft Assurance Training Vouchers (SATVs)

GET STARTED

For enrolling multiple subscribers at the same time, contact us »

Private Team Training

Enroling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 0800 282 353 or Click here »

Tuition Fee

Standard

In Classroom or
Online

Standard

£1495

On Demand

£575*

Private Team Training

Contact Us »

*prices exclude applicable taxes


Course Tuition Fee Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Note: The Sandbox is not available for the On-Demand option.

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Training Hours

Standard class hours:
9:00 a.m. - 4:30 p.m.

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