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Data Analysis Fundamentals using Excel

Duration : 2 Days

The main purpose of the course is to give students the ability to add analysis capabilities to Excel spreadsheets and to provide students with a foundation to learn about more advanced data analytics with Excel or Power BI.

SKU: MOC10994 Categories: , ,

Prerequisites

Before attending this course, students must have:
• Basic knowledge of the Microsoft Windows operating system and its core functionality.
• Advanced working knowledge of Excel spreadsheets including formulas.

Audience profile

This course is intended for anyone who wants to take the data analysis technologies in Excel beyond formulas and add more advanced capabilities such as dashboards, hierarchies, and relationships.

Skills gained

• Create an Excel report
• Create an Excel table
• Create a pivot table and pivot chart
• Create a dashboard and analyze data
• Create Hierarchies
• Create an Excel data model and connect to external data

Course Outline

Module 1: Reporting in Excel
This module explains how to create a report in Excel
Lessons
• Filtering and Formatting Data
• Charts
Lab : Create an Excel report
• Filtering Excel Data
• Formatting Excel Data
• Create excel Charts
After completing this module, students will be able to:
• Filter and format data.
• Create charts.

Module 2: Excel Tables
This module explains how to create data tables in Excel
Lessons
• Excel Data Tables
• Summarizing Data
Lab : Create an Excel Table
• Create an Excel Table
• Summarize Excel Data
After completing this module, students will be able to:
• Explain what Excel Data tables are.
• Sort, filter, and validate data.
• Summarize data.
• Format summarized data.

Module 3: Pivot Tables and Pivot Charts
This module describes pivot tables and pivot charts and how to work with them.
Lessons
• Pivot Tables
• Pivot Charts
• Editing Pivot Tables and Pivot Charts
Lab : Importing Data from a CSV File
• Creating a Pivot Table
• Creating a Pivot Chart
• Editing Pivot Tables and Pivot Charts
After completing this module, students will be able to:
• Describe pivot tables and how to create them.
• Describe the various elements of a pivot chart.
• Edit pivot tables and pivot charts.

Module 4: Dashboards
This module describes Excel dashboards, how to create them and the role in data analysis in Excel pivot tables.
Lessons
• Creating a Dashboard
• Data Analysis in Excel Pivot Tables
Lab : Create a Dashboard
• Arranging Tables and Charts
• Slicing Data
• Data Analysis
After completing this module, students will be able to:
• Describe a dashboard.
• Filter data using a slicer.
• Add calculated columns to a dashboard.
• Find anomalies.

Module 5: Hierarchies
This module describes hierarchies and time data.
Lessons
• Hierarchies
• Time Data
Lab : Creating Hierarchies
• Create a Hierarchy
• Configure Time data
• Create an Animated Time Chart
After completing this module, students will be able to:
• Describe hierarchies.
• Create levels within a hierarchy.
• Explain why time data is different and how to work with it.

Module 6: The Excel Data Model
This module explores the Excel data model and looks at ways of extending it.
Lessons
• Using an Excel Data Model
• External Data
Lab : Explore an Excel Data Model
• Add Multiple Tables
• Create Relationships
• Add External Data
After completing this module, students will be able to:
• Explain an Excel Data Model and how to use it.
• Import External Data and use it.
• Link out to external data.

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