Technology and the data that it both collects and makes accessible is now interwoven with businesses and lives. The era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.

Analyzing data to find issues, insights, and opportunities is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways.

Microsoft Excel® is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis, create diverse and robust data-backed visualizations to show insights and trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action.

Objectives

In this course, you will analyze and visualize data using Microsoft Excel and associated tools. You will:

  • Perform data analysis fundamentals.
  • Visualize data with Excel.
  • Analyze data with formulas and functions.
  • Analyze data with PivotTables.
  • Present visual insights with dashboards in Excel.
  • Create geospatial visualization with Excel.
  • Perform statistical analysis.
  • Get and transform data.
  • Model and analyze data with Power Pivot.
  • Present insights with reports.

Target Student

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.

Prerequisites

To ensure success, you should have baseline skills using Microsoft Excel worksheets, particularly in creating workbooks with formulas and functions. You can obtain this level of knowledge and skill by taking the following or any similar/equivalent  course:

  • Introduction to Microsoft Excel® 

Additional workplace experience with Excel is highly recommended.

Course Content:

  1. 1

    • Topic A: Data Analytics vs Data Science

    • Topic B: Create and Modify Tables

    • Topic C: Sort and Filter Data

    • Execise: Data Analysis
  2. 2

    • Topic A: Visualize Data with Charts

    • Topic B: Modify and Format Charts

    • Topic C: Apply Best Practices in Chart Design

    • Data File: Workbook Lesson 2

    • Exercise: Visualization Data with Excel
  3. 3

    • Topic A: Analyze Data with Formulas and Named Ranges

    • Topic B: Analyze Data with Functions

    • Topic C: Implement Data Validation, Forms, and Controls

    • Topic D: Create Conditional Visualizations with Lookup Functions

    • Data File: Workbook Lesson 3

    • Exercise 3: Analyzing Data with Formulas and Functions
  4. 4

    • Topic A: Create a PivotTable

    • Topic B: Analyze PivotTable Data

    • Data File: Workbook Lesson 4

    • Exercise 4: Analyzing Data with PivotTables
  5. 5

    • Topic A: Visualize Data with PivotCharts

    • Topic B: Filter Data Using Slicers and Timelines

    • Topic C: Create a Dashboard in Excel

    • Data File: Workbook Lesson 5

    • Exercise 5: Visual Insights with Dashboards in Excel
  6. 6

    • Topic A: Create Map Charts in Excel

    • Topic B: Customize Map Charts in Excel

    • Data File: Workbook Lesson 6

    • Exercise 6: Creating Gespatial Visualizations with Excel
  7. 7

    • Topic A: Visualize Trendlines and Sparklines with Excel

    • Topic B: Analyze Data with the Data Analysis ToolPak

    • Data File: Workbook Lesson 7

    • Exercise 7: Performing Statistical Analysis
  8. 8

    • Topic A: Connect to Data with Queries

    • Topic B: Clean and Combine Data

    • Topic C: Shape and Transform Data

    • Data File: Workbook Lesson 8

    • Exercise 8: Getting and Transforming Data
  9. 9

    • Topic A: Install Power Pivot in Excel

    • Topic B: Create Data Models with Power Pivot

    • Topic C: Create Power Pivots

    • Topic D: Perform Advanced Data Analysis and Visualization

    • Data File: Workbook - Lesson 9

    • Exercise 9: Modeling and Analyzing Data with Power Pivot
  10. 10

    • Topic A: Plan a Report

    • Topic B: Create a Report