Microsoft Excel Part 2: Analyzing and Presenting Data

Enhance your data management skills with Microsoft Excel Part 2: Analyzing and Presenting Data, designed for professionals seeking to leverage advanced Excel functionalities for superior data analysis and presentation.

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Essential Skills Gained

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Work with complex Excel functions.

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Analyze and organize large datasets.

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Visualize data using advanced chart features.

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Implement PivotTables and PivotCharts for dynamic reporting.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Data Analysts
  • Business Managers
  • Financial Analysts
  • IT Professionals

Description

Whether you need to crunch numbers for sales, inventory, information technology, human resources, or other organizational purposes and departments, the ability to get the right information to the right people at the right time can create a powerful competitive advantage. After all, the world runs on data more than ever before and that's a trend not likely to change, or even slow down, any time soon. But with so much data available and being created on a nearly constant basis, the ability to make sense of that data becomes more critical and challenging with every passing day. You already know how to get Microsoft® Office Excel® to perform simple calculations and how to modify your workbooks and worksheets to make them easier to read, interpret, and present to others. But, Excel is capable of doing so much more. To gain a truly competitive edge, you need to be able to extract actionable organizational intelligence from your raw data. In other words, when you have questions about your data, you need to know how to get Excel to provide the answers for you. And that's exactly what this course aims to help you do.

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Upcoming Course Dates

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Course Outline

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Lesson 1: Working with Functions

  1. Work with Ranges

  2. Use Specialized Functions

  3. Work with Logical Functions

  4. Work with Date and Time Functions

  5. Work with Text Functions

Lesson 2: Working with Lists

  1. Sort Data

  2. Filter Data

  3. Query Data with Database Functions

  4. Outline and Subtotal Data

Lesson 3: Analyzing Data

  1. Create and Modify Tables

  2. Apply Intermediate Conditional Formatting

  3. Apply Advanced Conditional Formatting

Lesson 4: Visualizing Data with Charts

  1. Create Charts

  2. Modify and Format Charts

  3. Use Advanced Chart Features

Lesson 5: Using PivotTables and PivotCharts

  1. Create a PivotTable

  2. Analyze PivotTable Data

  3. Present Data with PivotCharts

  4. Filter Data by Using Timelines and Slicers

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