- This course has passed.
Microsoft Excel 2013 / 2016 Level 2
July 30, 2019 @ 8:30 am - 4:00 pm$275
Course Duration Method: 1 day (8:30 a.m. – 4:00 p.m.), Instructor-Led Training
This course builds upon the foundational knowledge presented in the Microsoft Excel 2013 / 2016 Level 1 course and will help start you down the road to creating advanced workbooks and worksheets that can help deepen your understanding of organizational intelligence. The ability to analyze massive amounts of data, extract actionable information from it, and present that information to decision makers is at the foundation of a successful organization that is able to compete at a high level.Read More
Upon successful completion of this course, you will be able to leverage the power of data analysis and presentation in order to make informed, intelligent organizational decisions.
- Work with functions.
- Work with lists.
- Analyze data.
- Visualize data with charts.
- Use PivotTables and PivotCharts.
This course is designed for people who already have foundational knowledge and skills in Excel 2013 / 2016 and who wish to begin taking advantage of some of the higher-level functionality in Excel to analyze and present data.
Lesson 1: Working with Functions
Topic A: Work with Ranges
Topic B: Use Specialized Functions
Topic C: Work with Logical Functions
Topic D: Work with Date & Time Functions
Topic E: Work with Text Functions
Lesson 2: Working with Lists
Topic A: Sort Data
Topic B: Filter Data
Topic C: Query Data with Database Functions
Topic D: Outline and Subtotal Data
Lesson 3: Analyzing Data
Topic A: Create and Modify Tables
Topic B: Apply Intermediate Conditional Formatting
Topic C: Apply Advanced Conditional Formatting
Lesson 4: Visualizing Data with Charts
Topic A: Create Charts
Topic B: Modify and Format Charts
Topic C: Use Advanced Chart Features
Lesson 5: Using PivotTables and PivotCharts
Topic A: Create a PivotTable
Topic B: Analyze PivotTable Data
Topic C: Present Data with PivotCharts
Topic D: Filter Data by Using Timelines and Slicers