﻿ Microsoft Excel 2016 Training - Power User | Stricklen Solutions
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• # Microsoft Excel 2016: Level 4 - Power User

1.0 day

### Course Objective:

You will use the advanced features of Microsoft Excel to attain proficiency as an Excel power user.

### Target Student:

This course is designed for advanced Microsoft Office Excel professionals who may work or be interested in the domain of finance, statistics, project analysis, and market analysis including the fields of micro- and macro-economics.

### Course Objectives:

Upon successful completion of this course, students will be able to:
• manipulate data using statistical and lookup functions
• analyze data using the data analysis tools in Microsoft Excel
• make investment decisions using the financial functions in Excel
• examine data using math functions in Excel
• manipulate data using text and information functions in Excel
• create templates and work with Excel's advanced chart options
• manage data in Excel workbooks.
• ## Course Content

### Lesson 1: Manipulating Data Using Statistical and Lookup Functions

1. Forecast GDP Using Statistical Functions
2. Evaluate Sales Data Using Statistical Functions
3. Analyze Stock Data Using Statistical Functions
4. Mine Data Using the Lookup and Reference Functions

### Lesson 2: Analyzing Data Using Data Analysis Tools

1. Analyze Sales Data Using Descriptive Statistics
2. Analyze Time Series Data Using Exponential Smoothing
3. Analyze Data Using Regression
4. Identify the Beta Value of a Security
5. Analyze Sector Data Using Correlation and Covariance Matrices
6. Optimize a Stock Portfolio Using Solver

### Lesson 3: Working with Data Using Financial Functions

1. Develop an Investment Schedule Using Financial Functions
2. Make Investment Decisions Using Financial Functions

### Lesson 4: Examining Data Using Math Functions

1. Analyze Sales Data Using Math Functions
2. Calculate Stock Returns Using Math Functions
3. Aggregate GDP Data Using Math Functions

### Lesson 5: Manipulating Data Using Text and Information Functions

1. Manipulate Data Using Text Functions
2. Validate Data Using Information Functions