Microsoft® Office Excel® 2007: Level 4

Course Specifications

Course number: 084068
Software: Microsoft® Office Excel® 2007
Course length: 1.0 day(s)

Course Description

You are a relatively proficient user of Microsoft® Office Excel® 2007, and you now wish to take advantage of the advanced features and techniques used in Microsoft® Office Excel® 2007. Excel has many tools and functions that help you in analyzing varied data to make decisions having large scale implications on profitability, be it in the domain of sales, project management, credit, equities, futures, options, currency, and so on. In this course, you will use the advanced features of Microsoft® Office Excel® 2007 to attain a high degree of proficiency as an Excel power user.

Course Objective: You will use the advanced features of Microsoft® Office Excel® 2007 to attain a high degree of 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.

Prerequisites: Excel 2007 knowledge, including how to create, edit, format, and print worksheets that include charts and sorted and filtered data is required. You should also know how to write and edit simple formulas. To ensure your success, we recommend the following Element K courses, or equivalent knowledge: Delivery Method: Instructor led, group-paced, classroom-delivery learning model with structured hands-on activities.

Hardware Requirements

For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configuration:

Platform Requirements

Software Requirements

Performance-Based Objectives

Upon successful completion of this course, students will be able to:

Course Content

Lesson 1: Manipulating Data Using Statistical and Lookup Functions
Topic 1A: Forecast GDP Using Statistical Functions
Topic 1B: Evaluate Sales Data Using Statistical Functions
Topic 1C: Analyze Stock Data Using Statistical Functions
Topic 1D: Mine Data Using the Lookup and Reference Functions

Lesson 2: Analyzing Data Using Data Analysis Tools
Topic 2A: Analyze Sales Data Using Descriptive Statistics
Topic 2B: Analyze Time Series Data Using Exponential Smoothing
Topic 2C: Analyze Data Using Regression
Topic 2D: Identify Beta Value of a Security
Topic 2E: Analyze Sector Data Using Correlation and Covariance Matrix
Topic 2F: Optimize Stock Portfolio Using Solver

Lesson 3: Working with Data Using Financial Functions
Topic 3A: Develop an Investment Schedule Using Financial Functions
Topic 3B: Make Investment Decisions Using Financial Functions

Lesson 4: Examining Data Using Math Functions
Topic 4A: Analyze Sales Data Using Math Functions
Topic 4B: Calculate Stock Returns Using Math Functions
Topic 4C: Aggregate GDP Data Using Math Functions

Lesson 5: Manipulating Data Using Text and Information Functions
Topic 5A: Manipulate Data Using Text Functions
Topic 5B: Validate Data Using Information Functions

Lesson 6: Working with Templates and Charts
Topic 6A: Create Advanced Templates
Topic 6B: Create Advanced Charts

Lesson 7: Managing Data in Workbooks
Topic 7A: Retrieve and Paste Data
Topic 7B: Determine the Conditional Sum
Topic 7C: Identify Specific Data Using the Lookup Wizard
Topic 7D: Clean Data in Workbooks