308: 21 Ways Excel will Make You Love Data Analytics

Track: Data Analytics

Session Number: 308
Date: Fri, Jul 28th, 2017
Time: 11:00 AM - 12:30 PM

Description:

You do not need to have expensive software to analyze data. Excel is a robust program with a large array of tools to hang in your data analysis belt. Decision Analytics and Predictive Analytics skills are becoming a must-have in many prospect research and management shops. Using some of Excel’s most popular features, the presenter will demonstrate several ways to aggregate data, visualize information and create meaningful reports. Whether it is a quick overview or a more in-depth examination, attendees will leave with the knowledge needed to put Excel to work for them.

To download the PPT version of this presentation, please visit: https://www.dropbox.com/l/scl/AADqhkoG0jYoCDz6w9VaWQGo7j4uXS4jiXU
Session Type: Breakout Session (90 minutes)

Primary Competency: DA:Competency 3: Data Manipulation Skills
Secondary Competency: DA:Competency 4: Statistical Techniques and Competencies
Tertiary Competency: DA:Competency 5: Visualization/Reporting Techniques and Competencies
Intended Audience Level: Level I, Level II
Learning Objective #1: Excel will be demonstrated as a reasonably easy and affordable way to approach Data Analysis.
Learning Objective #2: Attendees will learn several of the Excel tools that can be used to dissect data and present their information.
Prerequisites: A working knowledge of Excel.
Session Type: Breakout Session (90 minutes)

Primary Competency: DA:Competency 3: Data Manipulation Skills
Secondary Competency: DA:Competency 4: Statistical Techniques and Competencies
Tertiary Competency: DA:Competency 5: Visualization/Reporting Techniques and Competencies
Intended Audience Level: Level I, Level II
Learning Objective #1: Excel will be demonstrated as a reasonably easy and affordable way to approach Data Analysis.
Learning Objective #2: Attendees will learn several of the Excel tools that can be used to dissect data and present their information.
Prerequisites: A working knowledge of Excel.