Data Data Everywhere
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Data, Data Everywhere
This book is an easy-to-read primer that describes what it takes to increase student achievement at every grade level, subject area, and student group. Readers will learn how to use data to drive their continuous improvement process as they develop an appreciation of the various types of data, uses for data, and how data are involved with the school improvement process. Online Course Available through a partnerhip with Knowledge Delivery Systems. Click here for more information. (CEUs may be available through your district.)
Excel for the CFO
Written specifically for finance managers, Excel for the CFO explains the best features of Excel that allow for the automation of regular processes and help reduce the processing time spent on analytics. The book explores the entire gamut of finance-related functions and is focused on practical approaches to using Excel—including Pivot Tables, Goal Seek, Scenario Builder, and VBA—in problem solving to deliver quality results. Using case studies across all types of organizations to demonstrate the application of Excel-based automation, the scenarios covered include the automation of financial analysis models, the creation of income statement and balance sheet templates, converting numbers to words for check printing, and much more. Any finance executive who manages the company's business affairs and makes critical decisions by analyzing data would be directly benefitted by using the tips and techniques presented in this guide.
Statistics, 3E
Author: Robert A. Donnelly, Jr., Ph.D.
language: en
Publisher: Dorling Kindersley Ltd
Release Date: 2016-07-12
Statistics is a class that is required in many college majors, and it's an increasingly popular Advanced Placement high school course. In addition to math and technical students, many business and liberal arts students are required to take it as a fundamental component of their majors. A knowledge of statistical interpretation is vital for many careers. Idiot's Guides: Statistics explains the fundamental tenets in language anyone can understand. Content includes: - Calculating descriptive statistics - Measures of central tendency: mean, median, and mode - Probability - Variance analysis - Inferential statistics - Hypothesis testing - Organizing data into statistical charts and tables