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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numeracy-in-the-workplace/
课程评论：没有评论
**课程名称：** 工作场所的读数能力 - 数字致胜 (Numeracy in the Workplace - Winning with Numbers) **课程概述：** 本课程旨在帮助您掌握重要的日常数值概念，提升您在职场中使用数字的信心。在数据即“新黄金”的经济时代，组织急需能够处理数字的决策者。无论是在商店谈判还是在商业决策方面，掌握数字都将让您更加自信。 本课程是解读数据以做出更好决策、提升业务绩效的前提。它专为希望更有效地使用和解读数值数据的管理者而设计。 **课程内容：** * **更新基础数学原理：** 复习并巩固基础数学知识。 * **利用比率和百分比：** 学习如何准确地用比率和百分比描述现实情况。 * **变量与方程：** 掌握变量和方程的基本概念及其应用。 **课程模块（共六个）：** 1. **数字处理与分类：** 学习如何处理数字并区分不同类型的数字。 2. **分数运算：** 掌握分数的各项运算，理解等值分数的重要性。 3. **小数运算：** 学习小数的基本概念，包括分数与小数的转换及数字取整。 4. **百分比应用：** 学习如何用百分比表达数量关系，如何将一个数量表示为另一个数量的百分比。 5. **比率与比例：** 学习比率和比例的概念，包括本地与外币的转换。 6. **变量、方程与图表：** 探讨变量、方程与图表之间的关系。 **讲师：** Matthew Bernath (数据科学领导者) **开发机构：** DMSA
Numeracy in the Workplace - Gaining confidence in working with numbersThis course is designed to introduce you to important everyday numerical concepts. It is more important than ever to understand basic numeracy, and this course aims to take you through the basics one step at a time. In an economy where data has become the ‘new gold', organisations need decision makers who can work with numbers. From negotiating in stores to making business decisions, be more confident than ever when working with numbers.This is a pre-requisite for interpreting data to make better decisions to improve business performance. Numeracy in the Workplace has been developed for managers who want to become more effective at using and interpreting numeric data.This course:Refreshes fundamental maths principlesWill help you to use ratios and percentages to accurately describe realityTakes you through variables and equations.The course has six modules that cover:Working with numbers and distinguishing the different types of numbersWorking with fractions and appreciation the importance of equivalent fractions, as well as the four rules of fractionsWorking with decimals including converting fractions into decimals and rounding numbersPercentages and expressing one quantity as a percentage of anotherRatios and proportions including converting local to foreign currenciesVariables and equations and how these relate to graphsThis course was developed by DMSA and is presented by Data Science leader Matthew Bernath.
