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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-and-statistics-for-business-and-economics/
课程评论：没有评论
课程名称：《数据与统计（商业与经济）》 概览：这门统计课程是您学习如何使用图形和数值方法来理解大量数据的第一步。课程参与者来自130多个国家，包括统计初学者和其他领域的专业人士。许多学生表示：“课程简单易懂，图形清晰易读。”——琳达·奇斯霍姆。还有人说：“讲师讲解了在Excel中计算频率的三种不同方法。”——黛安·戴。 课程描述：这门统计课程旨在帮助学生和企业学习如何总结数据并有效地传达结果。课程将带您通过表格、图形和数值方法，将数据转化为信息，使用Microsoft Excel。此课程没有先决条件，我会从基础概念开始教学。您将在3小时内学习到以下内容： - 数据基本知识及其收集技术和类型 - 可用于总结数据的表格和图形方法（以及在Excel中的操作），依赖于数据类型 - 如何选择适合的图表类型总结数据的提示（并非所有图表或图形适用于所有数据类型） - 吸引观众注意力和让数据“说话”的技巧 - 加强学习效果的应用实例 - 使用数值度量方法总结数据：均值、中位数、众数——哪一种是最佳衡量？ 仍在犹豫这门课程是否有用吗？我们的看法是，花几个小时学习如何总结和展示数据总比花几天去尝试理解数据而没有这些方法要好得多。让我们开始吧！
This Statistics course is your first step to learn how to make sense of piles of data using the graphical and numerical measures. It has students (from over 130 countries), including absolute beginners in Statistics and professionals from other fields. Here is what some of them have to say: "Simple to understand and follow; graphics are clean and easy to read" ~ Linda Chisholm "The instructor explained three different ways to calculate frequency in Excel." ~ Diane Dye Course Description:This Statistics course is designed for students and businesses who want to learn how to summarize data and communicate the results effectively. In this course, I will take you through the tabular, graphical and numerical methods that one can use to turn data into information using Microsoft Excel. There are no prerequisites required to take this course as I will start all the concepts from scratch. A glimpse of what you are going to learn in 3 hours: Basics of Data - Collection Techniques and TypesTabular and Graphical methods available to summarize the data (along with their working in MS Excel) depending on what type of data we haveTips to use while deciding which chart type to choose for summarizing your data (Not every chart or graph is suitable for all kinds of data)Tips on how to get your audience's attention, how to make your data speakApplications to solidify your learningNumerical measures to summarize dataMean, Median, Mode - Which one is the best measure? Still wondering if this course is useful? Well, here is our take - Its better to spend a couple of hours learning how to summarize and present your data than spending days to try and make sense of the data without knowing these methods. All that said, lets get started..!
