Managing Data Analysis

开始时间: 08/01/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew



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This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to…. 1. Describe the basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY

管理数据分析:此为期一周的课程介绍了分析数据的过程以及如何管理该过程。我们描述了数据分析的迭代性质以及说明尖锐问题,探索性数据分析,推理,正式统计模型,解释和沟通的作用。此外,我们还将描述如何指导团队内部的分析活动,以及如何将数据分析过程推向一致,有用的结果。 这是一门重点课程,旨在使您快速掌握数据分析的过程以及如何对其进行管理。我们的目标是在不牺牲任何基本内容的情况下,为您提供尽可能方便的选择。我们将技术信息放在一边,这样您就可以集中精力管理团队并向前发展。 完成本课程后,您将知道如何……。 1.描述基本数据分析迭代 2.识别不同类型的问题并将其转换为特定的数据集 3.描述不同类型的数据提取 4.探索数据集以确定数据是否适合给定问题 5.通用数据分析中的直接模型构建工作 6.解释通用数据分析的结果 7.整合统计结果以形成连贯的数据分析演示文稿 承诺:1周学习,4-6小时 课程封面图片由fdecomite提供。知识共享通过


Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!





This one-week course describes the process of analyzing data and how to manage that process. We desc