|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/managing-data-analysis
课程评论：没有评论
课程名称：数据分析管理 课程概述：本为期一周的课程讲解了数据分析的过程以及如何有效管理该过程。课程强调数据分析的迭代特性，明确提出问题的重要性、探索性数据分析、推断、正式统计建模、结果解释及沟通的角色。此外，我们还将讨论如何在团队中引导分析活动，推动数据分析过程朝着一致和有用的结果前进。 本课程旨在帮助您快速掌握数据分析的管理方法，便于您在不会牺牲任何必要内容的情况下，集中精力管理团队并推动进展。我们将技术细节放在一旁，以便您能更专注于管理工作。 完成本课程后，您将能够： 1. 描述基本的数据分析循环 2. 识别不同类型的问题并将其转化为特定数据集 3. 描述不同类型的数据提取 4. 探索数据集以判断数据是否适用于特定问题 5. 指导常见数据分析中的模型构建工作 6. 解释常见数据分析的结果 7. 整合统计发现，形成一致的数据分析展示 学习承诺：1周学习，4-6小时 课程欢迎您参与，并期待您在学习社区中的贡献。如有课程内容问题，请在论坛中提问以寻求帮助。如在Coursera平台上遇到技术问题，请访问学习者帮助中心。祝您学习顺利，享受课程！
Name:Managing Data Analysis
Description: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 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 https://flic.kr/p/4HjmvD
