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所在平台: Udemy |
课程主页: https://www.udemy.com/course/datacleaning/
课程评论：没有评论
课程名称：SPSS：为准确分析清理和准备数据 课程概述： 本课程专注于数据清理，提供详尽的步骤示例，帮助学习者从预见数据清理需求到处理缺失数据。课程汇集了大量可以下载的PowerPoint幻灯片和其他支持材料，以供实践或用于个人数据项目。博士学位是一项极具挑战但又回报丰厚的学术经历，许多博士生，特别是在在线项目中学习的学生，常常在早期制定论文时面临困难。 本课程旨在帮助学生和专业研究人员，无论是准备分析研究数据还是正在开发数据收集方法的人士，都能更好地规划研究项目并作出影响后续阶段的决策。虽然课程主要面向博士生及论文项目进行者，但其他群体，如本科生、初级研究者，或希望学习如何进行严谨研究的人员，同样能从中受益。 除了技术技能外，课程还将教授以下内容： - 在数据收集前或期间预见清理需求 - 理解不同类型缺失数据的异同 - 记录清理过程和决策的重要性 - 在稿件中报告清理工作的内容 - 理解从数据中删除案例的原因 本课程将帮助学习者掌握数据分析的基础，为今后的研究打下坚实基础。
Praise for Todd's coaching and consulting...Todd, you are amazing! I appreciate your editing services! The 1st line on my AQR review is "congrats for a strong 1st submission". I actually had no dings on my grammar etc. (Doctoral Candidate, Arizona)Todd surpasses all expectations! He has a wealth of knowledge and skill, provides high-quality professional products and is an absolute pleasure to work with. (Nonprofit Consultant, New York)I highly recommend Dr. Bottom. He is innovative in his approach to solving problems, strategic, highly analytic and persistent. Thanks Todd. (University Research Director, Atlanta)Todd is a passionate and thorough consultant who came through for LCL when it counted most. He provided a comprehensive report that helped to strategically guide the organization through a critical transition period. (Nonprofit Owner, Chicago)***********************************************************************************About This Course************************************************************************************This course on data cleaning contains a great amount of detail and was designed to give you step-by-step examples for everything from anticipating data cleaning needs to determining what to do with missing data that will surely impress your colleagues and committee. With our lectures we also provide the PowerPoint slides and other very helpful supporting materials that you can download to use for practice or for your own data project.One of the most challenging yet rewarding academic experiences that one can accomplish is earning a doctoral degree. However, many doctoral students - especially those in fully or partial online programs - struggle with the early stages of developing their dissertation.It is extremely important to plan all aspects your dissertation study with an end goal in mind because decisions that you make during early stages can, and likely will, have an impact on later stages and the final production of your project. This course is designed for students and professional researchers who are either about to begin analyzing their study data, or who are in the process of developing their data collection method.However, the course is not limited to those who are in a doctoral program or who are conducting a dissertation project. Others who will find the course to be helpful include undergraduate students, early career researchers, and those who wish to learn about the process of conducting rigorous research studies.In addition to the technical skills, here is what you will get from the course:Anticipate cleaning before or during collectionWhy not all missing data are the sameImportance of recording the cleaning process and decisionsWhat part of cleaning to report in a manuscriptUnderstand reasons for deleting cases from your data
