Data Analytic Principles/Habits

所在平台: Udemy

课程主页: https://www.udemy.com/course/analytic-processes/

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课程名称:数据分析原则与习惯 课程概述:您是否希望将自己的分析工作从平庸提升到卓越?您是否希望在工作中通过展示卓越的专业分析能力而发光发热?如果是,那么这个课程适合您。在过去的15年中,我总结了一些提高数据分析工作质量的步骤。当这些步骤成为习惯时,它们将使分析更加专业,增强抗错误能力,并有效地回答“问题”。这些知识正是我希望在刚开始作为数据分析师时能够学习到的。 课程内容包括: 1. **背景准备**(文件系统、输入、模型结构) 2. **构建**(计算、测试/检查、文档) 3. **输出**(结果、演示、迭代) 我已将课程内容提炼成易于记忆的几个部分,以确保您能从中获得持久的价值。每个部分附有补充材料,包括便于记忆的海报和强化学习的阅读材料。 课程总结: - 目标:帮助您学习并养成良好的分析工作习惯。 - 形式:40分钟的视频介绍原则,并通过示例进行说明。每个部分的海报和阅读材料作为未来参考和强化的备忘单。 - 目标受众:初级数据分析师或即将进入职场的学生(数据、统计、金融分析等)。 - 注意事项:本课程不是关于如何使用Excel的培训项目。我们使用Excel来说明原则,而不是冗长的讲座,确保您能够更容易记住内容。40分钟就能掌握一切。 欢迎加入本课程,开启您的数据分析新旅程!

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Do you want to turn your analytic work from mediocre to great?Do you want to shine at the workplace by demonstrating a superior, professional analytic ability?Then this course is for you.Read on please.Over 15 years, I identified a number of steps that elevate the quality of data analytic work. When done habitually, these steps will professionalize the analysis, making it more error resistant, flexible and effective in answering the "question". This content is what I wish someone taught me when I first started working as a data analyst. Course content: Context Preparations (filing system, inputs, model structure) Building (calculations, testing/checking, documentation) Output (results, presentation, iterations) I have distilled the content into easy to remember sections to ensure that you gain a long lasting value from this course. Each section comes with supplemental material including poster for easy reminder and course reading that for reinforcements. In Summary Goal - Help you learn and adopt good habits when doing analytic work. Format - 40 mins of videos that introduce the principles and illustrate the principles through an example. Poster and Reading Materials for each section serves as cheat sheets for future reference and enforcement. Target Audience - Beginner level data analysts or Students who are about to enter the workforce (data, statistical, financial analyses) This course is not a training program on how to use MS Excel. We use Excel to illustrate the principles; not hours on hours of lectures that are hard to remember. 40 minutes is all you need.

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