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所在平台: Udemy |
课程主页: https://www.udemy.com/course/demystifying-data-science-and-analysis/
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《解密数据科学与分析》课程摘要 本课程旨在帮助您弄清数据分析和数据科学领域的常用术语和概念。如果您觉得相关的词汇令人困惑，那么您并不孤单。随着数据在当今社会日益重要，数据相关的工作和职责也在不断增加。您是否区分得清数据湖、数据仓库、数据集市或数据保险库？数据科学家、数据分析师或数据工程师？数据捕捞、数据农场或数据挖掘？脏数据、暗数据或损坏数据？如果您希望理解行业术语，掌握数据语言，并了解常用术语与表达，那么本课程将非常适合您。 课程主要内容包括： * **数据工作头衔与技能：** 区分相似的职位名称，了解其职责，以及成为这些职位所需的技能。 * **数据存储与打包：** 区分数据仓库和数据湖，了解不同数据存储的最佳适用场景，以及数据存储中的常见问题。 * **数据采集与增长：** 区分数据农场和数据挖掘，学习增长数据的不同方法及其重要性，以及为何增长数据与收集数据同样关键。 * **数据清洗与修复：** 掌握数据清洗与修复的三个步骤，了解用于数据清洗的常用任务。 * **数据保护：** 区分数据治理、合规性和安全性，了解数据安全与合规的责任，并初步了解数据不诚实和误用等问题。 * **数据分析：** 介绍商业智能规划工具，数据分析的框架，以及如何分析数据以识别模式和趋势。
Do you want to learn more about data analysis and data science, but find the terms and phrases used confusing? If so you are not alone.This course will help Demystify Data Science & Data Analysis by defining and explaining the most commonly used and most commonly confused Data Terms and Phrases.Data is a hot topic right now, and data jobs and responsibilities are increasing. Do you know the difference? Data Lake, Data Warehouse, Data Mart or Data Vault? Data Scientist, Data Analyst, or Data Engineer? Data Fishing, Data Farming, or Data Mining? Dirty, Dark, or Corrupt Data? If you want to Understand the Jargon, Speak the Language, and Know the Commonly Used terms & Phrases, this course is for you.Data Job Titles & SkillsDifferentiate between similar titlesKnow their responsibilitiesUnderstand the skills needed to be proficientStoring & Packaging DataDifferentiate between Data Warehouse & Data LakeKnow which data stores work bestLearn the common issues associated with storing dataCollecting & Growing DataDifferentiate between Farming & MiningLearn different ways to grow your data and whyUnderstand why it is important to grow as well as collect dataCleaning & Fixing Data3 steps to cleaning & fixing your dataKnow the common tasks used for cleaning dataData ProtectionDifferentiate between Governance, Compliance, & SecurityResponsibilities for data security and complianceIntroduction to data dishonesty and mis usesData AnalysisBusiness Intelligence planning toolsFrameworks for conducting Data AnalysisHow to analyze data for patterns and trends
