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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-for-bi-part-1/
课程评论：没有评论
课程名称：机器学习与数据分析：数据概况与质量保证 课程概述： 请注意！本课程现在是“完整机器学习与数据科学视觉指南”的一部分，该指南结合了Maven Analytics的四个机器学习课程。该课程系列即将退休，课程分为四个部分，旨在帮助您建立机器学习的坚实基础理解： - 第一部分：质量保证与数据概况 - 第二部分：分类建模 - 第三部分：回归与预测 - 第四部分：无监督学习 本课程旨在让每个人都能轻松理解数据科学，旨在揭开强大机器学习工具与技术的神秘面纱，而不需要同时学习编码语言。我们将使用熟悉且用户友好的工具，如Microsoft Excel，来简化复杂主题，帮助您理解机器学习的工作原理与原因，而不是直接进入Python或R等编程语言。 课程大纲： 本课程的第一部分将介绍机器学习的基本概念和工作流程，并回顾数据分析中清理和准备原始数据的重要质量保证技巧，包括变量类型、空值、范围和计数计算、表结构等。 我们将覆盖单变量分析，包括频率表、直方图、核密度和概况指标，并深入多变量概况工具，如热图、小提琴图和箱线图、散点图及相关性。 - 第一部分：机器学习简介与概念 - 机器学习过程、定义和背景 - 第二部分：初步数据质量保证 - 变量类型、空值、范围和计数计算、左右删失等 - 第三部分：单变量概况 - 直方图、频率表、均值、中位数、众数、方差、偏度等 - 第四部分：多变量概况 - 小提琴图和箱线图、核密度、热图、相关性等 在整个课程中，我们将介绍真实场景，以帮助巩固关键概念并与实际商业智能案例联系起来。您将使用概况指标来清理本地杂货店的产品库存数据，利用直方图和核密度分析奥运运动员的人口统计，使用热图可视化交通事故频率等。 如果您准备好为成功的数据科学职业奠定基础，这就是适合您的课程。 加入我们，立即获得以下内容的终身访问： - 高质量的随需视频 - 机器学习：数据概况电子书 - 可下载的Excel项目文件 - 专家问答论坛 - 30天退款保证 祝您学习愉快！- Josh M.（首席机器学习讲师，Maven Analytics） 如需查看完整的商业智能课程库，请搜索“Maven Analytics”，包括Excel、Power BI、MySQL和Tableau课程！
HEADS UP! This course is now part of The Complete Visual Guide to Machine Learning & Data Science, which combines all 4 Machine Learning courses from Maven Analytics. This course, along with the other individual courses in the series, will be retired soon.This course is PART 1 of a 4-PART SERIES designed to help you build a strong, foundational understanding of Machine Learning:PART 1: QA & Data ProfilingPART 2: Classification ModelingPART 3: Regression & ForecastingPART 4: Unsupervised LearningThis course makes data science approachable to everyday people, and is designed to demystify powerful Machine Learning tools & techniques without trying to teach you a coding language at the same time.Instead, we'll use familiar, user-friendly tools like Microsoft Excel to break down complex topics and help you understand exactly HOW and WHY machine learning works before you dive into programming languages like Python or R. Unlike most Data Science and Machine Learning courses, you won't write a SINGLE LINE of code.COURSE OUTLINE:In this Part 1 course, we'll introduce the machine learning landscape and workflow, and review critical QA tips for cleaning and preparing raw data for analysis, including variable types, empty values, range & count calculations, table structures, and more.We'll cover univariate analysis with frequency tables, histograms, kernel densities, and profiling metrics, then dive into multivariate profiling tools like heat maps, violin & box plots, scatter plots, and correlation:Section 1: Machine Learning Intro & LandscapeMachine learning process, definition, and landscapeSection 2: Preliminary Data QAVariable types, empty values, range & count calculations, left/right censoring, etc.Section 3: Univariate ProfilingHistograms, frequency tables, mean, median, mode, variance, skewness, etc.Section 4: Multivariate ProfilingViolin & box plots, kernel densities, heat maps, correlation, etc.Throughout the course we'll introduce real-world scenarios designed to help solidify key concepts and tie them back to actual business intelligence case studies. You'll use profiling metrics to clean up product inventory data for a local grocery, explore Olympic athlete demographics with histograms and kernel densities, visualize traffic accident frequency with heat maps, and much more.If you're ready to build the foundation for a successful career in Data Science, this is the course for you.__________Join today and get immediate, lifetime access to the following:High-quality, on-demand videoMachine Learning: Data Profiling ebookDownloadable Excel project fileExpert Q & A forum30-day money-back guaranteeHappy learning!-Josh M. (Lead Machine Learning Instructor, Maven Analytics)__________Looking for our full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses!See why our courses are among the TOP-RATED on Udemy:"Some of the BEST courses I've ever taken. I've studied several programming languages, Excel, VBA and web dev, and Maven is among the very best I've seen!" Russ C."This is my fourth course from Maven Analytics and my fourth 5-star review, so I'm running out of things to say. I wish Maven was in my life earlier!" Tatsiana M."Maven Analytics should become the new standard for all courses taught on Udemy!" Jonah M.
