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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-in-python-data-prep-eda/
课程评论：没有评论
课程名称：Python数据科学：使用Python进行数据准备与探索性数据分析（EDA） 概述：这是一门实践性强、项目驱动的课程，旨在帮助您掌握数据科学和机器学习的核心Python构建块。课程将从数据科学和机器学习的领域入手，讨论监督学习与无监督学习之间的区别，并回顾我们在整个课程中将使用的Python数据科学工作流程。接下来，我们将深入探讨数据准备和EDA步骤。您将学习如何规划数据科学项目，使用Python和Pandas从多个来源收集数据并处理常见的数据清洗问题，并运用过滤、分组和可视化等技术进行探索性数据分析（EDA）。在整个课程中，您将扮演Maven Music的初级数据科学家的角色，帮助这家正在面临客户流失问题的流媒体服务。您将运用在课程中学到的技能，通过Python收集、清洗和探索数据，从而提供有关客户的见解。最后，您将练习为数据科学和机器学习模型准备数据，包括连接多个表、调整行粒度以及开发有用的字段和特征。 课程大纲： 1. 数据科学与机器学习简介：介绍数据科学领域，复习基本技能，并引入每个数据科学工作流程阶段。 2. 项目规划：回顾数据科学项目的规划过程，包括问题与解决方案的头脑风暴、选择技术及设定明确目标。 3. 数据收集：在Python中将平面文件读入Pandas DataFrame，并复习常见的数据源和格式，包括Excel电子表格和SQL数据库。 4. 数据清洗：识别和转换数据类型，发现并修复常见的数据质量问题，如缺失值、重复值和异常值，并创建新的分析列。 5. 探索性数据分析（EDA）：通过排序、过滤和分组数据来探索数据集，以发现见解，然后使用常见图表类型（如散点图和直方图）进行可视化。 6. 中期项目：通过清洗、探索和可视化一个包含Rotten Tomatoes电影评分的新数据集来测试您的技能。 7. 准备建模：通过创建一个数字的、非空的表和工程新特征，来整理您的数据，使其准备好用于机器学习模型。 8. 期末项目：运用整个课程中学到的所有技能，为Maven Music收集、清洗、探索和准备多个数据集。 您将获得的内容包括：8.5小时高质量视频、16个作业、7个测验、2个项目（1个中期，1个期末）、一本超过190页的《Python中的数据科学：数据准备与EDA》电子书、可下载的项目文件及解决方案、专家支持和问答论坛，以及30天的满意保证。如果您是有志于成为数据科学家或商业智能专业人士，并希望了解使用Python和Pandas的机器学习与数据科学世界，这就是适合您的课程。 祝您学习愉快！- Alice Zhao（Python专家和Maven Analytics数据科学讲师） 如果您在寻找我们的完整商业智能课程，可搜索“Maven Analytics”浏览我们的完整课程库，包括Excel、Power BI、MySQL、Tableau和机器学习课程！
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data science and machine learning.We'll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the Python data science workflow we'll be using throughout the course.From there we'll do a deep dive into the data prep & EDA steps of the workflow. You'll learn how to scope a data science project, use Python and Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis (EDA) using techniques like filtering, grouping, and visualizing data.Throughout the course, you'll play the role of a Jr. Data Scientist for Maven Music, a streaming service that's been struggling with customer churn. Using the skills you learn throughout the course, you'll use Python to gather, clean, and explore the data to provide insights about their customers.Last but not least, you'll practice preparing data for data science and machine learning models by joining multiple tables, adjusting row granularity, and engineering useful fields and features.COURSE OUTLINE:Intro to Data Science & Machine LearningIntroduce the field of data science, review essential skills, and introduce each phase of the data science workflowScoping a ProjectReview the process of scoping a data science project, including brainstorming problems and solutions, choosing techniques, and setting clear goalsGathering DataRead flat files into a Pandas DataFrame in Python, and review common data sources & formats, including Excel spreadsheets and SQL databasesCleaning DataIdentify and convert data types, find and fix common data quality issues like missing values, duplicates, and outliers, and create new columns for analysisExploratory Data Analysis (EDA)Explore datasets to discover insights by sorting, filtering, and grouping data, then visualize it using common chart types like scatterplots & histogramsMID-COURSE PROJECTPut your skills to the test by cleaning, exploring, and visualizing data from a brand-new data set containing Rotten Tomatoes movie ratingsPreparing for ModelingStructure your data so that it's ready for machine learning models by creating a numeric, non-null table and engineering new featuresFINAL COURSE PROJECTApply all the skills learned throughout the course by gathering, cleaning, exploring, and preparing multiple data sets for Maven Music__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:8.5 hours of high-quality video16 homework assignments7 quizzes2 projects (1 mid-course, 1 final)Data Science in Python: Data Prep & EDA ebook (190+ pages)Downloadable project files & solutionsExpert support and Q & A forum30-day Udemy satisfaction guaranteeIf you're an aspiring data scientist or business intelligence professional looking for an introduction to the world of machine learning and data science with Python and Pandas, this is the course for you.Happy learning!-Alice Zhao (Python Expert & Data Science 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, Tableau and Machine Learning 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.
