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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-real-world-case-studies-using-python/
课程评论：没有评论
课程名称：使用Python进行数据分析实战项目 课程概述：您是否可以立即开始学习？许多Python初学者常问：“我需要成为Python编码的专家才能开始进行数据分析项目吗？”明确的回答是：“不需要！您只需掌握一些Python基础，如数据类型、简单操作/运算符、列表和numpy数组。”总之，如果您主要想使用Python进行数据科学或者替代Excel，那么这门课程非常适合您！ 为什么要参加这门课程？它讲解的是现实数据和真实世界问题的项目，而不是玩具数据！这是成为数据分析师/数据科学家的最简单和最佳途径。课程展示并解释了完整的真实世界数据，从导入混乱数据、清洗数据、合并和连接数据、分组和聚合数据，再到进行探索性数据分析，最后准备和处理数据以便进行统计、机器学习和数据展示。 课程为您提供了大量的实践机会，让您能够亲自编写代码，通过实践学习。在真实的项目中，编码和业务侧面同样重要。这可能是唯一一门同时教授深入Python编码和全局思维的课程，如如何得出结论。 保证满意：如果您不满意，提供30天退款保证。
Can you start right now?A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?"The clear answer is: "No!You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!Why should you take this Course?It explains Projects on real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data ScientistIt shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.It gives you plenty of opportunities to practice and code on your own. Learning by doing.In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusionGuaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.
