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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-with-r-python-and-sql/
课程评论：没有评论
CourseraData Analytics with R, Python and SQL 课程总结： 本课程专注于通过R、Python和SQL等工具，运用数据分析方法和途径来解决商业问题。课程旨在连接商业需求与数据分析，“将数据分析视为一套解决商业问题和挑战的工具集”。 **课程高层目标包括：** * 提供代码示例，从多角度审视数据。 * 学习分析任何数据集并提取信息的技术。 * 掌握如何从数据中挖掘“故事”，并为潜在的商业机会提供支持。 * 学习数据分析的关键领域，并从中获得有意义的洞察。 **课程结束后，学员将能够：** * 使用R和Python对任何数据集进行编码álisis。 * 深入挖掘数据以提取有用信息。 * 处理来自研究和商业领域的真实世界问题。 * 从每个分析步骤中收集零散的信息。 * 为下一步深入数据挖掘准备进一步的步骤，以获取更多信息。 * 可视化数据并向受众展示（在数据分析项目的每个阶段）。 * 在项目进行中及完成后，随着数据的变化，更新和解决相关问题。 * 迭代优化步骤，以获得更清晰的视图，并在发布前验证和确认信息。
This course focusses on data analytic methods and approaches for getting business solutions using R and Python and SQL. Link business needs to data analytics. The course views data analytics as a set of tools to bringing business questions and problems addressed. High level goals of the course include:Provide coding examples to look at the data from multiple perspectivesLearn the technologies for analyzing any dataset and to derive informationLearn on how to get the stories from the data and support business in potential opportunitiesLearn key areas of analysis for any data and make meaningful insights into the data At the end of course students will be able to do:Code in R and Python for any dataset Dig into the data to derive useful informationHandle problems from real world in both research and business areasGather smaller chunks of information from each analysis stepPrepare next set of steps to dig deeper into the data for additional informationVisualize data and present to audience for providing at each step of a data analytics projectUpdate and address related problems during and after the project is done and as data changesIterate the steps to achieve greater visibility and verify and validate the information before publishing
