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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dax-power-bi-data-analysis-techniques-part-2/
课程评论：没有评论
课程名称：DAX / Power BI - 数据分析技术第二部分 课程概述： DAX和Power BI提供了丰富的数据分析技术。本课程系列着重于使用DAX和Power BI进行数据分析技能的提升。第一部分的课程内容涵盖了异常检测、关键影响者分析、预测分析、分解树分析、问答分析等多个有趣话题，时长超过四小时。第二部分课程继续提升分析技能，共时长超过四小时，涵盖至少10种不同而有趣的数据分析技术，包括：协同分析、交叉销售分析、帕累托分析、简单聚类分析、排名分析、流失分析、R语言整合、百分位数分析、情景/敏感性分析等。 每项技术的学习后，您将有机会进行练习，以巩固所学的知识。此外，本课程也将为DA-100考试的学习提供帮助。常见问题之一是“这个系列会有第三部分吗？”目前没有计划推出第三部分，但如果您希望涵盖其他分析领域，请告诉我们，我们将考虑将其添加到第一部分或第二部分。 本课程适合希望深入数据分析的学习者，特别是希望掌握DAX和Power BI的用户。
DAX and Power BI offer a wide range of data analysis techniques. In fact, as you probably know, data analysis is at the heart of working with tools like Power BI and DAX. This is why we have created a two-course series of data analysis techniques using DAX and Power BI.In Part 1 of this course we spend over four hours covering a wide range of very interesting topics such as anomaly detection, Key Influencer analysis, forecasting analysis, Decomposition Tree analysis, Q & A analysis and much more. You can continue to improve your analysis skills with this 4+ hour course. We cover at least 10 more different and interesting data analysis techniques including:Cohort AnalysisCross-selling AnalysisPareto AnalysisSimple Clustering AnalysisRanking AnalysisAttrition AnalysisR IntegrationPercentile AnalysisScenario / Sensitivity AnalysisAfter we cover each technique, or at least most of them, you will have the opportunity to do a little practice to test, and further enforce what you have learned. This course would also be valuable for study towards the DA-100 exam.A common question will be "is there going to be a part 3 to this series?" We have no plans for a part 3. If you would like other areas of analysis covered, let us know and we will add it to either part 1 or part 2.
