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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-1/
课程评论：没有评论
课程名称：DAX / Power BI - 数据分析技术第一部分 课程概述：如果你是一名DAX和Power BI开发者，或者正在准备DA-100考试，那么你一定热爱与各种数据打交道。在本课程中，我们将探讨至少10种数据分析技术，包括与人工智能相关的数据分析方法，例如异常检测、关键影响分析、问答分析和分解树分析。此外，我们还会讨论时间序列与预测分析、智能叙述分析、地理空间分析、快速洞察分析，以及分组和分箱分析和货币转换，这些通常被纳入其他类型的销售分析中。 本课程时长超过4小时，将为你在数据分析领域的技能提升提供极大帮助。课程结束后，你将有机会进行实践，以检验和巩固所学的知识。课程对于准备DA-100考试的学生同样具备重要价值。 后续课程第二部分将继续深入，涵盖以下分析类型：聚类分析、队列分析、分段分析、R和Python集成分析、帕累托原则、客户流失分析、购物篮分析、方差分析以及排名分析。 本课程旨在为数据爱好者和专业人士提供全面的数据分析技巧，帮助学员在数据领域提升能力。
If you are a DAX and Power BI developer, or studying for the DA-100 exam, you almost certainly love to work with data, data of any kind. In fact, you might consider yourself a "data geek". For non-native English speaking students this phrase, as used here, means an expert or enthusiast obsessed with a hobby or intellectual pursuit. In this case, the pursuit of data.In this 4+ hour course we cover at least 10 different data analysis techniques including AI related data analysis techniques including Anomaly Detection, Key Influencer Analysis, Q & A analysis and Decomposition Tree analysis. We also cover time series and forecasting analysis, Smart Narrative analysis, Geospatial analysis, Quick Insight analysis, grouping and binning analysis and currency conversion, which is often included in other types of sales analysis.There will be a part 2 to this course where we will pick up where we left off and cover at least the following types of analysis:Cluster analysis Cohort analysis Segmentation analysis R and Python integration analysisPareto Principal Customer attrition analysis Basket analysis Variance analysis Ranking 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.
