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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-excel-power-query-pivot-table-dax-data-modeling/
课程评论：没有评论
课程名称：高级Excel：Power Query、数据透视表、DAX和数据建模 课程概述：解锁Excel的全部潜力，提升您的数据技能到专业水平。无论您从事商业、质量、金融、制药还是数据分析，这个课程都会为您提供Excel中最强大的工具：Power Query、数据透视表、DAX和数据建模，这一切都在一个快速、实用的课程中完成。您将首先使用Power Query清理和转换杂乱的数据，然后通过动态数据透视表和图表总结和可视化这些数据。接着，您将深入学习DAX公式，构建强大的计算和KPI，最后了解如何设计高效的数据模型，这些模型可用于Power BI等商业智能工具。 此课程不以理论为主，也没有冗余内容。每节课都是实用且直入主题，基于真实世界的问题。 通过本课程，您将能够： - 使用Power Query清理和自动化杂乱的数据集 - 创建和自定义数据透视表以分析大型数据集 - 编写和应用DAX度量值和计算列 - 构建可扩展的数据模型，以链接多个表之间的关系 - 自信地排除故障并解决真实的Excel问题 - 通过简单几次点击创建强大的仪表板和报告 - 通过自动化和可重用的查询每周节省数小时的时间 您将学习到的内容包括： - Power Query：转换、清理和加载数据 - 数据透视表：分组、过滤、切片器、数据透视图 - DAX：度量值、计算列、时间智能 - 数据建模：关系、星型模式、处理多个表 - 实际应用案例：销售分析、审计仪表板、趋势报告 - 错误处理、查询自动化、可刷新的报告
Unlock the full potential of Excel - and elevate your data skills to a professional level.Whether you work in business, quality, finance, pharma, or data analytics, this course gives you the most powerful tools Excel offers:Power Query, Pivot Tables, DAX, and Data Modeling - all in one fast-paced, practical course.You'll start by cleaning and transforming messy data using Power Query, then summarize and visualize it with dynamic Pivot Tables and Charts.After that, you'll dive into DAX formulas to build powerful calculations and KPIs, and finish by learning how to design efficient data models used in BI tools like Power BI.This isn't a theory-heavy or fluff-filled course. Every lesson is practical and to the point - built from real-world problems.⸻ By the end of this course, you'll be able to:• Clean and automate messy datasets using Power Query• Create and customize Pivot Tables to analyze large data sets• Write and apply DAX measures and calculated columns• Build scalable Data Models to link multiple tables with relationships• Troubleshoot and solve real Excel problems with confidence• Create powerful dashboards and reports with a few clicks• Save hours each week with automation and reusable queries⸻What You Will Learn• Power Query: Transforming, cleaning, and loading data• Pivot Tables: Grouping, filtering, slicers, pivot charts• DAX: Measures, calculated columns, time intelligence• Data Modeling: Relationships, star schema, handling multiple tables• Practical use cases: Sales analysis, audit dashboards, trend reporting• Error handling, query automation, refreshable reports
