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所在平台: Udemy |
课程主页: https://www.udemy.com/course/advanced-power-bi-expert-data-analysis-and-visualization/
课程评论：没有评论
课程名称：高级Power BI：专家级数据分析与可视化 课程概述： 该高级Power BI课程旨在为专业人士提供掌握高级数据分析和可视化所需的专业知识。课程深入探讨数据转换、建模和可视化等关键内容，确保学员能够有效处理复杂的数据场景。参与者将学习如何连接和整合来自不同来源的数据，自动化数据处理，并构建强大的数据模型。此外，课程还涵盖高级主题，如角色级安全、模糊匹配和转化表的创建，使学员能够自信地管理和保护数据。通过实际案例和应用，学员将在课程结束时具备高级技术技能，能够将这些技术应用于解决业务问题，优化数据驱动策略，非常适合希望提升Power BI能力并利用数据分析实现业务成功的专业人士。 课程大纲： 1. 高级Power BI课程简介 2. trainer介绍 3. 课程概述 4. 精通Power BI的常见挑战 5. 核心概念的重要性 数据周期： - 获取数据：识别数据源，连接不同系统，导入数据的方法 - 数据转化：数据转化的重要性，常见数据问题，自动化数据转化 - 数据整合：数据整合的重要性，数据建模的好处 - 数据丰富、可视化与共享：创建引人注目的可视化和有效的数据共享方法 实践与案例： - 模糊匹配，转化表应用，清理与转化销售数据，以及产品数据的标准化 - 数据模型的设计，包括事实表和维度表 高级技术： - 角色级安全的实施，扁平文件的标准化，比较目标销售与实际销售的高级技巧 课程结尾： 总结整个课程的重点内容，并进行最终问答，以巩固学员的理解与应用能力。 通过本课程，参与者将获得实用的经验，并掌握创建数据驱动决策所需的技能。
This Advanced Power BI course is meticulously designed to equip professionals with the expertise needed to master data analytics and visualization at an advanced level. By delving into critical aspects such as data transformation, modeling, and visualization, this course ensures you gain comprehensive skills to handle complex data scenarios effectively. Participants will learn to connect and consolidate data from diverse sources, automate data processes, and build robust data models. The course also covers advanced topics like role-level security, fuzzy matching, and the creation of transformation tables, enabling you to manage and protect data with confidence.Taking this course will provide you with practical, hands-on experience through real-world applications and case studies. You will learn to create insightful reports and compelling visualizations that drive informed decision-making. By the end of the course, you will be equipped not only with advanced technical skills but also with the ability to apply these techniques to solve business problems and optimize data-driven strategies. This course is ideal for professionals looking to elevate their Power BI capabilities and leverage data analytics to achieve business success.Course Outline:Introduction to Advanced Power BI CourseIntroduction to the trainerOverview of the courseCommon challenges in mastering Power BIImportance of core conceptsData Cycle: Getting DataStarting with a vision and end goalsIdentifying data sourcesConnecting to disparate systemsCentralized data warehousesMethods for importing dataData Cycle: Data TransformationImportance of data transformationCommon data issuesAutomating data transformationData wrangling and mungingData Cycle: Data ConsolidationImportance of data consolidationData flattening vs. data modelingBenefits of data modelingHandling large datasetsData Cycle: Enrichment, Visualization & SharingData enrichment techniquesCreating compelling visualizationsEffective data sharing methodsData Transformation: Finding Problems & Understanding Column ProfileIdentifying data problemsUnderstanding column profilesUsing data profiling toolsData Transformation: Fuzzy MatchConcept of fuzzy matchingImplementing fuzzy matching in Power BIHandling data quality issuesData Transformation: Transformation Table with Fuzzy MatchCreating transformation tablesUsing transformation tables with fuzzy matchingBest practices for accurate data mappingData Transformation: Fuzzy, Transformation Table PracticeHands-on practice with transformation tablesTroubleshooting common problemsPerforming sense checksData Transformation: Transforming City Data SetCase study: transforming city dataApplying learned techniquesReinforcing key concepts through practical applicationData Transformation: Completing Sales FileCleaning and transforming sales dataHandling errors and missing valuesMaking executive decisions on data handlingData Transformation: Product FileImporting and cleaning product dataStandardizing product informationDealing with inconsistent data entriesData Consolidation: Model FormattingUnderstanding automatic relationship detectionDeactivating auto-detect for manual relationship managementFormatting and enriching dataData Enrichment: Calendar Table (Simple)Creating a simple calendar tableUsing DAX for date-related calculationsEnhancing reports with date intelligenceData Enrichment: Calendar Table (Fiscal Year)Creating a fiscal year calendar tableCustomizing date intelligence for fiscal reportingUtilizing DAX for advanced date calculationsQ & A SessionRecap of previous sessionsAddressing participant questions and concernsPractical tips and insights from real-world use casesData Model: Fact TableUnderstanding fact tablesCharacteristics and purpose of fact tablesCreating and managing fact tables in Power BIData Model: Dimension Table & Star SchemaUnderstanding dimension tablesCharacteristics and purpose of dimension tablesImplementing star schema in data modelingData Model: Cardinality and Cross Filter DirectionUnderstanding cardinality in relationshipsManaging cross-filter directionBest practices for relationship managementData Model: Merge and Role-Playing DimensionsMerging tables for optimized data modelsCreating role-playing dimensionsAdvanced data modeling techniquesData Model: Comparing 2 Fact Tables (Theory)Theoretical concepts of comparing fact tablesUnderstanding common grainsImplications of comparing different grainsData Model: Comparing 2 Fact Tables (Practice)Practical application of comparing fact tablesHandling many-to-many relationshipsBest practices for accurate comparisonsComparing Sales and Inventory (Considerations & Reporting)Comparing sales and inventory dataManaging data discrepanciesEffective reporting techniquesRecap and Data Enrichment Using Custom Columns CCRecap of key conceptsData enrichment techniques using custom columns (CC)Practical examples and hands-on exercisesComparing Order Date and Ship DateComparing different date fieldsHandling date discrepanciesCreating meaningful insights from date comparisonsComparing Target Sales vs Actual Sales Part 1Introduction to target vs actual sales comparisonSetting up the data modelCreating relationships and calculationsComparing Target Sales vs Actual Sales Part 2Advanced techniques for comparing target vs actual salesHandling complex data modelsBest practices for accurate reportingRole Level SecurityImplementing role-level security in Power BIManaging user access and permissionsBest practices for secure data modelsNormalizing a Flat FileIntroduction to normalizing flat filesStep-by-step process for creating dimension tablesBest practices for efficient data modelingClosing and Q & ARecap of the entire courseFinal questions and answers
