Power BI Business Scenarios with Hands on Use Cases

所在平台: Udemy

课程主页: https://www.udemy.com/course/advanced-microsoft-power-bi-business-scenarios/

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课程名称:Power BI商业场景与实践案例 课程概述: 在现代职场中,数据分析、商业智能和商业分析的技能需求日益增长。Microsoft Power BI是一款强大的自助商业智能和商业分析工具,广泛应用于专业数据分析师和数据科学家的工作中。本课程将通过实际商业场景,带领学员逐步学习如何使用Power BI和复杂的DAX计算,从数据中提取更深入的见解。 课程特点: - 终身访问课程资料,提供100%退款保证。 - 25小时以上的高清教学视频,涉及25个以上的实际案例,涵盖从原理到实践的完整过程。 - 包括SQL Server Adventure Works数据仓库作为示例数据库,通过手把手的教学,确保学员深入理解每个场景的应用。 - 涵盖Power BI最佳实践、技巧和案例研究,此外还提供微软“Dashboard-in-a-day”课程,便于学员自主学习。 课程大纲: 1. 高级Microsoft Power BI介绍 2. 数据收集、导入与注入 3. SQL服务器和示例数据库的下载与安装 4. Power BI数据流概述 5. 数据建模基础 6. DAX基础及其应用 7. 实际案例项目分析 8. 企业网关与个人网关配置 9. 高级时间智能分析 10. 高级商业场景与计算 11. Power BI中的分享与协作功能 12. Power BI最佳实践 13. 附加课程 - Dashboard-in-a-day 通过完成本课程,学员将在DAX和Power BI使用上变得非常熟练,能够有效地收集、清洗、建模和展示数据。学员可将所学应用于实际商业问题,提升自身作为商业数据分析师的职业竞争力。

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Description**** Life time access to course materials. 100% money back guarantee ****Companies are gathering more and more data everyday. Skills in data analysis, Business Intelligence / Business Analytics are highly in demand in today's job market. Microsoft Power BI is an advanced yet easy to use self service Business Intelligence / Business Analytics tool for that. It is same B.I. tools used by professional analysts and data scientists.In this course together we will go over business scenarios where you will learn, how to use Power BI and advanced / complex DAX calculations further to derive more insights from data. We are using SQL Server Adventure Works Data warehouse as a sample database. We will hold your hand and walk you thru each scenario Step-by-step.Not only you will learn Power BI Best Practices, Tip, Tricks and Case Studies that you won't find in ANY other course but also learn Microsoft's Popular Course DASHBOARD-IN-A-DAY at your own pace at home or at your office AS A BONUS. All of the exercises are designed by keeping the practical aspects of Power BI and DAX in mind. All exercises are 100% hands-on.25+ hours of HD videos of building Business Scenarios using DAX and 10 interactive Business Intelligence Reports and Dashboards from scratch to finish. Files for Start and Finished projects also included to challenge you so you can learn by immediately applying what you're learning. You will have gained the knowledge and confidence to apply these same concepts to real-word to solve the Business problems or Business requirements.By the time you complete this course, You'll be a highly proficient in DAX and Power BI user. You'll be fully prepared to collect, clean, model and present data for any purpose. You will be using your skills as a Business Intelligence Professional to extract knowledge from data so you can analyze and visualize complex Business Problems/Requirements with ease.Why should you consider a career as a Business Data Analyst?Salary. A Business Data Analyst is a well-paid careerStable Career. As most corporations gathering more and more data. There will never be shortage of Jobs for Business Data Analyst.Advancement in Career: Since you will be building different reports for different departments. You will never be bored and always be valued. Which will bring you more opportunities in your career. Business Data Analyst get very visibility in corporations. Whole management depends on them.#microsoft #powerbi #data #business #intelligence #analysis #DAXWe are covering the following in this course.Section 1: Advanced Microsoft Power BI IntroductionAdvanced Microsoft Power BI Course IntroductionWhy Microsoft Power BIMicrosoft Power BI FamilyMicrosoft Power BI DesktopMicrosoft Power BI Service (Cloud) 1Microsoft Power BI Service (Cloud) 2What is Descriptive, Predictive and Prescriptive AnalyticsHow to take the quizzesSection 2: Advanced Microsoft Power BI - Collect , In-jest and Import DataImport Data from CSV files in MicrosoftImport Data from Excel files in Microsoft Power BI DesktopImport Real-time Streaming Data in Microsoft Power BI Service (Cloud)Import Data from OData Feed REST-API inMicrosoft Power BI DesktopImport Data from Folders in Microsoft Power BI DesktopSection 3: Download and Install SQL Server and Sample DatabasesDownload and Install SQL ServerDownload and Install Sample DatabaseImport Data from SQL Server in Microsoft Power BI DesktopSection 4: Introduction to Power BI DataflowsPower BI Dataflows - IntroductionPower BI Dataflows - Create Gateway from ScratchPower BI Dataflows - Create Entities from CSV filePower BI Dataflows - Create Entities using SQL ServerSection 5: Introduction to Data ModelingModeling Basics 0Modeling Basics 1Modeling Basics 2Modeling and Relationships 0Modeling and Relationships 1Other ways to create RelationshipsNormalization - Denationalization 0Normalization - Denationalization 1OLTP vs OLAPStar Schema vs Snowflake Schema 0Star Schema vs Snowflake Schema 1Section 6: DAX BasicsDAX Basics - Importing Data for Dax LearningDAX Basics - Resources for Dax LearningDAX Basics - What is DaxDAX Basics - Dax Data TypesDAX Basics - DAX Operators and SyntaxDAX Basics - M vs DaxDAX Basics - Create a ColumnDAX Basics - Rules to Create MeasuresDAX Basics - Calculated Columns vs Calculated Measures-0DAX Basics - Calculated Columns vs Calculated Measures-1DAX Basics - Sum()DAX Basics - AVERAGE()-MIN()-MAX()DAX Basics - SUMX()DAX Basics - DIVIDE()DAX Basics - COUNT()-COUNTROWS()DAX Basics - CALCULATE()-0DAX Basics - CALCULATE()-1DAX Basics - FILTER()DAX Basics - ALL()Section 7: Hands-on Real-word ProjectsProcurement Spend AnalysisProducts AnalysisRegional AnalysisIT Tickets AnalysisHuman Resources Analysis 1Human Resources Analysis 2Human Resources Analysis 3Financial AnalysisSales/Marketing AnalysisBank Demographic ReportSection 8: Personal - Enterprise Gateway On-Premises GatewayPersonal vs Enterprise GatewayInstall and Configure Personal GatewayInstall and Configure Enterprise GatewayManage SQL Server Data Source thru Enterprise GatewaySection 9: Advanced Time-IntelligenceCreate Date Table in DAX-0Create Date Table in DAX-1Dax Date CodeCreate Date Table in M (important) 11minDate Table Code in MHow to use PREVIOUS FunctionHow to use SAMEPERIODLASTYEAR FunctionHow to calculate Cumulative or Running totals TOTALXXX()How to use DATEADD FunctionHow to add column DateLastPurchase in Customer TableHow to calculate Days to Ship and Delivery StatusHow to calculate Spring-Summer-Autumn-Winter Sales for 2012How to Calculate Customer Age and use it in charts and graphsHow to calculate Days till last purchaseHow to calculate Month-Over-Month valuesHow to calculate Previous Week SalesHow to calculate Running Total 1How to calculate Running Total 2How to calculate sales for last N daysHow to calculate Weekend - Weekday sales 1How to calculate Weekend - Weekday sales 2How to calculate Year-Over-Year GrowthHow to calculate Year-To-Date with Different Fiscal YearHow to Calulate Thanksgiving-BlackFriday-CyberMonday 2 we…How to compare Quarter over Quarter 01How to compare Quarter over Quarter 02How to compare Years-Quarters-Month better wayHow to create Short Month Name for Fiscal YearHow to do Grouping and Segmenting 1How to do Grouping and Segmenting 2How to use specific relationships if you have more than 1 relationshipDAX - Quick MeasuresDisplay Last Refresh DateSection 10: Advanced ScenariosCreate new table for Scenarios MeasuresHow to calculate number of order per customersHow to add calculated column in Employee tableHow to add calculated column in Resellers tableHow to calculate Customers (using TOPN) for Target MarketingHow to calculate and display Profit MarginsHow to calculate and display sales growthHow to calculate how many items bought by Customers Multple timesHow to calculate how many Resellers sold specific Item more than 5 timesHow to calculate Moving Average 1How to calculate Moving Average 2How to calculate number of Products - Customers Sales TrendHow to calculate Profit or Margin Variance Month-Over-MonthHow to calculate Trend on Profit for Internet SalesHow to categorize Employees on SalesHow to categorize Re-sellersHow to create Product SegmentHow to export measures from Power BI fileHow to see top N Products 01 StaticallyHow to see top N Products 02 DynamicallyHow to calculate and show ProfitsHow to calculate Best Product Sales DayHow to calculate Dynamic TOPN product or CustomersHow to calculate Hot Selling ProductsHow to calculate how many unique Customers bought specific ProductHow to calculate how many unique Products bought by each CustomerHow to calculate product sales growthHow to calculate Re-seller 01 Sales Growth Year-Over-YearHow to calculate Re-seller 02 Sales Growth Year-Over-YearHow to calculate Revenue Forecast using Analytics TabHow to calculate Revenue Forecast using What If ParameterHow to calculate Top EmployeesHow to calculate which Re-seller selling what ProductsHow to show Products quantity forecast using Analytics TabHow to show Products quantity forecast using using What If ParameterHow to smooth the trend using Moving AveragesSection 11: Sharing and Collaboration in Power BISharing and CollaborationSharing DashboardsSharing WorkspacesSharing AppsPublish to webSection 12: Bonus - Power BI Best PracticesPower BI Best Practices 0Power BI Best Practices 1Power BI Best Practices 2Power BI Best Practices 3Power BI Best Practices 4Power BI Best Practices 5Section 13: Bonus - Dashboard-in-a-day (Same as actual Microsoft class)Power BI Dashboard-in-a-day class 0 - IntroductionPower BI Dashboard-in-a-day class 1 - Accessing DataPower BI Dashboard-in-a-day class 2 - Data PreparationPower BI Dashboard-in-a-day class 3 - Data PreparationPower BI Dashboard-in-a-day class 4 - Modeling and Data ExplorationPower BI Dashboard-in-a-day class 5 - Modeling and Data ExplorationPower BI Dashboard-in-a-day class 6 - Modeling and Data ExplorationPower BI Dashboard-in-a-day class 7 - Modeling and Data ExplorationPower BI Dashboard-in-a-day class 8 - Modeling and Data ExplorationPower BI Dashboard-in-a-day class 9 - VisualizationPower BI Dashboard-in-a-day class 10 - VisualizationPower BI Dashboard-in-a-day class 11 - Publishing ReportPower BI Dashboard-in-a-day class 12 - Creating DashboardsPower BI Dashboard-in-a-day class 13 - Creating DashboardsPower BI Dashboard-in-a-day class 14 - Creating DashboardsBest RegardsBiztics Team

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