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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-power-bi-projects/
课程评论:没有评论
课程名称:掌握Power BI:30个实践项目进行数据可视化 概述:随着数据分析和商业智能领域的发展,Power BI的未来承诺将带来更强大的功能、创新和影响。未来的Power BI将会经历以下几个激动人心的趋势: 1. **高级AI集成**:Power BI将与人工智能和机器学习相结合,实现自动化洞察提取、预测分析和自然语言处理,使用户更轻松地通过自然语言查询与数据互动。 2. **增强数据连接性**:Power BI将继续扩展数据连接选项,实现与不断增加的数据源的无缝集成,包括物联网设备、云服务和外部数据库。 3. **实时分析**:未来的Power BI将实现更实时和动态的分析,使企业能够监控和可视化实时数据流,快速做出决策。 4. **嵌入式分析**:Power BI将越来越多地嵌入其他应用程序和平台中,提升用户体验,并将数据驱动的洞察融入日常操作。 5. **增强协作**:协作功能将不断提升,允许团队在共享报告和仪表板上更顺畅地工作,优化团队的协作。 6. **自定义可视化**:未来的Power BI将支持更先进和可定制的可视化,用户能够创建独特且量身定制的视觉效果,准确反映数据和洞察。 7. **数据治理与安全**:针对数据隐私和安全问题的关注,将促使Power BI加强数据治理功能,提供更严格的数据访问、共享和合规控制。 8. **云原生方法**:Power BI与云的集成将加深,用户将能够充分利用云计算的潜力,实现可扩展性、灵活性和协作能力。 9. **持续创新**:微软对不断开发的承诺意味着Power BI将随着新功能、更新和改进而不断进化。 在本课程中,您将通过30个具体的实践项目来提升对Power BI的掌握,包括: 1. 全球数据专业人士基准仪表板 2. 北京空气质量仪表板:DAX与可视化 3. 大邱房地产:公寓优缺点分析 4. 超市销售分析:Power Query和DAX 5. COVID-19 WHO数据集洞察:Power Query和DAX 6. 信用卡违约分析:Power Query和DAX 7. 芝加哥犯罪:三年分析与可视化 8. 客户流失分析:现实商业问题 9. 客户流失分析(高级特性):数据建模 10. 离职分析:人力资源数据转化与可视化 11. 道路事故分析:关系与时间智能 12. 通用销售分析实践:数据转化 13. Maven玩具销售分析:转化与DAX 14. Maven比萨销售分析:转化与DAX 15. IT支出分析:全球IT公司的差异 16. 销售数据分析:通用超市销售 17. 食品与饮料销售分析仪表板 18. 预算与实际支出分析仪表板 19. 人力资源分析仪表板:离职分析 20. 电子商务超市销售分析 21. 患者摘要仪表板:医学记录 22. 全球超市销售数据分析 23. 波士顿住房数据集仪表板:房地产 24. 洛杉矶犯罪:年度城市分析 25. IMDB电影数据集仪表板:电影对比 26. 酒店预订仪表板:全球酒店业务 27. 玩具销售数据分析:练习数据集 28. Netflix股票价格仪表板:商业分析 29. 个人财务管理仪表板:财务洞察 30. 利用Power BI深入分析银行客户流失 通过这些项目,您将能够充分理解并掌握Power BI的数据可视化与分析功能,为您的职业发展打下坚实的基础。
The future of Power BI holds a promise of even greater capabilities, innovation, and impact in the realm of data analytics and business intelligence. As we peer into the horizon, several exciting trends and developments are likely to shape the trajectory of Power BI:Advanced AI Integration: The convergence of Power BI with artificial intelligence and machine learning will enable automated insights extraction, predictive analytics, and natural language processing. Users will be able to interact with their data using natural language queries, making data analysis more accessible and intuitiveEnhanced Data Connectivity: Power BI will continue to expand its data connectivity options, facilitating seamless integration with an ever-growing variety of data sources, including IoT devices, cloud services, and external databases. This will empower organizations to derive insights from diverse and complex data streamsReal-time Analytics: The future will see Power BI becoming even more real-time and dynamic. Businesses will be able to monitor and visualize live data streams, enabling rapid decision-making based on up-to-the-minute informationEmbedded Analytics: Power BI will increasingly be embedded within other applications and platforms, bringing analytics directly to where users work. This will enhance the user experience and enable organizations to infuse data-driven insights into their day-to-day operationsEnhanced Collaboration: Collaborative features will evolve, allowing teams to work more seamlessly on shared reports and dashboards. Enhanced commenting, annotation, and version control will foster better teamwork in data analysisCustom Visualizations: The future of Power BI will likely include more advanced and customizable visualizations. Users will have the ability to create unique and tailored visuals that precisely represent their data and insightsData Governance and Security: As data privacy and security concerns continue to rise, Power BI will place a strong emphasis on enhancing data governance features. This includes tighter controls over data access, sharing, and compliance with regulations like GDPRCloud-Native Approach: Power BI's integration with the cloud will deepen, enabling users to harness the full potential of cloud computing, such as scalability, flexibility, and collaborative capabilitiesContinuous Innovation: Microsoft's commitment to ongoing development means that Power BI will continually evolve with new features, updates, and improvements. User feedback will continue to play a pivotal role in shaping the platform's evolutionThe future of Power BI is an exciting one, marked by cutting-edge technology, democratized data access, and transformative insights that will empower businesses and individuals to make smarter decisions and drive innovation in an increasingly data-driven worldIn this course you will work on 30 Power BI projects listed below:Project-1: Global Data Professionals Benchmarking DashboardProject-2: Beijing Air Quality Dashboard: DAX and VisualizationsProject-3: Real Estate in Daegu: Apartment Pros and Cons AnalysisProject-4: Super Market Sales Analysis: Power Query and DAXProject-5: COVID-19 WHO Dataset Insights: Power Query and DAXProject-6: Credit Card Defaulters Analysis: Power Query and DAXProject-7: Crime in Chicago: 3-Year Analysis with VisualizationProject-8: Customer Churn Analysis: Real-World Business ProblemProject-9: Customer Churn Analysis (Advanced Features): Data ModelingProject-10: Attrition Analysis: HR Data Transformation and VisualizationProject-11: Road Accident Analysis: Relations and Time IntelligenceProject-12: Generic Sales Analysis for Practice: Data TransformationProject-13: Maven Toy Sales Analysis: Transformations and DAXProject-14: Maven Pizza Sales Analysis: Transformations and DAXProject-15: IT Spend Analysis: Variance of Global IT FirmProject-16: Sales Data Analysis: Generic Super Market SalesProject-17: Foods and Beverages Sales Analysis DashboardProject-18: Budget vs. Actual Spending Analysis DashboardProject-19: HR Analytics Dashboard: Attrition AnalysisProject-20: E-commerce Super Store Sales AnalysisProject-21: Patient Summary Dashboard: Medical RecordsProject-22: Global Super Store Sales Data AnalysisProject-23: Boston Housing Dataset Dashboard: Real EstateProject-24: Crime in Los Angeles: Yearly City AnalysisProject-25: IMDB Movie Dataset Dashboard: Movie ComparisonProject-26: Hotel Reservation Dashboard: Global Hotel BusinessProject-27: Toy Sales Data Analysis: Practice DatasetProject-28: Netflix Stock Price Dashboard: Business AnalysisProject-29: Personal Finance Management Dashboard: Financial InsightsProject-30: A Deep Dive into Bank Customer Churn with Power BI