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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-mastery-for-sales-managers-2024/
课程评论：没有评论
课程名称：Power BI 从初学者到专业人士 [认证] 课程概述：本课程将教你如何使用 Power BI 创建报告、仪表板、图表、数据可视化、数据展示以及为管理团队提供现实的预测。课程内容涵盖数据收集、导入、转换、报告设计、交互性增强、关键指标计算、预测生成、审查调整、发布分享和绩效监控等多个方面。 主要内容： 1. **数据收集**：从销售记录、财务报表和费用报告等多个来源收集数据，确保数据清晰且格式正确。 2. **导入数据**：在 Power BI Desktop 中导入数据，支持多种数据来源，如 Excel、CSV、数据库和在线服务。 3. **数据转换**：使用 Power Query 编辑器清理和转换数据，包括去除重复项、处理缺失值，并创建计算列或度量值。 4. **创建报告**：设计展示销售、收入、费用和预测的报告，利用折线图、柱状图和表格等可视化方式有效呈现数据。 5. **增加交互性**：通过添加切片器、过滤器和深入挖掘选项来增强报告的交互性，使用户可以动态探索数据，获取更深层次的见解。 6. **计算关键指标**：计算重要的 KPI（关键绩效指标），如利润率、客户获取成本和销售增长率，并在仪表板上显著展示这些指标。 7. **创建预测**：利用 Power BI 的预测功能，根据历史数据生成现实的预测，并根据需要调整预测参数以提高准确性。 8. **审查与迭代**：与管理团队审查报告，确保满足其需求，并根据反馈进行必要的调整。 9. **发布与分享**：一旦报告最终确定，将其发布到 Power BI 服务中，并与管理团队和其他利益相关者分享，同时授予适当的访问权限。 10. **监控绩效**：持续监控报告的表现，随着新数据的出现更新报告，利用 Power BI 的使用分析功能追踪用户参与度并识别改进空间。 本课程通过实用的案例和实践指导，帮助你深入掌握 Power BI，使你能够为管理团队提供精准的数据分析与决策支持。
Learn to Create reports, dashboards, graphs,data visualization, data presentation and realistic forecasts for your management team using Power BI Gather Data: Collect data from various sources including sales records, financial statements, and expense reports. Ensure that the data is clean and properly formatted.Import Data into Power BI: Open Power BI Desktop and import the data into the software. Power BI supports a wide range of data sources including Excel, CSV, databases, and online services.Transform Data: Use Power Query Editor to clean and transform the data as needed. This may involve removing duplicates, handling missing values, and creating calculated columns or measures.Create Reports: Design reports to showcase sales, revenue, expenses, and forecasts. Use visuals such as line charts, bar charts, and tables to present the data effectively. Arrange the visuals on a canvas to create a dashboard layout.Add Interactivity: Enhance the reports by adding interactivity features such as slicers, filters, and drill-through options. This allows users to dynamically explore the data and gain deeper insights.Calculate Key Metrics: Calculate important KPIs (Key Performance Indicators) such as profit margins, customer acquisition cost, and sales growth rate. Display these metrics prominently on the dashboard.Create Forecasts: Utilize Power BI's forecasting capabilities to generate realistic forecasts based on historical data. Adjust the forecasting parameters as needed to improve accuracy.Review and Iterate: Review the reports with the management team to ensure they meet their requirements. Make any necessary adjustments based on feedback.Publish and Share: Once the reports are finalized, publish them to the Power BI service. Share the reports with the management team and other stakeholders, granting appropriate access permissions.Monitor Performance: Continuously monitor the performance of the reports and update them as new data becomes available. Use Power BI's usage analytics to track user engagement and identify areas for improvement
