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所在平台: Udemy |
课程主页: https://www.udemy.com/course/power-bi-in-less-than-1-hour/
课程评论：没有评论
**课程总结：一小时掌握 Power BI** 本课程旨在帮助学员在短时间内（不到一小时）高效学习和掌握 Microsoft Power BI 工具，用于商业分析和商业智能。课程内容涵盖了使用 Power BI 进行数据可视化的关键技能，特别强调了快速上手和实际应用。 **核心内容要点：** * **Power BI 的基本设置与数据导入：** 学员将学习如何安装 Power BI Desktop，以及将各种数据源导入到 Power BI 的方法。 * **数据准备（清洗与合并）：** 课程重点讲解如何对导入的数据进行转换、清洗和合并，以确保数据的一致性和可用性。 * **数据分析与可视化：** 学员将学习如何创建和使用数据透视表（Pivot Tables）和数据透视图（Pivot Plots），以及利用切片器（Slicers）对数据进行灵活筛选和分析。 * **报告发布与共享：** 课程最后会指导学员如何将制作完成的报告发布到 Power BI 服务，以便与他人共享。 **学习目标：** 完成本课程后，学员将能够熟练运用 Power BI，创建美观且具有洞察力的数据可视化报告。这些技能对于数据分析师、商业智能分析师等职位至关重要，有助于学员在相关行业中取得职业发展。 **课程亮点：** 本课程以“在更短的时间内掌握 Power BI”为目标，精炼了核心知识点，帮助学员快速构建数据可视化能力。Power BI 作为数据分析师和数据科学家的重要工具之一，掌握它将极大地提升学员的职业竞争力。
The course- Power BI in less than 1 hr- teaches students how to use Power BI for business analytics and intelligence in less than an hour. Students will be taught how to set up power BI; how to import data into power BI; how to transform and merge datasets; how to generate pivot tables and plots; how to use slicers to slice data; and finally, how to publish reports in Power BI. At the end of the course, students will be well equipped to visualise data using charts, tables, slicers, pivot charts and tables, using Power BI. This knowledge of data visualisation in Power BI will enable students to seek Business Analytics and Business Intelligence roles in industry. Data Visualisation is a key took in any data analyst and data scientists tool kit, and Power BI is one of the most widely used softwares for data visualisation, so having knowledge of Power BI will allow students to progress as business intelligence and data analysts. The course has been designed to teach Power BI to students in the shortest amount of time as possible. And at the end of the course, students will be able to create beautiful reports, using pivot tables and pivot plots, that will aid in data visualisation. This course attempts at helping students master Power BI for data visualisation. The following topics are taught in the course:1. Installing Power BI2. Importing data into Power BI3. Merging data4. Transforming data5. Calculated fields in Power BI6. Pivot Tables in Power BI7. Pivot Plots in Power BI8. Slicers in Power BI9. Publishing reports in Power BI
