课程大纲
介绍Data Analysis工具
- Python、R、Power Query和Power BI的概述
- 跨行业进行数据分析的应用
- 工具和环境的设置
Data Cleaning和准备工作
- 使用Python库(Pandas)进行数据清理
- 使用Power Query进行数据清理和转换
- 处理缺失数据和不一致
使用R进行统计分析
- R中的基本统计函数和数据操作
- 探索性数据分析
- 构建和解释统计模型
Data Integration和转换
- 使用Power Query从多个来源组合数据
- 使用Power BI集成Python和R工作流
- 确保数据的一致性和质量
使用Power BI可视化数据
- 创建动态仪表板和可视化
- 使用Power BI来识别趋势和见解
- 共享和发布报告
应用程序和行业案例研究
- 数据分析中的真实案例研究
- 为常见行业场景开发工作流程
- 动手项目以巩固学习
总结和结论
要求
- 统计学的基本了解
- 熟悉电子表格和数据输入
- 无需事先的编程经验
观众
- Business分析师
- 数据专业人员
- 项目经理
- 行政人员
客户评论 (5)
内容很艰难,但我必须付出的额外努力说明我更好地记住和理解 Power BI。
Melvin - TLI Group
课程 - Power BI DAX Fundamentals
机器翻译
讨论我们的问题
Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia
课程 - Power BI for Developers
机器翻译
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
课程 - Advanced Power BI
The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)
Anne-Cecile Jacquot - Ameropa
课程 - Excel to Power BI
The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.