Power BI - Use Power Query to Transform Your Data
这个网络直播, part of the 2020 Power BI series, focuses on using Power Query (Get and Transform) to clean, shape and transform your messy data while still allowing you a one-click refresh.
格式
网络直播
日期
2024年6月14日
NASBA Field of Study
Computer Software and Applications
水平
中间
CPE学分
2
教练
布莱恩史密斯
可用性
产品编号
VCXOPBIS5240614
这个网络直播 is part of the 2020 Power BI Series. Please see below for the suggested viewing order.
Data can be messy! In other words, it is not always clean and neat. Data comes from various sources like text files, Excel spreadsheets, databases, report files, etc. This is how most data analysis projects fail - the inability to get the correct data.
这个网络直播 focuses on using Power Query (Get and Transform) to clean, shape and transform your messy data while still allowing you a one-click refresh. We will review various data issues including appending files, combining multiple files from a folder, adding custom columns, unpivoting data, creating a lookup table, 还有更多.
This series is presented using Excel 2019/Office 365. Regardless of the version you are using, most concepts covered in this webcast series apply to all versions of Excel.
Explore the other webcasts in the 2020 Power BI Series:
- Power BI - Introduction to MS Power BI Tools
- Power BI - Prepare Your Data Efficiently for Excel Analysis
- Power BI - Analyze Your Data With Excel Pivot Tables
- Power BI - Create Excel Dashboards for Maximum Impact
- Power BI - Use Power Query to Transform Your Data
- Power BI - Go Beyond PivotTables with Power Pivot
- Power BI - Use Advanced Calculations with DAX Formulas
- Power BI - Use PBI Desktop to Create Reports and Dashboards
- Power BI - Share Your Data Analysis using PowerBI.com
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- Data modeling in Power Pivot
- Using basic DAX to create calculations
- What are and when to use calculated columns and measures
- Using the data model in Power Pivot to create PivotTables
- Hierarchies in Power Pivot
Learning Outcomes
- Create a data model using Power Pivot
- Differentiate between calculated columns and measures
- Use Power Pivot for data analysis
Who Will Benefit
- Anyone who uses or wants to use Excel for data analysis
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