About the product
Track Objectives:
After completing this program, audiences will be able to:
Create and formatting measures and KPIs.
Create PivotCharts, use cube functions, and construct graphs that can summarize the information retrieved by using cube functions.
Build Excel Data Model, connect to databases, transform the data into a convenient form, and load the data into Excel tables or into the Data Model.
Transform formatted Excel reports into usable data to perform further analysis.
Describe the trends in BI, describe the process of data analysis in Power BI.
Use the key visualizations in Power BI and describe the rationale for self-service BI.
Use Q&A to ask questions in natural query language, and create content packs and groups.
Use the Microsoft Power BI suite of tools to connect to a wide variety of data sources. These include the main industry-standard databases, Microsoft cloud-based services—Microsoft Azure SQL Database, Azure Data Lake and Azure Machine Learning—alongside Microsoft Excel® and other files, and software as a service (SaaS) providers such as Microsoft Bing®, Facebook, and MailChimp.
Goes behind the scenes of the visualizations, and explores the techniques and features on offer to shape and enhance your data, and create attractive reports, while helping to find hidden insights into data.
After completing this program, audiences will be able to:
Create and formatting measures and KPIs.
Create PivotCharts, use cube functions, and construct graphs that can summarize the information retrieved by using cube functions.
Build Excel Data Model, connect to databases, transform the data into a convenient form, and load the data into Excel tables or into the Data Model.
Transform formatted Excel reports into usable data to perform further analysis.
Describe the trends in BI, describe the process of data analysis in Power BI.
Use the key visualizations in Power BI and describe the rationale for self-service BI.
Use Q&A to ask questions in natural query language, and create content packs and groups.
Use the Microsoft Power BI suite of tools to connect to a wide variety of data sources. These include the main industry-standard databases, Microsoft cloud-based services—Microsoft Azure SQL Database, Azure Data Lake and Azure Machine Learning—alongside Microsoft Excel® and other files, and software as a service (SaaS) providers such as Microsoft Bing®, Facebook, and MailChimp.
Goes behind the scenes of the visualizations, and explores the techniques and features on offer to shape and enhance your data, and create attractive reports, while helping to find hidden insights into data.
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