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This course enables you to develop your own data models to gather accurate, complete and timely reports from your enterprise system. Whether you are new to Excel or an advanced user, Grey Campus Power course will cover what you need to know to become a Power BI User.
In this course, we will cover the various topics about the power BI which includes:
Each and every topic mentioned above are explained in detail in the Hands-on videos. Excercises and datasets included in this course are useful to practice and implement the concepts learned in this course.
This course is is intended for the analysts and business users who are willing to explore the Power BI tools present in Microsoft Excel 2013. This training is best suited for all business professionals: data analysts, developers, IT professionals, project leads, and project managers.
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30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Course Introduction|
|Section 2: Publishing Excel Spreadsheets using SharePoint|
Publishing Excel Spreadsheets using SharePointPreview
|Section 3: Study the existing ER diagram, metadata of the existing database schema|
Study the existing ER diagram, metadata of the existing database schema
|Section 4: Identify cardinality and design a layout for Excel based data model|
Identify cardinality and design a layout for Excel based data model
|Section 5: Using Power Query to create data models|
Using Power Query to create data models
|Section 6: Using Power Pivot, design and manage the newly built data model|
Using Power Pivot, design and manage the newly built data model
|Section 7: Define entity relationships and check cardinality|
Define entity relationships and check cardinalityPreview
|Section 8: Develop Interactive Dashboards using Power Views|
Develop Interactive Dashboards using Power Views
|Section 9: Using Timelines and Tab views for Dashboards|
Using Timelines and Tab views for Dashboards Part 1Preview
Using Timelines and Tab views for Dashboards Part 2
|Section 10: Additional Material and Dataset|
|Section 11: Exercises|
|Section 12: Mock Test|
|Section 13: Course Conclusion|
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