Microsoft Data Analysis Tools: Excel, Power Query, Power BI, Dataflow, DAX, and M Code

Microsoft Data Analysis Tools: Excel, Power Query, Power BI, Dataflow, DAX, and M Code

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7. #3: Use Power Query to load a table to the PivotTable Cache.

7 of 14

7 of 14

7. #3: Use Power Query to load a table to the PivotTable Cache.

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Classroom Contents

Microsoft Data Analysis Tools: Excel, Power Query, Power BI, Dataflow, DAX, and M Code

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  1. 1 1. Introduction
  2. 2 2. List of MS Power Tools taught in video
  3. 3 3. Preview of 7 examples
  4. 4 4. Why use Worksheet as a data analysis solution?
  5. 5 5. #1 Worksheet Formula solutions: XLOOKUP to do data modeling , PivotTables, dynamic spilled array formulas, and the GROUPBY and PIVOTBY functions
  6. 6 6. #2: Power Query to import data .txt & .xlsx, transform the data create a report.
  7. 7 7. #3: Use Power Query to load a table to the PivotTable Cache.
  8. 8 8. Fix broken On Premises File Path: Data Source Settings.
  9. 9 9. #4: Json data, Power Pivot, Data Model, DAX formulas, Row Context and Filter Context for creating Data Model PivotTable Reports.
  10. 10 10. #5 Xml data, Power BI Desktop, Data Model, DAX formulas and Interactive Visuals. Visualization tips too.
  11. 11 11. #6 Power BI Online Services
  12. 12 12. #7 Dataflow Online Power Query
  13. 13 13. Summary
  14. 14 14. Conclusion

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