Overview
Syllabus
) Introduction.
) What is Data Analysis?.
) Sorting and Filtering. Example 1 & 2.
) FlashFill. Example 3..
) Standard PivotTable with Summarize Values By and Show Values As calculations. Example 4..
) Power Query to import, clean, transform and refresh data and load to Excel Worksheet. Complete Introduction to Power Query. Example 5..
) First look at Power Query’s Functional Language: M Code.
) Power Query to Import and combine 12 tables into one table and load directly to a PivotTable Report & Excel Chart Visualization. Example 6..
) Excel Line Chart Visualization based on PivotTable.
) Data Modeling for Examples 7, 8 & 9.
) XLOOKUP function, PivotTable and Excel Charts to build report and visualization. Example 7..
) Power Pivot, Data Model, Relationships and DAX Formulas to build Data Model PivotTable Reports. Power Query to import Excel data. Complete Introduction to Power Pivot. Example 8..
) Sort By Column Feature for Data Field in Data Table.
) Filter Context for DAX Formulas in Data Model.
) Implicit Measures and Automatic Date Grouping: Dangers of Data Models.
) Mark As Date Table.
) Send Data Model to Power BI Desktop to make Interactive & Sharable Dashboard. Example 9..
) Complete Introduction to Power BI Desktop, Including how to download free app.
) Building Interactive Visuals.
) Stacked Bar/Chart Vs. Clustered Bar/Chart.
) Complete Introduction Power BI Online and Workspaces to share Power BI Desktop files, Excel files, dashboards and data models easily online..
) What is a Dashboard?.
) Connect to Data Models stored at Power BI Online in Excel and Power BI Desktop.
) Refresh Excel Power Pivot, Power BI Desktop and Power BI Online when Source Data Changes.
) Power BI Desktop and Power Query to import 7 million rows of SQL Database sales data and build Interactive Gross Profit Dashboard. Example 10..
) What is a Columnar Database?.
) Idea behind DAX Revenue Formula (Measure).
) Log in to SQL Database, Import 7 million rows of data with Power Query in Power BI Desktop.
) Build DAX Date Table.
) Row Context in DAX Calculated Columns and DAX Iterator Functions.
) Hide Fields in Report View.
) Two-Step DAX Revenue Measure using ROUND and RELATE#D DAX functions.
) One-Step DAX Revenue Measure using SUMX DAX function.
) Compare One-Step and Two-Step Measures. Which is better?.
) Create four Remaining Measures in Report View.
) What is Gross Profit? Two Measures for Gross Profit..
) Create Two Power BI Reports, including Map Report.
) Map Visual.
) Conclusion.
) Closing and Video Links.
Taught by
ExcelIsFun