
Learn to build and refresh pivot tables, create calculated fields, visualize data with pie charts and slicers, and use timelines. Connect to external data sources and Power BI data sets.
Create pivot tables from data sheets in Microsoft Excel, format data, insert a pivot table, and set rows, columns, and values. Explore organizing data by product, customer, and quarter.
Refresh pivot tables after updating data in the data sheets, using the refresh option from the menu or by right-clicking a cell, and choose refreshers to update the whole pivot.
Learn to work with pivot table values by changing the summary formulas from sum to average, minimum, and maximum, and create, customize, and view totals for each product.
Learn how to calculate values in pivot tables by adjusting sums, counts, and maximums for sales data. Build and customize pivot tables to analyze product and salesman performance.
Create a pivot chart from the dataset to visualize quarter sales by product types using a pie chart, with colors by point for quick senior management insight.
Create a pivot chart from the data to visualize product-type sales as a pie chart, customize colors and titles, and explore alternative chart types like line or column for comparisons.
Learn to create and use a slicer to filter PivotTable data by any field, such as regions, and manage filters with clear options.
Learn to create a pivot table timeline to filter dates, insert a timeline, select date ranges, and clear or apply filters to analyze monthly sales.
Connect pivot tables to external sources like google spreadsheets and excel tables via external datasets and connections. Place the pivot table and drag regions to rows to count items.
Why need PivotTable and PivotChart?
A PivotTable may be used to summarize, analyze, explore, and show summary data. PivotCharts provide visuals to the summary data in a PivotTable, allowing you to readily observe comparisons, patterns, and trends. PivotTables and PivotCharts both allow you to make informed decisions regarding crucial data in your organization. You may also build PivotTables by connecting to other data sources just like SQL Server tables, SQL Server Analysis Services cubes, Azure Marketplace, Office Data Connection (.odc) files, XML files, Access databases, and text files, or by using existing PivotTables.
What will you learn?
1. Build PivotTable and Pivot Chart
Create a PivotTable from worksheet data
Refresh PivotTables
Work with PivotTable Values
Work with calculating values in a PivotTable
Create Calculated Fields
Create a PivotChart
2. Field Arrange, Slicer and Timeline
Use slicers to filter PivotTable data
Create a PivotTable timeline to filter dates
3. Connect to other data source
Connect PivotTables from other sources
Change the source data for a PivotTable
Use another PivotTable as a data source
Create a PivotTable connected to Power BI Datasets
Who need the course?
This course is useful for all people who are working in data sector such as data engineer, data analyst and data scientist.
This course is also useful for M&E specialist to increase additional capacity
Everyone who is willing to understand about the data analysis.