Excel Data Analysis and Pivot Table: Build Smart Dashboards

Explore enabling PowerPivot in Excel, create pivot tables, and structure data in tabular format with header rows, no merged or blank rows, single data types per column, and use slicers.

Master data cleaning and formatting in Excel to enable accurate analysis and reliable pivot tables, using trim, proper case, duplicate removal, and consistent date formats.

Learn how to use Excel tables for dynamic data analysis, including auto expanding formulas, dynamic named range, filtering, sorting, styling, and pivot table summaries.

Import data from external sources such as CSV, Excel, websites, and databases into your workbook, then transform in Power Query Editor and load as a table to build smart dashboards.

Create a pivot table from a data range or table in Excel to summarize sales by product, using quantity as rows, unit price as columns, and grand total as values.

Explore the pivot table field list to summarize and analyze data, using filter, rows, columns, and values to update the table instantly.

Master pivot table fields by using rows for vertical data, columns for horizontal comparisons, values for calculations, and filters to refine results with a slicer.

Learn basic data summarization in Excel with sum, count, and average to derive totals, counts, and averages from data ranges like unit sold.

Master Excel data summarization using five functions—sum, average, count, minimum, and maximum—to analyze sales data, identify top products, and answer key business questions.

Learn how to format numbers in pivot tables, convert values to currency, adjust decimals, and apply consistent formats across multiple cells to clarify sales data and totals.

Learn how to sort and filter data inside a pivot table to highlight top performers, focus on specific categories, and spot trends, using a slicer and timeline.

Learn to group data in Excel with pivot tables by dates, numbers, and text to summarize sales by month, range, and category, then count and analyze groupings to reveal performance.

Learn how to create and use slicers with a pivot table to filter data interactively by category, date, and sales amount, building smarter dashboards.

Explore pivot table basics to create calculated fields, such as profit from sales minus costs, and combine north and south to form a new field.

Create a pivot table with multiple data fields to show sales, cost, and profit side-by-side by region and product, enabling quick profit analyses.

Master Excel data analysis by computing percent of total, running totals, and difference from previous month, with proper currency and percentage formatting.

Learn to connect pivot tables to dynamic named ranges using an offset-based formula, enabling auto updates to pivots, charts, slicers, and timelines as source data grows.

Create pivot charts from pivot tables to build dashboards with slicers and timelines, using recommended chart options. Enable dynamic ranges for automatic updates and filter by region or product.

Choose the right chart in Excel for your data: column/bar for comparisons, line for trends, pie for parts, area or combo for complex data; rely on the recommended chart feature.

Create pivot tables, slicers, timelines, and charts to analyze data, filter by month, compare trends, and build interactive dashboards.

Create interactive dashboards in Excel by cleaning data, turning it into a table, and building pivot tables, slicers, timelines and charts to visualize sales by product and region.

Explore common pivot table mistakes and how to avoid them in Excel dashboards. Learn to use a proper Excel table, remove blanks, place fields correctly, and refresh data.

Improve Excel performance on large datasets by using tables, avoiding volatile functions, adding helper columns, minimizing array formulas, and leveraging Power Query, Power Pivot, and PivotTable for efficient data modeling.

Tailor reports to audience and keep visuals simple, focusing on key metrics. Use appropriate charts, conditional formatting, and slicers, and document data sources for clear, actionable Excel reporting.

Analyze sales data in Excel using beginner-friendly tables, total calculations (units sold times unit price), sums, averages, and pivot tables to reveal best and least sellers by region and date.

Analyze HR data in Excel by counting employees, calculating current staff, assessing gender ratio, computing average salaries, and building department-level insights with pivot tables.