Mastering Microsoft Excel Data Analysis with Functions

Learn to use arithmetic operators in Excel for addition, subtraction, multiplication, and division on a data set. Apply formulas to calculate total revenue and discounts with absolute referencing.

Master the Excel order of operations Pemdas by applying parentheses, exponents, multiplication, division, addition, and subtraction to real data sets using formulas and clear examples.

Explore how to analyze numerical data in Microsoft Excel using the sum, average, count, min, and max functions to quickly derive totals, means, and extrema from datasets.

Master Excel data analysis by using functions with cell references to create dynamic formulas that automatically update revenue, averages, counts, minimums, and maximums.

Master ascending and descending data sorting in Excel using a simple data set of products with price, quantity, and amount, and learn to apply sorting with the data tab.

Apply multiple filters in Microsoft Excel to filter data by more than one condition, using category and price with and/or logic.

Create drop down lists in Excel to ensure data consistency by selecting predefined values from a list or range. Apply data validation to departments and status fields to restrict input.

Master the if function in Excel to make decisions based on conditions, classify scores as excellent, good, or failed, and use and for multi-criteria to identify top students.

Learn how to use nested if statements in Microsoft Excel to evaluate multiple conditions and assign grades from a data set, including examples with scores and attendance.

Explore how to look up values in a table using vlookup, lookup, index and match, and xlookup to retrieve product names and prices from a structured data table.

Master the vlookup function in excel to retrieve prices by product id, using leftmost column lookup and exact or approximate matches with a practical table setup.

Create pivot tables from a data set to quickly summarize and analyze sales by department, with dynamic updates, filters, and pivot charts through a step-by-step process.

Learn to create charts from pivot tables to visualize data, then build a simple dataset and pivot table, and customize charts with labels, trend lines, and formatting for clear insights.

Explore conditional calculations in Excel using sumif, countif, and averageif on a sample sales dataset; learn to set ranges, criteria, and sum or average results for electronics categories.

Remove duplicate values in an Excel dataset to clean data and improve reporting accuracy, using a table, the data tab's remove duplicates feature, and conditional formatting to highlight duplicates.

Learn to extract text with left, right, and mid functions and to merge data using concatenate in Excel, demonstrated on a sample employee dataset.

Learn to convert text to numbers and dates in Excel using the value function, text to columns, and the data tab. Clean text dates and numbers to prevent calculation errors.

Explore three core Excel charts—bar charts, line graphs, and pie charts—using a simple sales dataset to visualize categories, trends, and proportions with step-by-step chart creation.

Create a basic chart from a data set in Excel, convert it to a table, and customize a clustered column chart with titles, axis labels, data labels, and trend lines.

Master how to add data labels and legends to Excel charts, display exact values, distinguish multiple data series, and customize chart elements from a simple data set.

Learn to perform regression analysis in Excel using the data analysis toolpak to explore how advertising cost affects sales revenue, with coefficients and r-squared.