
Explore essential Excel formulas for data analysis, including sum, average, count, and if, applied to a simple data set of employees, departments, and performance scores.
Learn to remove duplicate data in Microsoft Excel by selecting your dataset, using the Data tab to remove duplicates, and preserving unique values with optional column-specific checks and backups.
Explore how to split full names into first and last names and to combine data using flash fill and text to columns in Excel, with no formulas needed.
Explore how to perform correlation and regression analysis in Excel using a simple sales dataset, and interpret outputs like r-squared, p-values, and anova results for data-driven decisions.
Learn how to perform regression analysis in Excel using the data analysis toolpak. Analyze how advertising cost affects sales revenue and interpret the regression output, including coefficients and R-squared.
Visualize customer feedback in Excel to reveal insights on satisfaction, pain points, and improvement opportunities, using tools like average rating charts, bar charts, and pie charts.
Build a dynamic dashboard by creating pivot tables and pivot charts from a simple data set, then use slicers to explore revenue by product and region.
Become a data driven decision maker with "Excel Data Analysis: The Complete Analysis Masterclass." This all-in-one course is designed to take you from data analysis basics to advanced Excel techniques, helping you master how to explore, visualize, and interpret data for impactful business insights.
Whether you're a student, business professional, analyst, or entrepreneur, this course will empower you with the tools and knowledge to confidently analyze data using one of the most powerful spreadsheet applications in the world — Microsoft Excel.
What You’ll Learn:
Data Analysis Foundations: Learn the principles of data structuring, formatting, and exploration
Advanced Excel Functions: Master logical, statistical, and lookup functions (IF, SUMIFS, VLOOKUP, INDEX/MATCH, etc.)
Sorting & Filtering: Quickly organize and find key data
Data Cleaning Techniques: Use tools like Text to Columns, Flash Fill, and Remove Duplicates
PivotTables & Pivot Charts: Create dynamic summaries and visualize large datasets
Dashboards & Data Visualization: Build insightful dashboards and use charts to tell a story with your data
What-If Analysis: Use Goal Seek, Scenario Manager, and Data Tables for forecasting and planning and more.
By the end of this course, you’ll be able to confidently analyze data, create meaningful reports, and make informed decisions using Microsoft Excel. If you're ready to elevate your analytical thinking and Excel skills, enroll now and start mastering data analysis today!