It is a mistake to learn Excel by memorizing functions. The user who posted this question is not looking for a list of formulas; they are looking for a way to become employable. That distinction matters. Most tutorials teach you how to make a spreadsheet look pretty. Employers need someone who can make a spreadsheet tell them what happened, why it happened, and what will happen next.
The practical path forward starts with understanding the logic behind the tool, not the tool itself. An employer who asks for "Excel skills" is really asking for three things: the ability to clean raw data, the ability to summarize that data without errors, and the ability to present a clear answer. A VLOOKUP is useless if you do not know why you need to match two tables. A pivot table is useless if you cannot recognize which column holds the category and which holds the value. The fastest way to learn is to find real, messy datasets, public government records, sales logs from a small business, or even a list of your own monthly expenses, and force yourself to answer a specific question. What was the average expense per category last quarter? Which product had the highest return rate? Each question will teach you one function at a time, in context.
This is where AI changes the equation. You no longer have to memorize syntax or flip through help menus. You can describe what you want in plain English: "Show me the total sales by region for the last six months." An AI-native spreadsheet can generate the formula, explain why it works, and even suggest the next step. That removes the frustration that stops most beginners after the first week. But the AI cannot tell you which question to ask. That judgment comes from understanding the business problem behind the spreadsheet. So learn the logic first. Use the AI to execute the mechanics faster.
Our opinion is simple: stop treating Excel as a software tutorial and start treating it as a thinking tool. The user who posted this question already has the most important skill, they recognized what they were missing. Now they need to focus on outcomes, not keystrokes. Find a problem you care about, load the data, and let the AI handle the grunt work. That is the skill employers actually pay for.