It’s the end of the month, and someone has sent you a spreadsheet with forty thousand rows and one question: why did the numbers move? You can sort, filter and build a pivot table. But getting from that raw file to something you’d put in front of your manager takes most of a day, and you’re never fully sure you caught every problem hiding in the data. Claude can take a lot of that work off your plate. It can read a file, tell you what’s in it, clean it, run the analysis and draw the chart. What it can’t do is know whether the answer is right, or whether the chart you asked for is the one that actually makes your point. That part is still yours. This course is built around that split.
Claude AI for Data Analysis and Visualization shows you how to use Claude as a working analyst’s assistant, from the first look at a raw file to the summary you send out. You’ll move through the work in a sensible order: understand the data, clean it, pin down the question, run the analysis, check the result, chart it, and explain it. Each step has its own prompts and habits, and you’ll see where Claude is strong and where it needs watching.
A lot of the Claude data content out there is about speed. A dashboard in minutes, a report in one click. The speed is real and you’ll see plenty of it here. But a fast wrong answer is worse than a slow right one, especially once it lands in a slide deck. So a good part of this course is about trust. How do you check a total Claude gives you? What do you do when two prompts return two different answers? How do you catch a figure that looks perfectly plausible and isn’t in your data at all?
