As already addressed, most of a data analyst’s work revolves around data collection, processing and filtering, analysis, clean-up, interpretation and visualisation.

This allows you to work with data that is most relevant and valuable for your analysis. After securing your datasets, the next step is to upload them into Claude 3.5 Sonnet.

Cost-effectiveness: Many of these tools offer affordable pricing plans, making advanced data analysis accessible to businesses of all sizes. Here’s how to get started with AI to analyze your data.