While these may be impossible to handle manually, they’re perfectly manageable with Microsoft Excel. Data Visualization: Use graphs or other type of visualization technique to show your results.Data Analysis: Perform the necessary calculations to extract useful information. ![]() ![]() Data Cleaning: Transform and rearrange the data in a way suitable for data analysis.And whether you’re analyzing a client’s data or using your company’s data to make executive decisions, your tools have to be able to handle the tasks you perform with that information.įor instance, if you ’ re a data analyst, most of the time you go through these stages of data analysis: You can’t manage one without affecting the other. It’s an obvious, well-known fact that data and business go hand in hand.
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