![]() ![]() ![]() Now you must be wondering how in the world will they build a complex statistical model that can predict these things? And learning analytics or hiring an analyst might be beyond their scope. Let me ask you a question – if the shops around you started collecting customer data, could they adopt a data-based strategy to sell their goods? Can they forecast their sales or estimate the number of products that might be sold? This is followed by an incredulous look when I demonstrate how we can leverage the flexible nature of Excel to build predictive models for our data science and analytics projects. That’s typically the first reaction I get when I bring up the subject. ![]() ![]() Here’s a step-by-step tutorial on how to build a linear regression model in Excel and how to interpret the results.You can perform predictive modeling in Excel in just a few steps.
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