A Hands-On Introduction to Data Science

So far, our work on data science problems has primarily involved applying statistical techniques to analyze the data and derive some conclusions or insights. But there are times when it is not as simple as that. Sometimes we want to learn something from that data and use that learning or knowledge to solve not only the current problem but also future data problems. We might want to look at shopping data at a grocery chain, combined with farming and poultry data, and learn how supply and demand are related. This would enable us to make recommendations for investments in both the grocery store and the food industries.