How to think like a data scientist sandeep

This document provides guidance on how to think like a data scientist. It outlines prioritizing the most important problems, decoding the key issues, and using a structured process for data science. This includes analyzing data, asking questions to arrive at conclusions, and making observations for accurate results. Learning by doing is emphasized as the best way to apply the knowledge, such as by immediately solving real problems with real data. The document also discusses how these principles are relevant for managers in India, including understanding models, deploying hypotheses, generating data, searching for mechanisms, and ensuring reproducibility and impact.