: Some reviewers on Amazon note that it may be too elementary for seasoned data scientists who already have experience structuring complex problems.
: It is highly recommended for product managers, designers, and engineers who may not have a quantitative background but need to interact with data analysts. Weaknesses : Thinking With Data
: Defining how the work will be used and who will take action based on it. : Some reviewers on Amazon note that it
: Understanding the background of the business or project. such as causality and reasoning
: It explores common logical structures, such as causality and reasoning, to help unveil the actual problem rather than just reporting surface-level numbers. Critical Reception Strengths :