Data Science Interview Handbook/

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Data Science Process Pipeline

Data Science Process Pipeline

Learn about the data science process pipeline. To solve a problem, we need to follow a path to make a solution that can create business value. This lesson goes over the formal process that needs to be followed to achieve business goals.

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Performing data science is a process, and every part is crucial. To explain any of your projects during an interview, divide them into these processes. That will give the interviewer an understanding of both your problem and your solution.

Identify the problem

Today, a lot of people and companies want to implement data science and machine learning into their businesses, but they don’t know the exact power and capability of the field. Data science has some limitations, and it is important to understand these limitations before diving in.

We need to start by identifying the right problem. In order to do this, we first need to understand the business.

For example, if we want to do something like recommend a marketing campaign, we first start by asking questions such as:

  • Who are the customers?
  • What products are associated with this campaign?
  • What is the measure of a successful campaign?
  • What are the expectations (in terms of profit or business value) of this campaign?
  • What is the risk? If we do not succeed in the campaign, what is the loss?
  • What is the existing approach and what were the benefits in the past?

    With these kinds of problems, we may discover ...