Data Science Lifecycle
Understand the data science lifecycle by examining its five critical steps: defining the problem, acquiring data, cleaning it, performing exploratory data analysis, and making inferences or predictions. Learn how these interconnected stages guide data scientists in extracting meaningful insights and solving real-world problems using tools like Python.
We know that the objective of Data Science as a discipline is to extract insights and meaning from data. To achieve this goal, data scientists follow a process that is known as the Data Science Lifecycle.
The Data Science lifecycle
The Data Science lifecycle involves ...