Steps of a Data Science Project Lifecycle

Business Understanding Understand the basic problem you are trying to solve

Data Exploration Understand the pattern and bias in your data

Data Visualization Create and study of the visual representation of data

Predictive Modeling It is the stage where the machine learning finally comes into your data

Data Cleaning Detecting and correcting corrupt or inaccurate records

Feature Engineering It is the process of cutting down the features

Data Mining Gathering your data from different sources