Life Cycle of Data Science Project

In order to successfully execute the data science project one need to follow concrete plan in order to achieve the goal

1) Business understanding

Ask relevant questions and define objectives for the problem that needs to be solved

2) Data Mining

Gather and scrape the data necessary for the project

3) Data Cleaning

Fix the inconsistencies in the data and handle the missing values

4) Data Exploration

Preparing hypothesis about the defined problem by analyzing the data

5) Feature Engineering

Select the features that are important and remove unwanted features 

6) Predictive Modelling 

Train the data using machine learning models and evaluate the performance and use them to make the predictions

7) Data Visualization

Communicate the finding with key stakeholders using plots and interactive visualizations