1. Introduction to Data science
Data Science Data science is a field that combines techniques from mathematics, statistics, computer science, and domain specific knowledge to extract insights and knowledge from the data. The outcomes of data science are effectively utilised in decision making, problem solving, innovation, and optimisation. Data science lifecycle It is a framework which outlines the key stages involved in a data science project. It provides a structured approach of developing data-driven solutions. The life cycle of data science consists of five key steps: Business understanding, Data gathering, Data preparation and Exploratory data analysis (EDA), Feature Engineering, Model development and Evaluation. Business understanding : This is the process of identifying the business problem or research question that the project is intended to address. The outcome of this stage ensures that the data science solution aligns with the business goals which can provide values to the stakeholders. ...