What Is Data Science?

Data science

Data science is a multidisciplinary field that involves studying and analyzing large sets of data to uncover valuable insights for businesses. It combines principles from mathematics, statistics, artificial intelligence, and computer engineering. Data scientists use various methods and technologies to process both structured and unstructured data, seeking findings based on past events to get future predictions and recommendations. It’s all about extracting meaningful knowledge from data through a scientific approach.

In simple terms, data science means digging deep into a huge pool of data to discover valuable insights. For example, say we have textual data in its raw form. We can use data science to create further text by creating bigram language models.

Data science pipeline

So, how does data science transform the data into insights? Let’s learn about this process with the data science pipeline. The data science pipeline or data science workflow is a systematic process to extract insights and value from data. The pipeline consists of problem formulation, data collection, data cleaning, data exploration, modeling and evaluation, getting interpretations, and deployment of models. Here’s a typical data science pipeline broken down into key steps.

Problem definition

We start with a clear mindset for any data science project, knowing what problem we want to ...