Probability And Statistics In Data Science

Data science is an interdisciplinary field where data scientists capture and work with data to make sense of otherwise unorganized and jumbled-up information. Data science involves a combination of scientific methods, algorithms, and systematic processes to unravel the raw, unstructured data they first receive.

Why is Data Science Important?

Without data science, companies of all sizes, especially large organizations, would have difficulty making informed decisions.

Data scientists extrapolate the data they collect to uncover trends in every area of the business. They help leaders and C-suite executives make decisions backed by data to continue growing their company and make the best decisions for their consumers.

Businesses are all about analytics and metrics. Without those, you don’t have a clear picture of the health of your business. Data science is essential for every business because of the value and insight it provides.This course is for absolute beginner. By the end of the course you will learn about Exploring Data Engineering Pipelines and Infrastructure ,Applying Data Science to Business and Industry  & Introducing Probability and Statistics .A Data Scientist dons many hats in his/her workplace. Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms.