What Is Data Science?

Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data.

Data Science has emerged as a very promising career path for skilled professionals. The truest essence of Data Science lies in the problem-solving capabilities to provide insights and solutions driven by data. There is a lot of misconception when it comes to Data Science, the Data Science life cycle is one way to get a clearer perspective to understand what Data Science really is.

Data Science Life Cycle

Data science takes into account the whole process starting from understanding the business requirements to preparing the data for model building and deploying the insights finally. The whole process is handled by different professionals including Data Analysts, Data Engineers, and Data Scientists. The role depends upon the size of the company, sometimes all the processes are done by just one professional. Let us try to understand why python is the right programming language for Data Science.

Why Python For Data Science?

Python is no-doubt the best-suited language for a Data Scientist. I have listed down a few points which will help you understand why people go with Python for Data Science:

• Python is a free, flexible and powerful open-source language
• Python cuts development time in half with its simple and easy to read syntax
• With Python, you can perform data manipulation, analysis, and visualization
• Python provides powerful libraries for Machine learning applications and other scientific computations