Data Science Lifecycle Explained
A detailed walkthrough data science life cycle with resources to get started
Ever since Data Science was given the ‘The sexiest job of the 22nd century’ title, the demand of data scientist is rising on a peak in every industry. Almost all companies are trying to create data science application out of their own data to derive insights. The number of opportunities and different roles of data scientist are increasing with rapid growth in technology to analyse big datasets.
The demand and salary attached to the data scientist career remains high. The Bureau of Labor Statistics (BLS) claims that jobs for computer and information research scientists, which includes data scientists will experience 14% growth through 2028 and a data scientist’s average salary is $118,370 per year.
But the main question arises almost to everyone ‘Hey, DS looks amazing so How do we get started’. Here is my attempt to describe the whole life cycle of Data Science in one blog. You can read my blog on how I got into Data Science.
Data science lifecycle can be interpreted in various ways for instance.
- Data science process cycle — by Microsoft.
