What is Data Science? Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to discover hidden patterns from the raw data.
Why Data Science? ->Traditionally, the data that we had was mostly structured and small in size, which could be analyzed by using simple BI tools. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured.
Let’s have a look at the data trends in the image given below:
This data is generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments. Simple BI tools are not capable of processing this huge volume and variety of data. This is why we need more complex and advanced analytical tools and algorithms for processing, analyzing and drawing meaningful insights out of it.
Let’s have a look at the below to see all the domains where Data Science is creating its notion.
Lifecycle of Data Science Here is an overview of the main phases of the Data Science Lifecycle:
Different job roles data science offers are:
- Data Scientist
- Data Analyst
- Data Engineer
- Business Intelligence Developer and many more.
Data Science Skills
[This article has been contributed by Miss Tanu,Thank you Miss Tanu]