Data Science
What is it?
What Is Data Science's Purpose & What Are Its Benefits?
Modern instruments and equipment allow us to record and capture so much more information than ever before. Computers are faster, hard drives are bigger and the processing power of today would be considered alien not even 50 years ago. However, with all this new data that can be harvested, it needs to be analysed in a way that enables users such as scientists and business analysts to manage and use it correctly.
Enter data science, the modern way to collect and analyse data to achieve efficient and reliable results. Its use can be varied, such as discovering how likely an individual is to buy a certain product based on their age, or to predict the most likely destination a newly discovered species of bird will emigrate to based on similar species and its food source.

How To Get Results From Data Science
Step 1 – Collect The Data
Step 2 – Prepare The Data For Analysis
Step 3 – Analyse The Data
Step 4 – Analyse The Results
Relevance
Data Science's Relevance In Today's World
The importance of data science and data analysis is unquestionable. Technology will continue to advance and computers will get smarter so it is vital that businesses, researchers and analysts alike are keeping up with the modern evolution of way that data is used.
Science as we know it is changing because of the impact of computers. Traditional methods of science (experimental, theoretical and computational) are all being affected. Data science is emerging as the next core method in scientific research and study.
Data science should be integral to all current and future projects. Decisions should be made with data driven evidence, problems should be solved with data driven solutions and opportunities should be sought out by data driven information.


