When it comes to manipulating data by using various tools and algorithms, Data Science is a term that comes into the picture. It includes conceptual aspects of data analysis, statistics and machine learning. It tackles two kinds of data: the structured and unstructured. Generally, the data we see or deal with every day is small in size, which is mostly structured, but the data in the industries are mostly semi-structured or unstructured. To handle this, data science is utmost required.
Why Data Science is needed in today’s scenario?
The main reason that why data science fits in the present scenario is the rapid growth in data on a daily basis. The generation of data is done from various sources such as multimedia forms, text documents, financial logs, etc. Ordinary tools are unable to process such large variety and quantity of data. That’s why we require some advanced, smart tools and modernized algorithms to process these data in an efficient way and draw significant results out of it.
Another great requirement is in Artificial Intelligence (AI). As AI requires to collect a lot of data to work efficiently, data science can help it in an easier way. The data collected by the data scientists can be used to find new patterns and designs that can be used to come up with new solutions.
- Online Search: The most common use is in the internet search. All the search engines use algorithms and patterns to return the best-suited results. Any search engine, be it a big search engine or small, is incomplete without it.
- Recommendations Systems: You have certainly observed that while surfing any website, a small ad or a pop-up shows up somewhere on the site. This ad could be from any online shop, recommending you to buy a certain product. This is accomplished by data science. It analyses your search patterns and generates a recommender system for you.
- Image Recognition: When you upload any picture with your friends on any social media, it automatically detects faces in the picture and starts suggesting the names of those friends. This is done by Artificial Intelligence, which in fact is a part of data science.
- Medical Uses: Machine Learning has been used to detect tumors, cancers or any other type of disease. Advanced treatment became possible through research in genomics and genetics. It requires a lot of research to understand the in-depth details of the DNA impact and how it would react to certain drugs and diseases.
With data science coming into the picture, it unlocks vast career opportunities that one could select. Since data growth has reached new heights, the demand for a more skilled and professional data scientist is rising rapidly. Talking financially, an eye-catching fact is the income which is no doubt one of the highest in all domains at the moment.