Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. It is a domain that has seen a lot of growth lately, with so many tech companies coming up, data science as a career has shown huge demand, now more than ever. Still people have this question, how is data science as a career? Data science as a career is one of the top paying careers and their demand is going to rise in the future.
To be a data scientist one needs to have a vast range of skill sets. A Data Scientist, according to Harvard Business Review, “is a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data”. Therefore it comes as no surprise that Data Scientists are coveted professionals in the Big Data Analytics and IT industry. If you want to become a data scientist just Build on the right skills and Advance in your Data Science career.
To take up Data Science as a career you can Learn Data Science from Scratch by starting with Python or R, which are the two most popular coding languages for Data Scientists. Also one should study mathematics and Statistics so as to develop an analytical mind.
A Data Scientists job:
Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.
Data science as a career typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database.