Data science is the use of mathematical methods to extract relevant insights from massive quantities of data. It could fundamentally alter the way businesses operate and compete. It’s a field of study that draws on multiple disciplines such as statistics, computer programming, machine learning algorithms, as well as domain knowledge. Its practitioners need to have solid technical skills as being able to communicate with the various stakeholders.
Data scientists are frequently immersed in curiosity, constantly seeking to uncover new truths from the vast world of data. They are problem solvers who use their creativity and ingenuity to find solutions that have an positive impact. The best data scientists aren’t motivated by money, but rather by a desire to learn.
The field of data science covers numerous processes, from collecting and preparing data, to conducting various analyses and providing results in a way that can be used to make business decisions. The tools used in data science are constantly changing.
Data preparation involves aggregating, standardizing, and transform raw data into a easily manageable dataset that can be used for analysis. Data visualization is the presentation of data in the form of charts or graphs for easy interpretation.
Data science is based on statistical modeling which helps to discover patterns and trends that can then be analyzed to predict the outcome. UPS for instance uses statistical models that are backed by data science to optimize routes, and avoid delays due to weather, traffic or construction. The streaming services like Spotify and Netflix use data science to understand your preferences and recommend shows or songs you’ll like.
