Data science is a discipline that focuses on using mathematical techniques to extract meaningful insight from massive amounts of data. It has the power to fundamentally change the way businesses compete and perform. This area of study draws upon a variety of disciplines including statistics, computer programs, machine learning algorithms, domain knowledge, and more. Its professionals must have high-tech skills and be able to communicate with the various stakeholders.
Data scientists are frequently fascinated, always looking to discover new insights from the world of information. They are problem-solvers that use their creativity to find solutions that have an impact. The best data scientists don’t earn money, but rather are motivated by their curiosity.
The field of data science encompasses various processes, ranging from collecting and preparing data to performing various analyses and providing results in useful formats for business decisions. The tools and methods employed by data science are constantly changing.
Data preparation includes normalizing, aggregating and changing the raw data to create an easier-to-manage data set for analysis. Data visualization is the presentation of data in the form of charts or graphs to facilitate easy interpretation.
Data science is built on statistical modeling, which helps to discover patterns and trends that can be analyzed in order to predict the outcome. For example, shipping company UPS employs data science-based models to optimize routes and avoid delays caused by traffic, weather or construction. Streaming services like Spotify and Netflix employ data science to analyze your preferences, and recommend music or shows that you’ll love.