Data science is the use of mathematical methods to extract meaningful insights from vast quantities of data. It has the potential to fundamentally alter the way companies compete and function. It’s an area of study that draws upon a variety of disciplines such as statistics, computer programming machine learning algorithms, and domain knowledge. The professionals who are involved in it need solid technical skills as as the ability to communicate with their stakeholders.
Data scientists are moved here insatiably curious and are always looking for new information. They are problem-solvers who use their imagination to come up with solutions that have an impact. The most successful data scientists aren’t motivated by money – they’re driven by a deep curiosity.
The field of data science includes numerous processes, from collecting and preparing data to performing various analyses and delivering results in a way that can be used to make business decisions. The methods and tools used are constantly evolving.
Data preparation involves the process of aggregating, normalizing, and transform the raw data into an easier-to-manage data set for analysis. Data visualization is the process of presenting data as graphs or charts for easy reading.
Statistical modeling is at the heart of data science. It’s used to detect patterns or trends that can be analyzed to predict the outcomes. UPS, for example uses statistical models that are backed by data science to optimize routes and avoid delays caused by weather, traffic or construction. Data science is used by streaming services like Spotify and Netflix to understand your preferences and recommend music or shows that you’ll like.