Data science is the study of data to gain insights for business.
It's a multidisciplinary field that combines principles and practices from mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.
Data science practitioners use machine learning algorithms to analyze numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems.
These systems generate insights that analysts and business users can translate into tangible business value.
Data scientists construct questions around specific data sets and then use data analytics and advanced analytics to find patterns, create predictive models, and develop insights that guide business decision-making.
Data science uses statistical tools, methods, and technology to generate meaning from data.
Artificial Intelligence takes this one step further and uses the data to solve cognitive problems commonly associated with human intelligence, such as learning, pattern recognition, and human-like expression.
Data scientists are present in almost all organizations and are rewarded for their highly technical skill set with competitive salaries and great job opportunities.
Data scientists use many technical tools and skills to analyze data, interpret it, and derive insights that support decision-making.
Data scientists need the following technical skills: Computer Programming, Machine Learning, Deep Learning, Data Visualization, Artificial Intelligence, Mathematics, and statistics.