“Data Science is the extraction of knowledge from data, which is a continuation of the field of data mining and predictive analytics.”
A Data Scientist can:
– understand the background domain
– design solutions that produce added value to the organization
– implement the solutions efficiently
– communicate the findings clearly (important!)
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
How Does Data Science Work?
Data science involves a plethora of disciplines and expertise areas to produce a holistic.
, thorough and refined look into raw data. Data scientists must be skilled in everything from data engineering, math, statistics, advanced computing and visualizations to be able to effectively sift through muddled masses of information and communicate only the most vital bits that will help drive innovation and efficiency.
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