Data Scientist
Data Scientist
Data scientists use statistical methods to collect and organize data. Problem-solving skills. Data scientists must devise solutions to the problems they encounter in data collection and cleaning and in developing statistical models and algorithms
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at least a bachelor's degree, but some jobs require a master's or doctoral degree. Common fields of degree include mathematics, statistics, computer science, business, and engineering
Address: 351 Ralph G. Anderson Building
Lexington, KY 40506-0503
Website: https://www.engr.uky.edu/data-science
Information on the Major: Administered through the UK Department of Computer Science, the master’s degree in data science is a two-year interdisciplinary program taught by faculty from three complementary programs: computer science, biostatistics and the Institute of Biomedical Informatics. The curriculum aims to prepare the future data science professional with a critical skillset that includes database management, statistical and machine learning techniques and big data analytics.
Address: 700 Technology Square
Building NE48-200
Cambridge, MA 02139
USA
Website: https://professional.mit.edu/course-catalog/applied-data-science-program-leveraging-ai-effective-decision-making
Information on the Major: Data is getting created at a rapid pace. It is estimated that more than 2 quintillion bytes of data have been created each day in the last two years. As organizations experience an overflow of data,
Address: 521 Lancaster Ave. Charles Douglas Whitlock Bldg. CPO 54, Room 112. Richmond, KY 40475.
Website: https://catalogs.eku.edu/undergraduate/science-technology-engineering-mathematics/mathematics-statistics/data-science-statistics-bs/
Information on the Major: understand the applications and use of data science and statistics in everyday life;
be able to apply a wide variety of statistical techniques;
be able to analyze large, complex data sets;
use computer packages to perform statistical analyses;
be well qualified for employment in industry, government, and the actuarial profession; and
be prepared to pursue graduate work in data science or statistics.
tableau, PowerBI, Bokeh, Plotly, and Infogram
provide leaders with the valuable information they need to make confident decisions, propel businesses forward, drive change in communities, and so much more.
Data Quality: Data scientists need high-quality data to perform
Technical Complexity: Data science involves complex technical skills such as coding, statistics, and machine learning, which can be challenging to master.
office setting 40-hour Monday through Friday workweek
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Career Researched By: connor falls