Students interested in mathematics, technology and problem-solving can consider data analytics and data science as alternatives to a conventional Computer Science Engineering degree. Although the two ...
The last decade has seen an explosion in the quantity and variety of data available about virtually everything including pictures, stock prices, purchase patterns, medical information, and voting ...
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Cybersecurity vs AI vs data science: Which course should you choose and where can you study it?
Students considering degree computer science, technology or related fields after Class 12 have several options beyond a ...
Click each topic area to learn more about specific courses. APPM 5720: Open Topics in Applied Mathematics Provides a vehicle for the development and presentation of new topics that may be incorporated ...
Topics include R and Python programming, cleaning messy data, statistics and data science ethics. Other courses cover data ...
We will begin from the basics of the Python programming language and learn the key tools and libraries within Python needed to solve industry problems in data science. The course will include data ...
Foundations of Algebra emphasizes computing with whole numbers and fractions, decimals, and integers; solving word problems with whole numbers, fractions, decimals and integers; solving basic linear ...
While the tech sector has made tremendous advancements in the 21st century, its workforce has not yet reflected the diversity of the customer base that it purports to serve. The factors behind the ...
The Department of Applied Mathematics offers Bachelor of Arts and Bachelor of Science degrees in Statistics and Data Science through the College of Arts and Sciences. The BA degree is designed with an ...
Through activities and discussions, DS109 is designed as an introduction to academic and personal success at BU as a Data Science Major. Topics includes advising, curriculum planning, time management, ...
This introductory course is designed to give students the basic skills to organize and summarize data, along with an introduction to the fundamental principles of statistical inference. The course ...
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