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DNOM 650: Directed Study in Denominational Contemporary Polity
1.00 Credits
Eastern University
Directed Study in Denominational Contemporary Polity
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DTSC 220: Introduction to Data Science
3.00 Credits
Eastern University
Introduction to the tools and techniques of working with, manipulating, and analyzing data sets. Students will employ more intuitive to derive relevant information and draw conclusions with large data sets.
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DTSC 250: Statistics Using R
3.00 Credits
Eastern University
This course will introduce statistical program R and build upon prior statistics knowledge. Students will both complete hand calculations and execute them in R.
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DTSC 250 - Statistics Using R
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DTSC 320: Data Management
3.00 Credits
Eastern University
This course considers the ways data can be organized, cleaned and managed within and between disparate data sets. More formal algorithmic techniques are emphasized with the end of prediction and analysis in mind.
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DTSC 320 - Data Management
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DTSC 400: Applied Data Science
3.00 Credits
Eastern University
This course serves as a capstone for the Data Science Major. The student will apply the techniques learned to actual data sets in their chosen cognate area.
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DTSC 401: Directed Study
1.00 Credits
Eastern University
Directed Study
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DTSC 401 - Directed Study
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DTSC 420: Ethical and Philosophical Issues in Computing
3.00 Credits
Eastern University
This course will introduce students to various ethical issues related to computing technology and the internet. Free/open source software, cybersecurity, privacy, monopoly power and artificial intelligence will be considered within a Christian framework.
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DTSC 420 - Ethical and Philosophical Issues in Computing
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DTSC 495: Internship
2.00 Credits
Eastern University
Internship
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DTSC 495 - Internship
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DTSC 498: Teaching Assistant
1.00 Credits
Eastern University
Teaching Assistant
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DTSC 498 - Teaching Assistant
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DTSC 520: Fundamentals of Data Science
3.00 Credits
Eastern University
Introduction to foundational concepts, technologies, and theories of data and data science. This includes methods of data acquisition, cleaning, analysis, and visualization. Taught in Python.
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DTSC 520 - Fundamentals of Data Science
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