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Viewing: PSIS 4160 : Introduction to Data Science

Last approved: Fri, 14 Apr 2017 08:04:39 GMT

Last edit: Sun, 02 Apr 2017 18:35:37 GMT

College of Professional Studies
Integrated Information, Science, and Technology (PSIS)
PSIS
4160
Introduction to Data Science
Introduction to Data Science
Fall 2017
4
Course Type
Lecture
Default Grading Method
Letter Grade
program majors
No
No
PSIS 2103 and PSIS 2105
Corequisites

25

Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Techniques used to understand, process, represent, and interpret large sets of data; fundamental concepts and abstractions used in data analysis; practical techniques employed by data scientists on a daily basis.
Upon successful completion of this course students will be able to:
• Explore the world of data analytics and examine trends in data science and big data
• Gain practical experience in working with Python analytical tools
• Explore variety of techniques to clean, organize and present data
• Develop critical thinking skills and practice oral and written communication skills
Uploaded a Course Syllabus

Course Attribute


Key: 10797