INFO201
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INFO 201 - Research Design and Applications for Data and Analysis
Course Title
Research Design and Applications for Data and Analysis
Course Description
This course introduces students to the data sciences landscape, focusing on learning how to apply data science techniques to uncover, enrich, and answer the questions you will encounter and originate in the industry. After an introduction to data science and an overview of the course, students will explore decision-making in organizations and big data's emerging role in guiding tactical and strategic decisions. Lectures, readings, discussions, and assignments will teach how to apply disciplined, creative methods to ask better questions, gather data, interpret results, and convey findings to various audiences in ways that change minds and behaviors.
Minimum
3
Maximum
3
Grading Basis
Default Letter Grade; S/U Option
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Replacement Courses. Upon passing, students can use the following course(s) to replace a deficient grade for this course.
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Student Learning Outcomes
Formats
Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
1.5
Maximum Hours
1.5
Lecture Mode of Instruction
In Person, Online
Minimum Hours
9
Maximum Hours
9