INST414
Data Science Techniques
Prerequisite: 1 course with a minimum grade of C- from (INST201, INST301); and minimum grade of C- in INST126, INST314, STAT100, MATH115, and PSYC100. Restriction: Must be in Information Science program. An exploration of how to extract insights from large-scale datasets. The course will cover the complete analytical funnel from data extraction and cleaning to data analysis and insights interpretation and visualization. The data analysis component will focus on techniques in both supervised and unsupervised learning to extract information from datasets. Topics will include clustering, classification, and regression techniques. Through homework assignments, a project, exams and in-class activities, students will practice working with these techniques and tools to extract relevant information from structured and unstructured data.
Spring 2024
4 reviews
Average rating:
2.75
4 reviews
Average rating:
4.25
1 review
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4.00
3 reviews
Average rating:
1.67
0 reviews
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N/A
Fall 2023
4 reviews
Average rating:
2.75
1 review
Average rating:
4.00
3 reviews
Average rating:
2.67
Summer 2023
14 reviews
Average rating:
3.14
Spring 2023
4 reviews
Average rating:
2.75
5 reviews
Average rating:
1.20
3 reviews
Average rating:
1.67
Past Semesters
14 reviews
Average rating:
4.07
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N/A
2 reviews
Average rating:
2.50
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N/A
2 reviews
Average rating:
4.50
5 reviews
Average rating:
4.80
6 reviews
Average rating:
1.00
1 review
Average rating:
4.00
5 reviews
Average rating:
1.20
14 reviews
Average rating:
3.14
2 reviews
Average rating:
1.00
3 reviews
Average rating:
2.67
4 reviews
Average rating:
2.00
4 reviews
Average rating:
2.00
5 reviews
Average rating:
1.20
4 reviews
Average rating:
2.75
3 reviews
Average rating:
1.67
6 reviews
Average rating:
2.67
3 reviews
Average rating:
4.00
3 reviews
Average rating:
2.67
14 reviews
Average rating:
3.14