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5.0
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ITSS 4353 Pardeep Kumar Singla | |||||
B | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ITSS 4353 Pardeep Kumar Singla | |||||
B | |||||
Pardeep Kumar Singla
[email protected]Grades: 151
Median GPA: B
Mean GPA: 3.081
4
Professor rating
3.5
Difficulty
4
Ratings given
75%
Would take again
Business Analytics
ITSS 4353 (Same as BUAN 4353 and OPRE 4353)
Naveen Jindal School of Management
This course examines various data mining analytical techniques to extract business intelligence from firms' business data for various applications, including supervised and unsupervised learning analytic techniques, association, customer segmentation, classification, customer relationship management (CRM), personalization, online recommendation systems, and web mining. Students will also be exposed to various business intelligence software such as Python, R, XLMiner, SAS EnterpriseMiner, or SQL Server (depending on availability). 3 credit hours.
Prerequisites: (ITSS 3312 or OPRE 3312 or BUAN 4381 or ITSS 4381) and (MATH 1325 or MATH 2413 or MATH 2417) and (CS 2305 or MATH 2418 or MATH 2333 or OPRE 3333) and OPRE 3360.
Offering Frequency: Each semester
Grades: 1,248
Median GPA: B+
Mean GPA: 3.191
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Pardeep Kumar Singla
[email protected]Grades: 151
Median GPA: B
Mean GPA: 3.081
4
Professor rating
3.5
Difficulty
4
Ratings given
75%
Would take again
Business Analytics
ITSS 4353 (Same as BUAN 4353 and OPRE 4353)
Naveen Jindal School of Management
This course examines various data mining analytical techniques to extract business intelligence from firms' business data for various applications, including supervised and unsupervised learning analytic techniques, association, customer segmentation, classification, customer relationship management (CRM), personalization, online recommendation systems, and web mining. Students will also be exposed to various business intelligence software such as Python, R, XLMiner, SAS EnterpriseMiner, or SQL Server (depending on availability). 3 credit hours.
Prerequisites: (ITSS 3312 or OPRE 3312 or BUAN 4381 or ITSS 4381) and (MATH 1325 or MATH 2413 or MATH 2417) and (CS 2305 or MATH 2418 or MATH 2333 or OPRE 3333) and OPRE 3360.
Offering Frequency: Each semester
Grades: 1,248
Median GPA: B+
Mean GPA: 3.191
Click a checkbox to add something to compare.