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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
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| Name | Grades | Rating | |||
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ITSS 4353 Prajakti Akarte | |||||
B+ | |||||
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| Name | Grades | Rating | |||
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ITSS 4353 Prajakti Akarte | |||||
B+ | |||||
Prajakti Akarte
[email protected]Grades: 479
Median GPA: B+
Mean GPA: 3.338
4.8
Professor rating
2
Difficulty
5
Ratings given
100%
Would take again
Business Analytics
Naveen Jindal School of Management
Explore the fundamentals of business analytics, focusing on data-driven decision-making. Topics include understanding of types of analytics, including descriptive, predictive, prescriptive, and diagnostic analytics. Focus will be on essential topics such as data collection, analysis, visualization, and interpretation. Supervised and unsupervised data mining techniques will also be explored. Applications of these methods to real-world business scenarios are covered. Gain hands-on experience with industry-standard software such as MS Excel, PowerBI and Python to enhance your analytical skills and strategic thinking. 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: 1,131
Median GPA: B+
Mean GPA: 3.178
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Prajakti Akarte
[email protected]Grades: 479
Median GPA: B+
Mean GPA: 3.338
4.8
Professor rating
2
Difficulty
5
Ratings given
100%
Would take again
Business Analytics
Naveen Jindal School of Management
Explore the fundamentals of business analytics, focusing on data-driven decision-making. Topics include understanding of types of analytics, including descriptive, predictive, prescriptive, and diagnostic analytics. Focus will be on essential topics such as data collection, analysis, visualization, and interpretation. Supervised and unsupervised data mining techniques will also be explored. Applications of these methods to real-world business scenarios are covered. Gain hands-on experience with industry-standard software such as MS Excel, PowerBI and Python to enhance your analytical skills and strategic thinking. 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: 1,131
Median GPA: B+
Mean GPA: 3.178
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