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Virginia Tech

CS-3654: Introductory Data Analytics and Visualization

Description: Basic principles and techniques in data analytics; methods for the collection of, storing, accessing, and manipulating standard-size and large datasets; data visualization; and identifying sources of bias.

Pathways: N/A

Course Hours: 3 credits

Corequisites: N/A

Crosslist: CMDA-3654, STAT-3654

Repeatability: N/A

Sections Taught: 43

Average GPA: 3.43 (A-)

Strict A Rate (No A-) : 47.13%

Average Withdrawal Rate: 3.25%

Christopher L North202352.0%31.5%8.7%2.3%2.4%3.2%3.3111
John E Wenskovitch202268.3%20.6%8.1%0.8%0.0%2.1%3.563
Yalong Yang202266.7%19.0%7.1%4.8%0.0%2.4%3.491
Jesse M Harden202484.8%13.4%0.9%0.0%0.0%0.9%3.772
Christian Lucero202359.0%26.0%5.6%1.8%3.7%4.0%3.378
Tajbakhsh Sam Davanloo201525.0%37.5%0.0%25.0%0.0%12.5%2.711
Srijan Sengupta202078.9%6.4%2.2%2.2%6.7%3.7%3.535
Xin Xing202354.2%35.2%5.5%0.0%3.0%2.1%3.395
Mark Y Liu202356.3%12.5%6.3%0.0%18.8%6.3%2.931
Sehrish Basir Nizamani202483.4%11.1%0.0%0.0%0.0%5.6%3.861
Deborah B Smith201483.3%5.6%0.0%0.0%11.1%0.0%3.501
Peter Hauck201861.9%28.6%4.8%0.0%0.0%4.8%3.521
Tanushree Mitra202086.4%9.1%0.0%0.0%0.0%4.5%3.861
Roberts Denisa A Olteanu201490.9%9.1%0.0%0.0%0.0%0.0%3.871
Jiepu Jiang201963.7%31.8%4.5%0.0%0.0%0.0%3.551

Grade Distribution Over Time