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Virginia Tech

CMDA-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: CS-3654, STAT-3654

Repeatability: N/A

Sections Taught: 46

Average GPA: 3.35 (A-)

Strict A Rate (No A-) : 41.76%

Average Withdrawal Rate: 2.37%

Christian Lucero202359.1%24.5%9.0%1.5%5.0%0.9%3.3111
Sehrish Basir Nizamani202472.7%18.2%0.0%0.0%6.1%3.0%3.601
Xin Xing202357.3%31.2%1.2%2.4%4.3%3.6%3.325
Christopher L North202351.6%29.5%9.9%2.7%1.7%4.5%3.3211
Mark Y Liu202471.3%22.4%4.8%0.0%1.4%0.0%3.602
Peter Hauck201826.3%50.0%15.8%0.0%5.3%2.6%2.961
Srijan Sengupta202074.5%15.8%5.1%0.5%4.1%0.0%3.545
John E Wenskovitch202261.0%26.6%6.0%0.0%4.5%1.9%3.403
Dipanjan Mitra202069.7%30.3%0.0%0.0%0.0%0.0%3.611
Yalong Yang202237.3%34.9%9.3%4.7%14.0%0.0%2.771
Jesse M Harden202449.0%36.4%12.9%0.9%0.9%0.0%3.312
Roberts Denisa A Olteanu201462.5%25.0%0.0%0.0%0.0%12.5%3.671
Tajbakhsh Sam Davanloo201528.6%28.6%14.3%14.3%7.2%7.1%2.681
Juncai Jiang201955.5%40.7%0.0%0.0%3.7%0.0%3.411

Grade Distribution Over Time