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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: 36

Average GPA: 3.39 (rounds to B+)

Strict A Rate (No A-) : 41.87%

Average Withdrawal Rate: 1.58%

Christian Lucero202454.5%25.4%11.6%1.5%5.0%2.0%3.248
Jesse M Harden202460.7%27.8%10.3%0.6%0.6%0.0%3.453
Xin Xing202357.3%31.2%1.2%2.4%4.3%3.6%3.325
Srijan Sengupta202086.0%8.1%4.2%0.0%1.8%0.0%3.732
Christopher L North202357.1%29.0%7.2%3.0%2.0%1.7%3.377
Juncai Jiang201955.5%40.7%0.0%0.0%3.7%0.0%3.411
Sehrish Basir Nizamani202472.7%18.2%0.0%0.0%6.1%3.0%3.601
Guoliang Liu202471.3%22.4%4.8%0.0%1.4%0.0%3.602
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
Anuj Karpatne202463.6%29.5%6.8%0.0%0.0%0.0%3.551
Meimei Liu202468.7%25.1%4.1%0.0%0.0%2.1%3.651

Grade Distribution Over Time

1234GPA
Spring 2019Fall 2019Spring 2020Summer I 2020Fall 2020Spring 2021Summer I 2021Fall 2021Spring 2022Summer I 2022Fall 2022Spring 2023Summer I 2023Fall 2023Spring 2024Fall 2024Term050% W