COM SCI 245
Big Data Analytics
Grades
3.68
Average grade awarded in COM SCI 245. Not a student rating: this is what the grades were.
In the A range
76%
of the 502 letter grades
D, F or W
0.8%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
-
the registrar has this letter grade only this term
The registrar's own records: 502 grades over 6 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
1 of those terms is a summer session, and summer sessions are counted here.
The table below splits them, and term averages across those 6 terms ran 3.60 to 3.83.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 96 · 19.1%
- A 173 · 34.5%
- A- 113 · 22.5%
- B+ 66 · 13.1%
- B 29 · 5.8%
- B- 11 · 2.2%
- C+ 6 · 1.2%
- C- 4 · 0.8%
- F 4 · 0.8%
Percentages are of the 502 letter grades. Grey bars are non-letter outcomes.
How the non-letter outcomes are counted
They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Summer Session A 2026 |
|---|---|---|---|---|---|---|---|
| WANG, WEI reviews ↗ | 3.68 | 3.68 | 502 | 6 | 76% | - | not teaching it |
Why Predicted is not the Raw average
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so an instructor with a handful of students sits near the course mean rather than topping the list.
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
What comes first
The chain dibs can see is 5 courses long before COM SCI 245. Read from Fall 2026, because dibs has not read a class page for COM SCI 245 in Summer Session A 2026 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for COM SCI 143, so the real chain can only be longer than this, never shorter.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: course 143 or 180 or equivalent. With unprecedented rate at which data is being collected today in almost all fields of human endeavor, there is emerging economic and scientific need to extract useful information from it. Data analytics is process of automatic discovery of patterns, changes, associations, and anomalies in massive databases, and is highly inter-disciplinary field representing confluence of several disciplines, including database systems, data warehousing, data mining, machine learning, statistics, algorithms, data visualization, and cloud computing. Survey of main topics in big data analytics and latest advances, as well as wide spectrum of applications such as bioinformatics, E-commerce, environmental study, financial market study, multimedia data processing, network monitoring, social media analysis. Letter grading.
Sections in Summer Session A 2026
From the people who took it
Student reviews
What taking COM SCI 245 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.
Looking for more perspectives?
External reviews are separate and do not count toward the dibs rating.