MESA 8417
Data Visualization and Storytelling · 1 instructor on record · 1 section
That is the class itself, averaged across everyone who taught it. Who taught it, and how each of them scored, is the board below — that is what a student picking a section is actually choosing between.
Boston College's own “intellectually challenging” question for this class only — students answer it positively about courses that stretched them, so it measures intellectual challenge and NOT grading, workload or quality. Almost every BC class scores high on it, which is why it is shown as a rank rather than a score.
Boston College reports workload for this class only as one of five bands, not as a number of hours, and it does not publish what the bands mean — so this site will not translate it into hours. Higher means more work, which is not the same as worse.
This course will introduce the principles for guiding the development of compelling stories based on data and how to use visualizations to assist in articulating key findings. Visualization and storytelling are important tasks in the lifecycle of a data science project and essential skills to communicate effectively. Data visualization allows data scientists to take complex data and present it in a way that is easy to understand, while storytelling allows them to add context to their findings and explain their importance. Students will learn various data visualization techniques for reporting purposes and the widely used software tools for implementing these visualizations. Students will also learn how to create interactive reports based on dashboards deployed on cloud servers to maximize client engagement.
| Instructor | Overall | Workload | Challenge |
|---|---|---|---|
| Nam Wook KimComputer Science Provisional | 821 record | 93rd | 17th |
There is no ranking to read here: Nam Wook Kim is the only instructor with evaluation records for MESA 8417, so the number is a record, not a position. It rests on 1 record, which is thin — read it as provisional.
Also taught by Nam Wook Kim
6 other classesOther MESA classes
All of them| Class | Instructors | Course score |
|---|---|---|
| MESA 6410Introductory Statistics | 210 records | 86 |
| MESA 6468Introductory Statistics | 310 records | 81 |
| MESA 6420Intermediate Statistics | 37 records | 83 |
| MESA 1060Classroom Assessment | 36 records | 87 |
| MESA 6460Interpretation and Evaluation of Research | 36 records | 80 |
| MESA 6830Interpretation and Evaluation of Research | 16 records | 75 |
The line
All 13 items · means across 1 recordBar length is the rank against every comparable record we hold, not the raw score: BC's questions all have a median around 4.5, so a raw-scale bar would be nearly full on every row and would tell you nothing. Every bar is one ink colour — nothing here is graded green or red. The hatched bars are not ratings at all: a higher number on either describes a different course, not a better one.
Game log
1 section · newest first| Instructor | Term | Sec | Instr | Course | Work |
|---|---|---|---|---|---|
| Nam Wook Kim | Summer 2025 | 01 | 82 | 87 | 80 |
How to read this boardInstructors are ranked on their record in this class only, never on their average across everything they teach. Scores are out of 100 — Boston College's 1–5 agreement scale, ×20, the way these numbers were printed for years. Workload is BC's own five-band figure, not a number of hours, and is shown as a rank. A dash means the question was not reported, and is never a zero.