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01:960:142
Data 101
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01:960:486 · Statistics · School 01 — New Brunswick School of Arts and Sciences
Rutgers describes 01:960:486 as an applied course using computer-based and graphical techniques to understand data, with categorical, time-series and multivariate analyses in areas such as biostatistics and quality control. The 2024–25 catalog describes it as an introduction to machine-learning methods from a statistical perspective, applied to datasets; it says the emphasis is on understanding and applying methods rather than programming them from scratch. The currently listed prerequisite is Level II Statistics.
Can I take it?
Statistics II · Statistical Inference For Data Science · Intrmd Stat Analysis
Students rate teaching
SIRS · 611 responses · 2014–2025
Spring 2027
3 open in snapshot · 3 instructors
When it meets
College Avenue, Busch
Checked-in sections · current seat counts are unavailable.
M 2:00 PM · College Avenue · 1 section · 1 open
MTh 8:30 AM · Busch · 1 section · 1 open
TF 10:20 AM · Busch · 1 section · 1 open
AI-generated overview
4 units · topic sequence may vary by instructor
Use computation and graphics to explore datasets and support interpretation. Rutgers identifies this as a central course purpose but does not publish a current unit sequence in the sources reviewed.
Practice basic analyses across several data structures and applied settings. These are topic areas, not verified weekly chapters.
The 2024–25 catalog describes an introduction to machine-learning methods from a statistical perspective and applying methods to datasets. The catalog does not provide a dated course sequence.
One student reported that this term covered about two-thirds of An Introduction to Statistical Learning and named classification and regression, discriminant analysis, K-nearest neighbors, decision trees, Monte Carlo simulation and penalized regression. The student did not identify exact chapters or class order; the Springer table of contents describes the book only.
Common pitfall
Instead
Explain what the analysis shows about the data; the department synopsis frames computation and graphics as tools for understanding and interpreting data.
Researched and independently reviewed · 9 sources · 9/12 fields found
officialSummary: found · The current Statistics Department synopsis describes computer-based and graphical analysis of categorical, time-series and multivariate data; the 2024–25 Rutgers catalog adds statistical-learning methods and application to datasets.
site:statistics.rutgers.edu/course-descriptions 01:960:486 Applied Statistical Learning · Rutgers 01:960:486 Applied Statistical Learning undergraduate catalog
atAGlance.weeklyHours: not-found · The archived Spring 2022 syllabus and student posts describe work types for particular instructor-terms but provide no defensible typical weekly outside-class hour range.
site:statistics.rutgers.edu 01:960:486 syllabus outside class workload hours · site:reddit.com/r/rutgers 01:960:486 weekly workload hours
courseRatings: not-found · All ten signals are present as null with insufficient confidence. The available comments are sparse and instructor/term-specific, and the archive syllabus is stale; these sources do not justify general course ratings.
site:reddit.com/r/rutgers 01:960:486 Applied Statistical Learning difficulty workload exams · site:reddit.com/r/rutgers "Stat 486" instructor difficulty workload · Rutgers 960:486 Applied Statistical Learning course review RMP · site:reddit.com/r/rutgers "stat 486" "statistical learning" Rutgers course syllabus 2023 2024 2025 2026 · site:reddit.com/r/rutgers "960:486" "Applied Statistical Learning" Bonvini Cabrera Moran 2024 2025 2026 · site:reddit.com/r/rutgers "statistical learning rutgers" "Applied Statistical Learning" · site:reddit.com/r/rutgers "Stat 486" workload exam syllabus Rutgers Bonvini Cabrera · site:reddit.com/r/rutgers/ "01:960:486" exam professor project workload
assessment: found · No syllabus from Fall 2023 through Spring 2026 was found in the Rutgers-hosted and instructor/course searches. The archived Spring 2022 syllabus says that term was graded through written assignments and coding/data-analysis projects, but gives no component weights; it is outside the three-year retry window and does not establish current assessments, common exams or a curve.
site:stat.rutgers.edu/images 01_960_486_01.pdf syllabus assessment grading · site:statistics.rutgers.edu 01:960:486 syllabus exams projects Spring 2026 · site:stat.rutgers.edu/images 01:960:486 syllabus 2023 OR 2024 OR 2025 OR 2026 · site:statistics.rutgers.edu 01:960:486 syllabus Bonvini Fall 2023 OR Spring 2024 OR Fall 2024 OR Spring 2025 OR Fall 2025 OR Spring 2026 · site:statistics.rutgers.edu 01:960:486 syllabus Cabrera Fall 2023 OR Spring 2024 OR Fall 2024 OR Spring 2025 OR Fall 2025 OR Spring 2026 · Rutgers 01:960:486 Applied Statistical Learning syllabus Bonvini Spring 2026 · Rutgers 01:960:486 Applied Statistical Learning syllabus Cabrera 2025 2026
fit.bestFor: found · Fit is cautiously synthesized from official descriptions of statistical-learning methods and applied analysis of datasets.
Rutgers 01:960:486 Applied Statistical Learning topics data applications · Rutgers 01:960:486 Applied Statistical Learning catalog high level language R
fit.toughIf: found · Preparation cautions draw on the official Level II Statistics prerequisite and limited student reports of term-specific mathematical and exam demands; they do not predict the current instructors’ style.
Rutgers 01:960:486 prerequisites Level II Statistics · site:reddit.com/r/rutgers 01:960:486 difficulty statistics exams
prerequisitesInPractice: found · The department synopsis lists Level II Statistics; the Rutgers 2024–25 catalog specifies that the requirement may be fulfilled by 01:960:212, 291, 384, 401, 484 or an equivalent. No evidence was found to establish extra informal prerequisites.
Rutgers 01:960:486 Level II Statistics prerequisite 212 291 384 401 484 · Rutgers undergraduate catalog Level II Statistics prerequisite may be fulfilled 960:486
instructorVariation: not-found · The retry found no course-specific personal Rutgers site or syllabus for Bonvini/Cabrera in Fall 2023–Spring 2026. A 2026 journal interview confirms Bonvini taught this course in Spring 2026 but gives no section-format comparison. Reddit has one uncorroborated comment about an unspecified prior Bonvini term and older Zhao/LuValle/Xu accounts; no recent Cabrera-specific experience or reliable paired comparison was found.
site:matteobonvini.com "Applied Statistical Learning" OR "01:960:486" Fall 2023 OR Spring 2024 OR Fall 2024 OR Spring 2025 OR Fall 2025 OR Spring 2026 · site:sites.math.rutgers.edu/~ "Matteo Bonvini" "960:486" 2023 OR 2024 OR 2025 OR 2026 · site:stat.rutgers.edu "Matteo Bonvini" "960:486" 2023 OR 2024 OR 2025 OR 2026 · site:statistics.rutgers.edu "Javier Cabrera" "960:486" syllabus 2023 OR 2024 OR 2025 OR 2026 · site:reddit.com/r/rutgers "Matteo Bonvini" "Javier Cabrera" Applied Statistical Learning · site:reddit.com/r/rutgers "01:960:486" Zhao LuValle exams comparison · Rutgers 01:960:486 Fall 2026 syllabus Bonvini Cabrera · "Matteo Bonvini" "Applied Statistical Learning" "Fall 2025" OR "Spring 2026" · "Javier Cabrera" "Applied Statistical Learning" "Fall 2025" OR "Spring 2026"
chapters: found · Official descriptions support broad concept groupings, not an ordered or week-by-week syllabus. A Spring 2024 student says the Zhao section covered about two-thirds of An Introduction to Statistical Learning and names example methods, but not the covered chapter range or course order. The publisher table of contents supplies only the book’s own structure, not a Rutgers syllabus.
Rutgers 01:960:486 course description categorical time-series multivariate data · Rutgers 2024–25 catalog 01:960:486 statistical learning topics · site:reddit.com/r/rutgers "Stat 486" "Introduction to Statistical Learning" Spring 2024 Zhao · An Introduction to Statistical Learning R second edition Springer table of contents
commonPitfalls: found · The current synopsis emphasizes understanding and interpreting data with graphical and computer-based techniques; the archived Spring 2022 syllabus also emphasizes interpretation. The guidance is framed as a general preparation caution, not a documented recurring student error.
Rutgers 01:960:486 course synopsis understand interpret data graphics · Rutgers 01:960:486 archived syllabus interpret statistical results R
prepPlan: found · The plan uses the official prerequisite and course topics plus an author-maintained free statistical-learning resource. It does not assume which language or textbook the current instructors require.
Rutgers 01:960:486 prerequisite Level II Statistics official · Rutgers 01:960:486 statistical learning methods R catalog · An Introduction to Statistical Learning official free book site R
studentPerspective: found · The exact-variant retry found one recent uncorroborated Bonvini comment, no-answer comparison questions about Bonvini/Cabrera, and older student reports for Zhao and LuValle. Evidence remains anecdotal, does not establish consensus, and does not describe the Fall 2026 sections.
site:reddit.com/r/rutgers "01:960:486" exams professor workload · site:reddit.com/r/rutgers "Applied Statistical Learning" 960:486 experience · site:reddit.com/r/rutgers "Stat 486" "Zhao" exams · site:reddit.com/r/rutgers/ "statistical learning rutgers" OR "stat 486" OR "960:486" · site:reddit.com/r/rutgers "Matteo Bonvini" "Javier Cabrera" Applied Statistical Learning · site:reddit.com/r/rutgers "stat 486" "statistical learning" Rutgers course syllabus 2023 2024 2025 2026 · site:reddit.com/r/rutgers "960:486" "Applied Statistical Learning" Bonvini Cabrera Moran 2024 2025 2026 · site:reddit.com/r/rutgers "statistical learning rutgers" "Applied Statistical Learning" · site:reddit.com/r/rutgers "Stat 486" workload exam syllabus Rutgers Bonvini Cabrera · site:reddit.com/r/rutgers/ "01:960:486" exam professor project workload
3 open · College Avenue, Busch
| Section | Status | Instructor | Meeting | Campus |
|---|---|---|---|---|
| 0116884 | Open | Gemma Moran | Monday 2:00 PM-5:00 PM at ABW 2125ABW 2125 | College Avenue |
| 0216885 | Open | Zhanyun Zhao | Monday 8:30 AM-9:50 AM at EN B120; Thursday 8:30 AM-9:50 AM at EN B120EN B120 | Busch |
| 0316886 | Open | Ravi Ramaswamy | Tuesday 10:20 AM-11:40 AM at EN B120; Friday 10:20 AM-11:40 AM at EN B120EN B120 | Busch |
Historical student surveys
Teaching
4.04
Course quality
3.97
Response rate
41.9%
Coverage
22 offerings · 2014–2025
| Instructor | Offerings | Teaching | Quality |
|---|---|---|---|
| Michael Luvalle | 7 | 4.00 | 3.96 |
| Jack Mardekian | 3 | 4.13 | 4.10 |
| Mardekian Jack | 2 | 4.05 | 4.10 |
| Luvalle Michael | 2 | 4.05 | 3.95 |
| Guanyang Wang | 2 | 4.10 | 3.90 |
| Min Xu | 1 | 5.00 | 5.00 |
Catalog and planning context
Credits
3
Current campuses
College Avenue, Busch
Current availability
3 open of 3
Catalog terms
Fall, Spring
Core codes
None listed
Loaded terms
5
(01:960:212)<em> OR </em>(01:960:291)<em> OR </em>(01:960:384)<em> OR </em>(01:960:401)<em> OR </em>(01:960:484)
No direct degree-list membership appears in the checked-in requirement index.