Nathan Langholz
Department of Statistics
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5.0
Overall Rating
Based on 1 User
Easiness 5.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 5.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
  • Would Take Again
GRADE DISTRIBUTIONS
77.8%
64.8%
51.9%
38.9%
25.9%
13.0%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

ENROLLMENT DISTRIBUTIONS
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Reviews (1)

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Quarter: Spring 2025
Grade: A
Verified Reviewer This user is a verified UCLA student/alum.
July 30, 2025

Nate is a great instructor who has extensive industry experience in Data Science field. He also bring a few friends/ex-colleagues from previous work or UCLA Department of Statistics alumni. His class note and slides are very clear and useful. The entire coursework/projects are hands on experience what he have learn from his 10+ years of industry not heavily focus on R and theoretical but I would easy this is more practical learning experience.
The class projects could be rigor depending on the subject of your choice. The requirement is simply implement a web API service using LLM. (i.e. OpenAI API, Huggingface, or Langchain) I highly recommend whomever in the field or who wants to be in DS.

Helpful?

0 0 Please log in to provide feedback.
Verified Reviewer This user is a verified UCLA student/alum.
Quarter: Spring 2025
Grade: A
July 30, 2025

Nate is a great instructor who has extensive industry experience in Data Science field. He also bring a few friends/ex-colleagues from previous work or UCLA Department of Statistics alumni. His class note and slides are very clear and useful. The entire coursework/projects are hands on experience what he have learn from his 10+ years of industry not heavily focus on R and theoretical but I would easy this is more practical learning experience.
The class projects could be rigor depending on the subject of your choice. The requirement is simply implement a web API service using LLM. (i.e. OpenAI API, Huggingface, or Langchain) I highly recommend whomever in the field or who wants to be in DS.

Helpful?

0 0 Please log in to provide feedback.
1 of 1
5.0
Overall Rating
Based on 1 User
Easiness 5.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 5.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 5.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 5.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Uses Slides
    (1)
  • Would Take Again
    (1)
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