Miles Satori Chen
Department of Statistics
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1.0
Overall Rating
Based on 1 User
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 1.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 1.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Is Podcasted
  • Appropriately Priced Materials
  • Often Funny
  • Gives Extra Credit
  • Has Group Projects
GRADE DISTRIBUTIONS
58.3%
48.6%
38.9%
29.2%
19.4%
9.7%
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.

63.6%
53.0%
42.4%
31.8%
21.2%
10.6%
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.

58.6%
48.8%
39.0%
29.3%
19.5%
9.8%
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
Clear marks

Sorry, no enrollment data is available.

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Reviews (1)

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Quarter: Fall 2019
Grade: P
Dec. 24, 2019

Much of the learning is done through Data Camp, plus some in-class presentations in Jupyter notebook by Prof Chen. Lectures are recorded and posted on YouTube, so attendance is not necessary (Almost no one attended the last 2 lectures before Thanksgiving). Felt like only learned mostly from Data Camp exercises for data analysis, only the last few lectures were brand new material outside Data Camp. Not the best class to fully master Python as modeling and ML techniques were only simply or briefly discussed

Helpful?

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Quarter: Fall 2019
Grade: P
Dec. 24, 2019

Much of the learning is done through Data Camp, plus some in-class presentations in Jupyter notebook by Prof Chen. Lectures are recorded and posted on YouTube, so attendance is not necessary (Almost no one attended the last 2 lectures before Thanksgiving). Felt like only learned mostly from Data Camp exercises for data analysis, only the last few lectures were brand new material outside Data Camp. Not the best class to fully master Python as modeling and ML techniques were only simply or briefly discussed

Helpful?

0 0 Please log in to provide feedback.
1 of 1
1.0
Overall Rating
Based on 1 User
Easiness 3.0 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Clarity 1.0 / 5 How clear the class is, 1 being extremely unclear and 5 being very clear.
Workload 2.0 / 5 How much workload the class is, 1 being extremely heavy and 5 being extremely light.
Helpfulness 1.0 / 5 How helpful the class is, 1 being not helpful at all and 5 being extremely helpful.

TOP TAGS

  • Is Podcasted
    (1)
  • Appropriately Priced Materials
    (1)
  • Often Funny
    (1)
  • Gives Extra Credit
    (1)
  • Has Group Projects
    (1)
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