Basic Information
The Course Will Cover a Variety of Statistical Theory Topics Combined With Data Analysis. The Course Topics Include Multivariate Regression, Generalized Regression, Non-parametric Statistics And Re-sampling Methods, Decision Theory, Bayesian Statistics And And Methods of Handling Missing Data. Learning Outcomes# At The End of The Course, The Students Will Be# 1. Able to Use Different Regression Methods 2. to Perform Statistical Inference On Datasets of Various Types Including Handling Missing Data.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
(94201 - Introductio to Data Science and 94423 - Introduction to Statistics) or (94423 - Introduction to Statistics and 234221 - Introduction to Computer Science N) or (94423 - Introduction to Statistics and 94700 - Introduction to Data Science and Engin.) or (94424 - Statistics 1 and 94700 - Introduction to Data Science and Engin.) or (94424 - Statistics 1 and 234221 - Introduction to Computer Science N)
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Responsible(s)
Yair Goldberg
Exams
Session A: 05-05-2024 13:00 - 16:00- אולמן 500. 501. 503. 504. 605.
- נהול 215. 216.
- בלומפילד 153. 526.
Registration Groups
|
|
|
|
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Responsible(s)
Yair Goldberg
Exams
Session A: 16-10-2023 09:00 - 12:00Registration Groups
|
|
|
|
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Project Hours
Notes
-
נפתח עי מדור מעקב
Registration Groups
|
|