Statistical Theory for Data Analysis - 097414
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Lecture |
Exercise |
Laboratory |
Project or Seminar |
House Work |
Weekly Hours |
2 |
1 |
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1 |
4 |
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Determination of the grade according to progress during the semester and a final examination.
Prerequisites:
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(
| | Introductio to Data Science |
094201
| |
| | |
and
| Introduction to Statistics |
094423
| ) |
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or
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(
| | Introduction to Statistics |
094423
| |
| | |
and
| Introduction to Computer Science N |
234221
| ) |
|
or
|
(
| | Introduction to Statistics |
094423
| |
| | |
and
| Introduction to Data Science and Engin. |
094700
| ) |
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. 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.
Times and places of examinations
02/2020
2020/2021 Spring Semester
examination time | day | date | Season |
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| Friday | 30.07.2021 | à |
| Tuesday | 12.10.2021 | á |
Timetable to semester 02/2020
2020/2021 Spring Semester
Room | Building | Hour | day | Lecturer | Exercise Lecture | no. | Registering Group |
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216 | ðäåì | 08:30-10:30 | Wednesday | Associate Professor Goldberg Yair | Lecture | 10 | 11 |
| | | | | Project | 11 |
153 | áìåîôéìã | 10:30-11:30 | Wednesday | Mr. Madmon Oron | Exercise | 11 |
|
216 | ðäåì | 08:30-10:30 | Wednesday | Associate Professor Goldberg Yair | Lecture | 10 | 12 |
| | | | | Project | 12 |
214 | ðäåì | 14:30-15:30 | Monday | Mr. Madmon Oron | Exercise | 12 |
TextbooksPublished | Publisher | Authors | Book |
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2004 | springer | larry wasserman | all of statistics a concise course in statistical inference |
2002 | wiley | roderick j.a. little, donald b. rubin | statistical analysis with missing data |
Created in 22/04/2021 Time 00:07:54