Course Identification

Data Science with Python for Beginners
20203402

Lecturers and Teaching Assistants

Dr. Ido Azuri
N/A

Course Schedule and Location

2020
Second Semester
Monday, 11:15 - 13:00, WSoS, Rm B

Tutorials
Thursday, 11:15 - 13:00, WSoS, Rm B
11/05/2020

Field of Study, Course Type and Credit Points

Life Sciences: Lecture; Elective; Regular; 1.00 points
Chemical Sciences: Lecture; Elective; Regular; 1.00 points
Chemical Sciences (Materials Science Track): Lecture; Elective; Regular; 1.00 points
Life Sciences (Molecular and Cellular Neuroscience Track): Lecture; Elective; Regular; 1.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Lecture; Elective; Regular; 1.00 points
Life Sciences (Computational and Systems Biology Track): Lecture; Elective; Regular; 1.00 points

Comments

Will be taught via Zoom starting May 11.
Mini course- 6 meetings.
No lectures on June 22nd and 25th.

Prerequisites

No

Restrictions

35

Language of Instruction

English

Registration by

11/03/2020

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Pass / Fail

Grade Breakdown (in %)

100%

Evaluation Type

No final exam or assignment

Scheduled date 1

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

Weeks 1-4

Learning basics packages and programming skills in python with emphasize on data science,  including:

- NumPy

- Pandas

- Matplotlib

Working with variables, tables, plotting, loops, and conditional statements

Weeks 5-6

- Scikit-learn

Learning basic principles in machine learning and solving simple problems

 

Learning Outcomes

The course in designed for students without or with a little experience in programming that want to gain basics skills in programming in Python. Emphasize will put on data science.

After completion of the course, students will gain basics programming skills in Python and some background in data science and machine learning.

Reading List

N/A

Website

N/A