Course Identification

Title:

Data Science with Python for Beginners

Code:

20213072

Lecturers and Teaching Assistants

Lecturers:

Dr. Ido Azuri

TA's:

N/A

Course Schedule and Location

Year:

2021

Semester:

Second Semester

When / Where:

Monday, 11:15 - 13:00

First Lecture:

24/05/2021

End date:

28/06/2021

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

All courses in the second semester will be held via zoom.
Mini course- 6 meetings, starting May 24th.
* Priority will be given to students under the Life Sciences field of studies

Prerequisites

No

Restrictions

Participants:

65

Language of Instruction

English

Registration by

Registration By:12/01/2021

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Pass / Fail

Grade Breakdown (in %)

Assignments:

100%

Evaluation Type

No final exam or assignment

Scheduled date 1

Date / due date

N/A

Location

N/A

Time

-

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

Weeks 1-5

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

- NumPy

- Pandas

- Matplotlib

- SciPy

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

Week 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