Course Identification

Title:

Data Science with Python for Beginners

Code:

20233082

Lecturers and Teaching Assistants

Lecturers:

Dr. Ido Azuri

TA's:

N/A

Course Schedule and Location

Year:

2023

Semester:

Second Semester

When / Where:

Monday, 11:15 - 13:00, Ebner Auditorium

First Lecture:

29/05/2023

End date:

03/07/2023

Field of Study, Course Type and Credit Points

Life Sciences: Lecture; Elective; Regular; 1.00 points
Chemical Sciences: Mini course; Elective; Regular; 1.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Mini course; Elective; Regular; 1.00 points

Comments

Mini course- 6 meetings
* Priority will be given to students under the Life Sciences field of studies
* Due to the high demand, this year the course is opened only for Feinberg Graduate School students

Prerequisites

No

Restrictions

Participants:

100

Language of Instruction

English

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 basic 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 basic skills in programming in Python. Emphasize will put on data science.

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

Reading List

N/A

Website

N/A