Course Number 0910-1005-01
Course Name Practical Statistics and Data Analysis and Visualization Tools for Environmental
Academic Unit The Raymond and Beverly Sackler Faculty of Exact Sciences -
Environmental Studies
Lecturer Dr. Eyal ZingerContact
Contact Email:
Office HoursBy appointment
Mode of Instruction Lecture and Exercise
Credit Hours 4
Semester 2022/1
Day Wed
Hours 08:00-12:00
Building Porter- Environment
Room 106
Course is taught in English
Syllabus Not Found

Short Course Description

This course will provide introduction to applied statistical analysis from basic descriptive representation of data and plots to research oriented statistical inference. The focus of this course will be on ecological, environmental and sustainability case studies that will offer hands-on experience in statistical tools and analysis of related scientific papers' methodology. Another aspect that will be covered is introduction to predictive models (machine learning and data science approaches) and their role in research in the data driven era.

Full Syllabus
Course Requirements

Final Exam

Students may be required to submit additional assignments
Full requirements as stated in full syllabus

The specific prerequisites of the course,
according to the study program, appears on the program page of the handbook

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