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Assistant Professor and PhD Student - Support courses in economics, management, statistics, mathematics, and artificial intelligence
From 15.4 C$ /h
I am Zouhair Rahmouni, an assistant professor in the Department of Economics and a doctoral researcher in economics and management. I offer my academic and pedagogical experience to middle and high school students, undergraduate and master's degree students, and professionals, helping them acquire solid skills in economics and management, statistics and probability, mathematics, computer science (databases and artificial intelligence), and academic writing and editing techniques.
My approach combines theoretical rigor with practical application. I help each student understand fundamental concepts, develop an effective work methodology, and master modern tools such as R, Python, SQL, Excel, and statistical software. I have supervised practical work classes, participated in framing research memos, and assisted students in preparing for exams and discussions.
Core competencies:
Pedagogy adapted to the student's needs
Preparing for exams
Scientific editing assistance
Econometric and economic modeling
Machine learning applied to finance and management
Database design and use
My approach combines theoretical rigor with practical application. I help each student understand fundamental concepts, develop an effective work methodology, and master modern tools such as R, Python, SQL, Excel, and statistical software. I have supervised practical work classes, participated in framing research memos, and assisted students in preparing for exams and discussions.
Core competencies:
Pedagogy adapted to the student's needs
Preparing for exams
Scientific editing assistance
Econometric and economic modeling
Machine learning applied to finance and management
Database design and use
Location
At student's location :
- Around Fes, Morocco
About Me
Assistant Professor in the Department of Economics and PhD candidate in Economics and Management. I offer my academic and pedagogical experience to high school students, undergraduate and master's degree students, and professionals, helping them acquire solid skills in economics and management, statistics and probability, mathematics, computer science (databases and artificial intelligence), and academic writing and editing techniques.
My approach combines theoretical rigor with practical application. I help each student understand fundamental concepts, develop an effective work methodology, and master modern tools such as R, Python, SQL, Excel, and statistical software. I have supervised practical work classes, participated in framing research memos, and assisted students in preparing for exams and discussions.
My approach combines theoretical rigor with practical application. I help each student understand fundamental concepts, develop an effective work methodology, and master modern tools such as R, Python, SQL, Excel, and statistical software. I have supervised practical work classes, participated in framing research memos, and assisted students in preparing for exams and discussions.
Education
Bachelor of Science in Physical Sciences with a good grade.
Bachelor's degree in Economics and Management with honors.
Master's degree in Information Technology Applied to Business Management with distinction.
Currently a second year PhD student in Artificial Intelligence and Enterprise Data Security.
Bachelor's degree in Economics and Management with honors.
Master's degree in Information Technology Applied to Business Management with distinction.
Currently a second year PhD student in Artificial Intelligence and Enterprise Data Security.
Experience / Qualifications
Teaching and research experience
Assistant Professor in the Department of Economics.
Framing applied work (TD) in economics, statistics, and programming.
Contribute to joint supervision of master's theses and research.
Preparing students for exams and discussions.
Experience in data analysis, economic modeling, machine learning and its applications in finance and management.
Assistant Professor in the Department of Economics.
Framing applied work (TD) in economics, statistics, and programming.
Contribute to joint supervision of master's theses and research.
Preparing students for exams and discussions.
Experience in data analysis, economic modeling, machine learning and its applications in finance and management.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
Arabic
French
English
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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