Vertrauter Lehrer
Dieser Lehrer hat eine schnelle Reaktionszeit, was eine hohe Servicequalität für seine Schüler beweist.
Seit Mai 2023
Lehrer seit Mai 2023
Data Analysis and Statistics using (Python or R ) Language
Von 41.83 $ /Std
Welcome!
I recently completed a Data Science and Artificial Intelligence coding school following the successful completion of my master's degree from the esteemed University of Ghent in Belgium. With over 2 years of experience as a private Python tutor, I am well-equipped to assist you.
My mission is to help you with statistics and data analysis for your projects. My courses are designed to cater to a diverse range of students, including teenagers, those in higher education or pursuing doctoral studies in sciences, as well as anyone interested in understanding statistics. I offer a flexible teaching approach that can be tailored to your specific needs.
To ensure an effective learning experience, I kindly request a brief description of your objectives for the course. This will enable me to customize the content and adapt my teaching methods accordingly. Based on your requirements, my courses can cover the following topics:
- Fundamental principles of descriptive and inferential statistics.
- Various inference tests, including commonly used ones such as Chi-square, T-test, ANOVA, and linear regression, as well as more advanced techniques like multi-level analyses, structural equations, and data organization tools such as factor analysis and cluster analysis.
- Practical application using statistical software such as SPSS, R language, and Python.
- Engaging in practical exercises using provided data or your own dataset.
- Regardless of your current level of understanding, I will focus on the specific areas that meet your needs and interests. I am committed to providing clear and comprehensible explanations to ensure your effective comprehension of the concepts.
I recently completed a Data Science and Artificial Intelligence coding school following the successful completion of my master's degree from the esteemed University of Ghent in Belgium. With over 2 years of experience as a private Python tutor, I am well-equipped to assist you.
My mission is to help you with statistics and data analysis for your projects. My courses are designed to cater to a diverse range of students, including teenagers, those in higher education or pursuing doctoral studies in sciences, as well as anyone interested in understanding statistics. I offer a flexible teaching approach that can be tailored to your specific needs.
To ensure an effective learning experience, I kindly request a brief description of your objectives for the course. This will enable me to customize the content and adapt my teaching methods accordingly. Based on your requirements, my courses can cover the following topics:
- Fundamental principles of descriptive and inferential statistics.
- Various inference tests, including commonly used ones such as Chi-square, T-test, ANOVA, and linear regression, as well as more advanced techniques like multi-level analyses, structural equations, and data organization tools such as factor analysis and cluster analysis.
- Practical application using statistical software such as SPSS, R language, and Python.
- Engaging in practical exercises using provided data or your own dataset.
- Regardless of your current level of understanding, I will focus on the specific areas that meet your needs and interests. I am committed to providing clear and comprehensible explanations to ensure your effective comprehension of the concepts.
Zusätzliche Informationen
Pen and paper at hand; Laptop/Computer required; (With a tablet would be a bonus).
Ort
Beim Schüler zu Hause :
- In der Umgebung von Brüssel, Belgien
Beim Lehrer zu Hause :
- Rue Vander Elst, Brussels, Belgium
Online aus Belgien
Alter
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
60 Minuten
Unterrichtet in
Englisch
Bewertungen
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
Beim Lehrer zu Hause und Online
Beim Schüler zu Hause
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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