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Vertrauter Lehrer
Dieser Lehrer hat eine schnelle Reaktionszeit, was eine hohe Servicequalität für seine Schüler beweist.
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Seit September 2020
Lehrer seit September 2020
Data Classification
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Von 29.13 Fr /Std
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Data Classification techniques of the Statistical and Mathematica domain are very important for the students to classify the data and provide a smarter analysis to reach a wiser decision. These techniques have a lot of applications in every walk of life, as life itself is the name of continuous decision making. And the accuracy of your decision making depends very much upon the information base you have and its smarter management.
So it is important to comprehend these approaches.
Zusätzliche Informationen
You will need a notebook and pen pencil with a laptop to note down the concepts
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Beim Lehrer zu Hause :
  • Taoyuan, Taoyuan District, Taoyuan City, Taiwan
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Online aus Taiwan
Über mich
A Ph.D. research scholar in Applied Mathematics and Statistics is here to help the students in developing their basic Mathematical Skills and its Application in daily life problems. I have more than 8 years of experience in teaching Mathematics and Statistics at various academic institutions ranging from junior high school up to University level undergraduate programs. I believe in the holistic development of the student(s) and nurturing their potentials to enable them to deal with challenges of life and inspire to lead others to contribute to society and humanity.
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PhD in Statistics and applied Mathematics ( Course Work has been completed with a CGPA of 3.9 in the Year 2020 from Chung Yuan Christian University , Zhongly Taiwan .
Erfahrung / Qualifikationen
More than 12 years in overall including academic and non academic services. while 8 years of experince in teaching Statistics and Mathematics...
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
60 Minuten
90 Minuten
120 Minuten
Unterrichtet in
Englisch
Fachkenntnisse
Verfügbarkeit einer typischen Woche
(GMT -04:00)
New York
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Beim Lehrer zu Hause und Online
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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