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1/3
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Seit Januar 2023
Lehrer seit Januar 2023
Python and Data Science. Learn Python and Data Science.
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Von 31.19 $ /Std
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Python is a powerful programming langues that have its use in many fields. With Python you can work as a software developer or a data scientist and sometimes both.

My class offers you lessons on Python and/or Data Science to help you build a career in tech either as a software developer or a Data Scientist. Most importantly, we try to have fun while learning.
Zusätzliche Informationen
Be very curious and open minded.
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Beim Schüler zu Hause :
  • In der Umgebung von Noisy-le-Grand, Frankreich
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Beim Lehrer zu Hause :
  • 92500 Rueil-Malmaison, France
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Online aus Frankreich
Über mich
I am an Engineering graduate with experience in software development, Data Science, building of visualization applications.

I love to combine fun with teaching. I teach with simple terms which makes it easy for students to understand and enjoy my classes. I prefer quality over quantity and derives joy in teaching Python and Data Science and making my students succeed in their future endeavors.

I prefer to have classes online and meet when necessary. But I am open to on-site learning.
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MSc in Reservoir Geoscience and Engineering - Top 10% of my class.
Published research on machine learning applications and won the best paper in Europe. Python and Data Science self taught.
Erfahrung / Qualifikationen
Python programming software developer
Data Analyst and Scientist in using Python and python libraries to build visyalization and web applications
Front end developer using HTML,CSS, Vuejs and Javascript to build web applications.
Alter
Vorschulkinder (4-6 Jahre alt)
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
30 Minuten
45 Minuten
60 Minuten
90 Minuten
120 Minuten
Unterrichtet in
Englisch
Fachkenntnisse
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
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Beim Lehrer zu Hause und Online
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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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