من107.56AED/ h
Master Data Science; lessons: SQL, Python and PowerBI
As a Data Scientist, on daily bases, I make use of SQLite and T-SQL, Python, and Powerbi.
Therefore, if you need a solution for a real case issue and as training for a preparatory purpose feel free to contact me.
Powebi: Dax calculations, Data visualization, Data creating relationship, Power Query
SQL: Creating Tables, Create Views, how query using multiple conditions, familiarizing operators, and regular expressions
Python: Integrate Python with SQL, Python to use forecasting, Web scraping using HTLM, Web scraping Json
Therefore, if you need a solution for a real case issue and as training for a preparatory purpose feel free to contact me.
Powebi: Dax calculations, Data visualization, Data creating relationship, Power Query
SQL: Creating Tables, Create Views, how query using multiple conditions, familiarizing operators, and regular expressions
Python: Integrate Python with SQL, Python to use forecasting, Web scraping using HTLM, Web scraping Json
المكان
على الانترنت عبر كاميرا ويب
معلومات عامة
السن: | شباب (13-17 سنة) الكبار (18-64 سنة) الكبار (65 سنة فأكثر) |
---|---|
مستوى الطالب: | مبتدئ متوسط متقدم |
المدة: | 60 دقيقة |
الدرس يدور باللغة: | الإنجليزية, الإيطالية, التغرينية |
إطرح سؤالا
أرسل رسالة توضح احتياجاتك وسوف تتلقى ردا من Faniel قريبا.
كلما زادت التفاصيل ، كان ذلك أفضل.
على سبيل المثال "مرحبًا ، متى تكون جاهزًا لبدء الدروس؟"
على سبيل المثال "مرحبًا ، متى تكون جاهزًا لبدء الدروس؟"
الجاهزية في الأسبوع العادي
(GMT -05:00) شيكاغو
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12 | الإثنين في 12:00 | الثلاثاء في 12:00 | الأربعاء في 12:00 | الخميس في 12:00 | الجمعة في 12:00 | ألسبت في 12:00 | الأحد في 12:00 |
13 | الإثنين في 13:00 | الثلاثاء في 13:00 | الأربعاء في 13:00 | الخميس في 13:00 | الجمعة في 13:00 | ألسبت في 13:00 | الأحد في 13:00 |
14 | الإثنين في 14:00 | الثلاثاء في 14:00 | الأربعاء في 14:00 | الخميس في 14:00 | الجمعة في 14:00 | ألسبت في 14:00 | الأحد في 14:00 |
15 | الإثنين في 15:00 | الثلاثاء في 15:00 | الأربعاء في 15:00 | الخميس في 15:00 | الجمعة في 15:00 | ألسبت في 15:00 | الأحد في 15:00 |
16 | الإثنين في 16:00 | الثلاثاء في 16:00 | الأربعاء في 16:00 | الخميس في 16:00 | الجمعة في 16:00 | ألسبت في 16:00 | الأحد في 16:00 |
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من 107.56 AEDعلى الانترنت عبر كاميرا ويب
100٪ ضمان الرضا
ضمان المدرس المناسب
إذا كنت غير راض بعد الدرس الأول الخاص بك، سوف تجد لك Apprentus مدرسا آخر أو سنرد تمن الدرس الأول.
السمعة على Apprentus
- أستاذ منذ فبراير 2022
- Google متصل بـ
الجاهزية في الأسبوع العادي
(GMT -05:00) شيكاغو
الاثنين | الثلاثاء | الأربعاء | الخميس | الجمعة | السبت | الأحد | |
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0 | ألسبت في 0:00 | الأحد في 0:00 | |||||
1 | ألسبت في 1:00 | الأحد في 1:00 | |||||
2 | ألسبت في 2:00 | الأحد في 2:00 | |||||
3 | ألسبت في 3:00 | الأحد في 3:00 | |||||
4 | ألسبت في 4:00 | الأحد في 4:00 | |||||
5 | ألسبت في 5:00 | الأحد في 5:00 | |||||
6 | ألسبت في 6:00 | الأحد في 6:00 | |||||
7 | ألسبت في 7:00 | الأحد في 7:00 | |||||
8 | ألسبت في 8:00 | الأحد في 8:00 | |||||
9 | ألسبت في 9:00 | الأحد في 9:00 | |||||
10 | ألسبت في 10:00 | الأحد في 10:00 | |||||
11 | ألسبت في 11:00 | الأحد في 11:00 | |||||
12 | الإثنين في 12:00 | الثلاثاء في 12:00 | الأربعاء في 12:00 | الخميس في 12:00 | الجمعة في 12:00 | ألسبت في 12:00 | الأحد في 12:00 |
13 | الإثنين في 13:00 | الثلاثاء في 13:00 | الأربعاء في 13:00 | الخميس في 13:00 | الجمعة في 13:00 | ألسبت في 13:00 | الأحد في 13:00 |
14 | الإثنين في 14:00 | الثلاثاء في 14:00 | الأربعاء في 14:00 | الخميس في 14:00 | الجمعة في 14:00 | ألسبت في 14:00 | الأحد في 14:00 |
15 | الإثنين في 15:00 | الثلاثاء في 15:00 | الأربعاء في 15:00 | الخميس في 15:00 | الجمعة في 15:00 | ألسبت في 15:00 | الأحد في 15:00 |
16 | الإثنين في 16:00 | الثلاثاء في 16:00 | الأربعاء في 16:00 | الخميس في 16:00 | الجمعة في 16:00 | ألسبت في 16:00 | الأحد في 16:00 |
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من 107.56 AEDعلى الانترنت عبر كاميرا ويب
ضمان المدرس المناسب
إذا كنت غير راض بعد الدرس الأول الخاص بك، سوف تجد لك Apprentus مدرسا آخر أو سنرد تمن الدرس الأول.
شارك
أنت هنا
دروس خصوصية
على الانترنت عبر كاميرا ويب
فصول مماثلة
Salah Eddine
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Dans le domaine de la science des données, nous explorerons les étapes clés du processus de data science, de la collecte et le nettoyage des données à la modélisation et à la validation des résultats. Vous serez également introduit aux algorithmes d’apprentissage profond, apprenant à construire et à entraîner des modèles neuronaux pour des applications variées, allant de la reconnaissance d'image à la prévision.
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