فى نهاية هذا المشروع ، ستكون قادرًا على تحميل البيانات من ملفات CSV ، وتحديد شكل ال data frame ، وتطبيق بعض العمليات للتحقق من صحة البيانات ، ومعالجة البيانات وتصفيتها. ايضا ، ستتمكن من إعادة تسمية وحذف الأعمدة وتنظيف البيانات لتطبيق بعض الوظائف ، وأخيراً تصديرها إلى ملفات CSV باستخدام Pandas library وهي library مفتوحة المصدر توفر العديد من الأدوات لتحليل البيانات. يوجد بها العديد من هياكل البيانات التي يمكن استخدامها للعديد من مهام معالجة البيانات المختلفة. كما أن لديها مجموعة متنوعة من الأساليب التي يمكن استخدامها لتحليل البيانات ، والتي تكون مفيدة عند العمل على علوم البيانات و مشاكل الmachine learning في python.
و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام
و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام
Instructor: Omnya Khaled
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Guided Project
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What you'll learn
تحميل البيانات من ملفات CSV ، وحدد شكل Data Frame ، وتطبيق بعض العمليات للتحقق من صحة مجموعة البيانات
معالجة مجموعة البيانات وتصفيتها وإعادة تسمية الأعمدة وحذفها وتنظيف البيانات لتطبيق بعض الوظائف المجمعة عليها وإخراجها إلى ملف CSV.
Skills you'll practice
- Category: Data Science
- Category: Data Analysis
- Category: Python Programming
- Category: Pandas
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Guided Project
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
Recommended experience
2 hours (approximately)
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
Learn, practice, and apply job-ready skills in less than 2 hours
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ستكون قادرًا على تحميل البيانات من ملفات csv وتحديد شكل ال data frame.
ستكون قادرًا على تطبيق بعض العمليات للتحقق من صحة البيانات
ستتمكن من معالجة مجموعة البيانات وتصفيتها.
ستتمكن من إعادة تسمية الأعمدة وحذفها وتنظيف البيانات لتطبيق بعض الوظائف المجمعة عليها وإخراجها إلى ملف csv.
Recommended experience
معرفة بسيطة بأساسيات python
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