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و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام

Omnya Khaled

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.

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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.

هذا المشروع موجه للأشخاص في مجال الأعمال وتحليل البيانات. وأيضًا الأشخاص الذين يرغبون في معرفة المزيد عن library Python و Pandas. يوفر لك الخطوات المهمة لتكون محلل بيانات. ايضا ، فإنه يزودك بمعرفة هياكل البيانات الأصلية ل Python

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What's inside

Syllabus

ملخص المشروع
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches Python programming, which is necessary for almost all data science and analysis work
Emphasizes Pandas, which is an essential data manipulation and analysis library in Python
Provides fundamental skills in data cleaning and preparation, crucial for real-world data analysis
Suitable for beginners or those with minimal Python experience, making it accessible to a wide audience
Covers essential data analysis tasks, such as data loading, cleaning, and manipulation

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Activities

Coming soon We're preparing activities for و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام . These are activities you can do either before, during, or after a course.

Career center

Learners who complete و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to uncover trends and patterns. They use their findings to make recommendations that can improve business outcomes. The Pandas library is a powerful tool for data analysis, and this course will help you learn how to use it to import, clean, and analyze data. This course can help you build a strong foundation for a career as a Data Analyst.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to build models that can predict future outcomes. They use these models to make recommendations that can help businesses make better decisions. The Pandas library is a valuable tool for data scientists, and this course will help you learn how to use it to wrangle and analyze data. This course can help you build a strong foundation for a career as a Data Scientist.
Business Analyst
Business Analysts use data to understand business problems and identify opportunities for improvement. They use their findings to make recommendations that can help businesses improve their performance. The Pandas library is a valuable tool for business analysts, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as a Business Analyst.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies. They use their findings to make recommendations that can help investors make informed decisions. The Pandas library is a valuable tool for financial analysts, and this course will help you learn how to use it to import, clean, and analyze financial data. This course can help you build a strong foundation for a career as a Financial Analyst.
Operations Research Analyst
Operations Research Analysts use data to solve complex business problems. They use their findings to make recommendations that can help businesses improve their efficiency and profitability. The Pandas library is a valuable tool for operations research analysts, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as an Operations Research Analyst.
Market Researcher
Market Researchers use data to understand the needs of customers. They use their findings to make recommendations that can help businesses develop new products and services. The Pandas library is a valuable tool for market researchers, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as a Market Researcher.
Statistician
Statisticians use data to design and conduct studies to collect data. They use their findings to make inferences about the population from which the data was collected. The Pandas library is a valuable tool for statisticians, and this course will help you learn how to use it to import, clean, and analyze data. This course can help you build a strong foundation for a career as a Statistician.
Software Engineer
Software Engineers design, develop, and maintain computer software. They use their knowledge of computer science to create software that meets the needs of users. While the Pandas library is not a core requirement for Software Engineers, this course can help build a foundation in data analysis, which is a valuable skill for many Software Engineers.
Data Engineer
Data Engineers design, build, and maintain the infrastructure that is used to store and process data. They use their knowledge of computer science to create systems that can handle large volumes of data. While the Pandas library is not a core requirement for Data Engineers, this course can help build a foundation in data analysis, which is a valuable skill for many Data Engineers.
Database Administrator
Database Administrators design, build, and maintain databases. They use their knowledge of database systems to create databases that meet the needs of users. While the Pandas library is not a core requirement for Database Administrators, this course can help build a foundation in data analysis, which is a valuable skill for many Database Administrators.
Computer Analyst
Computer Analysts analyze and solve problems that affect computer systems. They use their knowledge of computer systems to identify and resolve issues. While the Pandas library is not a core requirement for Computer Analysts, this course can help build a foundation in data analysis, which is a valuable skill for many Computer Analysts.
Web Developer
Web Developers design, develop, and maintain websites. They use their knowledge of web development technologies to create websites that meet the needs of users. While the Pandas library is not a core requirement for Web Developers, this course can help build a foundation in data analysis, which is a valuable skill for many Web Developers.
Systems Analyst
Systems Analysts analyze and solve problems that affect computer systems. They use their knowledge of computer systems to identify and resolve issues. While the Pandas library is not a core requirement for Systems Analysts, this course can help build a foundation in data analysis, which is a valuable skill for many Systems Analysts.
Computer Programmer
Computer Programmers design, develop, and maintain computer programs. They use their knowledge of programming languages to create programs that meet the needs of users. While the Pandas library is not a core requirement for Computer Programmers, this course can help build a foundation in data analysis, which is a valuable skill for many Computer Programmers.
Computer and Information Systems Manager
Computer and Information Systems Managers oversee the planning, implementation, and maintenance of computer systems. They use their knowledge of computer systems to ensure that systems are operating efficiently and effectively. While the Pandas library is not a core requirement for Computer and Information Systems Managers, this course can help build a foundation in data analysis, which is a valuable skill for many Computer and Information Systems Managers.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام .
Provides a comprehensive introduction to data analysis with Python, covering topics such as data loading, cleaning, manipulation, and visualization. It valuable resource for readers who want to learn more about data analysis and how to use Python effectively.
Provides a comprehensive guide to data science with Python, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about data science and how to use Python effectively.
Provides a comprehensive guide to data science from scratch, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about data science and how to use Python effectively.
Provides a comprehensive guide to machine learning with Python, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about machine learning and how to use Python effectively.
Provides a comprehensive guide to deep learning, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about deep learning and how to use Python effectively.
Provides a comprehensive guide to functional programming in Python, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about functional programming and how to use Python effectively.
Provides a comprehensive guide to effective Python programming, covering topics such as data analysis, machine learning, and deep learning. It valuable resource for readers who want to learn more about effective Python programming and how to use Python effectively.

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