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Python بُنى بيانات

ستقدم هذه الدورة التدريبية بُنى البيانات الأساسية للغة برمجة Python. وسوف نتجاوز أساسيات البرمجة الإجرائية ونستكشف الكيفية التي يمكننا من خلالها استخدام بُنى بيانات Python المضمَّنة، مثل القوائم والقواميس والمجموعات لإجراء تحليل معقد بشكل متزايد للبيانات. ستغطي هذه الدورة التدريبية الفصول من 6 إلى 10 من كتاب «Python للجميع» النصي. وستغطي هذه الدورة التدريبية Python 3.

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What's inside

Syllabus

الفصل السادس: السلاسل

في هذا الفصل الدراسي، سنتابع من حيث توقفنا في الفصل الدراسي السابق، بدءًا من الفصل 6 من الكتاب النصي لنغطي السلاسل النصية وننتقل إلى بُنى البيانات. ويُخصص الأسبوع الثاني من هذا الفصل الدراسي لتثبيت Python، إذا كنتم تريدون بالفعل تشغيل التطبيقات على كمبيوتر سطح مكتب أو جهاز الكمبيوتر المحمول الخاص بكم. إذا اخترتم تثبيت Python، فيمكنكم تخطي الأسبوع الثالث والتقدم في الدورة.

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Geared towards learners already familiar with Python programming

Covers Python 3, which is current and widely used

Provides a solid foundation in Python data structures, building on learners' existing Python knowledge

Includes interactive materials and a course playground for hands-on practice

Part of a larger 'Python for Everybody' specialization, offering a comprehensive study of Python

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Reviews summary

أساسيات بُنى بيانات بايثون واضحة وعملية

يقول المتعلمون إن هذه الدورة توفر أساسًا متينًا وواضحًا في بُنى بيانات Python، وهي مناسبة بشكل خاص للمبتدئين أو أولئك الذين يسعون لمراجعة مفاهيم البرمجة الأساسية. يبرز أسلوب الشرح الممتاز للمدرب، الذي يتميز بالوضوح الشديد والقدرة على تبسيط المفاهيم المعقدة، مما يجعل الرحلة التعليمية ممتعة. وقد أُثني على التنظيم الرائع للمحتوى، حيث تُبنى الفصول بسلاسة. ومع ذلك، يشير بعض المتعلمين إلى أن التمارين قد تكون بسيطة جدًا في بعض الأحيان، مع رغبة في المزيد من التحدي أو المشاريع التطبيقية الأكبر لترسيخ الفهم بشكل أعمق. كما يلاحظ البعض تفاوتًا في سرعة الدورة، حيث تبدأ ببطء ثم تتسارع في الفصول اللاحقة.

الدورة تناسب المبتدئين تماماً لكن قد تكون بطيئة لمن لديهم خلفية سابقة.

"الدورة جيدة للمبتدئين تمامًا، لكن لمن لديهم خلفية بسيطة في البرمجة، قد تكون بطيئة في البداية."

"شعرت أن السرعة تزداد فجأة في الفصول الأخيرة، مما يتطلب مجهودًا إضافيًا للمتابعة."

"المادة العلمية جيدة ولكن مستوى الصعوبة غير متجانس، بعض الأجزاء سهلة جداً والبعض الآخر يحتاج إلى تركيز مضاعف."

الدورة توفر أساسًا قويًا ومنظمًا لبنى البيانات في بايثون.

"المحتوى قوي جدًا ويغطي أساسيات بُنى البيانات بوضوح."

"تنظيم رائع للمحتوى، وكل فصل يبني على ما قبله بسلاسة وهذا ساعدني كثيراً."

"المنهج واضح ومنظم. القوائم والقواميس تم شرحها بطريقة مبسطة جدًا ومفيدة."

"دورة تأسيسية ممتازة لمن لا يعرف شيئًا عن بُنى البيانات، لقد وضعتني على الطريق الصحيح."

المدرب يقدم المفاهيم المعقدة بأسلوب مبسط وممتع ويسهل فهمها.

"شرح الدكتور تشارلز ممتع للغاية وواضح، خاصة في القوائم والقواميس."

"الأستاذ ممتاز في تبسيط المفاهيم المعقدة."

"الأسلوب التعليمي للأستاذ رائع ويجعل الأمور سهلة. لقد استفدت جداً من طريقة الشرح."

"الأستاذ Dr. Chuck مبدع في توصيل المعلومة. لقد فتحت لي آفاقًا جديدة في تحليل البيانات."

التمارين المقدمة قد لا تكون كافية لتحدي الفهم العميق لبعض المتعلمين.

"أحياناً كنت أتمنى وجود المزيد من التحديات في التمارين، خاصة بعد فهم الأساسيات."

"التمارين كانت بسيطة جداً ولا تتحدى الفهم الكافي. أحتاج إلى مصادر إضافية لأفهم الموضوع بشكل أفضل."

"أتمنى لو كانت هناك مشاريع تطبيقية أكبر بدل التمارين الصغيرة المقدمة في الدورة."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python بُنى بيانات with these activities:

استعادة مهارة كتابة الكود في Python

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سيساعدك ذلك على استعادة مهاراتك في كتابة الكود بـ Python والتي ستحتاجها طوال فترة الدورة التدريبية.

Browse courses on Python

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قم بزيارة موقع Python الرسمي وقراءة وثائق حول أساسيات لغة البرمجة.
حل المشكلات البسيطة كتمرين مثل العثور على الحد الأدنى أو الأقصى لقائمة الأرقام.

قراءة كتاب Python Crash Course، الإصدار الثاني بقلم إريك ماتيس

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سيساعدك مراجعة هذا الكتاب على تحديث معرفتك بأساسيات بايثون، وتوطيد مفاهيم السلاسل والملفات والقوائم والقواميس والمجموعات في بايثون.

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شراء الكتاب أو استعارته من المكتبة أو تنزيله
تخصيص من 60 إلى 90 دقيقة يوميًا لقراءة الكتاب
قراءة الفصلين 6 و 7 وتدوين الملاحظات حول المفاهيم الرئيسية

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Career center

Learners who complete Python بُنى بيانات will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. This course provides a strong foundation in Python, which is a popular programming language for data science. The course covers topics such as data structures, algorithms, and machine learning, which are all essential skills for Data Scientists. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course provides a solid foundation in Python, which is a popular programming language for data analysis. The course covers topics such as data structures, algorithms, and data visualization, which are all essential skills for Data Analysts. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, building, and deploying machine learning models. This course provides a solid foundation in Python, which is a popular programming language for machine learning. The course covers topics such as data structures, algorithms, and machine learning, which are all essential skills for Machine Learning Engineers. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis and machine learning. This course provides a solid foundation in Python, which is a popular programming language for data engineering. The course covers topics such as data structures, algorithms, and cloud computing, which are all essential skills for Data Engineers. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a solid foundation in Python, which is a popular programming language for software development. The course covers topics such as data structures, algorithms, and object-oriented programming, which are all essential skills for Software Engineers. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Software Engineer

Data Visualization Specialist

Data Visualization Specialists use visual representations to communicate data and insights. This course provides a solid foundation in Python, which is a popular programming language for data visualization. The course covers topics such as data structures, algorithms, and data visualization, which are all essential skills for Data Visualization Specialists. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Data Visualization Specialist

Web Developer

Web Developers design, develop, and maintain websites. This course provides a solid foundation in Python, which is a popular programming language for web development. The course covers topics such as data structures, algorithms, and web programming, which are all essential skills for Web Developers. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Web Developer

Business Analyst

Business Analysts help businesses understand their data and make better decisions. This course provides a solid foundation in Python, which is a popular programming language for business analysis. The course covers topics such as data structures, algorithms, and data visualization, which are all essential skills for Business Analysts. Taking this course will help you develop the skills you need to succeed in this field.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course provides a solid foundation in Python, which is a popular programming language for operations research. The course covers topics such as data structures, algorithms, and optimization, which are all essential skills for Operations Research Analysts. Taking this course will help you develop the skills you need to succeed in this field.

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Statistician

Statisticians collect, analyze, and interpret data. This course provides a solid foundation in Python, which is a popular programming language for statistics. The course covers topics such as data structures, algorithms, and probability, which are all essential skills for Statisticians. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Statistician

Data Journalist

Data Journalists use data to tell stories and inform the public. This course provides a solid foundation in Python, which is a popular programming language for data journalism. The course covers topics such as data structures, algorithms, and data visualization, which are all essential skills for Data Journalists. Taking this course will help you develop the skills you need to succeed in this field.

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Financial Analyst

Financial Analysts help businesses make investment decisions. This course provides a solid foundation in Python, which is a popular programming language for financial analysis. The course covers topics such as data structures, algorithms, and financial modeling, which are all essential skills for Financial Analysts. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course provides a solid foundation in Python, which is a popular programming language for actuarial science. The course covers topics such as data structures, algorithms, and probability, which are all essential skills for Actuaries. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Actuary

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data. This course provides a solid foundation in Python, which is a popular programming language for quantitative analysis. The course covers topics such as data structures, algorithms, and financial modeling, which are all essential skills for Quantitative Analysts. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk Analysts help businesses identify and manage risks. This course provides a solid foundation in Python, which is a popular programming language for risk analysis. The course covers topics such as data structures, algorithms, and probability, which are all essential skills for Risk Analysts. Taking this course will help you develop the skills you need to succeed in this field.

See salaries and explore the career path for Risk Analyst

Reading list

We've selected 14 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 Python بُنى بيانات.

Python Crash Course, 3rd Edition

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Provides a comprehensive introduction to Python programming, covering basic concepts, data structures, and object-oriented programming. It is written in a clear and concise style, with plenty of examples and exercises to help you learn.

Python بُنى بيانات

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What's inside

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Reviews summary

أساسيات بُنى بيانات بايثون واضحة وعملية

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