تمثيل البيانات رسومياً باستخدام بايثون

What's inside

Syllabus

ملخص المشروع

في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة ونصف تقريباً، ستتعلم كيفية تمثيل البيانات رسوميا باستخدام بايثون و ستتعرف على مكتبات تحليل البيانات وتمثيل البيانات في بايثون. ستتعرف على طرق عديدة لتمثيل البيانات في بايثون وعلى أشكال الرسوم البيانية المختلفة مثل القطاع الدائري، الأعمدة البيانية، والرسم الخطي البياني وغيرها.كما ستتعرف على كيفية تمثيل عدة بيانات في رسم بياني واحد وكيفية تمثيل عدة بيانات أيضاً ولكن في رسوم بيانية متعددة في نفس الوقت. ستتعلم خلال هذا المشروع - بالإضافة إلى كيفية إنشاء الرسوم البيانية - كيفية تعديلها وتغيير حجمها وإضافة الألوان لها. هذه الدورة تصلح للمبتدئين تماما في التعامل مع بايثون للتحليل البياني ولكن إذا كان لديك خبرة سابقة في تحليل البيانات باستخدام مكتبة باندا فسيكون ذلك أفضل بالتأكيد، وبكل الأحوال لا تقلق فسيتم شرح كل خطوة خلال المشروع بالتفصيل.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches learners how to represent data using Python, which is a valuable and in-demand skill for data analysts

Introduces various types of data representations such as pie charts, bar charts, and line graphs, which provides learners with a comprehensive understanding of data visualization

Builds a strong foundation in the basics of data visualization using Python, which helps learners develop a solid understanding of the principles and techniques involved

Reviews summary

Data visualization with python

Data Visualization with Python is well received by students who say that it is great. Students have also said that the course is useful.

The course is useful.

"a useful course"

Students say this course is good.

"ممتاز 🤩 "

"it is great"

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 تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization with these activities:

المشاركة في مجموعات الدراسة أو جلسات التدريب الجماعي

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ستساعدك المشاركة في مجموعات الدراسة أو جلسات التدريب الجماعي على تبادل الأفكار مع زملائك واختبار فهمك للمفاهيم.

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انضم إلى مجموعة دراسة أو ابحث عن شريك دراسة.
ناقش المفاهيم التي تمت تغطيتها في الدورة مع زملائك.
تعاون على المشاريع أو المهام معًا.

تجميع وتنظيم الملاحظات والاختبارات

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يساعدك تجميع وتنظيم ملاحظاتك واختباراتك السابقة على الاحتفاظ بالمعلومات التي تعلمتها في الدورة.

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اجمع ملاحظاتك واختباراتك من الدورة.
قم بتنظيمها في مجلدات أو ملفات حسب الموضوع.
قم بمراجعة الملاحظات والاختبارات بانتظام لتعزيز الاحتفاظ بالمعلومات.

توجيه الطلاب الآخرين في الدورة

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سيساعدك توجيه الطلاب الآخرين في الدورة على تعزيز فهمك للمفاهيم من خلال شرحها للآخرين.

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تحديد الطلاب الآخرين الذين يحتاجون إلى الدعم.
مراجعة المفاهيم الأساسية للدورة.
الإجابة على أسئلة الطلاب وتقديم التوجيه.

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Career center

Learners who complete تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data analysts use data visualization to identify patterns and trends in data, and to communicate insights to stakeholders. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help data analysts to develop their analytical skills and their ability to communicate their findings effectively.

See salaries and explore the career path for Data Analyst

Consultant

Consultants use data visualization to help businesses to design and implement solutions to their problems. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help consultants to develop their analytical skills and their ability to communicate their findings effectively.

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Data Scientist

Data scientists use data visualization to explore data, to build models, and to communicate their findings to stakeholders. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help data scientists to develop their analytical skills and their ability to communicate their findings effectively.

See salaries and explore the career path for Data Scientist

Business Development Manager

Business development managers use data visualization to help businesses to design and implement business development strategies. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help business development managers to develop their analytical skills and their ability to communicate their findings effectively.

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Financial Analyst

Financial analysts use data visualization to analyze financial data and to make recommendations to investors. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help financial analysts to develop their analytical skills and their ability to communicate their findings effectively.

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Customer Success Manager

Customer success managers use data visualization to help businesses to design and implement customer success strategies. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help customer success managers to develop their analytical skills and their ability to communicate their findings effectively.

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Market Researcher

Market researchers use data visualization to understand consumer behavior and to make recommendations to businesses about how to improve their products and services. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help market researchers to develop their analytical skills and their ability to communicate their findings effectively.

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Sales Manager

Sales managers use data visualization to help businesses to design and implement sales strategies. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help sales managers to develop their analytical skills and their ability to communicate their findings effectively.

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Marketing Manager

Marketing managers use data visualization to help businesses to design and implement marketing campaigns. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help marketing managers to develop their analytical skills and their ability to communicate their findings effectively.

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Product Manager

Product managers use data visualization to help businesses to design and implement products. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help product managers to develop their analytical skills and their ability to communicate their findings effectively.

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Operations Research Analyst

Operations research analysts use data visualization to analyze data and to make recommendations to businesses about how to improve their operations. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help operations research analysts to develop their analytical skills and their ability to communicate their findings effectively.

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Business Analyst

Business analysts use data visualization to analyze business data and to make recommendations to businesses about how to improve their operations. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help business analysts to develop their analytical skills and their ability to communicate their findings effectively.

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Web Developer

Web developers use data visualization to help businesses to design and implement websites. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help web developers to develop their analytical skills and their ability to communicate their findings effectively.

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Software Engineer

Software engineers use data visualization to help businesses to design and implement software systems. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help software engineers to develop their analytical skills and their ability to communicate their findings effectively.

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Data Engineer

Data engineers use data visualization to help businesses to design and implement data systems. This course can provide a foundation in data visualization techniques, including how to create different types of charts and graphs, and how to use color and other visual elements to make data more visually appealing and easier to understand. Additionally, this course can help data engineers to develop their analytical skills and their ability to communicate their findings effectively.

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