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مؤثرات عرض البيانات باستخدام لغة بايثون

Alex Aklson
"الصورة تساوي ألف كلمة". كلنا يعرف هذا التعبير. إنه ينطبق بشكل خاص عند محاولة شرح نتائج التحليلات التي تم الحصول عليها من تحليل مجموعات البيانات الكبيرة المتزايدة. تؤدي مؤثرات عرض البيانات دورًا أساسيًا في تمثيل البيانات الصغيرة والكبيرة على حد سواء. ...
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"الصورة تساوي ألف كلمة". كلنا يعرف هذا التعبير. إنه ينطبق بشكل خاص عند محاولة شرح نتائج التحليلات التي تم الحصول عليها من تحليل مجموعات البيانات الكبيرة المتزايدة. تؤدي مؤثرات عرض البيانات دورًا أساسيًا في تمثيل البيانات الصغيرة والكبيرة على حد سواء. وتتمثل إحدى المهارات الأساسية لعالِم البيانات في قدرته على سرد قصة مقنعة، تعرِض البيانات والنتائج مصحوبة بمؤثرات عرض بطريقة ودّيّة ومحفِّزة. إن تعلم كيفية الاستفادة من أداة برمجية لمؤثرات عرض البيانات في صورة مؤثرات عرض سيمكنك أيضًا من استخراج المعلومات وفهم البيانات بشكل أفضل، واتخاذ قرارات أكثر فاعلية. والهدف الرئيسي من هذه الدورة التدريبية لمؤثرات عرض البيانات باستخدام لغة بايثون هو تعليمك كيفية أخذ البيانات التي تبدو لأول وهلة عديمة المعنى وتقديم تلك البيانات في شكل منطقي للجمهور. تم تطوير تقنيات مختلفة لعرض البيانات بشكل مرئي ولكن في هذه الدورة التدريبية، سنستخدم العديد من مكتبات مؤثرات عرض البيانات في لغة بايثون، وهي مكتبة مات بلوت ليب ومكتبة سيبورن ومكتبة فوليوم. عرض لفترة محدودة: سعر الاشتراك 39 دولارًا أمريكيًا فقط شهريًا للحصول على المواد المتدرّجة والشهادة.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides knowledge and skills that are applicable for roles in data analytics
Designed using a modular approach, allowing learners to choose their preferred learning modules
Led by expert instructors who are recognized for their knowledge and practical experience in data visualization
Utilizes a variety of Python libraries, including Matplotlib, Seaborn, and Volume, which are widely used in the data visualization field
Suitable for learners with beginner to intermediate experience in data science or data analytics
Course materials and resources are accessible for a reasonable subscription fee

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Career center

Learners who complete مؤثرات عرض البيانات باستخدام لغة بايثون will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
A Data Visualization Engineer uses coding and analytical expertise to design charts and dashboards that communicate insights clearly with stakeholders. This course in Data Visualization using Python would be particularly helpful for someone in this role, as it provides practical experience in using Python libraries like Matplotlib, Seaborn, and Vfolium to create compelling data visualizations.
Business Intelligence Analyst
A Business Intelligence Analyst helps organizations make better decisions by analyzing data and presenting insights. This course in Data Visualization using Python would be beneficial for someone in this role, as it provides the skills needed to communicate insights effectively through data visualizations.
Data Scientist
A Data Scientist uses analytical and technical skills to extract insights from data. This course in Data Visualization using Python would be helpful for someone in this role, as it provides the skills needed to communicate insights effectively through data visualizations.
Financial Analyst
A Financial Analyst uses financial data to make investment recommendations and assess the financial health of companies. This course in Data Visualization using Python would be beneficial for someone in this role, as it provides the skills needed to communicate financial data effectively through data visualizations.
Marketing Analyst
A Marketing Analyst uses data to understand customer behavior and optimize marketing campaigns. This course in Data Visualization using Python would be beneficial for someone in this role, as it provides the skills needed to communicate marketing data effectively through data visualizations.
Product Manager
A Product Manager is responsible for the development and launch of new products. This course in Data Visualization using Python would be helpful for someone in this role, as it provides the skills needed to communicate product data effectively through data visualizations.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course in Data Visualization using Python would be helpful for someone in this role, as it provides the skills needed to communicate technical data effectively through data visualizations.
User Experience Designer
A User Experience Designer designs and evaluates the user experience of products. This course in Data Visualization using Python would be helpful for someone in this role, as it provides the skills needed to communicate user experience data effectively through data visualizations.
Web Developer
A Web Developer designs and develops websites and web applications. This course in Data Visualization using Python would be helpful for someone in this role, as it provides the skills needed to communicate web data effectively through data visualizations.
Statistician
A Statistician collects, analyzes, and interprets data to make informed decisions. This course in Data Visualization using Python would be may be helpful for someone in this role, as it provides the skills needed to communicate statistical data effectively through data visualizations.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to make informed decisions. This course in Data Visualization using Python would be may be helpful for someone in this role, as it provides the skills needed to communicate data effectively through data visualizations.
Database Administrator
A Database Administrator manages and maintains databases. This course in Data Visualization using Python may be helpful for someone in this role, as it provides the skills needed to communicate database data effectively through data visualizations.
Information Systems Manager
An Information Systems Manager plans and manages the implementation and use of information systems. This course in Data Visualization using Python may be helpful for someone in this role, as it provides the skills needed to communicate information systems data effectively through data visualizations.
Project Manager
A Project Manager plans and manages projects. This course in Data Visualization using Python may be helpful for someone in this role, as it provides the skills needed to communicate project data effectively through data visualizations.
Technical Writer
A Technical Writer writes technical documentation. This course in Data Visualization using Python may be helpful for someone in this role, as it provides the skills needed to communicate technical data effectively through data visualizations.

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 مؤثرات عرض البيانات باستخدام لغة بايثون.
This classic book on data visualization must-read for anyone who wants to learn more about the field. Tufte provides a wealth of insights into how to design effective visualizations that communicate data clearly and effectively.
Comprehensive guide to data visualization with Processing. Tarbell provides a detailed overview of the Processing programming language and its data visualization capabilities. He offers a wealth of examples to show how to use Processing to create effective visualizations.
Provides a comprehensive overview of data visualization principles and techniques. It covers a wide range of topics, from basic chart types to more advanced techniques like interactive visualizations and data storytelling. It's a great resource for anyone who wants to learn more about data visualization.
Comprehensive guide to the ggplot2 data visualization library. Wickham provides a detailed overview of the library's features and functionality, and he offers a wealth of examples to show how to use ggplot2 to create effective visualizations.
Comprehensive guide to the D3.js data visualization library. Murray provides a detailed overview of the library's features and functionality, and he offers a wealth of examples to show how to use D3.js to create effective visualizations.
Comprehensive guide to data visualization with Processing. Reas provides a detailed overview of the Processing programming language and its data visualization capabilities. He offers a wealth of examples to show how to use Processing to create effective visualizations.
Gentle introduction to data visualization for people with no prior experience. Few provides clear and concise explanations of the basic principles of data visualization, and he offers a wealth of practical advice on how to create effective visualizations.

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