مؤثرات عرض البيانات باستخدام لغة بايثون from Coursera

"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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Know what's good

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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

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 مؤثرات عرض البيانات باستخدام لغة بايثون with these activities:

Read 'Data Visualization: A Practical Introduction' by Kieran Healy

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Expand knowledge of data visualization techniques and best practices by reading a foundational text in the field.

View Data Visualization: A Practical Introduction on Amazon

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Read Chapters 1-4 to understand the principles and history of data visualization.
Complete exercises and assignments to apply concepts and skills.

Compile resources on best practices in data visualization

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Gather and organize valuable resources to enhance understanding of best practices in data visualization, facilitating reference and application.

Browse courses on Data Visualization

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Research and identify authoritative sources on data visualization best practices.
Collect and curate articles, books, tutorials, and other relevant resources.
Organize resources into categories or themes for easy navigation.

Review and practice Python coding basics

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Refresh basic Python concepts by practicing coding drills to strengthen comprehension.

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Complete at least 20 coding exercises on a platform like LeetCode or HackerRank.
Review solutions and debug code to identify and correct errors.

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Follow tutorials on advanced Python data manipulation techniques

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Enhance data manipulation skills by following expert-led tutorials, deepening understanding of Python libraries and their applications.

Browse courses on Data Manipulation

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Identify areas where data manipulation skills need improvement.
Search and select high-quality tutorials covering advanced techniques.
Follow tutorials, taking notes and implementing concepts in practice.

Create a data visualization dashboard using Python libraries

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Apply visualization techniques to real-world data by creating an interactive dashboard, solidifying understanding and enhancing communication skills.

Browse courses on Data Visualization

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Gather and clean a suitable dataset for the dashboard.
Select and apply appropriate Python libraries for data visualization and dashboard creation.
Design and implement the dashboard, ensuring it's user-friendly and visually appealing.
Test and refine the dashboard to optimize its functionality and presentation.

Volunteer as a data analyst or visualization specialist

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Gain practical experience in data analysis and visualization while contributing to a cause or organization, solidifying skills and building a portfolio.

Browse courses on Data Analysis

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Research and identify organizations or projects seeking data analysis or visualization support.
Connect with organizations, express interest, and discuss volunteer opportunities.
Contribute data analysis and visualization skills to support projects and initiatives.
Reflect on experiences and seek feedback to enhance skills and impact.

Participate in data visualization or data analysis competitions

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Challenge oneself in a competitive environment, testing and pushing the boundaries of data visualization and analysis skills.

Browse courses on Data Visualization

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Identify and register for relevant competitions.
Study competition guidelines and familiarize oneself with the data.
Develop and implement a data visualization or analysis strategy.
Submit entries and receive feedback, reflecting on areas for improvement.

Contribute to open-source data visualization projects

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Engage with the data visualization community by contributing code or documentation to open-source projects, fostering collaboration and advancing technical skills.

Browse courses on Data Visualization

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Identify open-source data visualization projects that align with interests and skill level.
Review project documentation and familiarize oneself with codebase.
Propose or select a contribution to make, such as bug fixes, feature enhancements, or documentation improvements.
Submit a pull request and engage with the project maintainers to refine and merge contributions.

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.

See salaries and explore the career path for Data Visualization Engineer

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Marketing Analyst

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Web Developer

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Information Systems Manager

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Technical Writer

مؤثرات عرض البيانات باستخدام لغة بايثون

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