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Omnya Khaled

في نهاية هذا المشروع ، ستتمكن من إضافة البيانات الموجودة في ملف csv إلى Pandas data frame ، ورسم graphمع تغيير نوع marker ولونها. ستتمكن أيضًا من تطبيق labels وتغيير حجم الخط وإضافة grid lines وlegends. أخيرًا ، ستتمكن من إنشاء boxplot وحفظ graph كصورة باستخدام مكتبات matplotlib و seaborn ، وهم أهم مكتبات في لغة python الذين يستخدمون فى ال Data Visualization.

هذا المشروع الإرشادى مخصص للأشخاص في مجال تحليل البيانات. الأشخاص الذين يرغبون في تعلم Python و Pandas. يوفر لك الخطوات المهمة لتكون محلل بيانات. ايضا ، فإنه يزودك بالمعرفة في هياكل البيانات الأصلية لpython

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What's inside

Syllabus

ملخص المشروع
في نهاية هذا المشروع ، ستتمكن من إضافة البيانات الموجودة في ملف csv إلى Pandas data frame ، ورسم graphمع تغيير نوع marker ولونها. ستتمكن أيضًا من تطبيق labels وتغيير حجم الخط وإضافة grid lines وlegends. أخيرًا ، ستتمكن من إنشاء boxplot وحفظ graph كصورة باستخدام مكتبات matplotlib و seaborn ، وهم أهم مكتبات في لغة python الذين يستخدمون فى ال Data Visualization.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for data analysis professionals seeking knowledge in data visualization using Python and its libraries
Suitable for individuals with an interest in learning the fundamentals of data visualization through Python and its libraries
Provides important foundational knowledge for aspiring data analysts
Utilizes a hands-on approach with interactive materials, fostering engagement and practical skill development

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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 MatplotLib Python باستخدام plots إنشاء ال with these activities:
إعداد بيئة تطوير Python
تتيح لك بيئة التطوير إعداد الأدوات اللازمة لبدء التعلم، مما يجعل عملية تعلمك أكثر سلاسة وفعالية.
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  • استخدم مدير الحزم المناسب لنظام التشغيل الخاص بك لتثبيت Python.
  • قم بتثبيت IDE مثل Jupyter Notebook أو PyCharm.
  • تأكد من تثبيت المكتبات اللازمة، مثل NumPy و Pandas.
إنشاء ملصق يوضح أساسيات Pandas
سيساعدك إنشاء الملخص المرئي على دمج وفهم المبادئ الأساسية لـ Pandas، مما يعزز احتفاظك بالمعلومات.
Browse courses on Pandas
Show steps
  • حدد المفاهيم الأساسية لـ Pandas التي تريد تغطيتها.
  • ابحث عن أمثلة للبيانات والصور التوضيحية.
  • استخدم برنامج تصميم مثل Canva أو Adobe Photoshop لإنشاء الملصق.
شارك معرفتك في منتديات المجتمع عبر الإنترنت
يمنحك مساعدة الآخرين فرصة لتعميق فهمك للمفاهيم وتطوير مهارات الاتصال الفعالة لديك.
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  • انضم إلى منتديات عبر الإنترنت مخصصة لـ Python أو تحليل البيانات.
  • أجب عن الأسئلة وقم بتقديم الإرشادات للمبتدئين.
  • شارك بمعرفتك حول المكتبات والأدوات.
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Career center

Learners who complete MatplotLib Python باستخدام plots إنشاء ال will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data to help businesses understand their data and make decisions. They use their skills in design, statistics, and data analysis to create charts, graphs, and other visualizations that communicate data effectively. This course can help you develop the skills you need to become a successful Data Visualization Specialist by teaching you how to use Python and Pandas to visualize and analyze data.
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data to provide insights into real-world problems. They use their skills in mathematics, statistics, and data analysis to develop models that can predict future outcomes or identify trends in data. This course can help you develop the skills you need to become a successful Statistician by teaching you how to use Python and Pandas to visualize and analyze data.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use their findings to make recommendations for businesses on how to improve their operations or marketing strategies. This course can help you develop the skills you need to become a successful Data Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to businesses on how to improve their financial performance. They use their skills in accounting, finance, and data analysis to develop models that can predict future financial outcomes or identify trends in financial data. This course can help you develop the skills you need to become a successful Financial Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Marketing Analyst
Marketing Analysts are responsible for analyzing marketing data to identify trends and opportunities. They use their skills in marketing, data analysis, and statistics to develop strategies that can help businesses improve their marketing campaigns. This course can help you develop the skills you need to become a successful Marketing Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Product Manager
Product Managers are responsible for planning, developing, and launching new products. They use their skills in business, product management, and data analysis to identify customer needs and develop products that meet those needs. This course can help you develop the skills you need to become a successful Product Manager by teaching you how to use Python and Pandas to visualize and analyze data.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that collect, store, and process data. They use their skills in computer science, data engineering, and data analysis to ensure that data is available and accessible to businesses in a timely and efficient manner. This course can help you develop the skills you need to become a successful Data Engineer by teaching you how to use Python and Pandas to visualize and analyze data.
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. They use their skills in computer science, software engineering, and data analysis to build applications that meet the needs of businesses and users. This course can help you develop the skills you need to become a successful Software Developer by teaching you how to use Python and Pandas to visualize and analyze data.
Healthcare Data Analyst
Healthcare Data Analysts are responsible for analyzing healthcare data to identify trends and patterns. They use their skills in healthcare, data analysis, and statistics to develop models that can predict future health outcomes or identify areas for improvement in healthcare delivery. This course can help you develop the skills you need to become a successful Healthcare Data Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Education Data Analyst
Education Data Analysts are responsible for analyzing education data to identify trends and patterns. They use their skills in education, data analysis, and statistics to develop models that can predict future student outcomes or identify areas for improvement in education policy. This course can help you develop the skills you need to become a successful Education Data Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Financial Risk Analyst
Financial Risk Analysts are responsible for analyzing financial data to identify risks to businesses. They use their skills in finance, accounting, and data analysis to develop models that can predict future financial outcomes or identify areas of financial vulnerability. This course can help you develop the skills you need to become a successful Financial Risk Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. They use their skills in machine learning, artificial intelligence, and statistics to build models that can predict future outcomes or identify patterns in data. This course can help you build a foundation in data science by teaching you how to use Python and Pandas to visualize and analyze data.
Environmental Data Analyst
Environmental Data Analysts are responsible for analyzing environmental data to identify trends and patterns. They use their skills in environmental science, data analysis, and statistics to develop models that can predict future environmental outcomes or identify areas for improvement in environmental policy. This course can help you develop the skills you need to become a successful Environmental Data Analyst by teaching you how to use Python and Pandas to visualize and analyze data.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use their skills in computer science, mathematics, and statistics to build models that can learn from data and make predictions. This course can help you develop the skills you need to become a successful Machine Learning Engineer by teaching you how to use Python and Pandas to visualize and analyze data.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying areas for improvement. They use their skills in data analysis, problem-solving, and communication to develop solutions that can help businesses improve their efficiency and profitability. This course can help you develop the skills you need to become a successful Business Analyst by teaching you how to use Python and Pandas to visualize and analyze data.

Reading list

We've selected 12 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 MatplotLib Python باستخدام plots إنشاء ال .
هذا الكتاب شامل للغاية، يغطي العديد من الموضوعات ذات الصلة بعلوم البيانات باستخدام بايثون. إنه بمثابة مرجع مفيد لأي شخص يتطلع إلى تعميق معارفه في هذا المجال.
Emphasizes the importance of clear and ethical data visualization. While this course focuses on the technical aspects of visualization, this book provides a broader perspective on the role of visualization in conveying information effectively. It's a valuable read for anyone interested in the art and science of data visualization.
Covers the popular Python library, Pandas, useful for working with structured data. It's a useful resource to learn in-depth about data manipulation and analysis using Python. While this course focuses on visualization with Matplotlib and Seaborn, this book provides a broader view of data analysis and manipulation.
Provides a practical introduction to data visualization, covering various techniques and principles. While this course focuses on Matplotlib and Seaborn, this book offers a broader perspective on data visualization, including discussions on human perception and the effective communication of data insights.
This simplified guide to data visualization provides practical advice and best practices for creating effective visualizations. While this course offers hands-on experience with Matplotlib and Seaborn, this book reinforces visualization principles and helps you understand the purpose and impact of different types of visualizations.
ويكون هذا الكتاب مفيدًا بشكل خاص لفهم Pandas، وهي مكتبة أساسية تُستخدم في معالجة البيانات وتحليلها في Python.
Focuses on the ggplot2 library for data visualization in R. While this course uses Matplotlib and Seaborn, ggplot2 popular alternative with a different approach to data visualization. This book provides insights into ggplot2's capabilities and can help expand your understanding of data visualization techniques.
Provides practical guidance on writing clean and efficient Python code, which is essential for data scientists and programmers. While this course focuses on data visualization, this book can help improve your overall Python programming skills, making it a valuable supplement.
Provides an introduction to machine learning using Python. While it does not focus specifically on data visualization, it covers the fundamentals of machine learning, which can be beneficial for understanding the context and applications of data visualization.
يقدم هذا الكتاب منظورًا عامًا حول مبادئ التصور المرئي الفعال، بما في ذلك استخدام Matplotlib و Seaborn. وهو مفيد لأولئك الذين يرغبون في تحسين مهاراتهم في سرد القصص بالبيانات.
بينما يركز هذا الكتاب على التصور المرئي التفاعلي باستخدام JavaScript، إلا أنه يوفر أيضًا خلفية قوية لمبادئ التصور المرئي التي تنطبق على Matplotlib وSeaborn.
بينما لا يركز هذا الكتاب تحديدًا على Python أو Matplotlib أو Seaborn، إلا أنه يوفر أساسًا نظريًا قويًا لمبادئ التصور المرئي الفعال. وهو مفيد لأولئك الذين يرغبون في فهم كيفية تصميم وتقييم التمثيلات المرئية للبيانات.

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