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MatplotLib Python باستخدام plots إنشاء ال

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

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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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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 .

Python Data Science Handbook

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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.

(English) Python Data Science Handbook: Essential Tools for...