و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام from Coursera

فى نهاية هذا المشروع ، ستكون قادرًا على تحميل البيانات من ملفات CSV ، وتحديد شكل ال data frame ، وتطبيق بعض العمليات للتحقق من صحة البيانات ، ومعالجة البيانات وتصفيتها. ايضا ، ستتمكن من إعادة تسمية وحذف الأعمدة وتنظيف البيانات لتطبيق بعض الوظائف ، وأخيراً تصديرها إلى ملفات CSV باستخدام Pandas library وهي library مفتوحة المصدر توفر العديد من الأدوات لتحليل البيانات. يوجد بها العديد من هياكل البيانات التي يمكن استخدامها للعديد من مهام معالجة البيانات المختلفة. كما أن لديها مجموعة متنوعة من الأساليب التي يمكن استخدامها لتحليل البيانات ، والتي تكون مفيدة عند العمل على علوم البيانات و مشاكل الmachine learning في python.

هذا المشروع موجه للأشخاص في مجال الأعمال وتحليل البيانات. وأيضًا الأشخاص الذين يرغبون في معرفة المزيد عن library Python و Pandas. يوفر لك الخطوات المهمة لتكون محلل بيانات. ايضا ، فإنه يزودك بمعرفة هياكل البيانات الأصلية ل Python

What's inside

Syllabus

ملخص المشروع

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches Python programming, which is necessary for almost all data science and analysis work

Emphasizes Pandas, which is an essential data manipulation and analysis library in Python

Provides fundamental skills in data cleaning and preparation, crucial for real-world data analysis

Suitable for beginners or those with minimal Python experience, making it accessible to a wide audience

Covers essential data analysis tasks, such as data loading, cleaning, and manipulation

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 و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام with these activities:

Participate in peer coding sessions on Pandas library

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Engaging in peer coding sessions will provide you with opportunities to discuss and troubleshoot your code with others, deepening your understanding of Pandas library.

Browse courses on Pandas Library

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Find a study partner or group.
Agree on a specific topic or project to work on.
Share your code and collaborate on solving problems.

Practice using Pandas library functions for data manipulation

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Practicing data manipulation tasks using Pandas library will help you strengthen your understanding of its functionality and improve your proficiency in handling data.

Browse courses on Pandas Library

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Create a DataFrame from a CSV file.
Apply data manipulation functions to clean and transform the data.
Export the modified DataFrame to a CSV file.

Attend a workshop on advanced Pandas library techniques

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Attending a workshop will provide you with an opportunity to learn from experts and gain hands-on experience using advanced Pandas library techniques.

Browse courses on Pandas Library

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Research and identify relevant workshops.
Register and attend the workshop.
Actively participate in the workshop and ask questions.

Four other activities

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Write a blog post or article summarizing the key concepts of Pandas library

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Writing about Pandas library will solidify your understanding of its concepts and encourage you to think critically about its applications.

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Identify the key concepts you want to cover.
Research and gather information from reliable sources.
Write a clear and concise explanation of the concepts.
Publish your blog post or article.

Build a data visualization using Pandas library

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Creating a data visualization will allow you to apply your knowledge of Pandas library to a practical task, which will help you solidify your understanding.

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Import the required libraries.
Read the data from a CSV file.
Explore the data and identify the key insights you want to visualize.
Create a visualization that effectively represents the data.
Present your visualization and explain your findings.

Follow tutorials on advanced Pandas library techniques

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Exploring advanced Pandas library techniques through tutorials will expose you to new functionalities and best practices, enhancing your data analysis skills.

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Identify a specific advanced technique you want to learn.
Find a relevant tutorial that covers the technique.
Follow the tutorial step-by-step and implement the technique in your own code.

Create a data analysis dashboard using Pandas library

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Building a data analysis dashboard will challenge you to apply your Pandas library skills to solve a real-world problem, fostering your critical thinking and problem-solving abilities.

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Define the purpose and goals of your dashboard.
Gather and prepare the necessary data.
Design and implement the dashboard using Pandas library.
Deploy the dashboard and share it with stakeholders.

Career center

Learners who complete و تحميل البيانات و إخراجهاPandas شرح أساسيات استخدام will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to uncover trends and patterns. They use their findings to make recommendations that can improve business outcomes. The Pandas library is a powerful tool for data analysis, and this course will help you learn how to use it to import, clean, and analyze data. This course can help you build a strong foundation for a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to build models that can predict future outcomes. They use these models to make recommendations that can help businesses make better decisions. The Pandas library is a valuable tool for data scientists, and this course will help you learn how to use it to wrangle and analyze data. This course can help you build a strong foundation for a career as a Data Scientist.

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Business Analyst

Business Analysts use data to understand business problems and identify opportunities for improvement. They use their findings to make recommendations that can help businesses improve their performance. The Pandas library is a valuable tool for business analysts, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as a Business Analyst.

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Financial Analyst

Financial Analysts use data to evaluate the financial performance of companies. They use their findings to make recommendations that can help investors make informed decisions. The Pandas library is a valuable tool for financial analysts, and this course will help you learn how to use it to import, clean, and analyze financial data. This course can help you build a strong foundation for a career as a Financial Analyst.

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Operations Research Analyst

Operations Research Analysts use data to solve complex business problems. They use their findings to make recommendations that can help businesses improve their efficiency and profitability. The Pandas library is a valuable tool for operations research analysts, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as an Operations Research Analyst.

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Market Researcher

Market Researchers use data to understand the needs of customers. They use their findings to make recommendations that can help businesses develop new products and services. The Pandas library is a valuable tool for market researchers, and this course will help you learn how to use it to collect, clean, and analyze data. This course can help you build a strong foundation for a career as a Market Researcher.

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Statistician

Statisticians use data to design and conduct studies to collect data. They use their findings to make inferences about the population from which the data was collected. The Pandas library is a valuable tool for statisticians, and this course will help you learn how to use it to import, clean, and analyze data. This course can help you build a strong foundation for a career as a Statistician.

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Software Engineer

Software Engineers design, develop, and maintain computer software. They use their knowledge of computer science to create software that meets the needs of users. While the Pandas library is not a core requirement for Software Engineers, this course can help build a foundation in data analysis, which is a valuable skill for many Software Engineers.

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Data Engineer

Data Engineers design, build, and maintain the infrastructure that is used to store and process data. They use their knowledge of computer science to create systems that can handle large volumes of data. While the Pandas library is not a core requirement for Data Engineers, this course can help build a foundation in data analysis, which is a valuable skill for many Data Engineers.

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Database Administrator

Database Administrators design, build, and maintain databases. They use their knowledge of database systems to create databases that meet the needs of users. While the Pandas library is not a core requirement for Database Administrators, this course can help build a foundation in data analysis, which is a valuable skill for many Database Administrators.

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Computer Analyst

Computer Analysts analyze and solve problems that affect computer systems. They use their knowledge of computer systems to identify and resolve issues. While the Pandas library is not a core requirement for Computer Analysts, this course can help build a foundation in data analysis, which is a valuable skill for many Computer Analysts.

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Web Developer

Web Developers design, develop, and maintain websites. They use their knowledge of web development technologies to create websites that meet the needs of users. While the Pandas library is not a core requirement for Web Developers, this course can help build a foundation in data analysis, which is a valuable skill for many Web Developers.

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Systems Analyst

Systems Analysts analyze and solve problems that affect computer systems. They use their knowledge of computer systems to identify and resolve issues. While the Pandas library is not a core requirement for Systems Analysts, this course can help build a foundation in data analysis, which is a valuable skill for many Systems Analysts.

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Computer Programmer

Computer Programmers design, develop, and maintain computer programs. They use their knowledge of programming languages to create programs that meet the needs of users. While the Pandas library is not a core requirement for Computer Programmers, this course can help build a foundation in data analysis, which is a valuable skill for many Computer Programmers.

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Computer and Information Systems Manager

Computer and Information Systems Managers oversee the planning, implementation, and maintenance of computer systems. They use their knowledge of computer systems to ensure that systems are operating efficiently and effectively. While the Pandas library is not a core requirement for Computer and Information Systems Managers, this course can help build a foundation in data analysis, which is a valuable skill for many Computer and Information Systems Managers.

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