استخدام البيانات في iOS from Coursera

تقدم لك هذه الدورة المبادئ الأساسية لاستخدام البيانات في iOS. ستتعمق في العمليات والمفاهيم الكامنة وراء واجهات برمجة التطبيقات، وتستكشف صيغ البيانات التي تسمح لك بنقل البيانات بين الخوادم والأجهزة وتكتشف استخدام مع البيانات في Swift باستخدام Core Data.

بنهاية هذه الدورة التدريبية، ستتمكن من:

-إثبات معرفة عملية بكيفية اتصال تطبيقات Swift عبر الويب.

-تطبيق تقنيات البرمجة غير المتزامنة باستخدام Swift.

-استخدام مجموعة متنوعة من الأساليب للاستفادة من حزمة البيانات الأساسية في تطبيق Swift.

هذه الدورة مثالية للمتعلمين المتوسطين الذين يرغبون في إعداد أنفسهم للعمل في مجال تطوير iOS. لاجتياز هذه الدورة التدريبية بنجاح، يجب أن يكون لديك فهم متقدم لبرمجة Swift ومعرفة وظيفية بواجهات برمجة التطبيقات.

What's inside

Syllabus

مقدمة إلى واجهات برمجة تطبيقات REST

التعرف على تطوير واجهة برمجة تطبيقات RESTful.

التفاعل مع واجهات برمجة تطبيقات REST في Swift

تدريب على تطبيق تقنيات البرمجة غير المتزامنة للاستعلام عن واجهات برمجة تطبيقات REST والتعامل مع استجاباتها باستخدام Swift.

البيانات في Swift

شمول جميع استخدامات حزمة البيانات الأساسية في تطبيق Swift

المشروع النهائي

تطبيق المهارات التي تعلمتها في هذه الدورة التدريبية لإنشاء تطبيقك الخاص باستخدام وظائف التصفية والفرز.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a solid foundation for using Swift to interact with REST APIs

Taught by experts at Meta, which has a strong reputation in iOS development

Suitable for intermediate learners with a good understanding of Swift

Covers essential concepts for building iOS apps that consume data over the web

Utilizes Core Data, a popular framework for data management in iOS development

Career center

Learners who complete استخدام البيانات في iOS will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to make recommendations and solve problems. This course can help you build a foundation in data analysis, which is an essential skill for Data Analysts. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Data Scientist

Data Scientists collect, analyze, interpret, and visualize data to identify trends and patterns. They use their findings to make recommendations and solve problems. This course can help you build a foundation in data analysis and visualization, which are essential skills for Data Scientists. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively using data visualization techniques.

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Business Analyst

Business Analysts work with businesses to identify and solve problems. They use data analysis and other techniques to understand the business, its customers, and its competitors. This course can help you build a foundation in data analysis, which is an essential skill for Business Analysts. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Software Engineer

Software Engineers design, develop, and maintain software systems. They use a variety of programming languages and technologies to create software that meets the needs of users. This course can help you build a foundation in data analysis and visualization, which are increasingly important skills for Software Engineers. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively using data visualization techniques.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. They use a variety of tools and technologies to move data from one system to another. This course can help you build a foundation in data analysis, which is an essential skill for Data Engineers. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They use a variety of programming languages and technologies to create models that can learn from data and make predictions. This course can help you build a foundation in data analysis and visualization, which are essential skills for Machine Learning Engineers. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively using data visualization techniques.

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Data Architect

Data Architects design and manage data systems. They work with businesses to understand their data needs and develop data solutions that meet those needs. This course can help you build a foundation in data analysis, which is an essential skill for Data Architects. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Database Administrator

Database Administrators manage databases. They ensure that databases are running smoothly and that data is safe and secure. This course can help you build a foundation in data analysis, which is an increasingly important skill for Database Administrators. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Statistician

Statisticians collect, analyze, and interpret data. They use statistical methods to identify trends and patterns and to make predictions. This course can help you build a foundation in data analysis, which is an essential skill for Statisticians. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course can help you build a foundation in data analysis, which is an increasingly important skill for Actuaries. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Financial Analyst

Financial Analysts evaluate and make recommendations on investments. They use a variety of financial data to make investment decisions. This course can help you build a foundation in data analysis, which is an increasingly important skill for Financial Analysts. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Market Researcher

Market Researchers collect and analyze data about markets and consumers. They use this data to understand consumer behavior and to develop marketing strategies. This course can help you build a foundation in data analysis, which is an essential skill for Market Researchers. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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User Experience Researcher

User Experience Researchers study how users interact with products and services. They use research methods to identify pain points and to design products and services that are easy to use and enjoyable. This course can help you build a foundation in data analysis, which is an increasingly important skill for User Experience Researchers. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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Data Visualization Analyst

Data Visualization Analysts use data visualization techniques to communicate data insights. They work with data scientists and other analysts to create visual representations of data that are easy to understand and interpret. This course can help you build a foundation in data visualization, which is an essential skill for Data Visualization Analysts. You will learn how to use a variety of data visualization techniques to create clear and concise visualizations.

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Product Manager

Product Managers are responsible for the development and management of products. They work with engineers, designers, and other stakeholders to ensure that products meet the needs of users. This course may be useful for Product Managers who want to learn more about data analysis and visualization. You will learn how to extract data from a variety of sources, clean and prepare it for analysis, and use statistical and machine learning techniques to identify trends and patterns. You will also learn how to communicate your findings effectively.

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