Working with Data in Android (Course 7/12) | Meta Android Developer Professional Certificate

Working with Data in Android
Course 7/12. It is a part of Meta Android Developer Professional certificate of coursera.

Learn how to work with web technologies and persistent data on Android applications even after you close or restart an app. There is a focus on web communication and developer tools and you will discover how Kotlin applications communicate over the web. You’ll learn how data formats and web protocols work in relation to Kotlin apps. Furthermore, you will practice applying asynchronous programming techniques using Kotlin.

Learn the core functionality and uses of the SQLite database management system (DBMS). Learn about web clients and databases by adding connections from your app to other languages to access custom-built web application programming interfaces (APIs) and database management systems.

To complete this course, it is recommended that you have an advanced understanding of Kotlin programming, along with a functional knowledge of operating Android Studio to complete this course.

By the end of this course, you will be able to:

• Identify some of the most useful tools and packages available to a Kotlin developer

• Apply Kotlin coroutines in Android applications

• Apply the general principles of using Room

• Integrate code from other languages into Kotlin

• Build a data driven Android app

working with data in Android,
Android data management,
Android data storage,
Android SQLite database,
Android Room persistence library,
Android content providers,
Android data models,
Android data retrieval,
Android data manipulation,
Android data synchronization,
Android data caching,
Android data encryption,
Android data serialization,
Android data migration,
Android data backup and restore,
Android data security,
Android data validation,
Android data binding,
Android data persistence patterns,
Android data access patterns,
Android data networking,
Android RESTful APIs,
Android JSON parsing,
Android XML parsing,
Android data streaming,
Android data handling best practices,
Android data performance optimization,
Android data offline capabilities,
Android data synchronization techniques,
Android data backups and versioning,
Android data privacy,
Android data permissions,
Android data sharing,
Android data analytics,
Android data visualization,
Android data monitoring and logging,
Android data error handling,
Android data testing and debugging,
Android data integration with backend services,
Android data integration with cloud services,
Android data integration with third-party libraries,
Android data integration with social media platforms,
Android data integration with payment gateways,
Android data integration with sensors and IoT devices