Mobile App Notifications, Databases, & Publishing

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Mobile App Notifications, Databases, & Publishing

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Adds notifications, stores data, and publishes mobile apps for Android and iOS using essential mobile app development skills

Original Description

In today's mobile-first world, over 90% of people access the internet via mobile devices (Statista) creating a high demand for professionals with strong mobile app development skills. In this course, part of the IBM iOS and Android Mobile App Developer Professional Certificate, you'll gain essential skills for adding notifications, storing data and publishing mobile apps for Android and iOS. During the course, you'll explore key components of iOS and Android development, including the app lifecycle, design elements, interfaces, and notifications. Plus, you'll work with popular tools such as SQLite, Firebase, and Firestore to manage app data, and learn how to create, sign, and prepare your apps for publishing in both the Google Play Store and Apple App Store. Through hands-on labs, you'll enhance user engagement by integrating notifications into your Flutter and React Native apps, deploying APIs to back-end cloud services, and using Firebase to manage data and enhance app functionality. You'll also explore app marketing best practices and how to track performance with a custom dashboard. If you're looking to build your mobile app development career, ENROLL today and power up your resume with highly sought after skills in less than a month!
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Enrich your datasets with business context: Migrating from legacy Topics to semantic datasets in Amazon Quick
Learn how to migrate from legacy Topics to semantic datasets in Amazon QuickSight to enrich your datasets with business context
AWS Machine Learning
📰
Data modeling best practices for Amazon Quick Sight multi-dataset relationships
Learn data modeling best practices for Amazon QuickSight multi-dataset relationships to improve your data analysis and visualization skills
AWS Machine Learning
📰
Data modeling patterns for Amazon Quick Sight multi-dataset relationships
Learn data modeling patterns for Amazon QuickSight to handle multi-dataset relationships and improve your data analysis capabilities
AWS Machine Learning
📰
Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick
Learn to build a unified semantic layer across datasets with multi-dataset Topics in Amazon QuickSight for enhanced retail analytics
AWS Machine Learning
Up next
Salesforce Tableau CRM & Einstein Discovery Consultant Exam: Full Syllabus Breakdown (New 2025 Bluep
Emily Unfiltered
Watch →