Firebase Analytics: Android
This course, Firebase Analytics: Android, will teach you how to use Firebase Analytics to grow your app's user base. You'll learn how to use the Firebase console to gain insights on user behavior, add Firebase Analytics to an app, and use Firebase Crash Reporting, Firebase Remote Config, and Firebase Dynamic Links to improve your app. By the end of this course, you'll have the foundation needed to apply Firebase Analytics to your own apps. Perfect for iOS/Android developers who want to get more people to use their app, or anyone who wants to know more about how developers log user behaviors. ▼
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Course Feature
Cost:
Free
Provider:
Udacity
Certificate:
No Information
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Udacity platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [April 29th, 2023]
This course provides an overview of Firebase Analytics for Android. Students will learn how to use Firebase Analytics to gain insights on user behavior and make informed decisions to improve their app. Topics covered include the basics of digital analytics, exploring usage data with the Firebase console, adding Firebase Analytics to an app, and using Firebase Crash Reporting, Firebase Remote Config, and Firebase Dynamic Links integrated with Firebase Analytics. By the end of the course, students will have an app that records how users interact with it and the knowledge to apply Firebase Analytics to their own apps.
[Applications]
After taking this course, students will be able to apply Firebase Analytics to their own apps. They will be able to use the data collected to make informed decisions about how to improve their app, such as how difficult to make a level in a game, where to place an advertisement, or what products to stock. Additionally, they will be able to use Firebase Crash Reporting, Firebase Remote Config, and Firebase Dynamic Links integrated with Firebase Analytics to improve their app and grow their user base.
[Career Paths]
1. Mobile App Developer: Mobile app developers create applications for mobile devices such as smartphones and tablets. They use programming languages such as Java, Objective-C, and Swift to develop apps for iOS and Android platforms. With the increasing popularity of mobile apps, mobile app developers are in high demand. Firebase Analytics can help mobile app developers understand user behavior and make informed decisions about how to improve their apps.
2. Data Analyst: Data analysts use data to identify trends and patterns in order to make decisions. They use tools such as Firebase Analytics to analyze user behavior and make recommendations on how to improve an app. Data analysts are in high demand as businesses increasingly rely on data-driven decisions.
3. UX/UI Designer: UX/UI designers create user interfaces for apps and websites. They use tools such as Firebase Analytics to understand user behavior and make informed decisions about how to improve the user experience. With the increasing demand for user-friendly apps, UX/UI designers are in high demand.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree program focuses on the fundamentals of computer science, such as programming, software engineering, and data structures. It also covers topics such as artificial intelligence, computer networks, and computer graphics. With the increasing demand for mobile and web applications, this degree is becoming increasingly popular.
2. Master of Science in Data Science: This degree program focuses on the analysis of large datasets and the development of algorithms to extract meaningful insights from them. It covers topics such as machine learning, data mining, and natural language processing. With the increasing demand for data-driven decision making, this degree is becoming increasingly popular.
3. Bachelor of Science in Information Technology: This degree program focuses on the design and development of computer systems and networks. It covers topics such as database design, network security, and web development. With the increasing demand for secure and reliable IT systems, this degree is becoming increasingly popular.
4. Master of Science in Artificial Intelligence: This degree program focuses on the development of algorithms and systems that can learn from data and make decisions. It covers topics such as machine learning, natural language processing, and computer vision. With the increasing demand for intelligent systems, this degree is becoming increasingly popular.
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