Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance. Depending on the particular application, the data that's analyzed can consist of either historical records or new information that has been processed for real-time analytics uses. In addition, it can come from a mix of internal systems and external data sources.
Key Features
20 hours of high quality eLearning content
3 case studies
106 real world examples from various industries
Education with new technologies
Achievements in work
2 Glossaries for difficult terms & acronyms
Lessons
History of Android
15 min
Introduction to Android OS
55 min
What is Android?
2 hours
Android Versioning
60 min
Android Development Tools
75 min
Android Architecture
30 min
Practical Installation of Android SDK, Eclipse and ADT Plug-in
15 min
Structure of Android Project
20 min
OOPS Concepts
30 min
Core Java Concepts
30 min
Introduction to android components / Building Blocks
25 min
Activity Life cycle
50 min
Application development (Hello world)
75 min
User Interface
20 min
Understanding an android application structure
30 min
Working with Layouts techniques
60 min
Intents understanding
15 min
Data Storage & Permissions
60 min
Services
70 min
Broadcast Receivers
50 min