Skip to main content

Android Training Material

 
Description
Android Training Course Content
Android Computing Platform
Introduction to Android Operating System, history of Android, the various versions of Android and their features, the Android Architecture, introduction to app market, Android runtime, the Android Development Environment.
Android component, Layout Design & Event Handling
Learning about the various components of Android, the application lifecycle, Android manifest, the various Android resources, dimension, image and colour resources, resource reference syntax, studying Android View and View Group, the concept of Android buttons, check box, radio button.
Layout Manager and Styles
Introduction to Android layout manager, the various layouts like table, relative, linear, frame and learning about themes.
Understanding Intents
Introduction to Android intents, the implicit and explicit intents, learning about built-in intent actions, invoking of activity, data passing and learning about pending intents.
Menus
An overview of Android menus, creation and deployment of menus, responding to menus through listeners and options item selected, deploying sub menus, working with context menus, using XML files for menu creation, responding to such menus, XML menu resource file inflating, response to XML-based menu.
Android Services
Understanding how services work in Android, the service life cycle, the types of services like bound and unbounded services, the distinction between them, creation of service in Android.
Broadcast Receiver & Notification
Android broadcast receiver, registering the broadcast receiver, deploying Broadcast() method for broadcasting message, broadcast message listening, using manifest file for registering a receiver, understanding Android notification, creation of notification and working with context menu.
Preference Management
understanding the Android preference management, introduction to preference manager, creation and working with preferences, the most common shared preferences, reading of preference values, saving and retrieving preference using code.
SQLite DB
Introduction to SQLite database, understanding how it works in Android, storing internally and externally, database creation using SQL Helper, working with records – creating, updating, reading and deleting records.
Content Provider
Learning about content providers, the concepts, storing data in Android, creation of content provider.
Google Maps
Introduction to Android location framework, integrating Google Maps into application, steps for Google Maps API V2.
Geo Coding and Location Tracking
Android location-based services, geo-location, the location API, extracting the location using GPS, registering for location listener, adding permissions to manifest file.
Hardware components
Learning about Android hardware component integration into applications, sensors, working with sensor manager, camera applications, Bluetooth and Wi-Fi integration.
Telephony and SMS
Understanding the services of telephony and SMS and deploying it into Android applications.
Multimedia & Animation
Introduction to the multimedia features in Android, the various media components like video, audio, animation, visual graphics, learning to work with various services like audio and video recording, frame by frame animation, defining frames to be animated, animation layout, learning about basic Tween animation in Android.
Web Service
Learning about Web Service, the various components and features of Web Services in Android. Debugging & Deploying to Google Play Store
Debugging Android applications, introduction to the various debugging tools, learning to export the app to the Google Play Store, registering for the Google Play Store


 

                                    DOWNLOAD 

                                                          

                                                          

Popular posts from this blog

Tableau Training Material

                                                      Tableau Course Content Introduction to Tableau Overview of Tableau, data visualization and analytics, elements of the Tableau dashboard, understanding the significance of Tableau Desktop and Tableau Server, extensively work with data visualization using line, bar, area, stacked bar, and multi line charts, connecting with Excel data. Deep dive into Tableau Graphs Various data representation techniques, like Tables, Graphs and Maps understanding the basics of Tree Map, Histogram, Filled Map, Symbol Map, Pie Chart, Trend Lines, Normal Tables and Multi measure Tables. Tableau Table Joins Understanding the conditions and methodology for joining Tables, knowledge of Multi Table Joins. Working with Metadata Working with Table, creation of Calculated Fields, duplicating and renaming columns, conversion of data types, default aggregation. Hierarchy & Groups Tableau Hierarchy creation, Static Group creation, dep

Hybris Training Material

                  Hybris Features and Concepts The Hybris Online Training Features and Concepts track expands the participants' knowledge on infrastructural and business concepts and functionality of selected modules of the Hybris Multichannel Platform. Aim of this course is to make participants understand the features and concepts for the successful planning of projects. Course Description Any technically oriented Hybris Multichannel user will soon be challenged by the scope of the hybris Multichannel Suite's features and concepts. This  Hybris Online Training  course aims to facilitate project work by providing detailed information on architecture and all that can be summed up by the Technical Highlights. We start with a general introduction about the  SAP Hybris Training  itself before all areas of Hybris Software are discussed in detail. SAP Hybris Training Course Content Outline : WARM UP Training Course Introduction Overvie

Data Science Training Material

Description Data Science Course Content Introduction to Data Science, importance of Data Science, statistical and analytical methods, deploying Data Science for Business Intelligence, transforming data, machine learning and introduction to Recommender systems. Reasons to Use Data Science – Project Life cycle How Data Science solves real world problems, Data Science Project Life Cycle, principles of Data Science, introduction to various BI and Analytical tools, data collection, introduction to statistical packages, data visualization tools, R Programming, predictive modelling, machine learning, artificial intelligence and statistical analysis. Data Conversion Converting data into useful information, Collecting the data, Understand the data, Finding useful information in the data, Interpreting the data, Visualizing the data Terms of Statistics Descriptive statistics, Let us understand some terms in statistics, Variable Plots Dot Plots, Histogram, Stemplo