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Description Whether you want to become a highly paid Android Developer or a Freelancer Android Developer and build top-notch Apps in no time flat, then this Android Developer's Portfolio Masterclass - Build real Apps course is what you need. This comprehensive course is designed to help you in building Android Developer's Portfolio, developer resume, and attract employers and amp. This course covers everything you need to know about building world-class apps you can add to your portfolio including the tools and techniques that required to become a Pro-Java Developer. You'll also learn how to grow your Android Development knowledge while building up your portfolio and the crucial Android Framework in a little time. What you'll learn Build Android Apps to include on your portfolio Master intermediate to advanced Android & Java Development Skills Build your Android Developer Resume and Reputation so you get that job! Master the tools that will make you and EXPERT Android & Java Developer Get all the tools and knowledge to become a true Android Developer Champion Requirements Have some Android Development Experience Have some Java Programming Experience (Java Refresher section provided) Not a complete Java and Android Beginner Who is the target audience? If you have a working Java and Android Development knowledge, this is for you. If you are a seasoned Java programmer and have done some Android Development then take this for you. If you are switching from C++ to Java then this is a fast-track way of doing it. You can get started straight away with the Intermediate Java Language section. If you are a pro developer and want to quickly get up to date with Android Development, then this course is for you. If you need some Java refresher, then you have come to the right place as I have included a bonus section on Java too. Who this course is for: Java and Android Student's who want to build their Android Developer's Portfolio Intermediate Android Developers who want to build their Android Developer Resume and get Jobs or start their freelancer careers Advanced Java and Android Developers who want to Build Android Apps that will wow potential employers and clients Android Developers who want to build their developer online presence Students who want to take their existent Android/Java Skills to the next level by building Amazing Android Apps Getting Started What you'll get from this Course? 00:03:00 How To Get Your Free Gifts? 00:05:00 About Bonus Sections 00:02:00 Build Your Portfolio App - Brand Yourself as Android Development What You'll Make by the End of This Section 1 00:01:00 Let's Build our Portfolio App - Setup User Interface - Part 1 00:14:00 Let's Build our Portfolio App - Setup User Interface - Part 2 00:10:00 Portfolio App - User Interface and Coordinator Widget 00:10:00 Let's Build our Portfolio App - TabLayout and Fragment 00:13:00 Let's Build our Portfolio App - Setup User Interface - Viewpager Adapter 00:15:00 Let's Build our Portfolio App - Final App 00:08:00 Build Your Portfolio - Motivational App What You'll Make by the End of This Section 2 00:01:00 Motivational App - Intro and UI Setup - Part 1 00:11:00 Motivational App - AppController Class 00:10:00 Motivational App - Pager Adapter 00:14:00 Motivational App - Quotes Fragment Setup 00:14:00 Motivational App - Show Quotes on Slide 00:20:00 Motivational App - Final - Cardview Colors 00:07:00 Build Your Portfolio - Build and Android Game What You'll Make by the End of This Section 3 00:01:00 Let's Build a Fun Game - Reflex Game - UI Setup 00:10:00 Let's Build a Fun Game - Reflex View - Setup - Part 1 00:11:00 Let's Build a Fun Game - Reflex View - Setup - Part 2 00:13:00 Let's Build a Fun Game - Reflex Game - Add Spot on Screen 00:13:00 Let's Build a Fun Game - Reflex Game - Show Spots and Tapping 00:15:00 Let's Build a Fun Game - Reflex Game - Adding Sound Efects 00:13:00 Let's Build a Fun Game - Reflex Game - More Setup 00:11:00 Let's Build a Fun Game - Reflex Game - Game Setup 00:11:00 Let's Build a Fun Game - Reflex Game -Final Game 00:17:00 Advanced Drawing on Screen Draw and Views in Android 00:05:00 Drawing Primitive Shapes on Screen - Circles and Lines 00:16:00 How to Read the Android Documentations 00:07:00 Gradients 00:07:00 Drawing Bitmaps on Screen 00:08:00 Custom TextViews 00:08:00 Build Your Portfolio - Build Pikasso - Doodlz App What You'll Make by the End of This Section 4 00:01:00 Pikasso App - Overview 00:14:00 Pikasso App - Setup - Part 1 00:06:00 Pikasso App - Setup - Motion Event Methods 00:15:00 Pikasso App - Drawing on Screen 00:15:00 Pikasso App - Setup - Creating Menus - Part 1 00:16:00 Pikasso App - Creating Menu - Part 2 00:06:00 Pikasso App - Setup Dialog for Width 00:11:00 Pikasso App - Setup - Color Seekbar - Part 1 00:12:00 Pikasso App - Setup SeekBar Dialog 00:16:00 Pikasso App - Setup - Finalize Color Seekbar Dialog 00:21:00 Pikasso App - Saving Images 00:18:00 Pikasso App - Final Product 00:05:00 Build Your Android Portfolio - Weather App What You'll Make by the End of This Section 5 00:01:00 Weather App - Setup User Interface 00:18:00 Weather App - adding a Background Image 00:08:00 Weather App - Setup Volley and JSON API 00:12:00 Weather App - Setup Model Class and ViewPager Fragment 00:17:00 Weather App - Creating the ForecastAdapter and Forecast Fragment 00:14:00 Weather App - Setup Forecast Fragment 00:13:00 Weather App - Setup Forecast Data Class and Download JSON Data 00:09:00 Weather App - Probing in JSON API Object 00:10:00 Weather App - Pulling Data and Async Callback Interface 00:18:00 Weather App - Showing data in ViewPager 00:10:00 Weather App - ViewPager Design and Rearranging Views 00:12:00 Weather App - Putting Together the Top CardView and Current Weather data 00:11:00 Weather App - Top Cardview Final Look 00:11:00 Weather App - Getting Location Input and Populate Screen 00:14:00 Weather App - Saving Locations - Shared Preferences 00:14:00 Weather App - Final Weather Forecast App 00:21:00 Build your Portfolio - Android Sensors What You'll Make by the End of This Section 6 00:01:00 Introduction to Sensor in Android Devices 00:04:00 Different types of Sensors 00:13:00 Getting Light Sensors 00:17:00 Ambient Temperature Sensor 00:11:00 Compass App - Part 1 00:12:00 Compass App - Final 00:12:00 Build your Portfolio - Breathe App What You'll Make by the End of This Section 6 00:01:00 Introduction to Breathe App - UI Setup 00:13:00 Introduction to Breathe App - Animation Library 00:11:00 Introduction to Breathe App - Animate the View 00:12:00 Introduction to Breathe App - Saving App Data 00:13:00 Introduction to Breathe App - Final App 00:21:00 Bonus Section - Java Refresher Intro to Variables - Java 00:07:00 Variables - Integers 00:08:00 Variables - Double, Chars, Floats 00:13:00 Variables - Booleans 00:03:00 Java Basic Operations 00:13:00 Java - Relational Operators and If Statements 00:10:00 Java For and While Loops 00:12:00 Java - Methods and Parameters 00:12:00 Java - Methods and Return Types 00:13:00 Java - Introduction to Classes 00:15:00 Java - Member Variables 00:09:00 Java Access Modifiers 00:13:00 Java - Overloading Constructors 00:05:00 Java - Introduction to Inheritance 00:04:00 Java Inheritance - Part 2 00:11:00 Java - Arrays 00:11:00 Java - Arrays - Part 2 00:06:00 Java - HashMaps 00:10:00 Java - HashMaps - Part 2 00:04:00 Installing Android Studio - Setup Development Environment Installing Java, JDK and JRE (Windows PC) 00:09:00 Install Android Studio on Windows PC 00:12:00 Install Android Studio - Mac OSX 00:09:00
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In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.
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Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
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The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Azure AD PowerShell for Microsoft Office 365 Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Azure AD PowerShell for Microsoft Office 365, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:02:00 Section 02: PowerShell Basic Introduction PowerShell Introduction 00:05:00 PowerShell Console (PowerShell ISE, VS Code) 00:05:00 PowerShell Useful Commands (Get-Help) 00:04:00 PowerShell Useful Commands (Get-Command) 00:01:00 PowerShell Useful Commands (Get-Module) 00:03:00 Section 03: Visual Studio Code Editor Initial Setup Visual Studio Code Setup 00:02:00 VS Code Interface & Install PowerShell Ext 00:03:00 Write & Test PowerShell Script 00:02:00 Section 04: Connect to Azure Active Directory through PowerShell Azure Active Directory Introduction 00:04:00 Prerequisite & Install AZURE AD PS Module 00:03:00 Connect to Azure AD PowerShell with Microsoft Office 365 Subscription 00:04:00 Install All Office 365 Service's Module (To Prepare All-in-one Scripts) 00:03:00 All-in-one PowerShell Script to Connect all M365 Services 00:09:00 Section 05: Administration of Microsoft Office 365 User Accounts View Microsoft Office 365 User Accounts 00:05:00 Create Single Microsoft Office 365 User Account 00:09:00 Create Multiple Microsoft Office 365 User Accounts 00:04:00 Modify Microsoft Office 365 User Account Properties 00:08:00 Delete Microsoft Office 365 User Accounts 00:03:00 Block Microsoft Office 365 User Accounts 00:02:00 Section 06: Administration of Microsoft Office 365 Licenses and Service View M365 Licenses Details 00:04:00 View M365 License's Services Details 00:03:00 View Licensed and Unlicensed User's Details 00:03:00 Assign Licenses to Single User Account (Newer AzureAD Module) 00:07:00 Assign Licenses to Single User Account (Older AzureAD Module) 00:02:00 Assign Licenses to Multiple User Account 00:02:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
Build real-world MVC applications using Repository Pattern, N-Tier Architecture, APIs, Entity Framework Core and ASP.NET MVC Core 3.1