888 Library courses delivered Online

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for administrators and engineers. Overview What you'll learn: Understand the differences between Citrix Virtual Apps and Desktops 2203 LTSR on-premises and the Citrix DaaS. Install, configure, and manage Citrix Cloud Connectors. Deploy and manage Virtual Delivery Agent machines to on-premises resource locations as well as in Microsoft Azure using MCS. Integrate Citrix Cloud and Citrix Virtual Apps and Desktops 2203 LTSR with Microsoft Azure Active Directory. Provide remote access with Citrix StoreFront and Citrix Gateway on Microsoft Azure. In this course you will learn how to create a new Citrix DaaS deployment on Citrix Cloud, with a resource location on Microsoft Azure. You will also learn how to migrate to Citrix DaaS from an on-premises Citrix Virtual Apps and Desktops Site. Get hands-on as the course guides you through the architecture, communications, management, installation, and configuration of Citrix DaaS on Citrix Cloud and a Microsoft Azure resource location that will host apps and desktops for your users. This course is a necessary step in enabling you with the right training and skills, to not only understand, manage, and deliver successfully, but also to make well-informed planning decisions along the way. Module 1: Introduction to Citrix DaaS New Citrix Workspace Packaging Citrix Virtual Apps and Desktops - On-Premises Site What is Citrix Cloud? Why Citrix DaaS? What is a Migration from Citrix Virtual Apps and Desktops to Citrix DaaS? Citrix Cloud Administration Module 2: Planning - Citrix DaaS Architecture, Security, and Operations Architecture and Deployment Options Citrix DaaS Security Citrix DaaS Operations Module 3: Planning - Citrix Cloud Connectors Cloud Connector Architecture Cloud Connector Services and Communications Overview Cloud Connector Operations in a Resource Location Cloud Connector Resiliency Installing, Updating, and Removing Cloud Connectors Supported Domain Scenarios for Cloud Connectors Securing Cloud Connector Communications Local Host Cache (LHC) Citrix Cloud Connector vs Delivery Controller Operations Module 4: Planning - Citrix DaaS Resource Locations Citrix DaaS Resource Locations Citrix DaaS Hosting Connections Zones Module 5: Active Directory, Authentication, and Authorization Active Directory Design Options Desktops from Non-Domain Joined VDAs Citrix Federated Authentication Service and Identity Provider Services Module 6: Planning - Provisioning VDA Workloads and Delivering Resources Master Images Machine Creation Services (MCS) in Citrix DaaS Citrix Provisioning in Citrix DaaS Machine Catalogs Delivery Groups Citrix Cloud Library Module 7: Planning - Provide Access in Citrix Cloud Selecting Between Citrix digital workspace experience and StoreFront Citrix StoreFront and Citrix digital workspace experience Communications Selecting Between Citrix Gateway Service and On-Premises Citrix Gateway Access Layer Communications User Authentication Module 8: Planning - Citrix DaaS Administration Citrix Cloud Manage and Monitor Delegated Administration Citrix DaaS Remote PowerShell Software Development Kit Manage Multiple Resource Locations Module 9: Planning - Public Cloud Considerations General Public Cloud Considerations Using Autoscale to Power Manage Machines in a Public Cloud Microsoft Azure as a Citrix DaaS Resource Location Amazon Web Services as a Citrix DaaS Resource Location Google Cloud as a Citrix DaaS Resource Location Module 10: Planning - Migrating to Citrix DaaS from Citrix Virtual Apps and Desktops Citrix Cloud Migration Options and Considerations Citrix Automated Configuration Tool Citrix Image Portability Service Module 11: Manage - Operations and Support in Citrix Cloud Citrix Cloud Connector Support Updating and Rolling Back Machine Catalogs VDA Restore Citrix Self-Help Strategy Monitor Your Environment Module 12: Introduction to Citrix DaaS on Microsoft Azure Partnering for Success Module 13: Planning - Citrix DaaS Resource Location on Microsoft Azure Overview of Citrix DaaS Components Creating a Citrix DaaS Deployment Overview Module 14: Planning - Microsoft Azure Overview Azure Virtual Network Structure Azure Virtual Network Connectivity Azure Virtual Resources Azure Active Directory Identity and Access Management Azure Active Directory Options and Considerations Module 15: Planning - Deploying Citrix DaaS on Microsoft Azure Citrix DaaS Resource Locations in Azure Citrix DaaS Components in Azure Creating and Managing Workloads in an Azure Resource Location Module 16: Planning - Provide Access to End Users Providing Access to Resources in Citrix Cloud Citrix Gateway Deployment Options Deploying Citrix Gateway or ADC in Azure GSLB and StoreFront Optimal Gateway in Hybrid Environments Module 17: Rollout - Citrix DaaS Deployment on Microsoft Azure Citrix Workspace App Rollout Preparing Migration of End-Users to Workspace Platform Module 18: Managing - Citrix DaaS Workloads on Microsoft Azure Maintaining Citrix Gateway Backup and Monitoring in Azure Maintaining Master Images in Azure Monitoring VDAs in Manage Console and Azure Module 19: Optimize - Citrix DaaS on Microsoft Azure Managing Azure Costs Using Azure Pricing Calculator - Instructor Demo Additional course details: Nexus Humans CWS-252 Citrix DaaS Deployment and Administration on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CWS-252 Citrix DaaS Deployment and Administration on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level, fast-paced course is for skilled web developers new to React who have prior experienced working HTML5, CSS3 and JavaScript. Overview Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore: A basic and advanced understanding of React components An advanced, in-depth knowledge of how React works A complete understanding of using Redux How to build, validate, and populate interactive forms How to use inline styles for perfect looking components How to test React components How to build and use components How to get control of your build process A deep understanding of data-driven modeling with props and state How to use client-side routing for pages in your apps How to debug a React application Mastering React is a comprehensive hands-on course that aims to be the single most useful resource on getting up to speed quickly with React. Geared for more experienced web developers new to React, this course provides students with the core knowledge and hands-on skills they require to build reliable, powerful React apps. After the first few modules, you?ll have a solid understanding of React?s fundamentals and will be able to build a wide array of rich, interactive web apps with the framework. The first module is an introduction to the new functionality in ECMAScript 6 (JavaScript). Client-side routing between pages, managing complex state, and heavy API interaction at scale are also covered. This course consists of two parts. In the first part of the course students will explore all the fundamentals with a progressive, example-driven approach. You?ll create your first apps, learn how to write components, start handling user interaction, and manage rich forms. We end the first part by exploring the inner workings of Create React App (Facebook?s tool for running React apps), writing automated unit tests, and building a multi-page app that uses client-side routing. The latter part of the course moves into more advanced concepts that you?ll see used in large, production applications. These concepts explore strategies for data architecture, transport, and management: Redux is a state management paradigm based on the Flux architecture. Redux provides a structure for large state trees and allows you to decouple user interaction in your app from state changes. GraphQL is a powerful, typed, REST API alternative where the client describes the data it needs. Hooks is the powerful, new way to maintain state and properties with functional components and the future of React according to Facebook. ES6 Primer (Optional) Prefer const and let over var Arrow functions Modules Object.assign() Template literals The spread operator and Rest parameters Enhanced object literals Default arguments Destructuring assignments Your first React Web Application Setting up your development environment JavaScript ES6 /ES7 Getting started What?s a component? Our first component Building the App Making the App data-driven Your app?s first interaction Updating state and immutability Refactoring with the Babel plugin transform-class-properties JSX and the Virtual DOM React Uses a Virtual DOM Why Not Modify the Actual DOM? What is a Virtual DOM? Virtual DOM Pieces ReactElement JSX JSX Creates Elements JSX Attribute Expressions JSX Conditional Child Expressions JSX Boolean Attributes JSX Comments JSX Spread Syntax JSX Gotchas JSX Summary Components A time-logging app Getting started Breaking the app into components The steps for building React apps from scratch Updating timers Deleting timers Adding timing functionality Add start and stop functionality Methodology review Advanced Component Configuration with props, state, and children ReactComponent props are the parameters PropTypes Default props with getDefaultProps() context state Stateless Components Talking to Children Components with props.children Forms Forms 101 Text Input Remote Data Async Persistence Redux Form Modules Unit Testing & Jest Writing tests without a framework What is Jest? Using Jest Testing strategies for React applications Testing a basic React component with Enzyme Writing tests for the food lookup app Writing FoodSearch.test.js Routing What?s in a URL? React Router?s core components Building the components of react-router Dynamic routing with React Router Supporting authenticated routes Intro to Flux and Redux Why Flux? Flux is a Design Pattern Flux implementations Redux & Redux?s key ideas Building a counter The core of Redux The beginnings of a chat app Building the reducer() Subscribing to the store Connecting Redux to React Intermediate Redux Using createStore() from the redux library Representing messages as objects in state Introducing threads Adding the ThreadTabs component Supporting threads in the reducer Adding the action OPEN_THREAD Breaking up the reducer function Adding messagesReducer() Defining the initial state in the reducers Using combineReducers() from redux React Hooks Motivation behind Hooks How Hooks Map to Component Classes Using Hooks Requires react 'next' useState() Hook Example useEffect() Hook Example useContext() Hook Example Using Custom Hooks Using Webpack with Create React App JavaScript modules Create React App Exploring Create React App Webpack basics Making modifications Hot reloading; Auto-reloading Creating a production build Ejecting Using Create React App with an API server When to use Webpack/Create React App Using GraphQL Your First GraphQL Query GraphQL Benefits GraphQL vs. REST GraphQL vs. SQL Relay and GraphQL Frameworks Chapter Preview Consuming GraphQL Exploring With GraphiQL GraphQL Syntax 101 . Complex Types Exploring a Graph Graph Nodes ; Viewer Graph Connections and Edges Mutations Subscriptions GraphQL With JavaScript GraphQL With React

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

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Learn about automated software testing with Python, BDD, Selenium WebDriver, and Postman, focusing on web applications

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

MEWP OPERATOR ELEARNING IPAF’s eLearning for MEWP operators is available for all MEWP categories (1a, 1b, 3a, 3b) and takes around three hours to complete. The eLearning is broken down into manageable sections that you can complete at your own pace and can save and resume your training at any time. IPAF MEWP Operator eLearning training course is available in English, Dutch, French, German, Italian, Portuguese and Spanish.

Register on the Web Design in Affinity Designer today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Web Design in Affinity Designer is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. 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 Web Design in Affinity Designer 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 Web Design in Affinity Designer, 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 Module 01: Introduction Introduction to the course 00:02:00 Module 02: The Fundamentals What is Affinity Designer and how to set it up for web design? 00:03:00 Affinity Designer's web design abilities 00:09:00 Module 03: Top 10 principles of good web design First 5 principles of good web design 00:04:00 The remaining 5 principles of good web design 00:05:00 Module 04: How to choose the right colours to design stunning websites The most important factor to consider before choosing colours 00:04:00 Mix colours for the best possible User Experience 00:05:00 Choose the 'psychologically right' colours 00:05:00 Easy tools for choosing errorproof colour schemes 00:07:00 Module 05: Typography in web design A super short history of web typography 00:03:00 Choose the right fonts for body text 00:05:00 Choose the right fonts for headings 00:04:00 Mix fonts for headings and body text 00:04:00 The perfect font for User Interface design 00:03:00 Module 06: How is a typical website built? Header, branding, navigation and Hero sections. 00:04:00 The centre and bottom sections of your website design 00:04:00 What are grids and how to use them 00:03:00 Design your very own grid 00:04:00 Module 07: Web design trends 1-7 web design trends that rule the web design world 00:09:00 Where to find the RIGHT inspiration for your next design 00:02:00 Module 08: The Preparation Stage Every website design needs scaffolding 00:03:00 Building your wireframe in Designer 00:05:00 Continue building the library 00:10:00 Use the assets to create a wireframe 00:11:00 Wireframing online 00:04:00 Talk about images and icons 00:06:00 Create font styles in Affinity Designer 00:04:00 Module 09: The Design Process The Design Part Overview 00:06:00 Create the Colour Swatches 00:04:00 Create the Text Styles 00:08:00 Take a Look at the Icons and Images 00:03:00 Module 10: Creating the Header Start with Creating the Logo 00:03:00 Build the Menu Links 00:04:00 Add the Social Media Icons 00:07:00 Module 11: Creating the Hero Start by Adding the Main Image 00:07:00 Quickly Resize the Image 00:03:00 Make the Image a Bit Darker 00:03:00 Add the Main Text 00:05:00 Add the Slider Navigation 00:04:00 Module 12: Let's Create the Smartphone Icon Start Creating the First Featured Section 00:04:00 Add the Featured Items 00:10:00 Add the Second Featured Item Section 00:06:00 Module 13: Creating the From Our Blog Section Start Creating the Blog Section 00:08:00 Replace the Images 00:03:00 Module 14: Creating the Gallery and the Footer Start Building the Image Gallery 00:07:00 Create the First Column of the Footer 00:04:00 Finish the Design and the Whole Footer 00:04:00 Module 15: How to Design a Modern Blog Affinity Designer Discover the Wireframe for the Design 00:06:00 Discover the Blog Design 00:06:00 Take a Look at Our Assets 00:06:00 Module 16: Create the Blog Header Create the Logo and Nav 00:08:00 Add the Social Media Icons 00:07:00 Module 17: Create the Blog Header Add the First Images 00:07:00 Add the Shading to the Images 00:08:00 Add the Navigation Buttons 00:05:00 Module 18: Let's Create a Container the Blog Post Create a Container the Blog Post 00:05:00 Add the First Pieces of Text 00:04:00 Add the Remaining Pieces of Text 00:06:00 Module 19: Creating the Blog Post Grid Start Creating the Blog Post Grid 00:06:00 Create the First Blog Post Card 00:05:00 Add the Remaining Cards 00:07:00 Add the Older Post Link 00:04:00 Module 20: Create the Sidebar Explore the Sidebar Project 00:03:00 Create the Search Box 00:04:00 Create the About Me Section 00:07:00 Create the Text Section of the Sidebar 00:05:00 Create the First Container for the Most Popular Posts 00:04:00 Create the List of the Most Popular Blog Posts 00:07:00 Create the Ads Section 00:03:00 Module 21: Create the Blog Footer Start Creating the Footer 00:04:00 Explore Different Footer Concepts 00:03:00 Finish Creating the Footer 00:07:00 Module 22: Create the Single Post Design Explore the Single Post Design 00:03:00 Create the Featured Image and the Post Container 00:06:00 Module 23: Create the Blog Post Area Add the Blog Post Title 00:06:00 Add the Paragraphs and Images 00:10:00 Add the Social Media Icons 00:06:00 Add the pre-Next Post Navigation 00:08:00 Add the Related Posts Section 00:07:00 Module 24: Create the Comments Section Start Creating the Comments Section 00:05:00 Create the Texts for the Comments 00:06:00 Create the Post Comment Form 00:09:00 Module 25: Finalizing the design Delivering the design to the client 00:04:00 Delivering the file to the developer 00:03:00 Use the Export Persona to Export the Assets in Bulk 00:02:00 Thanks for Watching the Course 00:01:00 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.

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.