5527 Software courses in Coventry delivered Online

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. 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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Duration 5 Days 30 CPD hours This course is intended for This course is designed for Java developers who want to learn more about the specifications that comprise the world of Java Enterprise Edition (Java EE), Proficiency in developing Java SE applications, with 2+ years of experience required, Proficiency in using an IDE such as Red Hat Developer Studio or Eclipse, Experience with Maven is recommended but not required. Overview Red Hat Application Development I: Programming in Java EE Virtual Training exposes experienced Java Standard Edition (Java SE) developers to the world of Java Enterprise Edition (Java EE). As an experienced Java Standard Edition (Java SE) developer, this course introduces you to the world of Java Enterprise Edition (Java EE). You will learn about the various specifications that make up Java EE. Through hands-on labs, you will transform a simple Java SE command line application into a multi-tiered enterprise application using various Java EE specifications, including Enterprise Java Beans, Java Persistence API, Java Messaging Service, JAX-RS for REST services, Contexts and Dependency Injection (CDI), and JAAS for securing the application. This course is based on Red Hat© Enterprise Application Platform 7.0. 1 - TRANSITION TO MULTI-TIERED APPLICATIONS Describe Java EE features and distinguish between Java EE and Java SE applications. 2 - PACKAGE AND DEPLOY APPLICATIONS TO AN APPLICATION SERVER Describe the architecture of a Java EE application server, package an application, and deploy the application to an EAP server. 3 - CREATE ENTERPRISE JAVA BEANS Develop Enterprise Java Beans, including message-driven beans. 4 - MANAGE PERSISTENCE Create persistence entities with validations. 5 - MANAGE ENTITY RELATIONSHIPS Define and manage JPA entity relationships. 6 - CREATE REST SERVICES Create REST APIs using the JAX-RS specification. 7 - IMPLEMENT CONTEXTS AND DEPENDENCY INJECTION Describe typical use cases for using CDI and successfully implement it in an application. 8 - SECURE JAVA EE APPLICATIONS Use JAAS to secure a Java EE application. 9 - SECURE JAVA EE APPLICATIONS Use JAAS to secure a Java EE application. 10 - COMPREHENSIVE REVIEW OF RED HAT JBOSS DEVELOPMENT I: JAVA EE Demonstrate proficiency of the knowledge and skills obtained during the course. Additional course details: Nexus Humans Red Hat Application Development I: Programming in Java EE (AD183) 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 Red Hat Application Development I: Programming in Java EE (AD183) 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.

The NLP Practitioner Training Course is your gateway to mastering the art of communication, helping you influence both yourself and others in a positive and effective way. Using Neuro-Linguistic Programming (NLP), you will learn techniques that enhance your understanding of human behaviour and thought processes. NLP is often used to build better relationships, manage stress, and boost confidence. Through this course, you’ll gain the tools to unlock the full potential of your mind, allowing you to navigate life's challenges with a more grounded and practical mindset. This training course delves deep into the principles of NLP, offering insights into how language, perception, and behaviour are interconnected. Whether you're looking to improve your professional interactions, personal relationships, or gain a deeper understanding of how your mind works, this course offers valuable skills to transform your approach to communication. Learn at your own pace and discover how to apply NLP techniques effectively to achieve greater clarity and results in your day-to-day life. It’s time to take control of your mental programming and sharpen your ability to influence, connect, and grow. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 1: Introduction to NLP Module 2: NLP Communication Model Module 3: NLP Coaching Model Module 4: NLP Presuppositions and Beliefs Module 5: NLP Techniques for Personal Change Module 6: NLP Strategies for Effective Communication Module 7: Advanced NLP Techniques Module 8: NLP Applications Module 9: NLP Practitioner Certification Learning Outcomes: Develop powerful communication strategies for personal and professional success. Master techniques for personal change and growth, enhancing life satisfaction. Apply advanced NLP strategies to enhance decision-making and problem-solving skills. Gain proficiency in coaching, unlocking the potential to guide others effectively. Acquire a deep understanding of NLP applications across various domains. Attain a recognised NLP Practitioner Certification, validating your expertise. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking personal growth and effective communication skills. Professionals aiming to enhance their coaching and leadership abilities. Anyone interested in mastering NLP techniques for positive life changes. Team leaders looking to improve team dynamics and collaboration. Entrepreneurs wanting to refine their communication and negotiation skills. Psychologists or therapists seeking additional tools for client engagement. Career changers exploring new opportunities in personal development. Educators interested in applying NLP principles in teaching and training. Career path Life Coach Communication Consultant Human Resources Specialist Personal Development Trainer Sales and Marketing Strategist Education and Training Facilitator Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Duration 2 Days 12 CPD hours This course is intended for Application developers who want to increase their understanding of Spring and Spring Boot and a focus on fundamentals. Overview By the end of the course, you should be able to meet the following objectives: Describe the benefits provided by Spring Boot Initialize a project using Spring Boot Starters Leverage Spring Boot's auto configuration features Create simplified backing-store solutions using Spring Data JPA Build a simple MVC application using Spring Boot, embedded Web Server and fat JARs or classic WARs Build a RESTful Web application Use Spring Security to secure Web and REST endpoints Enable and extend metrics and monitoring capabilities using Spring Boot actuator Leverage advance configuration capabilities Utilize Spring Boot enhancements to testing This course offers experience with Spring Boot and its major features, including auto-configuration, Actuator, Spring Boot testing framework and more. On completion, participants will have a foundation for creating enterprise and cloudready applications. Please note that this course is a subset of the material in our 4-day Spring: Core Training course - there is no need to take both courses. This course is recommended if you have a good working knowledge of Spring Basics (see Prerequisites) but are new to Spring Boot. Introduction to Spring Essentials Why Spring Configuration using Spring Bean creation Data Management Spring Boot Introduction Introduction to Spring Boot Features Value Proposition of Spring Boot Creating a simple Boot application using Spring Initializer website Spring Boot Dependencies, Auto-configuration, and Runtime Dependency management using Spring Boot starters How auto-configuration works Configuration properties Overriding auto-configuration Using CommandLineRunner JPA with Spring and Spring Data Quick introduction to ORM with JPA Benefits of using Spring with JPA JPA configuration in Spring Configuring Spring JPA using Spring Boot Spring Data JPA dynamic repositories Spring MVC Architecture and Overview Introduction to Spring MVC and request processing Controller method signatures Using @Controller, @RestController and @GetMapping annotations Configuring Spring MVC with Spring Boot Spring Boot packaging options, JAR or WAR Rest with Spring MVC An introduction to the REST architectural style Controlling HTTP response codes with @ResponseStatus Implementing REST with Spring MVC, @RequestMapping, @RequestBody and @ResponseBody Spring MVC?s HttpMessageConverters and automatic content negotiation Spring Security What problems does Spring Security solve? Configuring authentication Implementing authorization by intercepting URLs Authorization at the Java method level Understanding the Spring Security filter chain Spring security testing Actuators, Metrics and Health Indicators Exposing Spring Boot Actuator endpoints Custom Metrics Health Indicators Creating custom Health Indicators External monitoring systems Spring Boot Testing Enhancements Spring Boot testing overview Integration testing using @SpringBootTest Web slice testing with MockMvc framework Slices to test different layers of the application

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Discover the fundamentals of user experience (UX) design in this comprehensive course. Delve into the principles and methodologies that drive effective UX design, including usability, interaction design, and user research.

Embark on a transformative journey into the realm of emotional mastery with our course, 'Dialectical Behaviour Therapy (DBT) for Emotional Well-being'. This enlightening voyage through the intricacies of DBT will not only illuminate the path to personal emotional regulation but also equip you with the skills to facilitate others in their journey towards emotional well-being. Your exploration begins with an in-depth introduction to DBT, guiding you through its foundational principles and establishing a robust platform upon which to build your therapeutic skills. As you traverse through the carefully crafted modules, you'll delve into the core skills of mindfulness, emotion regulation, interpersonal effectiveness, and distress tolerance, each a vital beacon in the DBT landscape. These pillars of DBT are not merely theoretical constructs but practical tools, designed to be applied in real-world scenarios, ensuring that individuals can navigate through the emotional tumult of life with grace and resilience. Your journey will also guide you through the application of DBT across various populations, ensuring a versatile and adaptable therapeutic skill set. Learning Outcomes Understand and apply the foundational principles and techniques of dialectical behaviour therapy. Utilise mindfulness, emotion regulation, interpersonal effectiveness, and distress tolerance skills in therapeutic contexts. Implement DBT strategies effectively across various populations and diverse emotional challenges. Apply DBT in clinical settings, ensuring therapeutic interventions are both relevant and impactful. Navigate through ethical and professional considerations, ensuring DBT practice is conducted with integrity and adheres to professional standards. Why buy this Dialectical Behaviour Therapy (DBT) for Emotional Well-being? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success Who is this Dialectical Behaviour Therapy (DBT) for Emotional Well-being for? Individuals seeking personal emotional mastery and well-being through DBT. Mental health professionals aspiring to expand their therapeutic toolkit with DBT. Social workers desiring to provide enhanced emotional support to their clients. Counsellors looking to diversify their therapeutic approaches with validated techniques. Psychology students wishing to deepen their understanding and application of therapeutic modalities. Career path DBT Therapist: £30,000 - £45,000 Mental Health Counsellor: £23,000 - £40,000 Clinical Psychologist: £39,000 - £82,000 Social Worker: £25,000 - £40,000 Psychotherapist: £26,000 - £48,000 Mental Health Nurse: £25,000 - £35,000 Prerequisites This Dialectical Behaviour Therapy (DBT) for Emotional Well-being does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 1: Introduction to DBT Introduction to DBT 00:19:00 Module 2: Mindfulness Skills Training Mindfulness Skills Training 00:20:00 Module 3: Emotion Regulation Skills Emotion Regulation Skills 00:19:00 Module 4: Interpersonal Effectiveness Skills Interpersonal Effectiveness Skills 00:16:00 Module 5: Distress Tolerance Skills Distress Tolerance Skills 00:26:00 Module 6: Application of DBT in Specific Populations Application of DBT in Specific Populations 00:29:00 Module 7: Implementation of DBT in Clinical Settings Implementation of DBT in Clinical Settings 00:28:00 Module 8: Ethical and Professional Considerations in DBT Practice Ethical and Professional Considerations in DBT Practice 00:19:00

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