839 Interpreting courses

Discover the powerful schedule and cost risk analysis features of PRA. Course overview Duration: 2 days (13 hours) Our Primavera Risk Analysis course gives a detailed introduction to the schedule and risk analysis features of Primavera Risk Analysis. It shows the powerful features of the tool and give hands on practice throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Primavera Risk Analysis, and no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import schedules into PRA Add three point estimates onto plans Perform schedule and cost analysis Use templated quick risk Run risk analysis Interpret results from the Risk Histogram and Tornado graph Add task percentiles to a Gantt chart Set up a risk register Add qualitative and quantitative risks Link risk to activities in the plan Create reports Use the Distribution Analyser Content Importing schedules Importing MSP and Primavera Schedules Running import checks Checking schedule integrity Schedule risk analysis 3 point estimating Entering uncertainly Different distributions Using quick risk Updating plan Importing plans with 3 point estimates Cost/Resource uncertainty Resource loadings Creating 3 point cost estimates Resource distributions and escalations Simple cost estimates Templated quick risk Setting up and applying templated quick risk Assessing risk at WBS level Running risk analysis Running risk analysis Interpreting results on the Risk Histogram Setting analysis options Task percentiles Setting task percentile options Including task percentiles on the Gantt chart Tornado graph Creating a Tornado graph Viewing sensitivity Analysing sensitivity against activities Setting up the risk register Setting Schema levels Defining criteria and tolerances Setting up a Risk Breakdown Structure (RBS) Working with manageability and proximity Saving scoring matrices Adding custom fields Exporting data Exporting to Excel, Word and PowerPoint Qualitive risks Setting risk IDs Adding risk cause, description and effect Setting up risk details Entering mitigation actions Quantitative risks Linking risks to activities Adding schedule and cost impacts Defining how multiple risks impact Correlation Migrating your plan Adding mitigation actions to your plan as tasks Linking tasks to mitigation actions Actioning your risk register Progressing risks Importing progressed plans Linking register to progressed plans Risk history The Waterfall chart Saving and reporting Exporting the risk register Running reports Creating new reports Building and comparing risk plans Using the distribution analyser Comparing dates and cost

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions on AWS 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 AWS Developing Serverless Solutions on AWS 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.

From tackling cross-cutting project concerns with Spring to integrating Spring JDBC to work with databases, this course teaches you the essentials you need to know to confidently use the Spring framework container in the workplace.

Description: Adobe Premiere Pro CC is a robust, customizable, nonlinear video editor program. We are offering you a high-quality, comprehensive certificate course designed to help you master the techniques of Adobe Premiere Pro CC. Getting started with Adobe Premiere Pro CC might be difficult for amateurs, however, this course will certainly help you in making it accessible and approachable. From newbie to seasoned online entrepreneur can benefit from this process to learn editing videos in Adobe Premiere Pro. Through this Adobe Premiere Pro CC 2017 Complete Training course, you will introduce to the fundamental editing techniques, and learn the various panel windows to editing clips together, including audio work, creating sequence presets, titles, keyboard shortcuts, colour correction, exporting media and much more. Upon completion of the course, you will be able to get started with Adobe's video editing program and create appealing visual and audio stories like a pro. Who is the course for? You are a video creator (or want to make videos), and are wanting to edit videos with THE BEST video editing application today. You might know how to edit with Final Cut, iMovie, Sony Vegas, Premiere Elements, Windows Movie Maker, Camtasia, Screenflow, etc. But you want to transition to editing with Premiere Pro. You are a complete beginner who has never opened Premiere Pro (or have never learned how to use it properly). You have played around with Premiere Pro, but need some help becoming a more efficient editor. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Adobe Premiere Pro CC 2017 Complete Training 0 Adobe Premiere Pro CC Course Promo FREE 00:02:00 Introduction 1.1 Premuere Pro Course Intro - UPDATED 1 00:02:00 1.2 Quick Win - Stabilize ShakyVideo 00:04:00 1.2 Starting a New Project and Premiere Pro Orientation - UPDATE 1 00:13:00 1.3 Importing and Organizing 00:07:00 1.4 Quick win n_ Stablize your Videos 00:03:00 1.5 OPTIONAL - Use Media Browser to import Clips 00:02:00 Editing Your Video 2.1 Starting a New Sequence and Understanding the Timeline - UPDATE 1 00:06:00 2.2 Adding Clips to the Timeline, Syncing Footage, and Making Selects 00:12:00 2.3 Exercise - Syncing Video and Audio - UPDATE 1 00:01:00 2.4 Exercise Review - Syncing Video and Audio - UPDATE 1 00:03:00 2.5 Editing Tools 00:16:00 2.6 Adding bRoll Footage to Your Video 00:11:00 2.7 Adjusting Clip Size and Position - UPDATE 1 00:04:00 2.8 REVIEW Adjusting Clip Size and Position - UPDATE 1 00:00:00 2.9 Bonus - Editing Down an Interview - UPDATE 1 00:35:00 PP 2.10 Editing a Narrative Scene 00:11:00 Adding Video and Audio Transitions 3.1 Course Check In 00:01:00 3.2 Adding Video Transitions - UPDATE 1 00:08:00 3.3 Review Video Transitions - UPDATE 1 00:02:00 3.4 Adding Audio Transitions - UPDATE 1 00:04:00 3.5 Exercise - Create a Custom Blur Transition 00:07:00 PP 3.6 Trouble with Transitions 00:07:00 Adding Titles in Premiere Pro CC 2017.2 and 2018 4.1 Adding and Editing Titles 00:08:00 4.2 Create a Clean Lower Third Title 00:06:00 4.3 Create Scrolling End Credits 00:04:00 4.4 Exercise - Design Your Own Lower Third Titles 00:01:00 4.5 Exercise Review - Design Your Own Lower Third Titles 00:11:00 Adding Titles in Premiere Pro CC 2017.1 and Older 5 Tips for Beginner Video Editors 00:08:00 5.1 Adjusting Audio Levels in Premiere Pro 00:10:00 5.2 Adjusting Audio Channels 00:05:00 5.3 Fixing Audio with the Low and High Pass Filters 00:04:00 5.4 Improving Audio with EQ (Equalization) 00:08:00 5.5 Adjusting Audio Tracks with Effects 00:02:00 5.6 Exercise - Fixing Bad Audio 00:01:00 5.7 Exercise Review - Remove Bad Background Noise 00:05:00 5.8 Adding Music to Your Project and Making a Song Shorter 00:11:00 5.9 Easily Removing Background Noise with Audacity 00:05:00 Editing Audio PP 6.1 Color Correction with Lumetri Basics 00:09:00 PP 6.2 Exercise - Fix White Balance UPDATE 00:01:00 PP 6.3 Exercise Review - Fix White Balance UPDATE 00:03:00 PP 6.4 Creative Tab - Lumetri Color 00:06:00 PP 6.5 Curves Tab - Lumetri Color 00:04:00 PP 6.6 Color Wheels - Lumetri Color 00:02:00 PP 6.7 HSL Secondary - Lumetri Color 00:04:00 PP 6.8 Vignette - Lumetri Color 00:03:00 PP 6.9 Exercise - Matching Exposure 00:01:00 Color Correction and Grading 7.1 Adding Motion to Title Graphics 00:05:00 7.2 Add the Ken Burns Effect to Photos 00:02:00 7.3 Exercise - Add Motion to Video to Make it More Dynamic 00:01:00 7.4 Exercise Review - Add Motion to Video to Make it More Dynamic 00:06:00 7.5 OPTIONAL Adding Motion to Screenshots 00:08:00 Motion in Premiere Pro 8.1 Exporting a High-Quality, Small File-Size Video 00:09:00 PP 8.2 OPTIONAL - Export Settings - In Depth Review 00:12:00 8.3 Export a Full Resolution Video 00:01:00 8.4 Exporting Small File-Size Preview Video 00:02:00 8.5 Practice Exercise - Finish Course Project 00:01:00 Exporting Your Video 9.1 Adding and Adjusting Effects to Your Video Clips 00:07:00 9.2 Adjusting Effects with Keyframes 00:05:00 9.3 Using Lumetri Color Presets 00:04:00 9.4 Stabilize Shaky Footage with Warp Stabilizer 00:05:00 9.5 Exercise - Stabilize Shaky Video 00:01:00 9.6 Exercise Review - Stabilize Shaky Video 00:03:00 9.7 Make Footage More Cinematic with Overlays 00:07:00 9.8 Capture Still Images from Video 00:02:00 9.9 EXERCISE - Remove Noise and Grain from Video Clip UPDATED 00:07:00 Visual Effects and Advanced Premiere Pro Tips 10.1 Adjusting Clip Speed 00:05:00 10.2 Time Remapping and Speed Ramps 00:04:00 10.3 Slow Motion Video By Interpreting Frame Rates 00:02:00 10.4 Exercise - Speed Ramps 00:01:00 10.5 Exercise Review - Speed Ramps 00:01:00 Green Screen Editing - Chromakeying in Premiere Pro 11.1 Green Screen Tutorial (ChromaKeying) in Premiere Pro 00:08:00 11.2 Adding a Background to Green Screen Video 00:06:00 Conclusion 12.1 Conclusion 00:01:00 Resource Files Resource Files - Adobe Premiere Pro CC 2017 Complete Training 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

BSL and British Sign Language: BSL and British Sign Language Course Are you interested in learning more about the BSL and British Sign Language Course? The most recent knowledge about (BSL) British Sign Language Course and its legal and medical intelligence is incorporated into our course design. Several lessons in our BSL and British Sign Language Course provide a thorough introduction to BSL. This (BSL) British Sign Language Course explains fundamental vocabulary and phrases as well as fingerspelling. The (BSL) British Sign Language Course also provides an explanation of connections, families, and numerals. Details on foods, animals, and colours are also included in this BSL and British Sign Language Course. The (BSL) British Sign Language Course includes advanced vocabulary, grammar, and syntax. Through the (BSL) British Sign Language Course, you will have a thorough understanding of how to enhance your conversational abilities, deaf culture, storytelling, and narrative. Furthermore, this lesson from the (BSL) British Sign Language Course includes modules on poetry, literature, regional variances, and interpreting. Enrol our BSL and British Sign Language Course to be able to communicate in (BSL) British Sign Language Course more deeply. Main Course: BSL and British Sign Language Course Free Courses included with BSL and British Sign Language: BSL and British Sign Language Course: Along with BSL and British Sign Language Course you will get free Speech & Language Course Along with BSL and British Sign Language Course you will get free SEN Teaching Assistant Course Special Offers of this BSL and British Sign Language: BSL and British Sign Language Course: This BSL and British Sign Language: BSL and British Sign Language Course includes a FREE PDF Certificate. Lifetime access to this BSL and British Sign Language: BSL and British Sign Language Course Instant access to this BSL and British Sign Language: BSL and British Sign Language Course 24/7 Support Available to this BSL and British Sign Language: BSL and British Sign Language Course BSL and British Sign Language: BSL and British Sign Language Course Several lessons in our (BSL) British Sign Language Course course provide a thorough introduction to BSL. This (BSL) British Sign Language Course explains fundamental vocabulary and phrases as well as fingerspelling. The (BSL) British Sign Language Course also provides an explanation of connections, families, and numerals. Details on foods, animals, and colours are also included in this (BSL) British Sign Language Course. The (BSL) British Sign Language Course includes advanced vocabulary, grammar, and syntax. Through the (BSL) British Sign Language Course, you will have a thorough understanding of how to enhance your conversational abilities, deaf culture, storytelling, and narrative. Furthermore, this lesson from the (BSL) British Sign Language Course includes modules on poetry, literature, regional variances, and interpreting. Who is this course for? BSL and British Sign Language: BSL and British Sign Language Course This BSL and British Sign Language: BSL and British Sign Language Course is ideal for anyone interested in working in HR and Payroll Management, as well as anyone wishing to advance to the management level. Requirements BSL and British Sign Language: BSL and British Sign Language Course To enrol in this BSL and British Sign Language: BSL and British Sign Language Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our BSL and British Sign Language Course. Be energetic and self-motivated to complete our BSL and British Sign Language Course. Basic computer Skill is required to complete our BSL and British Sign Language Course. If you want to enrol in our BSL and British Sign Language Course, you must be at least 15 years old. Career path BSL and British Sign Language: BSL and British Sign Language Course This BSL and British Sign Language: BSL and British Sign Language Course is intended to help you expand your knowledge and comprehension of this field.

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

Course Overview The Dog Behaviour and Training course offers a comprehensive insight into canine psychology, behaviour management, and effective training techniques. Designed to build confidence and understanding, this course equips learners with the knowledge needed to address common dog behaviours and establish positive habits. Through focused modules, participants will develop skills in interpreting dog body language, managing feeding behaviours, addressing separation anxiety, and conducting training consultations. Whether supporting pet owners or advancing towards a professional role, learners will emerge with the ability to apply behavioural theories and strategies in real-world settings. By the end of the course, participants will understand how to create positive environments for dogs and promote lasting behavioural change, making them valuable assets in both domestic and professional contexts. Course Description The Dog Behaviour and Training course delves into the fascinating world of canine behaviour, offering learners a structured exploration of topics such as food aggression, appropriate greeting methods, and separation anxiety management. Learners will gain insights into interpreting dog communication signals, answering common client questions, and guiding puppy development. The course also covers consultation practices, preparing participants to engage confidently with dog owners seeking advice. Designed to foster a deep understanding of behavioural patterns, the curriculum blends theoretical frameworks with real-world applications, ensuring that learners develop a well-rounded skill set. By completing this course, individuals will strengthen their ability to assess behavioural issues, recommend appropriate training strategies, and support the welfare and development of dogs across various settings. Course Modules Module 01: Introduction Module 02: Feeding Time - Aggression and Stealing Food Module 03: The Right Way to Greet a Dog Module 04: Separation Anxiety Module 05: Dog Language - What They're Really Saying! Module 06: The Answers To 10 Popular Dog Questions You Are Likely To Be Asked Module 07: The Answers To 10 Common Puppy Training Questions That You'll Likely To Be Asked Module 08: Dog Training Consultations With Clients (See full curriculum) Who is this course for? Individuals seeking to build a deeper understanding of dog behaviour and training techniques. Professionals aiming to expand their expertise in animal behaviour consultancy or dog training services. Beginners with an interest in canine psychology and behaviour management. Dog owners wishing to enhance their relationships and communication with their pets. Animal care workers looking to broaden their knowledge for career development. Career Path Dog Behaviour Specialist Dog Trainer Animal Welfare Officer Veterinary Assistant (Behaviour Support Role) Pet Care Consultant Animal Shelter Worker Behavioural Advisor in Animal Charities

Diploma in Data Analysis Fundamentals Course Overview The Diploma in Data Analysis Fundamentals provides a comprehensive introduction to the core principles and techniques used in data analysis. Throughout this course, learners will explore various data analysis tools and methods, such as Pareto charts, histograms, and control charts, to gain insights into processes and performance. By focusing on key data analysis skills, including identifying variation and interpreting results, this course empowers learners to use data-driven approaches to improve business processes. Upon completion, learners will have the ability to assess and present data effectively, enabling informed decision-making in a wide range of industries. Course Description This course covers essential topics in data analysis, including the principles of process management, tools for data analysis, and methods to interpret and present performance data. Learners will delve into key techniques such as Pareto charts, histograms, run charts, and control charts, focusing on how to use these tools to identify patterns, variations, and areas for improvement. The course also includes a structured approach to performance measurement and provides exercises to reinforce the theoretical knowledge gained. By the end of the course, learners will be equipped with the skills to analyse data, identify trends, and contribute to process improvement initiatives within their organisations. Diploma in Data Analysis Fundamentals Curriculum Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve decision-making through data insights. Beginners with an interest in process improvement and business analysis. Data enthusiasts looking to build a solid foundation in analysis techniques. Career Path Data Analyst Business Intelligence Analyst Process Improvement Specialist Operations Analyst Quality Control Analyst

Course Overview: The "Technical Analysis Masterclass for Trading & Investing" is a comprehensive course designed to equip learners with the essential skills to make informed trading and investment decisions using technical analysis. Covering a wide range of topics, from candlestick patterns to advanced trading strategies, this course empowers learners to interpret market data and identify trends effectively. By the end of the course, participants will have a solid understanding of how to analyse price movements, recognise key patterns, and apply strategies to improve their decision-making. With an emphasis on real-world applicability, learners will be prepared to confidently navigate the markets and pursue trading and investment opportunities. Course Description: This in-depth course dives into the core concepts and techniques used in technical analysis, ideal for those looking to sharpen their trading and investment skills. Learners will explore topics such as candlestick patterns, chart patterns, and volume analysis to understand market behaviours. Key focus areas also include tape reading strategies and technical trading systems, which are critical for timing market entries and exits. The course provides a structured learning experience, guiding participants through different methods of interpreting market data and applying analytical strategies to both short- and long-term trading. By mastering these techniques, learners will develop the skills to assess market conditions, identify profitable trends, and execute informed investment decisions with confidence. Course Modules: Module 01: Introduction to Technical Analysis Overview of technical analysis and its importance in trading and investing Key concepts and tools used in technical analysis Market data types and interpretation Module 02: Candlestick Patterns and Analysis Introduction to candlestick charting Key candlestick patterns and their significance Identifying trends and reversals Module 03: Trade and Investment Chart Patterns Common chart patterns: head and shoulders, triangles, and more How to interpret chart patterns for trade signals Setting up price targets using chart patterns Module 04: Volume Analysis Understanding volume and its role in market analysis Volume indicators and their applications Volume-based trading strategies Module 05: Tape Reading Strategies Introduction to tape reading and its historical significance Techniques for interpreting market order flow Understanding supply and demand through tape reading Module 06: Technical Trading Strategies Popular technical analysis strategies for trading Risk management and strategy development Implementing strategies for both short and long positions Module 07: Trading Platform and Practice Overview of different trading platforms and their features Using charting tools and indicators in platforms Best practices for executing trades and managing portfolios (See full curriculum) Who is this course for? Individuals seeking to enhance their trading and investment knowledge. Professionals aiming to refine their analytical skills for better decision-making. Beginners with an interest in financial markets and technical analysis. Investors wanting to better understand charting techniques and market trends. Career Path: Stock Trader Investment Analyst Financial Consultant Portfolio Manager Market Research Analyst Risk Manager