26720 Management courses in Musselburgh 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

Master essential skills of the fundamentals of marketing to fast track your career in this evolving industry with the Marketing Fundamentals Level 2 course. In this course, you will explore the marketing cycle, various marketing strategies and the elements of a successful marketing campaign. Advertising is a crucial aspect of marketing, and you will gain a thorough insight into the process involved in pushing a product or service out to the public. Throughout this course, you will learn practical exercises and explore case studies that will help you to gain valuable sales skills and understand how consumers think.  Kickstart your career today and gain the knowledge to stand out in this competitive field! Learning Objectives Gain an understanding of the basic principles of strategic marketing Understand the main steps in the marketing process, from the marketing mix to data analysis Learn about the different types of marketing environments, their internal and external factors Have a comprehensive knowledge of consumer buying behaviour and trends Familiarise with the major types of business markets and their characteristics Explore your job opportunities in marketing, career growth, and the core skills required for this industry Broaden your understanding of marketing research, with expert methods and strategies Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Certificate of Completion from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Course Curriculum Module 01: Basics of Marketing Basics of Marketing 00:30:00 Assessment Module 01 Module 01 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 02: The Marketing Process The Marketing Process 00:40:00 Assessment Module 02 Module 02 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 03: Strategic Marketing Strategic Marketing 01:00:00 Assessment Module 03 Module 03 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 04: Marketing Environment Marketing Environment 00:20:00 Assessment Module 04 Module 04 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 05: Market Segmentations Market Segmentations 00:40:00 Assessment Module 05 Module 05 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 06: Consumer Buying Behaviour Consumer Buying Behaviour 01:00:00 Assessment Module 06 Module 06 Final Quiz Exam - Marketing Fundamentals 00:10:00 Module 07: Business Markets and Buying Behaviour Business Markets and Buying Behaviour 00:40:00 Assessment Module 07 Module 07 Final Quiz Exam - Marketing Fundamentals 00:10:00 Order Your Certificate

Whether the Highfield Customer Service e-learning course is used as part of the training for a level 2 customer service qualification or as a stand-alone training course for staff and managers, learners will understand what is meant by, and how to deliver, good customer service in your organisation. From the basic principles of customer service to understanding and anticipating customers’ wants and needs, the course breaks information into engaging and interactive chunks. Areas covered Customer service principles Customers’ needs and expectations Behaviour and interpersonal skills Responding to problems or complaints Who is it aimed at? The course is useful for staff, managers, and apprentices working within any business

Duration 3 Days 18 CPD hours Participants in this course will learn how to update, upgrade, and reinstall the macOS then set up and configure the new macOS. They will also be introduced to the command-line interface and macOS Recovery. Other course topics include: managing user accounts, system resources, Time Machine, user home folders managing file systems, storage, encryption, permissions, using hidden items, shortcuts, file archiving file sharing, metadata, Spotlight, network services, host sharing, and creating a personal firewall and much more. The students will also learn all about macOS security and password changes Installation and Configuration Update, Upgrade, or Reinstall macOS Set Up and Configure macOS Use the Command-Line Interface Use macOS Recovery Update macOS User Accounts Manage User Accounts Manage User Home Folders Manage Security and Privacy Manage Password Changes File Systems Manage File Systems and Storage Manage FileVault Manage Permissions and Sharing Use Hidden Items, Shortcuts, and File Archives Data Management Manage System Resources Use Metadata, Spotlight, and Siri Manage Time Machine Apps and Processes Install Apps Manage Files Manage and Troubleshoot Apps Network Configuration Manage Basic Network Settings Manage Advanced Network Settings Troubleshoot Network Issues Network Services Manage Network Services Manage Host Sharing and Personal Firewall System Management Troubleshoot Peripherals Manage Printers and Scanners Troubleshoot Startup and System Issues Additional course details: Nexus Humans macOS Support Essentials 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 macOS Support Essentials 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 Senior system administrators who wish to learn more about troubleshooting. Have earned a Red Hat Certified System Administrator (RHCSA) or have similar experience. It is recommend that students have earned a Red Hat Certified Engineer (RHCE) or have similar experience. Overview As a result of attending this course, students should be able to leverage the software development life-cycle process to plan, create, test, and provision host systems within an organization. Students should be able to demonstrate the following skills: - Installation of Red Hat Satellite 6 - Software life-cycle management of software used to provision and maintain configured hosts within a controlled production environment This course enriches your skills by providing the tools and techniques that you need to successfully diagnose, and fix, a variety of potential issues. You will work through hands-on problems in various subsystems to diagnose and fix common issues. You will learn develop the skills to apply the scientific method to a structured form of troubleshooting. You will then apply this approach in troubleshooting various types of problems, including boot issues, hardware issues, storage issues, RPM issues, network issues, third-party application issues, security issues, and kernel issues. At the end of the course, you will be empowered to complete various comprehensive review labs to test your skills. 1 - INTRODUCTION TO TROUBLESHOOTING Describe a generalized strategy for troubleshooting. 2 - TAKE PROACTIVE STEPS TO PREVENT SMALL ISSUES Prevent small issues from becoming large problems by employing proactive system administration techniques. 3 - TROUBLESHOOT BOOT ISSUES Identify and resolve issues that can affect a system's ability to boot. 4 - IDENTIFY HARDWARE ISSUES Identify hardware problems that can affect a system?s ability to operate. 5 - TROUBLESHOOT STORAGE ISSUES Identify and fix issues related to storage. 6 - TROUBLESHOOT RPM ISSUES Identify and fix problems in, and using, the package management subsystem. 7 - TROUBLESHOOT NETWORK ISSUES Identify and resolve network connectivity issues. 8 - TROUBLESHOOT APPLICATION ISSUES Debug application issues. 9 - DEAL WITH SECURITY ISSUES Identify and fix issues related to security subsystems. 10 - TROUBLESHOOT KERNEL ISSUES Identify kernel issues and assist Red Hat Support in resolving kernel issues. 11 - RED HAT ENTERPRISE LINUX DIAGNOSTICS AND TROUBLESHOOTING COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in Red Hat Enterprise Linux Diagnostics and Troubleshooting.

Duration 3 Days 18 CPD hours This course is intended for This course is for IT professionals who manage on-premises Windows Server environments and want to use Azure to manage server workloads and run their virtual workloads on Windows Server 2019. They also want to use existing Microsoft System Center products to implement and manage software-defined datacenters with Windows Server 2019. Overview Describe the Azure Stack portfolio, including Azure Stack HCI, Azure Stack Hub, and Azure Stack Edge Describe the Azure Stack HCI core technologies and management tools. Describe the process of a typical Azure Stack HCI implementation. Identify Azure Stack HCI hybrid capabilities. Implement, manage, and maintain workloads on Azure Stack HCI. Plan for and implement Azure Stack HCI Storage, including Storage QoS and Storage Replica. Plan for Azure Stack HCI Networking. Implement Software Defined Networks in Azure Stack HCI. This three-day course WS-013T00-A is intended primarily for IT Professionals who already have significant experience with managing an on-premises Windows Server environment. Its purpose is to cover advanced topics related to Windows Server software-defined datacenter, Azure Stack HCI, and other Azure Stack products. The course also describes the use of existing Microsoft System Center products to implement and manage software-defined datacenters with Windows Server 2019. This course is advanced and is designed for people that want to run their virtual workloads on Windows Server 2019 at medium-to-large scale using software-defined datacenter and hyper-converged principles. Introducing Azure Stack HCI Overview of Azure Stack HCI Overview of Azure Stack HCI technologies Overview of Azure Stack HCI management tools Overview of the Azure Stack HCI hybrid capabilities Operating and maintaining Azure Stack HCI Implementing and managing workloads on Azure Stack HCI Maintaining Azure Stack HCI Planning for and implementing Azure Stack HCI storage Overview of Azure Stack HCI Storage core technologies Planning for Storage Spaces Direct in Azure Stack HCI Implementing a Storage Spaces Direct-based hyper-converged infrastructure Managing Storage Spaces Direct in Azure Stack HCI Planning for and implementing Storage QoS Planning for and implementing Storage Replica Planning for and implementing Azure Stack HCI networking Overview of Azure Stack HCI core networking technologies Overview of network virtualization and Software-Defined Networking Planning for and implementing Switch Embedded Teaming Planning for and implementing Datacenter Firewall Planning for and implementing Software Load Balancing Planning for and implementing RAS Gateways

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Course Description Get instant knowledge from this bite-sized Recruitment Consultant Diploma Part - 1 course. This course is very short and you can complete it within a very short time. In this Recruitment Consultant Diploma Part - 1 course you will get fundamental ideas of recruitment consultation, the key understanding of the importance of recruitment, sales in the recruitment industry and so on. Enrol in this course today and start your instant first step towards familiarising yourself with the importance and implications of recruitment. Learn faster for instant implementation. Learning Outcome Familiarise with the importance and implications of recruitment Get an overview of the recruitment industry Deepen your understanding of sales and selling in the recruitment industry Understand the UK Recruitment Legislation How Much Do Recruitment Consultants Earn? Senior - £36,000 (Apprx.) Average - £26,000 (Apprx.) Starting - £19,000 (Apprx.) Requirement Our Recruitment Consultant Diploma Part - 1 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Recruitment Consultant Diploma Part - 1 Introduction to Recruitment: Importance and Implications 00:17:00 An Overview of the Recruitment Industry 00:27:00 The UK Recruitment Legislation 00:28:00 Sales and Selling in the Recruitment Industry 00:11:00 Assignment Assignment - Recruitment Consultant Diploma Part - 1 00:00:00