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Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for integration specialists and senior-level developers with experience in IBM Integration Bus application development. Overview After completing this course, you should be able to:Use event driven message processing to control the flow of messages by using message aggregation, message collections, message sequences, and time-sensitive nodesTransform data by using Microsoft .NET and XML stylesheetsAnalyze and filter information in complex XML documentsExtend DFDL message modelsUse message sets and the Message Repository Manager (MRM) parserProvide a message flow application as a web serviceRequest a web service from within a message flowDescribe how to implement WS-Addressing and WS-Security standards in IBM Integration BusCreate an integration serviceCreate and implement an IBM MQ request and response service definitionCreate and implement a database service definitionConfigure security-enabled message processing nodesCreate a decision service that implements business rules to provide routing, validation, and transformationExpose a set of integrations as a RESTful web serviceUse a global cache to store static dataRecord and replay data that a message flow application processesImplement publish and subscribe with IBM Integration BusDescribe the workload management options for adjusting the message processing speed, and controlling the actions that are taken on unresponsive flows and threadsConstruct user-defined patternsDescribe how IBM Integration Bus integrates with other IBM products such as IBM WebSphere Enterprise Service Bus and IBM DataPower Appliances This course focuses on using IBM Integration Bus to develop, deploy, and support platform-independent message flow applications and integration services. Course Outline Course introduction Using event driven processing nodes Exercise: Implementing message aggregation Transforming data with Microsoft .NET Transforming data with XSL stylesheets Analyzing XML documents Modeling complex data with DFDL Exercise: Extending a DFDL model Working with message sets and the MRM domain Supporting web services Exercise: Implementing web services Developing integration solutions by using integration services Exercise: Creating an integration service Connecting a database by using a discovered service Connecting IBM MQ by using a discovered service Exercise: Creating IBM MQ and database services Creating a decision service Exercise: Creating a decision service Developing integration solutions by using a REST API Using the global cache Implementing message flow security Exercise: Implementing IBM Integration Bus runtime security Implementing publish/subscribe Monitoring message flow events Exercise: Recording and replaying message flow data Managing the workload Creating patterns for reusability Extending IBM Integration Bus Course summary Additional course details: Nexus Humans WM676 IBM Integration Bus V10 Application Development II 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 WM676 IBM Integration Bus V10 Application Development II 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 3 Days 18 CPD hours This course is intended for System administrators System engineers Consultants Overview By the end of the course, you should be able to meet the following objectives: Identify the features and benefits of VMware Aria Operations for Logs Determine which VMware Aria Operations for Logs cluster meets your monitoring requirements Describe the VMware Aria Operations for Logs architecture and use cases Deploy and configure a VMware Aria Operations for Logs cluster Use the Explore Logs page to get a deep understanding of log data Create and manage queries Manage VMware Aria Operations for Logs agents and agent Groups Create custom dashboards Explain how to use the VMware Aria Operations for Logs widgets Extend the capabilities of VMware Aria Operations for Logs by adding content packs and configuring solutions Discuss VMware Aria Operations for Logs (SaaS) This three-day course features hands-on training that focuses on deploying, configuring, and managing VMware Aria Operations? for Logs 8.12. You will learn the UI enhancements, features, architecture, use cases, and benefits of VMware Aria Operations for Logs. This course provides you with the knowledge and skills to use VMware Aria Operations for Logs 8.12 to monitor your environment. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Aria Operations for Logs Describe the VMware Aria cloud management platform Describe the VMware Aria? use cases Describe the key capabilities of VMware Aria Operations for Logs Describe the requirements for a log analytics solution Explain the importance of efficient log management Navigate the VMware Aria Operations for Logs UI Describe the various stages of log processing VMware Aria Operations for Logs Architecture and Deployment Identify the minimum requirements for deploying VMware Aria Operations for Logs Explain how to use the VMware Aria Operations for Logs sizing calculator Describe VMware Aria Operations for Logs compatibility with other VMware products Describe the VMware Aria Operations for Logs architecture Explain how to install the VMware Aria Operations for Logs virtual appliance Analyzing Logs Describe the primary functions of the VMware Aria Operations for Logs UI Describe log events Use Explore Logs for understanding and analyzing the log data VMware Using Dashboards Alerts and Reports Create VMware Aria Operations for Logs custom dashboards Describe how to use the VMware Aria Operations for Logs widgets Configure alerts Explain how to view and manage reports Administering VMware Aria Operations for Logs Describe user access control in VMware Aria Operations for Logs Describe user management Configure VMware Aria Operations for Logs settings Managing Data Sources and Content packs Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs Install and manage content packs Manage certificates Install and manage agents for VMware Aria Operations for Logs Describe the VMware Aria Operations for Logs Importer VMware Aria Operations for Logs Integrations Describe how to integrate VMware Operations for Logs with VMware Aria Operations for Logs Discuss the advantages of integrating VMware Operations for Logs with VMware Aria Operations for Logs Discuss the advantages of using the vSAN content pack Explain how to configure the NSX content pack VMware Aria Operations for Logs (SaaS) Explain the VMware Aria Operations for Logs (SaaS) architecture Describe the ingestion options for Aria Operations for Logs (SaaS) Discuss integration with on-premises Aria Operations for Logs

Duration 5 Days 30 CPD hours This course is intended for Implementer Overview Enrolling in this course will help you better understand and leverage PeopleSoft Payroll for North America (USA) payroll requirements and processes. This knowledge will help you create, adjust and troubleshoot your organization's employee payroll. Learn Off-Cycle Payroll Events In addition to typical on-cycle payroll processing, Payroll for North America provides functionality for a variety of off-cycle payroll events and other payroll requirements. This course will illustrate how to reverse a paycheck, record a manual check, produce online checks and final checks and create a gross up check. In addition, you'll also learn the necessary steps to set up and process mid-period job changes and multiple jobs. Finally, you'll set up and processes benefit deductions and garnishments. This PeopleSoft Payroll - US Rel 9.2 training teaches you how to set up and maintain employee tax data, additional pay, general deductions and direct deposits. Expert Oracle University instructors will show you how to use this solution to calculate payroll, review calculation results, identify and correct errors, confirm payroll and more. Setting Up PeopleSoft HRMS Tables for Payroll Processing Identifying HRMS Tables That Impact Payroll Processing Describing Installation Table Setup for PeopleSoft Enterprise Payroll for North America Describing the Role of SetID, Location, and Department in Payroll Processing Describing Company Table Setup Desc Setting Up Payroll Tables Identifying Payroll Setup Tables Setting Up Source Bank Accounts Creating Special Accumulators Setting Up Earnings Codes Setting Up Earnings Programs Describing Shift Pay Setup Creating a Pay Group Creating a Rate Code Setting Up U.S. Payroll Tax Tables Identifying Tax Table Maintenance Responsibility Describing PeopleSoft-Maintained Tax Tables Setting Up Customer-Maintained Tax Tables Setting Up Employee Data Identifying Sources of Employee Data Setting Up an Employee Instance Entering and Viewing Employee Job Data Identifying Employee Pay Data Updating Employee Tax Data Assigning Additional Pay to Employees Assigning General Deductions to Employees Updating P Creating and Updating Paysheets Describing Paysheets in Payroll for North America Describing Balance ID Creation Creating Pay Calendars Setting Up Pay Run IDs Creating Paysheets Viewing and Updating Paysheets and Paylines Describing the Payroll Unsheet Process Calculating Payroll Describing Payroll Calculation Running Preliminary Payroll Calculation Running Final Payroll Calculation Confirming Payroll and Producing Checks and Reports Confirming a Payroll Viewing Confirmed Payroll Results Online Printing Checks and Advices Describing Check Reprinting Describing Direct Deposit Transmittals and Reports Describing Payroll and Tax Reports Identifying Methods of Reversing Payroll Confirmati Processing Off-Cycle Payrolls Identifying Off-Cycle Payroll Processing Reversing a Paycheck Describing Reversal/Adjustment Processing Recording a Manual Check Producing an Online Check Describing Retroactive Processing Setting Up and Processing Additional Payroll Functionality Setting Up a Holiday Schedule Setting Up Advanced Earnings Options Setting Up Multiple Jobs Processing Setting Up and Processing Mid-period Job Changes Processing Gross Ups Setting Up and Processing Benefit Deductions in Payroll Setting Up Deductions and Earnings for Benefits Calculations Updating a Benefit Program and Enrolling Employees Analyzing Benefits-Related Payroll Reports Setting Up and Processing Garnishments Identifying Garnishment Setup Steps Describing PeopleSoft-Maintained Garnishment Tables Setting Up Company-Level Tables for Garnishment Processing Assigning an Employee Garnishment Deduction Setting Up Employee Garnishment Specification Data Reviewing Emp Describing PeopleSoft Enterprise ePay Identifying HRMS Tables That Impact Payroll Processing Describing Installation Table Setup for PeopleSoft Enterprise Payroll for North America Describing the Role of SetID, Location, and Department in Payroll Processing Describing Company Table Setup Desc

Duration 3 Days 18 CPD hours This course is intended for This course is targeted for Juniper Networks system engineers, partner sales engineers (including Champions), and services partners who are interested in learning network design introductory concepts. However, the course is also applicable to a general audience of Juniper customers with a desire to learn more about network design. Overview Provide an overview of network design needs and common business requirements.Describe key product groups related to campus, WAN, data center, and security architectures.Analyze and interpret common RFP requirements.Scope a network design by gathering data and working with key stakeholders.Describe ways of processing customer data and design requests.Identify boundaries and scope for the design proposal.List some considerations when creating a design proposal.Provide an overview of network security design principles and common vulnerabilities.List high-level design considerations and best practices for securing the network.List the components of the campus network design.Describe best practices and design considerations for the campus.Describe architectural design options for the campus.List the components of the WAN.Describe best practices and design considerations for the WAN.Describe design options for the WAN.List the components of the data center design.Describe best practices and design considerations for the data center.Describe architectural design options for the data center.Define business continuity and its importance in a network design.Describe high availability design considerations and best practices.Provide an overview of high availability offerings and solutions.Describe Class of Service design considerations.Provide an overview of environmental considerations in network design.List design considerations and best practices for managing the network.Provide an overview of Juniper Networks and third party options for network management.List design considerations and best practices for network automation.Provide an overview of automation tools.Explain the foundational topics that have been taught throughout the course.Create a network design proposal that satisfies customer requirements and business needs.Provide an overview of the steps involved in migrating a network.Describe best practices used in network migration.List the various campus network topographies.Describe sample design options for the campus. This three-day course is designed to cover best practices, theory, and design principles for overall network design and will serve as the prerequisite course for other design subject areas ƒ?? data center, security, and WAN. Course IntroductionNetwork Design Fundamentals A Need for Design Knowledge is King A Proposed Design Methodology A Reference Network Understanding Customer Requirements RFP Requirements Scoping the Design Project Analyzing the Data Lab: Understanding Customer Requirements Organizing the Data Processing the Data and Requests Understanding Boundaries and Scope Design Proposal Considerations Securing the Network Why Secure the Network? Security Design Considerations Creating the Design Campus The Campus Network: An Overview Best Practices and Considerations Architectural Design Options Lab: Creating the Design Campus Creating the Design Wide Area Network The WAN: An Overview Best Practices and Considerations WAN Design Examples Lab: Creating the Design WAN Creating the Design Data Center The Data Center: An Overview Best Practices and Considerations Data Center Design Examples Lab: Creating the Design Data Center Business Continuity & Network Enhancements Business Continuity Planning High Availability Design Considerations and Best Practices Offerings and Solutions CoS and Traffic Engineering Considerations Environmental Design Network Management Designing for Network Management Automation Designing for Network Automation Lab: Enhancing the Design Putting Network Design Into Practice Network Design Recap Responding to the RFP Final Lab Introduction Lab: Putting Network Design into Practice

The 2025 I Am Writing Competitions are now open! Now in their fourth year our line-up spans TWELVE categories for various audiences, split into genres as follows: Three categories for children's writers: Picture Books, Chapter Books/Graphic Novels, Middle Grade (MG), Young Adult/New Adult/Teen (YA/NA). Adult fiction has four genres: Action/Adventure, Cosy Crime, Crime/Thriller, Historical, Horror, Literary Fiction, Romance, Science-fiction/Fantasy (SFF). Success! Over the past three years, representation has been offered to multiple writers as a result of entering and publishing deals secured. Some books are even out in the wild now with more to follow! A handful of our success stories can be found on the I Am In Print website. Sponsorship To keep our competition as inclusive as possible we welcome low income writers, full-time carers, students in full-time education and writers from underrepresented backgrounds. All voices deserve a chance to be heard. With this in mind, we invite you to help us fund these free of charge and discounted places, which we offer on application. There are a limited number available across all competitions and it is only possible for us to offer these through sponsorship. Please donate by clicking the ‘Book’ button. Thank you Thank you so much in advance for your kindness. Your sponsorship really will enable a writer to take part, helping us make the I Am Writing Competitions as accessible and diverse as possible. What's special about the I Am Writing Competitions? * To ensure that more genres have an opportunity, there are twelve competitions to choose from. * Each genre is judged by a professional literary agent / publisher as the sole reader - so an agent or publisher reads all entries in their category, including yours! We do not use readers to narrow down the entries before they reach the judge, making this competition very unique. * Each competition will have its own shortlist, giving more writers the opportunity to receive praise for their writing skills. * The entry fee is kept as low as possible at £13 per entry. In order to be as transparent as possible, a summary of how we finance the competitions is on the I Am In Print website. * A range of prizes are on offer, from cash prizes and book tokens, to an online Agent121 or publisher feedback meeting. Details of the prizes for each competition are on our website. The competitions close on 22 May 2025 at 12pm BST. Full details can be found here: www.iaminprint.co.uk/competitions-2025/ Thank you for your interest and support of our competition. And if you are entering, good luck! Elane & Sarah Co-Founders I Am In Print / I Am Writing Competitions

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Negotiation is an everyday challenge for some whether it be in the office, field or at home. Have you ever walked away from a situation thinking "if I'd only put my thoughts, side, opinion or words across better"? This 2-day course is perfect for managers, supervisors and sales people. It will focus on negotiation skills and the techniques that go with it. In this energy-charged provision you'll learn and practice negotiation, assertiveness and influencing techniques. Course Syllabus The syllabus of the Effective Communication and Influencing course is comprised of seven modules, covering the following: Module One An Introduction to Negotiation Assessment of your current sales and negotiation strengths and improvement areas What is negotiation? Identifying objectives and all factors affecting negotiation The negotiation model - the four stages Module Two The Preparation Stage The significance of preparation and why we need to prepare What do you need to prepare? Preparing a set of objectives: yours and theirs Understanding constants and variables Researching the other party Creating a "win-win" situation Preparing yourself for possible set-backs and objections Module Three The Discussion Stage The importance of rapport building Opening the negotiation The power of effective questioning techniques Improving your listening skills Controlling emotions Spotting the signs - non-verbal communication and voice clues Module Four The Proposing Stage Stating your opening position Responding to offers How to deal effectively with adjournments Module Five The Bargaining and Closing Stage Making concessions - the techniques Adopting key bargaining skills Dealing with objections and underhand tactics Closing techniques Confirming the agreement Creating long term, lasting commitment Scheduled Courses Unfortunately this course is not one that is currently scheduled as an open course, and is only available on an in-house basis. Please contact us for more information.

Dealing with Difficult People: Dealing with Difficult People Online Are you struggling to deal with difficult people? Our Dealing with Difficult People: Dealing with Difficult People course can help improve your skills at work. Dealing with Difficult People: Dealing with Difficult People defy logic. Some are blissfully unaware of the negative impact they have on those around them, while others appear to derive satisfaction from causing chaos and pushing other people's buttons. In either case, they add unnecessary complexity, strife and worst of all stress. Stress has long been shown in studies to have a long-term negative impact on the brain. Stress is a formidable threat to your success; when it becomes uncontrollable, your brain and performance suffer. The majority of workplace stressors are easy to identify. Dealing with difficult people is always stressful. We've all been in situations where we had to interact with difficult people, whether at work, school, or over a business lunch. They do exist in the workplace, and the better you become at dealing with them, the happier you will be at work. Dealing with Difficult People: Dealing with Difficult People may take advantage of every opportunity to cause problems, or they may simply use passive resistance to waylay your best efforts to move your agenda forward. While you cannot control others, you can control and improve yourself by doing the following: Recognising your own attitudes and behaviours, creating coping strategies, managing your anger. Through this Dealing with Difficult People: Dealing with Difficult People course, you'll learn how to deal with aggressive, manipulative, undermining, prejudiced, or otherwise difficult people. Main Course: Dealing With Difficult People Course Free Courses included with Dealing with Difficult People: Dealing with Difficult People Course: Along with Dealing With Difficult People Course you will get free Level 5 Report Writing Course Along with Dealing With Difficult People Course you will get free Communication Skills Course Special Offers of this Dealing with Difficult People: Dealing with Difficult People Course: This Dealing with Difficult People: Dealing with Difficult People Course includes a FREE PDF Certificate. Lifetime access to this Dealing with Difficult People: Dealing with Difficult People Course Instant access to this Dealing with Difficult People: Dealing with Difficult People Course 24/7 Support Available to this Dealing with Difficult People: Dealing with Difficult People Course Dealing with Difficult People: Dealing with Difficult People Online Our Dealing with Difficult People: Dealing with Difficult People course has various modules to explain difficult people and their behaviours. How to communicate, solve problems and guide techniques are parts of this Dealing with Difficult People: Dealing with Difficult People course. You also know how to effectively deal with bosses and colleagues are explained in the Dealing with Difficult People: Dealing with Difficult People course. You will be able to make impossible situations possible with this Dealing with Difficult People: Dealing with Difficult People course. Who is this course for? Dealing With Difficult People: Dealing with Difficult People Online This Dealing with Difficult People: Dealing with Difficult People course is ideal for: Anyone involved in communication at work. Executive Assistants or Sales Reps Customer Support Agents Requirements Dealing with Difficult People: Dealing with Difficult People Online To enrol in this Dealing with Difficult People Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Dealing with Difficult People: Dealing with Difficult People Course. Be energetic and self-motivated to complete our Dealing with Difficult People: Dealing with Difficult People Course. Basic computer Skill is required to complete our Dealing with Difficult People Course. If you want to enrol in our Dealing with Difficult People Course, you must be at least 15 years old. Career path Dealing with Difficult People: Dealing with Difficult People Online The Dealing with Difficult People: Dealing with Difficult People course is intended to help you obtain the skills, knowledge, and career of your dreams!

Course Overview The 120 Hours TEFL (TESOL) Masterclass is a comprehensive programme designed for individuals aspiring to teach English as a foreign or second language. This course provides a robust foundation in teaching methodologies, linguistics, grammar, pronunciation, and classroom management. Learners will develop the confidence and competence needed to deliver engaging and effective English lessons across diverse cultural and educational settings. By the end of the course, participants will be equipped with the theoretical knowledge and instructional strategies to teach English successfully to learners of all ages and proficiency levels. This qualification opens the door to teaching opportunities worldwide, enhancing employability in an ever-expanding global market. Whether seeking to start a new career, travel while teaching, or advance existing skills, this course offers valuable expertise and an internationally recognised credential. Course Description This professionally structured TEFL (TESOL) Masterclass covers all the essential aspects of English language teaching. Modules explore topics such as second language acquisition, teaching receptive and productive skills, lesson planning, classroom management, and the integration of technology into teaching. Learners will gain a solid grounding in linguistics, master techniques for teaching grammar, vocabulary, pronunciation, and discover innovative ways to motivate students through games and activities. Throughout the course, participants will build essential skills for creating dynamic learning environments and adapting teaching methods to different learner needs. With a focus on academic excellence and professional development, this course prepares learners for a rewarding career in English language teaching across schools, private institutions, and online platforms. Upon completion, learners will possess a deep understanding of English teaching practices, ready to inspire students and contribute meaningfully to educational communities around the world. Course Modules Module 01: Introduction to English Language Teaching and Learning Module 02: Linguistics Module 03: English Pronunciation Module 04: Teaching Grammar and Vocabulary Module 05: Language Teaching Methodologies Module 06: Teaching Receptive Skills: Reading Module 07: Teaching Productive Skills: Writing Module 08: Teaching Receptive Skills: Listening Module 09: Teaching Productive Skills: Speaking Module 10: Lesson Planning Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English: Situational Approach Module 15: Professional Development and Employment (See full curriculum) Who is this course for? Individuals seeking to teach English to speakers of other languages. Professionals aiming to transition into the education sector or broaden their teaching credentials. Beginners with an interest in English language teaching and global communication. Travellers and expatriates looking to pursue international teaching opportunities. Recent graduates considering a career in education and language instruction. Career Path English as a Foreign Language (EFL) Teacher English as a Second Language (ESL) Instructor Online English Tutor Academic English Teacher English Language Programme Coordinator English Curriculum Developer Private Language Institute Teacher International School English Teacher

Overview of Maintenance Manager The Maintenance Manager course is designed to help you become a skilled professional in the growing field of facilities management. With the UK facilities management sector contributing over £120 billion each year, Maintenance Managers are in high demand. This course covers everything you need to know, from basic handyperson tasks to advanced electrical work and risk assessments. Whether you’re fixing plumbing issues, troubleshooting appliances, or learning carpentry, this course gives you the practical skills to succeed. As buildings become more complex, the role of a Maintenance Manager becomes even more important. You’ll learn how to handle a wide variety of maintenance tasks, including electrical work, construction projects, and health and safety protocols. This knowledge ensures that you are ready to take on challenges in both residential and commercial properties. You will be able to carry out repairs and improvements that meet the latest regulations and safety standards. Qualified Maintenance Managers are highly valued, and with the knowledge and skills you develop in this course, you will be prepared to manage maintenance tasks efficiently and effectively. With training in essential areas like plumbing, electrical systems, and safety compliance, this course positions you for success in a fast-growing industry where the demand for qualified professionals is rising. By the end of the Maintenance Manager course, you will be able to: Master practical plumbing and carpentry techniques for effective maintenance. Apply health and safety standards to all maintenance tasks. Perform basic electrical repairs while adhering to safety regulations. Gain skills in painting, decorating, and floor installations. Carry out risk assessments for maintenance activities accurately. Install and repair common household appliances and fixtures. Who is this course for Property managers looking to enhance their maintenance skills and save on outsourcing costs. Facilities supervisors who want to improve their technical knowledge of building systems and repairs. Building caretakers aiming to expand their abilities and take on more responsibilities. DIY enthusiasts interested in formalising their knowledge and transitioning to a professional maintenance career. Career changers seeking a solid foundation in maintenance management to enter the field. Process of Evaluation After studying the Maintenance Manager Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Maintenance Manager Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the Maintenance Manager course. Career Path After completing the Maintenance Manager course, you can explore roles such as: Maintenance Manager - £35K to £50K/year Facilities Coordinator - £25K to £38K/year Building Services Supervisor - £30K to £45K/year Estate Maintenance Officer - £28K to £42K/year Property Maintenance Manager - £32K to £48K/year Course Curriculum Module 01: Introduction To Handyperson 00:20:00 Module 02: Basic Tools And Equipment 00:22:00 Module 03: Plumbing Skills 00:19:00 Module 04: Appliances 00:18:00 Module 05: General Carpentry 00:26:00 Module 06: Basic Maintenance Skills 00:14:00 Module 07: Walls And Floors 00:19:00 Module 08: Painting And Decorating 00:17:00 Module 09: Drilling, Tiling And Welding 00:22:00 Module 10: Construction Projects 00:15:00 Module 11: Health and Safety at Work 00:27:00 Module 12: Electrical Work 00:23:00 Module 13: Working Safely With Electrical Equipment 00:17:00 Module 14: Electrical Incidents 00:10:00 Module 15: Risk Assessment 00:23:00 Module 16: Reducing And Controlling Risks 00:21:00 Module 17: Combined Inspection And Testing 00:37:00