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Duration 2 Days 12 CPD hours This course is intended for This course is intended for network administrators, operators, and engineers responsible for managing the normal day-to-day operation and administration of a BIG-IP application delivery network. This course presents the prerequisite knowledge for many other of F5's BIG-IP instructor-led training courses. Overview Getting started with the BIG-IP system Traffic processing with BIG-IP Local Traffic Manager (LTM) Using the TMSH (TMOS Shell) command line interface Using NATs and SNATs Monitoring application health and managing object status Modifying traffic behavior with profiles, including SSL offload and re-encryption Modifying traffic behavior with persistence, including source address affinity and cookie persistence Troubleshooting the BIG-IP system, including logging (local, high-speed, and legacy remote logging), and using tcpdump User roles and administrative partitions vCMP concepts Customizing application delivery with iRules This course gives network administrators, network operators, and network engineers a functional understanding of the BIG-IP system as it is commonly deployed in an application delivery network. The course introduces students to the BIG-IP system, its configuration objects, how it processes traffic, and how typical administrative and operational activities are performed. The course includes lecture, hands-on labs, interactive demonstrations, and discussions. Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Configuring the Management Interface Activating the Software License Provisioning Modules and Resources Importing a Device Certificate Specifying BIG-IP Platform Properties Configuring the Network Configuring Network Time Protocol (NTP) Servers Configuring Domain Name System (DNS) Settings Configuring High Availability Options Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Traffic Processing Building Blocks Identifying BIG-IP Traffic Processing Objects Configuring Virtual Servers and Pools Load Balancing Traffic Viewing Module Statistics and Logs Using the Traffic Management Shell (TMSH) Understanding the TMSH Hierarchical Structure Navigating the TMSH Hierarchy Managing BIG-IP Configuration State and Files BIG-IP System Configuration State Loading and Saving the System Configuration Shutting Down and Restarting the BIG-IP System Saving and Replicating Configuration Data (UCS and SCF) Using NATs and SNATs Address Translation on the BIG-IP System Mapping IP Addresses with NATs Solving Routing Issues with SNATs Configuring SNAT Auto Map on a Virtual Server Monitoring for and Mitigating Port Exhaustion Monitoring Application Health Introducing Monitors Types of Monitors Monitor Interval and Timeout Settings Configuring Monitors Assigning Monitors to Resources Managing Pool, Pool Member, and Node Status Using the Network Map Modifying Traffic Behavior with Profiles Introducing Profiles Understanding Profile Types and Dependencies Configuring and Assigning Profiles Introducing SSL Offload and SSL Re-Encryption Managing Object State Modifying Traffic Behavior with Persistence Understanding the Need for Persistence Introducing Source Address Affinity Persistence Managing Object State Administering the BIG-IP System Configuring Logging Legacy Remote Logging Introducing High Speed Logging (HSL) High-Speed Logging Filters HSL Configuration Objects Configuring High Speed Logging Using TCPDUMP on the BIG-IP System Leveraging the BIG-IP iHealth System Viewing BIG-IP System Statistics Defining User Roles and Administrative Partitions Leveraging vCMP Configuring High Availability Introducing Device Service Clustering (DSC) Preparing to Deploy a DSC Configuration Configuring DSC Communication Settings Establishing Device Trust Establishing a Sync-Failover Device Group Synchronizing Configuration Data Exploring Traffic Group Behavior Understanding Failover Managers and Triggers Achieving Stateful Failover with Mirroring

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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.

SCRUM is an Agile framework for managing work or for finishing complex projects with an emphasis on software development. The knowledge of SCRUM will be a great plus point for your career as it is one of the practical approaches for managing any project efficiently. With the understanding of the Scrum Complete Video Training course, you will able to master the complete framework of SCRUM. SCRUM framework is very lightweight, simple to understand but difficult to master. For better understanding, the bundled course is divided into two parts - one is SCRUM immersion, and another one is SCRUM Developer video training. SCRUM immersion will provide the basic knowledge of the framework and its three roles, four artefacts, five meeting procedures, and the proper ways of implementing SCRUM. ON the other hand, SCRUM Developer deals with the preparation, planning and estimation of a project. It will help you to initiate a project and create a vision. In short, the Scrum Complete Video Training course is a complete guide for SCRUM approach and helps you to start, plan, initiate and evaluate a project. Assessment & Certification: To achieve a formal qualification, you are required to book an official exam separately with the relevant awarding bodies. However, you will be able to order a course completion CPD Certificate by paying an additional fee. Hardcopy Certificate by post - £19 Soft copy PDF via email - £10 Requirements Our Scrum Complete Video Training 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. 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. Module 01: SCRUM Immersion Overview Overview FREE 00:01:00 A History Lesson 00:37:00 Methodologies 00:22:00 Beginning of Agile 00:20:00 Scrum Basics Scrum Basics 00:27:00 Scrum = 3 Roles + 4 Artifacts + 5 Meetings 00:25:00 Sprint Planning 00:17:00 Key Scrum Artifacts Key Scrum Artifacts 00:09:00 WBS 00:18:00 Making Scrum Practical 00:28:00 User Stories User Stories 00:07:00 Use Cases vs. User Stories 00:13:00 Implementing Scrum Implementing Scrum 00:24:00 Scrum and Burn Charts 00:11:00 Should You Use Scrum 00:10:00 Module 02: Scrum Developer Introduction Introduction FREE 00:12:00 Introduction to Scrum Introduction to Scrum 00:01:00 Scrum Overview 00:21:00 Scrum Concepts & Principles 00:14:00 Scrum Phases & Processes 00:05:00 Course Summary 00:02:00 Initiating a Project Initiating a Project 00:03:00 Creating the Project Vision 00:09:00 Identifying the Scrum Master 00:03:00 Forming the Scrum Team 00:06:00 Developing Epics 00:06:00 Creating the Prioritized Product Backlog 00:12:00 Release Planning 00:06:00 Course Summary 00:02:00 Planning & Estimating a Project Planning & Estimating a Project 00:03:00 Creating User Stories 00:05:00 Approve, Estimate & Commit User Stories 00:07:00 Create Tasks 00:06:00 Estimating Tasks 00:04:00 Creating the Sprint Backlog 00:07:00 Course Summary 00:02:00 Implementing a Project Implementing a Project 00:01:00 Creating Deliverables 00:06:00 Conducting the Daily Standup (or Daily Scrum) 00:06:00 Grooming the Prioritized Product Backlog 00:04:00 Course Summary 00:02:00 Sprint Review and Retrospect Sprint Review and Retrospect 00:02:00 Convene a Scrum of Scrums 00:05:00 Demonstrating & Validating Sprint 00:06:00 Retrospect Sprint 00:09:00 Course Summary 00:02:00 Release Release 00:02:00 Ship Deliverables 00:07:00 Retrospect Project 00:03:00 Course Summary 00:04:00 Module 03: Scrum Master Introduction Introduction FREE 00:11:00 Introduction to Scrum Introduction to Scrum 00:01:00 Scrum Overview 00:21:00 Scrum Concepts & Principles 00:14:00 Scrum Phases & Processes 00:05:00 Introduction to Scrum Summary 00:02:00 Scrum Aspects Scrum Aspects 00:02:00 Roles and Organization in Scrum 00:15:00 Business Justification 00:18:00 Quality 00:06:00 Change 00:08:00 Risk 00:13:00 Scrum Aspects Summary 00:02:00 Meetings in Scrum Meetings in Scrum Summary 00:03:00 Project Vision Meeting 00:09:00 User Group Meetings 00:10:00 Sprint Planning Meeting 00:23:00 Conducting the Daily Standup (or Daily Scrum) 00:06:00 Grooming the Prioritized Product Backlog Meeting 00:03:00 Sprint Review Meeting 00:05:00 Retrospect Sprint Meeting 00:13:00 Release Planning Meeting 00:08:00 Meetings in Scrum Summary 00:03:00 Facilitating Projects in Scrum Summary 00:04:00 Facilitating Projects in Scrum Scrum Artifacts 00:16:00 Creating Deliverables 00:07:00 Convening a Scrum of Scrums 00:09:00 Facilitating Projects in Scrum Summary 00:04:00 Module 04: Scrum Product Owner Introduction Introduction FREE 00:11:00 Introduction to Scrum Introduction to Scrum 00:01:00 Scrum Overview 00:21:00 Scrum Concepts & Principles 00:15:00 Scrum Phases & Processes 00:05:00 Introduction to Scrum Summary 00:02:00 Roles and Responsibilities Roles and Responsibilities 00:01:00 The Product Owner 00:06:00 The Scrum Master 00:04:00 The Scrum Team 00:09:00 Roles & Responsibility Summary 00:02:00 Manage Quality, Change, and Risk Planning 00:02:00 The Project Vision 00:11:00 User Group Meetings 00:11:00 Estimates 00:08:00 Prioritized Product Backlog 00:11:00 Release Plan 00:12:00 Planning Summary 00:02:00 Planning Manage Quality, Change, and Risk 00:01:00 Quality 00:07:00 Change 00:07:00 Risk 00:13:00 Manage Quality, Change & Risk Summary 00:02:00 Sprints Sprints 00:01:00 Sprint Planning Meeting 00:21:00 During the Sprint 00:07:00 Groom the Prioritized Product Backlog 00:04:00 Sprint Review Meeting 00:04:00 Ship Deliverables 00:02:00 Sprints 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML. The Machine Learning for Apps Level 4 course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more. On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development. This best selling Machine Learning for Apps Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Apps Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Apps Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Apps Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Apps Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Apps Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Apps Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Embark on a transformative journey into the world of 'Award in Transcription and Captioning Course at QLS Level 2,' where you'll delve into the essential skills and techniques required to create accurate, clear, and effective subtitles and closed captions for videos. From understanding the theory behind subtitles to mastering the art of manual and online captioning, this course equips you with the tools to enhance accessibility, engage diverse audiences, and make your content universally understandable. Learning Outcomes Comprehend the fundamental theory and significance of subtitles and closed captions. Apply guidelines to create polished and error-free captions that enhance viewer experience. Master the process of transcribing videos accurately and efficiently. Utilize desktop tools for manual caption preparation and synchronization. Integrate subtitle tracks seamlessly into video files for enhanced accessibility. Explore online platforms for both manual and automatic captioning. Gain insights into translation techniques for catering to international viewers. Reflect on your journey and newfound expertise in transcription and captioning. Why choose this Award in Transcription and Captioning Course at QLS Level 2 course? 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 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 Award in Transcription and Captioning Course at QLS Level 2 course for? Content creators seeking to enhance the accessibility of their videos. Video editors aiming to improve their captioning and subtitling skills. Aspiring transcriptionists and captioning professionals. Individuals passionate about making content more inclusive and universally accessible. Career path Video Content Creator - Income varies based on content popularity and monetization strategies. Video Editor - Median salary of $57,210 per year. Captioning Specialist - Median salary of $43,090 per year. Freelance Transcriptionist - Income varies based on projects and clients. Accessibility Consultant - Median salary of $58,041 per year Prerequisites This Award in Transcription and Captioning Course at QLS Level 2 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. 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 Module 01: Introduction - What It's All About Definition: Captions 00:02:00 Subtitling in Practice 00:05:00 Workflow for Captioning Videos 00:04:00 Module 02: Theory - About Subtitles and Closed Captions Theory: Overview 00:02:00 Motivation: Benefits of Subtitles and Captions 00:05:00 Differences Between Subtitles and Captions 00:04:00 The Most Important Subtitle Formats 00:06:00 Module 03: Guidelines - Nice and Clean Captions Language: Pay Attention to Spelling, Grammar and Punctuation 00:03:00 Style Guidelines: How to Create Great Captions 00:06:00 Example and Discussion: Good and Bad Captions 00:04:00 Module 04: Preparation - Transcribe Your Video Preparation: Overview 00:02:00 Definition: Transcription 00:01:00 Reasons for Transcription 00:04:00 The Other Way Around: Convert Captions to Plain Text 00:02:00 Tools for Transcribing Videos 00:04:00 Module 05: The Offline Way - Manually Prepare Captions With Desktop Tools The Offline Way: Overview 00:03:00 Benefits of Captioning Software 00:04:00 Subtitle Edit 00:07:00 Tip: Adjust Timings 00:02:00 Tip: Convert Subtitles 00:00:00 Aegisub Advanced Subtitle Editor 00:06:00 Other Programs to Create Subtitles 00:04:00 Module 06: The Subtitle Track - Integrate Captions into Your Video File The Subtitle Track: Overview 00:02:00 How to Add Captions to MKV Videos 00:04:00 How to Add Captions to MP4 Videos 00:03:00 How to Use Captions With the VLC media player 00:05:00 Open Captions Vs. Closed Captions 00:06:00 Tip: The Other Way Round: Extract Captions From Videos 00:02:00 Module 07: The Online Way - Caption Videos Manually and Automatically Online The Online Way: Overview 00:00:00 YouTube: Create, Edit and Add Captions to Your Videos 00:04:00 Subtitling Platforms 00:04:00 Download Subtitles for Any YouTube Video 00:02:00 Module 08: Translation - Appeal to Your International Audience Translation: Overview 00:02:00 Motivation: Translate Videos into Many Different Languages Using Captions 00:03:00 The Translation Procedure: Translate Transcriptions, Not Captions! 00:03:00 Online Translation Tools 00:04:00 Module 09: The End - What Did You Learn? Summary of the Course 00:05:00 Assignment Assignment - Award in Transcription and Captioning Course at QLS Level 2 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Data-Informed Decision Making in Projects: On-Demand Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects. What You Will Learn At the end of this program, you will be able to: Describe and understand the relevant methods and techniques to identify, acquire, and analyze relevant data points for decision making in projects Articulate analytical questions to focus on the real problems Identify potential shortfalls and gaps in project decision-making and apply actions to mitigate them Introduction to Data-Informed Decision Making The different types of decisions in projects Data-informed decision-making framework Shortcomings with traditional decision-making models Understanding the value of data for project delivery Issues in project management and how data can help solve them The DIKW Pyramid (Data, information, knowledge, wisdom) Types of data in projects Applying Data Analytics Understanding Data Analytics Levels of Data Analytics Data-Informed vs. Data-Driven Challenges and How to Address Them Project data availability and collection Data quality Behavioral blockers and bias Skills and Techniques Data literacy and data fluency Communicating for informed decision-making Monitoring and evaluating project decisions Implementing Data-Informed Decision Making Decision-making strategy and governance Project data culture Continuously improving decision quality Future Outlook for Decision-Making in Projects Data and AI Digital Decisioning

Overview Embarking on a journey with the 'HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma' course presents an illuminating path into the intricacies of modern business management. Diving deep into twelve comprehensive modules, learners uncover the nuances of Human Resource Management, from recruitment strategies to understanding the bedrock of the UK's payroll system. Grasping the essence of organisational culture, performance metrics, and the technicalities of PAYE and Tax, participants will be primed to navigate the complex web of today's corporate world with confidence and finesse. With a spotlight on both theoretical insights and real-world applications, this diploma aims to equip you with a robust foundation in HR processes and the pivotal role of finance in business management. As businesses evolve, so does the demand for specialists who are adept at merging HR practices with financial wisdom. By the end of this course, you'll be empowered with the expertise to bridge these two vital domains, heralding success in the ever-evolving business landscape. Your learning journey culminates with a comprehensive conclusion and a pointer to the subsequent steps, ensuring you're not only well-versed in the subject but also equipped to apply this knowledge in practical scenarios. A world of opportunities awaits the ambitious learner, and this course is your compass to navigate it. Learning Outcomes Demonstrate a clear understanding of HR management's core principles and practices. Apply the UK recruitment legislation and industry statistics in organisational contexts. Design and implement effective strategies for employee training, development, and performance appraisals. Master the intricacies of payroll management, including the specifics of the UK system. Interpret and manage financial records, statistics, and the core elements of PAYE, Tax, and NI. Why buy this HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Individuals looking to launch or advance their careers in HR and financial management. Business owners wanting a deeper understanding of HR processes and financial systems. Job seekers aiming to diversify their skill set in the corporate domain. Graduates keen on specialising in HR and finance. HR professionals wishing to update their knowledge in line with the latest UK legislations and industry standards. Prerequisites This HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma does not require you to have any prior qualifications or experience. You can just enrol and start learning.This HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma 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. Career path Human Resource Manager: £30,000 - £55,000 Annually Recruitment Specialist: £25,000 - £50,000 Annually Payroll Administrator: £20,000 - £35,000 Annually Financial Accountant: £35,000 - £60,000 Annually Tax Consultant: £28,000 - £52,000 Annually Bookkeeping Specialist: £22,000 - £40,000 Annually Course Curriculum Module 01: Human Resource Management Human Resource Management 01:00:00 Module 02: HR Planning, Recruitment and Selection HR Planning, Recruitment and Selection 01:00:00 Module 03: Induction, Training and Development Induction, Training and Development 00:45:00 Module 04: HR Department's Responsibilities HR Department's Responsibilities 00:45:00 Module 05: The UK Recruitment Legislations Guide The UK Recruitment Legislations Guide 00:20:00 Module 06: Organizational Culture Organisational Culture 00:45:00 Module 07: Motivation, Counseling, Resignations and Retirement Motivation, Counseling, Resignations and Retirement 01:00:00 Module 08: Performance Appraisal & Remuneration Policy Performance Appraisal 00:45:00 Remuneration Policy 00:15:00 Module 09: Records and Statistics Records and Statistics 00:30:00 Module 10: Industrial Relations Industrial Relations 00:15:00 Module 11: The UK Recruitment Industry Statistics The UK Recruitment Industry Statistics 00:25:00 Module 12: Introduction to Payroll Management Introduction to Payroll Management 00:10:00 An Overview of Payroll 00:17:00 Module 13: The UK Payroll System Running the payroll - Part 1 00:14:00 Running the payroll - Part 2 00:18:00 Manual payroll 00:13:00 Benefits in kind 00:09:00 Computerised systems 00:11:00 Total Photo scenario explained 00:01:00 Module 14: Brightpay Brightpay conclude 00:03:00 Find software per HMRC Brightpay 00:03:00 Add a new employee 00:14:00 Add 2 more employees 00:10:00 Payroll settings 00:04:00 Monthly schedule - Lana 00:14:00 Monthly schedule - James 00:08:00 Directors NI 00:02:00 Reports 00:02:00 Paying HMRC 00:05:00 Paying Pensions 00:04:00 RTI Submission 00:02:00 Coding Notices 00:01:00 Journal entries 00:07:00 Schedule 00:03:00 AEO 00:06:00 Payroll run for Jan & Feb 2018 00:13:00 Leavers - p45 00:03:00 End of Year p60 00:02:00 Installing Brightpay 00:13:00 Module 15: Paye, Tax, NI PAYE TAX 00:13:00 NI 00:11:00 Pensions 00:06:00 Online calculators 00:07:00 Payslips 00:03:00 Journal entries 00:07:00 Conclusion and Next Steps Conclusion and Next Steps 00:08:00 Assignment Assignment - HR, Payroll, Paye, Tax, Accounting and Bookkeeping Diploma 00:00:00

This course teaches you to prepare for AZ-104 Certification. The course gives you the knowledge to make you Azure ready and become a better Azure administrator. All the changes that were made to AZ-103 by Microsoft to make it AZ-104 are incorporated in this course.

Feeling Stuck in Your Career? The Data Science with Python (30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Science with Python bundle provides an engaging learning experience, helping you learn skills across various disciplines. With Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Science with Python bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. 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