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This unique Facilities Management offers a thorough introduction to one of the world's most in-demand specialized professions. Learn about the operations and goals of facilities management at an advanced level, gaining the skills and information you will need to pursue a fulfilling career for the rest of your life. The course content teaches numerous interconnected disciplines that create facilities management, with no prior knowledge or expertise required. This course ensures that an organization has the resources and infrastructure to fulfil its tasks successfully and efficiently, both in the public and private sectors. The Facilities Manager is in charge of everything from building maintenance and renovations to contract management, security, and sustainability. Management : Facilities Management is a dynamic and demanding field, which can also be quite rewarding for successful candidates. To operate as a successful organization, a business model requires effective facilities management. By taking this Facilities Management course and taking the required measures, you can gain the skills needed to manage a high-performing facility. Learning Outcomes After completing this course, you will be able to: Learn everything there is to know about facility management. Establish the significance of facility management. Investigate facility management strategies. Create a long-term project planning strategy. Learn how to manage space and services. Learn the fundamentals of risk management, change management, and human resource management. Recognize the UK's facilities management rules and regulations. Why Choose Level 7 Diploma in Management : Facilities Management Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. This Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Courses are included in this bundle Course Course 01: Management : Facilities Management Course 02: Workplace Stress Management Course 03: Anger Management ***Other Benefits of this Course 3 PDF Certificate Free Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam Expert Tutor Support [ Note: Free PDF certificate as soon as completing the course ] ***Management : Facilities Management*** Detailed course curriculum of the Management : Facilities Management Course: Module 01: Introduction to Facilities Management The Origins of Facilities Management (FM) Definitions of Facilities Management Functions of Facilities Managers The Facility Management Life Cycle Module 02: Developing a Strategy for Facilities Management Introduction Developing a Facilities Management Strategy Strategic Analysis of Facilities Requirements Developing Solutions Strategy Implementation Module 03: Facilities Planning Real Estate Management Space Management Design Briefing Post-occupancy Evaluations Real Estate Options Totally Serviced Workplaces Module 04: Managing Office WorkSpace Introduction Space and Service Management Design of the Workplace Workspace Remodelling to Optimise Performance Workplace Effectiveness Workplace Security Power Security Module 05: Vendor Management & Outsourcing Service Providers and Suppliers Types of Relationship What Kind of Relationship is Needed? Contractual Arrangements and Partnering Gain-sharing Continual Improvement Module 06: Managing Change Change in an Organisational Setting Communicating Change Responsibilities of Those Managing Change Resolving cultural Conflict Module 07: Managing Human Resources Appropriate Management Structure Employment Obligations Functions, Job Descriptions and Skills Performance Appraisal Module 08: Managing Risk Definition of Risk Types of Risks Impact of Risk on Organisation Principles and Aims of Risk Management Risk Management Standards Risk Control Techniques Module 09: Facilities Management Service Providers Preliminary Approach Managing Agent Managing Contractor Managed Budget Total Facilities Management Determining the Best Approach Module 10: Managing Specialist Services ICT Services Health Care Services Security and Protection Services Custodial Services Professional Services Risks, Insurance and Indemnities Module 11: Public-Private Partnerships and Facilities Management Public-private Partnerships (PPPs) Procurement and Contractual Approach Main types of Service Provided Payment Mechanisms Facilities Management and Private Sector Participation Relevance and Benefits of Private Investment and Partnership Problems with Private Investment and Partnership Module 12: Health, Safety, Environment and UK Law Sustainability and Environmental Issues Relevant Legislation General Policy Corporate Social Responsibility Organisation and Administration Workers' Rights Disability Discrimination Safety Rules and Practice ------------------------- ***Workplace Stress Management*** Module 01: Workplace Stress Module 02: Rational and Irrational Beliefs Module 03: The ABC Framework of REBT Module 04: Cognitive Therapy (CT) Module 05: Cognitive Behavioural Therapy (CBT) in the Workplace Module 06: Conclusion ------------------------- ***Anger Management*** Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger Assessment Method After completing each module of the Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Management : Facilities Management This course is perfect for - Students Fresh graduates Job Seekers Anyone interested in business analysis People who are already employed in related fields and wish to improve their knowledge and abilities. Requirements Management : Facilities Management Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path Management : Facilities Management The course could prove instrumental in taking your career to the next level. Typical job titles and roles that fall within the field of FM include the following: Asset Manager Assistant Property Manager Construction Manager Director, Physical Plant Developer Energy Manager Certificates Certificate of completion Digital certificate - Included

Hospitality Management: Hospitality Management Course Online This Hospitality Management: Hospitality Management Course aims to provide practical guidance and specialist knowledge on topics such as housekeeping, catering, front office operations, quality of service, and staff training requirements. This Hospitality Management: Hospitality Management Course is an in-depth training program for new managers and aspiring professionals in the hospitality and tourism industries. This Hospitality Management: Hospitality Management Course will give you a solid understanding of the hospitality industry and its key areas, with a focus on different types of hotels and hospitality roles. This Hospitality Management: Hospitality Management Course will teach you how to manage all hotel operations as well as develop an effective service management program that incorporates safety, security, quality, and cutting-edge technology. By the end of this Hospitality Management: Hospitality Management Course, you will gain all of the necessary skills and knowledge to become a successful Hotel Manager and advance your career in the Hospitality sector. Main Course: Level 5 Hospitality Management Course Free courses included with Hospitality Management: Hospitality Management Course Course 01: Level 4 Time Management Course 02: Level 2 Food Hygiene and Safety for Catering Course 03: Food Allergen Awareness Training Course 04: Level 7 Diploma in Event Management Course 05: Level 3 HACCP Training Course Special Offers of this Hospitality Management: Hospitality Management Course: This Hospitality Management: Hospitality Management Course includes a FREE PDF Certificate. Lifetime access to this Hospitality Management: Hospitality Management Course Instant access to this Hospitality Management: Hospitality Management Course 24/7 Support Available to this Hospitality Management: Hospitality Management Course [ Note: Free PDF certificate will provide as soon as completing the Hospitality Management: Hospitality Management Course] Hospitality Management: Hospitality Management Course Online Course Curriculum of Hospitality Management: Hospitality Management Course Module 01: An Overview of the Hospitality Industry Module 02: Travel and Tourism Module 03: Forces Affecting Growth and Change in the Hospitality Industry Module 05: Understanding the Management of Food and Beverage Operations Module 06: Understanding Accounting in Hospitality Module 07: Restaurant Operations Module 08: Balance Sheet and the P&L Statement Module 09: Budgets Assessment Method of Hospitality Management: Hospitality Management Course After completing Hospitality Management: Hospitality Management Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Hospitality Management: Hospitality Management Course After completing the Hospitality Management: Hospitality Management Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Hospitality Management: Hospitality Management Course Online This Hospitality Management: Hospitality Management Course is ideal for anyone who works in or aspires to work in the hospitality industry, which includes the following professions: - Hospitality Manager, Hotel Manager, Housekeeping Manager, Catering Manager. Requirements Hospitality Management: Hospitality Management Course Online To enrol in this Hospitality Management: Hospitality Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Hospitality Management: Hospitality Management Course. Be energetic and self-motivated to complete our Hospitality Management: Hospitality Management Course. Basic computer Skill is required to complete our Hospitality Management: Hospitality Management Course. If you want to enrol in our Hospitality Management: Hospitality Management Course, you must be at least 15 years old. Career path Hospitality Management: Hospitality Management Course Online Candidates who successfully complete our Hospitality Management: Hospitality Management Course may pursue a wide range of careers, including: Manager of Maintenance Manager of Marketing Manager of Operations Manager of Sales Event Planner

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

This course will help you get started with the Vim editor. You will start the course by learning how to use Vim to make simple edits and as you move ahead, you will become comfortable in editing multiple files at once, creating macros, making global substitutions in files, formatting, normalizing data, and a lot more.

Step into the world of cleanliness and precision with our Level 5 Certificate in British Cleaning Course, designed to equip you with the essential skills and knowledge needed to excel in the cleaning industry. In the UK alone, the cleaning sector employs over 700,000 individuals, offering a diverse array of opportunities for those with the right expertise. Delve into modules covering everything from residential cleaning practices to effective office cleaning strategies, ensuring you're adept at handling any cleaning challenge that comes your way. With a focus on safety, hygiene, and business acumen, this British Cleaning comprehensive course prepares you to launch your own cleaning venture or elevate your career within existing cleaning enterprises. Whether you aspire to manage unusual waste situations, lead teams with confidence, or develop marketing strategies for business expansion, our British Cleaning Course provides the groundwork for success in this thriving industry. Join us and become a vital cog in the machinery of cleanliness. Key Features This Level 5 Certificate in British Cleaning Course Includes: This British Cleaning Course CPD Certified Free Certificate Developed by Specialist Lifetime Access Course Curriculum Level 5 Certificate in British Cleaning Course: Module 01: Exploring the Cleaning Profession Module 02: The Varied Landscape of Cleaning Roles Module 03: Cleaning Tools, Products, and Attire Essentials Module 04: Residential Cleaning Practices Module 05: Cleaning Protocols for Food and Commercial Kitchens Module 06: Maintaining Hygiene in Bathrooms and Toilets Module 07: Effective Office Cleaning Strategies Module 08: Cleaning External Surfaces and Outdoor Spaces Module 09: Managing Unusual Waste Situations Module 10: Safety in Chemical Usage, Key Management, and Alarm Codes Module 11: Launching a Cleaning Venture and Strategic Planning Module 12: Business Operation with a Focus on Service Quality Module 13: Ensuring Customer Satisfaction Module 14: Supervision and Team Management Module 15: Strategies for Marketing, Advertising, and Sales Module 16: Business Expansion Tactics Module 17: Insurance, Taxation, and Supplementary Equipment for Business Owners Learning Outcomes This Level 5 Certificate in British Cleaning Course Comes with: Evaluate diverse cleaning roles understanding their significance in varied settings. Apply appropriate cleaning tools, products, and attire for efficient practices. Implement residential and commercial cleaning protocols adhering to industry standards. Execute hygiene practices in bathrooms, kitchens, offices, and external environments. Develop strategic plans for launching, managing, and expanding cleaning ventures. Navigate insurance, taxation, and supplementary equipment for successful business operations. Certification After completing this Level 5 Certificate in British Cleaning course, you will get a free Certificate. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? Level 5 Certificate in British Cleaning Course Individuals aspiring to excel in the professional cleaning industry. Entrepreneurs seeking to establish and grow a cleaning services business. Cleaning staff aiming to enhance their knowledge and career opportunities. Managers or supervisors overseeing cleaning teams in diverse environments. Business owners looking to improve service quality and customer satisfaction. Career path Level 5 Certificate in British Cleaning Course Cleaning Supervisor - £20K to 30K/year. Commercial Cleaner - £18K to 25K/year. Hygiene Manager - £25K to 35K/year. Waste Management Officer - £22K to 28K/year. Cleaning Business Owner - £25K to 40K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Description: Six sigma is an industry standard applicable to any business. It can be used in order to improve procedures and decrease waste, which in turn increases company profits. If that rings your bell, then you definitely want to take this Level 3 Diploma in Six Sigma & Lean Process course. This course is designed to give you a basic idea about the six sigma procedures and how each step is followed. Like all good materials, this course also starts with a basic introduction to six sigma and the lean process. You will discover a little of lean's history and the five methods defined by Toyota with basic principles. Next you look into 'The Toyota Way' where fourteen principles are categorized into four parts: Philosophy, Process, People & Partners and Problem Solving. Following that you also learn about the TPS system, the five principles of lean business and get a glimpse into each of these principles. Finally you will find a few concepts that usually aids in the improvement of any given process. Overall this course could prove to be a great asset for anyone wanting to get a six sigma qualification or belt. So instead of waiting, you should get this course now. Who is the course for? Professionals who want to know how six sigma works Businessmen interested in improving their work process by reducing waste to increase profitability Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Level 3 Diploma in Six Sigma & Lean Process is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: Project Manager Quality Assurance Engineering Lean Manufacturing Managers Entrepreneurs Lean Process Module One - Getting Started 00:30:00 Module Two - Understanding Lean 01:00:00 Module Three - Liker's Toyota Way 01:00:00 Module Four - The TPS House 01:00:00 Module Five - The Five Principles of Lean Business 01:00:00 Module Six - The First Improvement Concept (Value) 01:00:00 Module Seven - The Second Improvement Concept (Waste) 01:00:00 Module Eight - The Third Improvement Concept (Variation) 01:00:00 Module Nine - The Fourth Improvement Concept (Complexity) 01:00:00 Module Ten - The Fifth Improvement Concept (Continuous Improvement) 01:00:00 Module Eleven - The Improvement Toolkit 00:30:00 Module Twelve - Wrapping Up 01:30:00 Six Sigma Six Sigma Basics 00:15:00 Improvement Tools 00:30:00 Management Tools for Generating Ideas 00:15:00 Continuous Improvement 00:30:00 Customer Relationships 00:30:00 Activities Level 3 Diploma in Six Sigma & Lean Process- Activities 00:00:00 Recommended Reading Recommended Reading : Level 3 Diploma in Six Sigma & Lean Process 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Level 3 Diploma in Six Sigma & Lean Process 00:30:00 Final Exam Final Exam- Level 3 Diploma in Six Sigma & Lean Process 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

The Energy Management Mini Bundle offers a smart mix of technical systems and regulatory awareness. From heating and ventilation to gas operations and renewable alternatives, this bundle gives you insight into how modern energy setups are structured—and kept safe. With modules on PUWER (Provision and Use of Work Equipment Regulations) and basic electrical engineering, it supports those managing energy equipment or supporting technical environments. Whether you're looking at solar or sockets, this course keeps the voltage under control and the learning consistent. ✅ Learning Outcomes Understand core systems used in renewable energy installations. Learn basic concepts in domestic and trade-level gas engineering. Explore HVAC components and general maintenance structures. Gain clarity on PUWER guidelines and equipment responsibilities. Identify common electrical functions within energy-based systems. Navigate energy-related processes in regulated environments. ✅ Who is this Course For Learners interested in energy systems and technical frameworks. Staff working near gas or electrical installations and equipment. HVAC support workers seeking system knowledge and basics. Admins assisting in energy compliance or risk documentation. Junior engineers involved in gas, HVAC, or renewables. Facilities staff maintaining heating, gas or ventilation areas. Safety personnel working around equipment-based operations. Energy consultants building familiarity with infrastructure systems. ✅ Career Path Energy Support Technician – £30,000 average UK salary HVAC Assistant – £28,000 average UK salary Junior Gas Engineer – £32,000 average UK salary Electrical Systems Assistant – £29,500 average UK salary PUWER Compliance Clerk – £27,500 average UK salary Renewable Energy Trainee – £31,000 average UK salary

The Public Administration Mini Bundle pulls together the essentials behind well-oiled governance—without overcomplicating things. From administrative structure to business law and economics, this bundle addresses the mechanics of organised systems and the rules that hold them together. With modules in HR and compliance-related topics, it's a solid foundation for understanding workplace conduct, policy, and financial context. If you’re the kind of person who keeps forms filed alphabetically and policies highlighted for fun—well, this might be dangerously enjoyable. ✅ Learning Outcomes Develop strong administrative techniques for structured office operations. Understand how business law supports public and internal governance. Learn basic economics relevant to public service decisions. Explore HR responsibilities including communication and team conduct. Recognise organisational processes for maintaining ethical boundaries. Navigate documents and workflows using admin best practices. ✅ Who is this Course For Admin staff in government or public-facing organisations. HR professionals exploring regulatory or administrative structures. Entry-level civil service applicants needing foundational knowledge. Assistants supporting compliance or workplace governance policies. Office managers involved in public service departments. Students interested in law, economics or organisational functions. Clerical workers involved in public documentation and reporting. Team leads managing basic workplace structures and workflow. ✅ Career Path Administrative Officer – £26,000 average UK salary HR Assistant – £25,500 average UK salary Public Sector Administrator – £28,000 average UK salary Compliance Support Officer – £30,000 average UK salary Legal Administrative Assistant – £27,000 average UK salary Government Operations Clerk – £25,500 average UK salary

Prepare for diverse healthcare roles with our diploma bundle. Includes Nursing Assistant, Phlebotomy Technician, Clinical Observation, and Medical Administration training. Ideal for those seeking careers in healthcare and medical support.