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Mastering assertiveness skills is indispensable for navigating interpersonal interactions with confidence and effectiveness. In today's interconnected world, where communication plays a pivotal role, assertiveness empowers individuals to express their needs, opinions, and boundaries assertively, without infringing on the rights of others. This skill enables individuals to advocate for themselves, negotiate win-win solutions, and handle conflicts constructively. Whether in professional settings, personal relationships, or everyday encounters, assertiveness fosters mutual respect and understanding. By honing assertiveness skills, individuals can assert their viewpoints without aggression or passivity, thereby fostering healthy communication dynamics and building trust. Through assertiveness training, individuals learn techniques to communicate assertively, assert their rights, and assertively decline unreasonable requests or demands. Ultimately, mastering assertiveness skills cultivates self-confidence, enhances interpersonal relationships, and equips individuals with the tools to navigate diverse social and professional scenarios adeptly. Key Features This Mastering Assertiveness Skills Course Include: This Mastering Assertiveness Skills Course is CPD Certified Developed by Specialist Lifetime Access Course Curriculum Mastering Assertiveness Skills Course Module 1: Introduction to Assertiveness Skills Module 2: Building Self-Confidence Module 3: Self-Awareness and Emotional Intelligence Module 4: Effective Communication Strategies Module 5: Assertiveness in Social Situations Module 6: Assertiveness in the Workplace Module 7: Overcoming Fear and Anxiety Module 8: Self-Esteem and Assertiveness Learning Outcomes: Develop unwavering self-confidence through tailored strategies for personal empowerment. Hone emotional intelligence, enhancing self-awareness and fostering healthier relationships. Acquire effective communication skills, becoming a masterful conveyer of ideas and thoughts. Navigate social scenarios with finesse, projecting assertiveness in diverse situations. Excel in workplace interactions, positioning yourself as a confident and respected professional. Confront fears and anxiety, emerging with newfound resilience and mental fortitude. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Mastering Assertiveness Skills course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Anatomy and Physiology. Moreover, this course is ideal for: Individuals seeking personal growth and enhanced interpersonal skills. Professionals aiming to excel in workplace communication and dynamics. Students preparing to navigate social situations with confidence. Anyone determined to overcome fears and anxiety, unlocking their true potential. Individuals desiring a boost in self-esteem and assertiveness in various life aspects. Requirements There are no requirements needed to enrol into this Mastering Assertiveness Skills course. We welcome individuals from all backgrounds and levels of experience to enrol into this Mastering Assertiveness Skills course. Career path After finishing this Mastering Assertiveness Skills course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Mastering Assertiveness Skillsv are: Human Resources Specialist Team Leader or Manager Sales Representative Counsellor or Therapist Public Relations Specialist Customer Service Manager Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Take our course "Criminal Psychology: Criminal Intelligence Analysis" to learn the mysteries of criminal behaviour. Explore research methodologies, dive into the principles of intelligence analysis, and learn about criminal psychology. Learn how the criminal justice systems in Wales and England operate, develop your abilities as a criminal intelligence analyst, and make use of cutting-edge technology. With this extensive course, you will gain the information and skills necessary to succeed in the field of criminal intelligence, covering everything from intelligence-led policing to decision-making and counterterrorism. Key Features: CPD Certified Developed by Specialist Lifetime Access Students in this course will learn how to analyse crime data and gain an understanding of criminal behaviour through Criminal Intelligence Analysis. They will learn research methods and techniques to study crimes effectively. Students will explore criminal psychology and gain insights into how criminals think and behave. The course covers the workings of the criminal justice system in England and Wales, focusing on laws and procedures. Learners will develop essential skills and competencies needed for a career in criminal intelligence analysis, such as critical thinking and decision-making. They will also learn to use modern technology and tools to analyse crime data. The course includes training in intelligence-led policing, where students will learn to use intelligence to guide police strategies. Additionally, there is a focus on counterterrorism, teaching students how to use intelligence analysis to prevent terrorist activities. Overall, students will be equipped with the knowledge and skills to work effectively in criminal intelligence and law enforcement. Course Curriculum: Module 01: Introduction to Intelligence Analysis Module 02: Research Methods in Crime Analysis Module 03: Understanding Criminal Psychology Module 04: The Criminal Justice System in England and Wales Module 05: Criminal Intelligence Analysis Module 06: Criminal Intelligence Analyst - Skills and Competencies Module 07: Technology in Criminal Intelligence Analysis Module 08: Intelligence-Led Policing Module 09: Decision Making in Criminal Intelligence Analysis Module 10: Counterterrorism and Criminal Intelligence Analysis Learning Outcomes: Understand principles of intelligence analysis in crime contexts. Apply research methods to crime analysis tasks effectively. Analyse criminal psychology theories and their applications. Comprehend the criminal justice system in England and Wales. Develop skills for effective criminal intelligence analysis. Utilise technology for enhanced criminal intelligence analysis. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in criminal intelligence analysis. Those pursuing careers in law enforcement. Professionals in the criminal justice system. Students studying criminology or related fields. Individuals aiming to enhance analytical skills in crime contexts. Career path Criminal Intelligence Analyst Crime Analyst Intelligence Officer Counterterrorism Analyst Police Detective Security Consultant Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

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

Master the strategies of handing medicine efficiently and safely with the Safe Handling of Medication course. Medicine should be handled carefully as human lives depend on it. Medicine is prepared to make you well, but if you do not use it properly, you may sick and even it may cause death. The purpose of the course is to aware you how to handle medicine safely. The course presents a general overview of the legislation and guidelines regarding the management of medication management settings. The principal legal aspects of handling medicines will be covered in the course. Therefore, you will gain all the essential skills for Health's UK Core Skills Training Framework (CSTF), the Care Quality Commission (CQC) recommendations for health care and social care providers. The course guides you to know the procedures for ordering, receiving, administering, storing and disposing of medicines safely. You will explore the steps of obtaining and receiving supplies. You will also learn how drugs are administered and how problems may occur. Upon completion, you will be able to know the techniques for storing and disposing of the drugs safely and securely. Who is this course for? Safe Handling of Medication is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Safe Handling of Medication is open to all from all academic backgrounds and there is no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Diploma in Safe Handling of Medication Introduction to Safe Handling of Medicines 00:30:00 Legislation and guidance of medication management 00:30:00 Principles of Safe and Appropriate Handling of Medicines 00:45:00 Medication Risk Assessment Guidance 00:30:00 Consent to Treatment 00:30:00 Handling Medicines in Social Care Settings 01:00:00 Requirements for Specific Services 00:45:00 Levels of Care and Support 00:15:00 Procedure for Handling Medication 00:30:00 The Six Rights of Medication Administration 00:30:00 Covert Administration of Medication 00:30:00 Recording Procedures 00:15:00 Storage of Medication 00:15:00 Transfer and Disposal of Medication 00:30:00 Drug Formulation and Ways of Taking It 01:00:00 Mock Exam Mock Exam - Safe Handling of Medication 00:20:00 Final Exam Final Exam - Safe Handling of Medication 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Course Overview Learn how to manage your company on global terms and understand overseas finance with this course on International Business. Business managers or entrepreneurs who think big, need to be flexible and knowledgeable when it comes to operating outside of national boundaries. Taking this training will enable you to work further afield and create new and exciting opportunities for yourself. This Overseas Business tutorial covers every critical aspect of trading and commercialism in marketplaces outside of the UK. You will gain the confidence to work in global capital markets anywhere and create strategies that will succeed in unique economic environments. The contents include a masterclass on demographic studies and intercontinental agreements. So unleash your Transnational ambition by enrolling now and learn how to succeed beyond the UK borders. This best selling International Business has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth International Business is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The International Business 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 International Business 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 International Business, 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 International Business 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 International Business 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.

Dive into the world of sustainable architecture and environmental design with the 'LEED V4 - Diploma in Building Design and Construction at QLS Level 4.' This comprehensive course, meticulously structured over eleven units, offers a deep exploration of green building principles and practices. Starting with an introductory unit that sets the stage for a transformative learning journey, the course progresses through a series of meticulously crafted modules. Each unit, from the integrative process to regional priority considerations, is designed to enhance understanding and skills in creating environmentally responsible and resource-efficient buildings. The curriculum culminates with a completion unit, ensuring learners emerge with a holistic grasp of the subject matter. The diploma not only educates but inspires, focusing on critical areas such as location and transportation, sustainable site development, water efficiency strategies, energy and atmosphere considerations, and the use of sustainable materials and resources. It also delves into the nuances of indoor environmental quality and innovative approaches to building design and construction. This course is an invaluable resource for those aspiring to make a significant impact in the building and construction industry, equipping them with the knowledge to design and construct buildings that align with the advanced standards of LEED V4. Learning Outcomes Acquire comprehensive knowledge of sustainable building practices and principles. Develop expertise in optimizing water usage and energy efficiency in construction. Gain skills in selecting and utilizing sustainable materials and resources. Understand the significance of indoor environmental quality in building design. Master innovative strategies for building design and construction with a focus on regional priorities. Why choose this LEED V4 - Diploma in Building Design and Construction at QLS Level 4 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 LEED V4 - Diploma in Building Design and Construction at QLS Level 4 course for? Aspiring architects and designers keen on specializing in sustainable construction. Professionals in the construction industry aiming to enhance their eco-friendly building skills. Environmental consultants seeking to deepen their knowledge of green building practices. Urban planners interested in incorporating sustainable strategies in city designs. Project managers in the construction sector aiming to adopt LEED V4 standards. Career path Sustainable Architect: £30,000 - £50,000 Green Building Consultant: £35,000 - £55,000 Environmental Design Coordinator: £32,000 - £48,000 Urban Sustainability Planner: £28,000 - £45,000 Resource Efficiency Manager: £34,000 - £52,000 Eco-friendly Construction Project Manager: £36,000 - £60,000 Prerequisites This LEED V4 - Diploma in Building Design and Construction at QLS Level 4 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 £95 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 Unit 01: Introduction Introduction 00:01:00 Getting Started 00:04:00 Minimum Program Requirements 00:07:00 Rating System Selection 00:07:00 Unit 02: Integrative Process Integrative Process 00:04:00 Integrative Project Planning and Design 00:02:00 Unit 03: Location & Transportation Overview 00:03:00 Neigbourhoud Development 00:03:00 Sensitive Land 00:02:00 Surrounding Density & Diverse Uses 00:07:00 High Priority Site 00:02:00 Access to Quality Transit 00:06:00 Bicycle Facilities 00:06:00 Reduced Parking Footprint 00:04:00 Green Vehicles 00:04:00 Unit 04: Sustainable Sites Overview 00:02:00 Construction Activity Pollution Prevention 00:03:00 Environmental Site Assessment 00:03:00 Restore or Protect Habitat 00:04:00 Open Space 00:03:00 Rainwater Management 00:03:00 Heat Island Reduction 00:04:00 Light Pollution Reduction 00:05:00 Site Master Plan 00:02:00 Tenant Design and Construction Guidelines 00:02:00 Places of Respite 00:03:00 Direct Exterior Access 00:02:00 Joint Use Facilities 00:03:00 Unit 05: Water Efficiency Overview 00:01:00 Prereq Outdoor Water Use 00:03:00 Prereq Indoor Water Use 00:04:00 Prereq Building Water Metering 00:02:00 Credit Outdoor Water Use 00:02:00 Credit Indoor Water Use 00:03:00 Cooling Tower Water use 00:03:00 Building Water Metering Credit 00:02:00 Unit 06: Energy & Atmosphere Overview 00:02:00 Fundamental Commissioning & Verification 00:04:00 Minimum Energy Performance 00:05:00 Prereq Building Level Energy Metering 00:02:00 Fundamental Refrigerant Management 00:02:00 Enhanced Commissioning 00:05:00 Minimum Energy Performance 00:04:00 Advanced Energy Metering 00:02:00 Demand Response 00:03:00 Renewable Energy Production 00:02:00 Enhanced Refrigerant Management 00:03:00 Green Powerand Carbon Offsets 00:02:00 Unit 07: Materials & Resources Overview 00:02:00 Storage and Collection of Recyclables 00:03:00 Construction and Demolition Waste Management Planning 00:02:00 Preq PBT Source Reduction - Mercury 00:03:00 Building Life Cycle Impact Reduction 00:05:00 BPDO Environmental Product Declaration 00:04:00 BPDO Sourcing of Raw Materials (2020 Update Web) 00:03:00 BPDO Material Ingredients 00:05:00 PBT Source Reduction - Mercury Credit 00:02:00 PBT Source Reduction - Lead Cadmium Copper 00:03:00 Furniture and Medical Furnishings 00:04:00 Design for Flexibilty 00:02:00 Construction and Demolition Waste Management 00:03:00 Unit 08: Indoor Environment Quality Overview 00:01:00 Min Indoor Air Quality Performance 00:06:00 Environmental Tobacco Smoke Control 00:03:00 Minimum Accoustic Performance 00:03:00 Enhanced Indoor Air Quality Strategies 00:02:00 Low Emitting Materials 00:03:00 Construction Indoor Air Quality Management Plan 00:04:00 Indoor Air Quality Assessment 00:03:00 Thermal Comfort 00:04:00 Interior Lighting 00:06:00 Daylight 00:06:00 Quality Views 00:03:00 Accoustic Performance 00:03:00 Unit 09: Innovation Innovation Credit 00:03:00 Innovation LEED AP 00:01:00 Unit 10: Regional Priority Regional Priority Overview 00:01:00 Regional Priority Credit 00:02:00 Unit 11: Completion Completion 00:01:00 Assignment Assignment - LEED V4 - Diploma in Building Design and Construction at QLS Level 4 02:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access