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Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00
Delving into a lucrative field where annual earnings range from £40,000 to over £70,000, prepare yourself to become a pivotal player in the UK construction industry. Dive deep into the intricate framework of quantity surveying from our comprehensive Quantity Surveying course, architecture, and construction with a meticulously designed course bundle that's fully charged with rich theoretical knowledge, opening up a world of potential opportunities. Immerse yourself in this comprehensive Quantity Surveying course bundle designed to equip you with the theoretical foundation necessary to excel in the world of quantity surveying, architecture, and construction. By investing in this invaluable knowledge, you'll gain a competitive edge, broadening your horizons and opening doors to a myriad of exciting opportunities in the dynamic construction industry. Let your passion for quantity and precision fuel your journey towards professional success. Discover the intricacies of construction cost estimation and the significance of the WELL Building Standard in sustainable design. Navigate the complexities of the Construction Industry Scheme (CIS) and explore the realm of Revit Architecture for interior design. Unleash the power of theoretical expertise and elevate your professional trajectory to new heights. The opportunities are boundless, and the journey begins here. This Bundle Comprises the Following CPD Accredited Courses: Course 1: Quantity Surveyor Diploma Course 2: Land Surveying Course 3: Architectural Studies Course 4: Construction Management Course 5: Construction Cost Estimation Diploma Course 6: WELL Building Standard Course 7: Construction Industry Scheme (CIS) Course 8: Revit Architecture Ultimate Interior Design Course Learning Outcomes: Gain a comprehensive understanding of quantity surveying principles. Deepen your knowledge in architectural design and construction management. Learn to efficiently estimate costs. Understand the WELL Building Standard and its importance in sustainable building. Master the complexities of the Construction Industry Scheme (CIS). Acquire a theoretical understanding of Revit Architecture for interior design. Quantity Surveyor Diploma: Delve into quantity surveying, mastering the theoretical knowledge required to assess project costs and contracts critically. Land Surveying: Explore the intricate task of measuring land, helping you understand the foundation of all construction works and how to estimate the required quantity of materials. Architectural Studies: Journey into architectural theory, giving a deeper understanding of building design and the required resources. Construction Management: Grasp the nuances of project management in the construction sector, where efficient use of quantity and quality is crucial. Construction Cost Estimation Diploma: Perfectly estimating the quantity of materials and costs in construction projects is an invaluable skill in today's construction industry. WELL, Building Standard: Discover the importance of WELL standards in creating buildings that enhance human health and well-being. Construction Industry Scheme (CIS): Navigate the complexities of the CIS and understand its vital role in handling payments in the construction industry. Revit Architecture Ultimate Interior Design Course: Uncover the theoretical principles of interior design using Revit Architecture, learning how to manage quantity in space planning. Ready to embark on this exciting journey? Enrol today to redefine your future in the construction industry! CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The target audience for the course is: Individuals with a keen interest in the theory behind construction and quantity surveying. Architecture and Civil Engineering students aiming to augment their theoretical knowledge. Professionals in the construction industry seeking to enhance their understanding of quantity surveying. Those looking to shift their career into the construction sector, especially quantity surveying. Requirements Without any formal requirements, you can delightfully enrol in thiscourse. Career path Our course will prepare you for a range of careers, including: Quantity Surveyor - £40K to £60K/year Land Surveyor - £25K to £40K/year Architectural Designer - £27K to £45K/year Construction Manager - £42K to £70K/year Cost Estimator - £30K to £55K/year WELL Building Standard Specialist - £35K to £60K/year Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.
Unleash the power of a resilient back with our groundbreaking course. In a world where physical health is paramount, fortify your foundation with invaluable insights. Dive into the science of injury prevention, unraveling the secrets to maintaining a robust spine. Discover the art of identifying lurking risks, ensuring you stay one step ahead. Key Features: CPD Certified Developed by Specialist Lifetime Access From the nuances of posture to the finesse of lifting techniques, master the essentials. Engage in back-friendly exercises and sculpt a body that stands resilient. Navigate injury prevention strategies and learn the alchemy of creating safe environments. Elevate your vitality and future-proof your physical well-being with this transformative journey. Course Curriculum Module 01: Introduction to Back Injury Prevention Module 02: Identifying Risk Factors for Back Injuries Module 03: Maintaining Proper Posture Module 04: Safe Lifting Techniques Module 05: Back-Friendly Exercises and Physical Activities Module 06: Injury Prevention Strategies and Creating a Safe Environment Learning Outcomes: Cultivate awareness of potential back injury risk factors. Perfect the art of maintaining an optimal and health-conscious posture. Hone the finesse of safe lifting techniques for daily activities. Integrate back-friendly exercises into your routine for enduring strength. Devise injury prevention strategies, creating a safe and secure environment. Foster a resilient spine, unlocking the secrets to lifelong well-being. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to fortify their physical health foundation. Professionals keen on preventing back injuries in their daily routines. Anyone curious about creating a safe and health-conscious living environment. Fitness enthusiasts aspiring to incorporate back-friendly exercises into their regimen. Individuals committed to mastering the art of safe lifting for lifelong vitality. Career path Occupational Health and Safety Advisor Personal Fitness Trainer Physical Therapist Workplace Ergonomics Consultant Fitness Class Instructor Health and Wellness Coach Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.
Unleash the power of a resilient back with our groundbreaking course. In a world where physical health is paramount, fortify your foundation with invaluable insights. Dive into the science of injury prevention, unraveling the secrets to maintaining a robust spine. Discover the art of identifying lurking risks, ensuring you stay one step ahead. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access From the nuances of posture to the finesse of lifting techniques, master the essentials. Engage in back-friendly exercises and sculpt a body that stands resilient. Navigate injury prevention strategies and learn the alchemy of creating safe environments. Elevate your vitality and future-proof your physical well-being with this transformative journey. Course Curriculum Module 01: Introduction to Back Injury Prevention Module 02: Identifying Risk Factors for Back Injuries Module 03: Maintaining Proper Posture Module 04: Safe Lifting Techniques Module 05: Back-Friendly Exercises and Physical Activities Module 06: Injury Prevention Strategies and Creating a Safe Environment Learning Outcomes: Cultivate awareness of potential back injury risk factors. Perfect the art of maintaining an optimal and health-conscious posture. Hone the finesse of safe lifting techniques for daily activities. Integrate back-friendly exercises into your routine for enduring strength. Devise injury prevention strategies, creating a safe and secure environment. Foster a resilient spine, unlocking the secrets to lifelong well-being. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to fortify their physical health foundation. Professionals keen on preventing back injuries in their daily routines. Anyone curious about creating a safe and health-conscious living environment. Fitness enthusiasts aspiring to incorporate back-friendly exercises into their regimen. Individuals committed to mastering the art of safe lifting for lifelong vitality. Career path Occupational Health and Safety Advisor Personal Fitness Trainer Physical Therapist Workplace Ergonomics Consultant Fitness Class Instructor Health and Wellness Coach Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Enrolling in a Clinical Weight Loss Strategies course is pivotal in today's health-conscious world. This Clinical Weight Loss Strategies course equips you with essential knowledge and skills to effectively address weight management issues, a growing concern globally. Understanding Clinical Weight Loss Strategies is crucial, as it provides insights into nutrition, exercise, behavioral psychology, metabolism, and advanced techniques essential for sustainable weight loss. With obesity rates soaring, professionals trained in Clinical Weight Loss Strategies are in high demand. This expertise not only enhances personal health management but also opens lucrative career opportunities in the UK, where the average salary for a weight loss consultant ranges from £25,000 to £40,000 annually. The sector is expanding, with a projected growth of 11% over the next decade, reflecting the increasing demand for specialized weight loss professionals. By mastering Clinical Weight Loss Strategies, you gain a competitive edge in the job market, contributing significantly to public health while securing a promising career. This Clinical Weight Loss Strategies course's comprehensive approach ensures you are well-prepared to make a meaningful impact, whether in personal life or professional endeavors. Key Features: CPD Certified Clinical Weight Loss Strategies Course Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Clinical Weight Loss Module 02: Fundamentals of Nutrition for Weight Loss Module 03: Exercise and Physical Activity for Weight Loss Module 04: Behavioural Psychology in Weight Loss Module 05: Metabolism and Weight Loss Module 06: Advanced Techniques in Clinical Weight Loss Learning Outcomes: Analyze weight loss fundamentals, understanding nutrition's pivotal role for effective strategies. Implement exercise regimes tailored for optimal weight loss outcomes and sustained wellness. Apply behavioural psychology principles, fostering positive habits crucial for successful weight management. Explore metabolism intricacies, unlocking insights for targeted weight loss interventions. Master advanced clinical techniques, customizing strategies for diverse weight loss scenarios. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Clinical Weight Loss Strategies course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Clinical Weight Loss Strategies. Moreover, this course is ideal for: Individuals seeking holistic weight loss knowledge. Health enthusiasts desiring sustainable weight management strategies. Professionals in health-related fields exploring comprehensive weight loss expertise. Nutritionists or dietitians aiming to enhance weight loss guidance. Fitness trainers interested in specialized weight loss programme development. Requirements There are no requirements needed to enrol into this Clinical Weight Loss Strategies course. We welcome individuals from all backgrounds and levels of experience to enrol into this Clinical Weight Loss Strategies course. Career path After finishing this Clinical Weight Loss Strategies course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Clinical Weight Loss Strategies are: Dietitian - £25K to 40K/year. Fitness Consultant - £20K to 35K/year. Nutritionist - £24K to 38K/year. Weight Loss Coach - £22K to 36K/year. Health Advisor - £23K to 37K/year. Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.
Are you tired of struggling with fad diets and endless exercise routines? Say goodbye to the frustration and hello to success with our comprehensive Weight Loss Management Course! Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this course, learners will discover the significance of nutrition for weight loss and overall health. They will delve into the world of essential micronutrients and how they play a vital role in maintaining a balanced diet. Through exploring weight control management techniques, learners will grasp effective strategies for achieving and maintaining a healthy weight. They will also gain insights into various methods and approaches for managing weight loss effectively. Additionally, learners will learn about eating disorders, their causes, and potential treatments, fostering an understanding of how to support individuals facing such challenges. Finally, the course will cover diet and nutrition-related diseases, equipping learners with knowledge to prevent and manage these conditions through proper dietary choices. Overall, this curriculum empowers learners with essential knowledge and skills to navigate their weight loss journey and promote overall well-being. Course Curriculum Module 01: Importance of Nutrition Module 02: Micronutrients Module 03: Weight Control Management Module 04: Weight Loss Management Module 05: Eating Disorders Module 06: Diet and Nutrition related Diseases Learning Outcomes: Understand the significance of balanced nutrition for weight management strategies. Identify essential micronutrients crucial for maintaining optimal health and weight. Implement effective strategies for controlling and managing body weight. Utilize evidence-based techniques for successful weight loss management. Recognize common eating disorders and their impact on weight management. Demonstrate knowledge of diet and nutrition-related diseases prevention and management. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking comprehensive knowledge on nutrition and weight management. Healthcare professionals aiming to enhance their expertise in weight management. Fitness enthusiasts interested in understanding effective weight loss strategies. Nutritionists and dietitians looking to expand their proficiency in weight management. Anyone committed to achieving and maintaining a healthy body weight. Career path Nutrition Advisor Weight Management Consultant Dietitian Health Educator Wellness Coach Eating Disorder Specialist Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Embark on a transformative journey to become a specialist in Bereavement and Grief Counselling. This course equips you with the theoretical understanding and practical skills to navigate the complex emotional landscape of grief, making a meaningful impact in the lives of those experiencing loss.
Effectively oversee the planning, design, and execution of a building project with the Construction Management Diploma Level 5 course. This certificate program is designed to teach fundamental methods of construction and management, covering all aspects of construction projects, from planning and scheduling to management theories and cost estimation. You will also explore the project delivery and production process, project control techniques, and how to schedule construction materials. Throughout this construction project management course, you will develop essential management skills and practical, real-world knowledge, to boost your professional development. This course is ideal for those who already work in the construction industry and are seeking a more senior role. Learning Objective: Understand the role and responsibilities of a Construction Manager Identify the different elements of the design and construction process Explore methods of project delivery and current industry trends Develop your problem-solving, communication and decision-making skills Learn the characteristics of a successful construction project Explore estimation strategies for working out the cost of a construction project Demonstrate a solid understanding of modern construction planning Familiarise with construction materials and equipment safety procedures Explore the basic components of a supply chain management system Who is This Course for? This Construction Management Diploma Level 5 is ideal for beginners who want an introduction to this field to develop the essential skills required for project planning, design and construction work. No previous experience is required to enrol and learners from all academic backgrounds will benefit from this specialist beginners training. Train online from the comfort of your own home and study at your own pace, with our distance learning program. On successful completion, learners will receive a certificate of achievement, which will help them to advance their career opportunities in this field. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Career Path: After completing your online studies, you will have the opportunity to explore a wide range of job roles within the field of construction management, including: Construction Manager Assistant Project Manager Development Project Manager Building Inspector Construction Assistant Construction Supervisor Project Assistant Course Curriculum Module 01: Introduction to Construction Management Introduction to Construction Management 01:00:00 Assessment Module 01 Module 01 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 02: Construction Project Stages Construction Project Stages 01:00:00 Assessment Module 02 Module 02 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 03: Estimating Construction Project Costs Estimating Construction Project Costs 00:30:00 Assessment Module 03 Module 03 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 04: Construction Project Planning Construction Project Planning 00:40:00 Assessment Module 04 Module 04 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 05: Site Organisation in the Construction Industry Site Organisation in the Construction Industry 00:40:00 Assessment Module 05 Module 05 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 06: Construction Resource Management Construction Resource Management 00:40:00 Assessment Module 06 Module 06 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 07: Subcontracting in the Construction Industry Subcontracting in the Construction Industry 00:30:00 Assessment Module 07 Module 07 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 08: Construction Cost and Time Control Part 1: Construction Cost Control 00:35:00 Part 2: Time Management in the Construction Industry 00:30:00 Assessment Module 08 Module 08 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 09: Equipment Cost Management Equipment Cost Management 00:20:00 Assessment Module 09 Module 09 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 10: Elements of Contractor Failure Elements of Contractor Failure 00:25:00 Assessment Module 10 Module 10 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 11: Supply Chain Management in the Construction Industry Supply Chain Management in the Construction Industry 00:20:00 Assessment Module 11 Module 11 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 12: Quality Management in the Construction Industry Quality Management in the Construction Industry 00:30:00 Assessment Module 12 Module 12 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 13: Human Resources Management Human Resources Management 00:45:00 Assessment Module 13 Module 13 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 14: Risk Analysis and Management Risk Analysis and Management 00:25:00 Assessment Module 14 Module 14 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 15: Health and Safety in the Construction Industry Part 1: Key Legislation and Regulations for The Construction Industry 00:30:00 Part 2: Managing Safety within the Construction Industry 00:20:00 Assessment Module 15 Module 15 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00 Module 16: Sustainability and the Environment Sustainability and the Environment 00:25:00 Assessment Module 16 Module 16 Final Quiz Exam - Construction Management Diploma Level 5 00:10:00
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