5479 Sciences courses

Are you passionate about natural medicine and eager to help others achieve optimal health and well-being? Our comprehensive Diploma on Homeopathy is designed to equip you with the knowledge and skills necessary to become a proficient practitioner in this holistic healing art. Join us and embark on a journey to understand and master the principles and practices of homeopathy, an effective and natural system of medicine. Key Features: CPD Certified Developed by Specialist Lifetime Access This Diploma in Homeopathy course provides a comprehensive overview of homeopathy, from its basic principles to its practical applications. Learners will start by understanding the history and foundational theories of homeopathy. They will gain skills in treating patients using homeopathic remedies and learn to apply these remedies for first aid. The course covers specialized treatments for skin problems, children, and women's health, as well as specific conditions affecting the reproductive, nervous, limbic, immune, digestive, circulatory, respiratory, and musculoskeletal systems. Additionally, students will explore homeopathy's role in modern healthcare and its potential future developments. By the end of the course, learners will be well-equipped to practice homeopathy effectively in various health situations. Course Curriculum Module 01: Introduction to Homoeopathy Module 02: Principles and Theories Behind the Practice Module 03: How to Treat Patients Module 04: Homoeopathic Remedies Module 05: First Aid with Homoeopathic Remedies Module 06: Homoeopathy for Skin Problems Module 07: Homoeopathy for Children and Women's Health Module 08: Practice of Homoeopathy on the Reproductive Systems Module 09: Practice of Homoeopathy on the Nervous System Module 10: Practice of Homoeopathy on the Limbic System Module 11: Practice of Homoeopathy on the Immune System Module 12: Practice of Homoeopathy on the Digestive System Module 13: Practice of Homoeopathy on the Circulatory System Module 14: Practice of Homoeopathy on the Respiratory System Module 15: Practice of Homoeopathy on the Musculoskeletal System Module 16: Homoeopathy's Role in Present and Future Learning Outcomes Understand the fundamental principles and theories behind homoeopathy practice. Learn how to effectively treat patients using homoeopathic methods. Identify and apply various homoeopathic remedies appropriately. Provide first aid using homoeopathic remedies in emergency situations. Address skin problems with specialised homoeopathic treatments. Apply homoeopathy to children's and women's health concerns. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring homoeopaths seeking comprehensive knowledge. Medical professionals exploring alternative treatments. Parents interested in natural health solutions. Holistic health enthusiasts. Individuals aiming to understand homoeopathic principles. Career path Homoeopathic Practitioner Alternative Medicine Consultant Wellness Clinic Specialist Health and Wellness Coach Homoeopathy Instructor Natural Health Advisor Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Description: Society is comprised of everyone, including children and the elderly. These two groups of people require a lot care and attention especially when they are too young and too old respectively. The problem is not every one knows how to take care of them, but you can learn the required skills from this Health and Social Care Course course. This course has four modules however can be said to be divided into three parts. The latter portion of the course is focused towards taking care of children and the elderly, but initially you learn about taking care of yourself. That's right, you cannot take care of others if you are not healthy yourself, which is why initially you focus on your personal and mental growth. In the next section you focus on elderly care as you learn about handling bad behaviour problems, improving quality of life for seniors, outdoor activities and much more. Finally you learn about basic child safety as well. Overall this course covers some large ground with the number of topics it has, so you can definitely leverage it to propel yourself in your desired social care service. Who is the course for? People who want to learn how to take care of children or the elderly This course is designed to help you pursue a career in the social health care industry 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: Health and Social Care Course is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: Care worker Medical Social worker Social Workers Geriatric Case Managers Updated Version- Health and Social Care Course Module 1: Introduction To Health And Social Care Introduction To Health And Social Care 00:16:00 Module 2: Communication And Its Relevance Communication And Its Relevance 00:48:00 Module 3: Rights And Responsibilities As A Health And Social Care Worker Rights And Responsibilities As A Health And Social Care Worker 00:39:00 Module 4: Role As A Caregiver And Healthcare Professional Role As A Caregiver And Healthcare Professional 00:23:00 Module 5: Working In Health And Social Care; Promoting Equality, Diversity And Rights Working In Health And Social Care; Promoting Equality, Diversity And Rights 00:46:00 Module 6: Important Principles And Policies In Health And Social Care Work Important Principles And Policies In Health And Social Care Work 00:20:00 Module 7: Understanding Legal, Professional Standards Of Practice And Ethical Aspects Of Health Care Part - 1 Understanding Legal, Professional Standards Of Practice And Ethical Aspects Of Health Care Part - 1 00:50:00 Module 8: Understanding Legal, Professional Standards Of Practice And Ethical Aspects Of Health Care Part - 2 Understanding Legal, Professional Standards Of Practice And Ethical Aspects Of Health Care Part - 2 00:48:00 Module 9: Safeguarding Vulnerable Individuals Safeguarding Vulnerable Individuals 00:49:00 Module 10: Health And Safety Responsibilities Health And Safety Responsibilities 00:51:00 Module 11: Risk Management In Health And Social Care Risk Management In Health And Social Care 00:30:00 Old Vesion - Health and Social Care Course Personal Health Care The Nature and Cause of Disease99 01:30:00 Fasting 01:00:00 Colon Cleansing 01:00:00 Diet and Nutrition 01:30:00 Vitamins and Other Food Supplements 01:30:00 Mental Health Care Mental Health Basics 00:30:00 Are you Resilient 00:30:00 Take Good Care of Yourself 00:30:00 Healthy Relationships 00:30:00 Risk Factors 00:30:00 When Do You Need to See a Professional? 00:30:00 Elderly Care Introduction To Guide To Dealing And Caring Elderly 01:00:00 Caring For Elderly Parents or Relatives While Keeping Your Money 00:30:00 How To Handle Bad Behaviour Problems By Elderly Parents 00:30:00 Effective Caring For Your Elderly Relative's: Home Help 00:30:00 Going to A Better Place 00:15:00 Listening to Your Parents Even Now 00:30:00 Way To Improve Quality Of Life For Your Senior 00:30:00 The Basics Of Caring For The Elderly: Pressure Sores 00:30:00 The Golden Rule Of Caring For The Elderly Revealed! 00:30:00 The Greatest Loss Of Them All 00:30:00 Watching Your Step: Avoiding And Dealing With Falls Whilst Caring For The Elderly 00:30:00 Caring For The Elderly- A Stressful Job 00:30:00 4 Most Common Ailments Affecting The Elderly 01:00:00 Top Outdoor Elderly Activities 00:30:00 Safeguarding The Health Of The Elderly 00:30:00 Taking Care Of Yourself As Well As The Elderly: Vacation And Respite 00:30:00 The Caregiver's Enemy No.1 00:15:00 Child Health Care Introduction to Child Health 00:15:00 History Taking and Physical 00:15:00 Care of The New Born 00:30:00 Congenital Abnormalities 01:00:00 Normal Growth and Development 00:15:00 Nutrition and Nutritional 00:30:00 Acute Respiratory Infection (Ari) 00:15:00 Control of Diarrhea Disease 00:30:00 Systemic Diseases 01:00:00 Vaccine Preventable Diseases 00:15:00 Expanded Program on Immunization (Epi) 00:15:00 Common Genetic Problems of Children 00:15:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Health and Social Care Course 00:30:00 Final Exam Final Exam- Health and Social Care Course 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview  Chemicals, dust, vapor, fumes etc., can cause severe health issues. The COSHH (Control of Substances Hazardous to Health) Training & Safety course is here to arm you with the knowledge and skills to protect yourself from these life-threatening substances. In this COSHH (Control of Substances Hazardous to Health) Training & Safety course, you will be able to receive a clear understanding of COSHH. The course will assist you in learning the COSHH regulations. In addition, you will familiarize yourself with the health problems caused by hazardous substances. From the informative lessons, you will attain the ability to identify the material that falls under COSHH. This resourceful course will teach you the process of COSHH risk assessment and assist you in implementing the control measures. This COSHH (Control of Substances Hazardous to Health) Training & Safety course is the best way to enrich your understanding of COSHH. Enroll in the course and create a safe work environment. Learning Outcomes Understand what COSHH is and what substances it covers Familiarize yourself with COSHH regulations Learn about the health issues caused by hazardous substance Know how to identify harmful materials Build the essential skills for COSHH risk assessments Acquire the knowledge and expertise for implementing control measures Who is this course for? This COSHH (Control of Substances Hazardous to Health) Training & Safety course is ideal for people working with harmful substances or for those who want to learn about this matter. 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. Certification After you have successfully completed the course, 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 The COSHH (Control of Substances Hazardous to Health) Training & Safety course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Health Care Social Care Health and Safety Construction Module 01: COSHH Explained COSHH Explained 00:36:00 Module 02: COSHH Regulations COSHH Regulations 00:36:00 Module 03: Health Problems Related to Hazardous Substances Health Problems Related to Hazardous Substances 00:30:00 Module 04: Identifying Hazardous Substances Identifying Hazardous Substances 00:29:00 Module 05: COSHH Risk Assessments COSHH Risk Assessments 00:37:00 Module 06: Control Measures and Monitoring Control Measures and Monitoring 00:32:00 Module 07: Implementing Control Measures Implementing Control Measures 00:23:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Course Overview Homeschooling is perhaps the best way to ensure quality education for children. However, you must have a great deal of knowledge and skills to provide proper home education. The Homeschooling Diploma course is here to help you out. It is designed to provide you with adequate expertise for homeschooling. From the Homeschooling Diploma course, you will grasp the core principles of homeschooling. The course will show you the advantages of home education. You will learn about a wide range of methods used in this learning process. The course will help you prepare yourself for homeschooling assessment. You will be able to develop the skills and abilities to overcome the challenges faced in home education. The Homeschooling Diploma course will introduce you to the ins and outs of homeschooling. Enroll in the course and become an excellent home educator. Learning Outcomes Learn the basic concept of homeschooling or home education Know about the formal requirements for homeschooling Explore different methods and techniques of homeschooling Equip yourself with the essential skills for conducting homeschooling assessments Prepare to overcome the barriers of homeschooling Who is this course for? The Homeschooling Diploma course is suitable for anyone interested in building the essential skills for homeschooling. 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. Certification After you have successfully completed the course, 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 The Homeschooling Diploma course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Home Tutor Online Tutor Educational Consultant Module 01: Introduction to Home Education Introduction to Home Education 00:20:00 Module 02: Formal Requirements for Home-Schooling Formal Requirements for Home-Schooling 00:31:00 Module 03: Advantages and Disadvantages of Home Education Advantages and Disadvantages of Home Education 00:25:00 Module 04: Methods of Homeschooling (Part -A) Methods of Homeschooling (Part -A) 00:35:00 Module 05: Methods of Homeschooling (Part - B) Methods of Homeschooling (Part - B) 00:30:00 Module 06: Methods of Homeschooling (Part - C) Methods of Homeschooling (Part - C) 00:19:00 Module 07: Assessment of Home Education Assessment of Home Education 00:27:00 Module 08: Challenges of Home Education Challenges of Home Education 00:16:00 Module 09: Advices for Prospective Homeschooler's Parents Advices for Prospective Homeschooler's Parents 00:28:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course overview Learn the skills you need to establish a career as an HVAC technician from the online Online Heating, Ventilation & Air Conditioning (HVAC) Technician course. This course will teach you all the basic techniques of installation and maintenance of HVAC equipment and get you ready to take your first step to be an HVAC technician. The small and understandable lessons of the Online Heating, Ventilation & Air Conditioning (HVAC) Technician course will help you to grasp any difficult procedure easily. You will learn how to install HVAC equipment from the course. This Online Heating, Ventilation & Air Conditioning (HVAC) Technician course will also teach you how you can maintain your equipment and machines and make your life smoother. You will get the theoretical knowledge to fix your ventilation and air conditioning devices, understand their functions and repair them. Course Preview Learning outcomes Learn about the steps of HVAC installation Understand the fundamentals of heating and ventilation system Be able to perform the basic maintenance of the HVAC system Learn about the air conditioning system and its functions Be able to fix the problems in piping, duct and compressors Familiarize with safety procedures of HVAC system Understand the legal obligations and regulations for maintenance of HVAC system Who Is This Course For? Anyone interested in learning HVAC techniques most efficiently can take this Online Heating, Ventilation & Air Conditioning (HVAC) Technician course. The skills gained from this training will provide excellent opportunities for career advancement.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path The Online Heating, Ventilation & Air Conditioning (HVAC) Technician course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Electricians Engineers Fabricators HVAC Technicians HVAC Installers HVAC Mechanics HVAC Installation Helpers Maintenance Technicians Residential Managers Online Heating, Ventilation & Air Conditioning (HVAC) Technician Module 01: Introduction to Heating, Ventilation & Air Conditioning (HVAC) 00:15:00 Module 02: Heating Fundamentals and Psychrometrics 00:35:00 Module 03: HVAC Systems 00:17:00 Module 04: Heating and Ventilation 00:24:00 Module 05: Air Conditioning Systems for HVAC Technicians 00:24:00 Module 06: Compressors, Water Chillers, and Fans 00:27:00 Module 07: Piping for HVAC Technician 00:22:00 Module 08: Duct System in HVAC 00:30:00 Module 09: Refrigeration and Refrigerants 00:22:00 Module 10: Special Applications 00:26:00 Module 11: HVAC System Selection 00:20:00 Module 12: Safety in the HVAC Industry 00:29:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Master the art of food safety and compliance with our comprehensive Level 3 HACCP Online Training. Whether you're looking to advance your career or ensure your organization meets rigorous food safety standards, this course is designed to equip you with the essential skills and knowledge. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In this course, learners will explore the principles and practical applications of HACCP (Hazard Analysis Critical Control Point) in ensuring food safety. They will understand how to develop and manage a HACCP system, including planning, hazard analysis, and establishing critical control points. Participants will learn to set critical limits and monitor control points effectively to prevent food hazards. The course covers implementing and verifying HACCP systems, as well as establishing corrective actions and maintaining proper documentation. Additionally, learners will gain insights into food safety legislation related to HACCP and alternatives to traditional HACCP methods. By the end, participants will be equipped with the knowledge to identify food safety hazards and create robust HACCP systems to safeguard against them in various food-related environments. Course Curriculum Module 01: An Introduction to HACCP Module 02: Planning a HACCP System Module 03: Hazard Analysis Module 04: Establishing Critical Limits Module 05: Establishing Critical Control Point Monitoring Requirements Module 06: Critical Control Point Identification Module 07: Implementing the HACCP System Module 08: Verification of the HACCP System Module 09: Establishing Corrective Actions Module 10: Documentation Module 11: HACCP and Food Safety Legislation Module 12: HACCP Alternatives Module 13: Food Safety Hazards Module 14: Creating the HACCP System Learning Outcomes: Understand HACCP principles and their importance in food safety management. Plan and design a HACCP system tailored to specific food processes. Identify potential hazards and assess their significance in food production. Establish critical limits and monitoring procedures for control points effectively. Implement and maintain a HACCP system in compliance with food safety regulations. Evaluate and document HACCP systems, ensuring accuracy and completeness. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Food safety managers and supervisors in food production facilities. Quality assurance professionals in the food industry. Individuals pursuing careers in food safety management. Compliance officers responsible for food safety regulations. Employees involved in food production and processing. Career path Food Safety Officer Quality Assurance Manager Compliance Auditor Food Production Supervisor Regulatory Affairs Specialist HACCP Coordinator Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

The Health and Social Care Level 3 and Conflict Resolving Diploma course provides a comprehensive understanding of health and social care principles and practices, covering topics such as communication, rights and responsibilities, legal and ethical aspects, safeguarding vulnerable individuals, and health and safety. Additionally, learners will gain insights into conflict resolution techniques, strategic marketing, and finance management in the context of health and social care service delivery. Learning Outcomes: Understand the fundamentals of health and social care, including its roles, importance, and communication relevance in caregiving. Recognize the rights and responsibilities of health and social care workers and their role as caregivers and healthcare professionals. Promote equality, diversity, and rights in health and social care settings while adhering to important principles and policies. Comprehend the legal, professional, and ethical aspects of health care, ensuring the safeguarding of vulnerable individuals. Demonstrate knowledge of health and safety responsibilities in health and social care environments. Explore the economics of healthcare and strategic marketing concepts for effective service delivery in the health and social care sector. Acquire skills in managing finances and service delivery in health and social care settings, considering resource allocation and effective organizational management. Why buy this Level 2 & 3 Diploma in Health & Social Care? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Level 2 & 3 Diploma in Health & Social Care you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Level 2 & 3 Diploma in Health & Social Care does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Level 2 & 3 Diploma in Health & Social Care was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Level 2 & 3 Diploma in Health & Social Care is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Health and Social Care and Conflict Resolving Techniques Introduction to Health and Social Care 00:16:00 Communication and its Relevance 00:41:00 Rights and Responsibilities as a Health and Social Care Worker 00:39:00 Role as A Caregiver and Healthcare Professional 00:23:00 Working in Health and Social Care; Promoting Equality, Diversity and Rights 00:46:00 Important Principles and Policies in Health and Social Care Work 00:20:00 Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 00:50:00 Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 00:48:00 Safeguarding Vulnerable Individuals 00:49:00 Health and Safety Responsibilities 00:51:00 The Economics of Healthcare 00:11:00 Strategic Marketing for Health and Social Care 00:09:00 Managing Finance in Health and Social Care 00:21:00 Managing Service Delivery in Health and Social Care 00:11:00 Mock Exam Mock Exam - Health and Social Care Level 3 and Conflict Resolving Diploma 00:20:00 Final Exam Final Exam - Health and Social Care Level 3 and Conflict Resolving Diploma 00:20:00