47 Observation courses in Liverpool delivered Live Online

Welcome to GLA Tutors, a pioneering platform for primary school tutoring and SATs preparation.  At GLA Tutors, we understand the importance of a strong foundation in primary school subjects and strive to provide comprehensive support to help children excel in their academic journey. Our team of expert tutors is well-versed in the English National Curriculum, which forms the basis of primary school education in the UK. We have carefully analysed the curriculum requirements to ensure that our tutoring services cover all key subjects and align with the learning objectives set by the curriculum. Our provision for tutoring all primary school subjects encompasses a wide range of subjects, including: 1. English: - Reading comprehension - Vocabulary development - Grammar and punctuation - Writing skills 2. Mathematics: - Number and place value - Addition, subtraction, multiplication, and division - Fractions, decimals, and percentages - Geometry and measurement 3. Science: - Investigating scientific phenomena - Understanding the natural world - Conducting experiments and making observations - Developing scientific thinking and inquiry skills 4. History: - Understanding historical events and timelines - Exploring significant figures and civilizations - Analysing primary and secondary sources - Developing historical knowledge and critical thinking skills 5. Geography: - Studying different landscapes and environments - Investigating human and physical geography - Exploring global issues and sustainability - Developing geographical skills and understanding At GLA Tutors, we understand that preparing children for SATs can be a challenging task. Our tutors are well-versed in the SATs format and content, and they provide targeted support to help children excel in their exams. We cover all areas of the SATs, including English (reading, grammar, and writing) and Mathematics, ensuring that children are well-prepared and confident on exam day. Our tutoring sessions are designed to be engaging and interactive, fostering a love for learning and encouraging children to reach their full potential. We use a variety of teaching techniques, including hands-on activities, visual aids, and interactive resources, to make learning enjoyable and effective. With GLA Tutors, you can be assured that your child will receive top-quality tutoring in all primary school subjects and be well-prepared for SATs. Our tutors are committed to providing personalised support, tailoring their teaching methods to meet the unique learning needs of each child. Join us and let us help your child thrive academically and achieve success in their primary school journey and SATs.

Discuss past and present attitudes/experience around palliative care Holistic palliative care Discuss considerations and difficult conversat About this event Discuss past and present attitudes/experience around palliative care Holistic palliative care Discuss considerations and difficult conversations Accountability Advantages and disadvantages of using syringe driver Equipment required Documentation and Labelling syringes Monitoring patient checks Commonly used drugs Syringes Sites to use and avoid Use of drugs beyond licence Commonly used drugs Troubleshooting Give a practical demonstration of how to set up a syringe pump Practical session setting up a McKinley T34 syringe pump – you will need to the unit if an alternative machine is required.

Supervising First Aid for Mental Health | RQF Level 3 The RQF Level 3 Supervising First Aid for Mental Health course is designed to provide individuals with the knowledge and skills to effectively supervise and support others in the workplace who may be experiencing mental health issues or distress. This course aims to equip participants with a deeper understanding of mental health, enabling them to provide guidance, reassurance, and signposting to appropriate professional help. Understanding Mental Health: Participants will gain a comprehensive understanding of mental health, including common mental health conditions, their causes, and the impact they can have on individuals and workplaces. They will learn to recognize signs and symptoms of mental health issues and develop an understanding of the stigma and misconceptions surrounding mental health. Promoting a Positive Mental Health Culture: Participants will explore strategies to promote a positive mental health culture in the workplace. This includes raising awareness, reducing stigma, and fostering a supportive and inclusive environment that prioritises mental well-being. Providing Mental Health Support: Participants will learn how to provide immediate and practical support to individuals experiencing mental health issues or emotional distress. They will be trained in active listening skills, effective communication techniques, and providing non-judgmental and empathetic support. Signposting and Referral: Participants will develop the skills to signpost individuals to appropriate professional help and resources. They will learn about available support services, both within and outside the workplace, and how to facilitate access to these services. Crisis Management: Participants will be prepared to respond to mental health crises and emergencies. They will learn how to assess risk, manage situations involving self-harm or suicidal ideation, and understand the importance of maintaining personal and professional boundaries. Supporting Workplace Mental Health Policies: Participants will understand the importance of workplace mental health policies and how to support their implementation. They will explore the role of supervisors in promoting mental health, identifying potential triggers or stressors in the workplace, and implementing strategies to support employee well-being. Successful completion of the RQF Level 3 Supervising First Aid for Mental Health course indicates that participants have developed the necessary knowledge and skills to effectively supervise and support individuals experiencing mental health issues in the workplace. They will be equipped to provide guidance, signposting, and initial assistance, contributing to a mentally healthy and supportive work environment. It's important to note that this course does not qualify participants as mental health professionals or therapists. It is focused on providing basic mental health support and guidance in the workplace context. If participants wish to pursue more in-depth training or a career in mental health, they may consider further studies or qualifications in mental health counseling, psychology, or related fields. Suitability - Who should attend? The RQF Level 3 Supervising First Aid for Mental Health course is suitable for individuals who have a responsibility for supervising and supporting others in the workplace, particularly in relation to mental health. It is beneficial for supervisors, managers, team leaders, human resources personnel, and anyone in a position of authority or influence within an organization. This course is relevant for individuals across various industries and sectors who wish to develop their understanding of mental health, enhance their skills in supporting others, and contribute to creating a mentally healthy work environment. It is especially suitable for those who have regular interactions with employees or colleagues and are involved in promoting well-being and providing guidance. The course is valuable for individuals in roles where they may be responsible for implementing mental health policies, supporting employees facing mental health challenges, or providing initial assistance in crisis situations. It equips participants with the knowledge and skills to recognize signs of mental health issues, provide appropriate support and signposting, and contribute to fostering a positive mental health culture within their organization. While there are no strict prerequisites for enrolling in the RQF Level 3 Supervising First Aid for Mental Health course, some prior knowledge or experience in mental health awareness or first aid can be beneficial. However, the course is designed to accommodate learners with varying levels of understanding and experience in the field. It's important to note that this course does not qualify participants as mental health professionals or therapists. It focuses on providing fundamental knowledge, skills, and guidance for workplace mental health support. If you require more advanced or specialised training in mental health, it may be necessary to consider additional qualifications or seek professional development opportunities in specific areas of interest. Before enrolling in the course, consider the specific requirements and recommendations of your workplace or industry. Discuss the suitability and relevance of the course with your employer or supervisor to ensure it aligns with your professional development goals and responsibilities within your organization. Outcome / Qualification etc. Upon successful completion of the RQF Level 3 Supervising First Aid for Mental Health course, participants can expect to achieve several learning outcomes: Comprehensive Understanding of Mental Health: Participants will develop a thorough understanding of mental health, including different mental health conditions, their causes, and their impact on individuals and workplaces. They will gain knowledge about the prevalence of mental health issues and the importance of promoting mental well-being in the workplace. Recognition of Mental Health Issues: Participants will be able to recognize signs and symptoms of common mental health conditions, enabling them to identify when someone may be experiencing mental health issues or emotional distress. They will develop skills in observation, active listening, and empathy to assess the well-being of others. Effective Support and Signposting: Participants will acquire the skills to provide immediate support and guidance to individuals experiencing mental health issues. They will learn active listening techniques, effective communication strategies, and non-judgmental approaches to engage with and support others. They will also be able to signpost individuals to appropriate professional help and resources. Creation of a Mentally Healthy Workplace: Participants will understand their role in promoting a mentally healthy workplace culture. They will learn strategies to reduce stigma, raise awareness, and create a supportive environment that prioritizes mental well-being. They will also gain knowledge on how to implement workplace mental health policies and practices. Crisis Management and Referral: Participants will be prepared to respond to mental health crises and emergencies. They will develop skills in assessing risk, managing situations involving self-harm or suicidal ideation, and understanding the importance of timely and appropriate referral to professional mental health services. Supervision and Support Skills: Participants will develop skills in supervising and supporting others in the workplace who may be experiencing mental health issues. They will gain confidence in initiating conversations about mental health, providing guidance, and creating an atmosphere of trust and understanding. Successful completion of the RQF Level 3 Supervising First Aid for Mental Health course indicates that participants have achieved a higher level of knowledge and skills in supporting individuals with mental health challenges in the workplace. They will be equipped to provide appropriate support, signposting, and supervision, contributing to a mentally healthy and supportive work environment. It's important to note that while the course provides valuable knowledge and skills, participants should not consider themselves as mental health professionals. Ongoing professional development and engagement with mental health resources and services are essential to stay updated and provide the best support possible. Training Course Content DAY 1 Module 1 Introduction Module 2 What is first aid for mental health? Module 3 Identifying mental health conditions Module 4 Providing advice and starting a conversation Module 5 Stress Module 6 Drugs and alcohol Module 7 First aid action plan for mental health - including practical assessment Module 8 Mental health in the workplace Module 9 Depression Module 10 Anxiety Module 11 Written assessment - paper 1 DAY 2 Module 1 Syllabus and day 1 recap Module 2 Post-traumatic stress disorder Module 3 Self-harm Module 4 Suicide Module 5 Eating disorders Module 6 Personality disorders Module 7 Bipolar disorder Module 8 Psychosis Module 9 Schizophrenia Module 10 Written assessment paper 2 and course closure Course delivery details Classroom-based Training: Many training providers offer the course through traditional classroom-based sessions. Participants attend in-person training conducted by qualified instructors. These sessions provide opportunities for interactive discussions, practical exercises, case studies, and group activities to enhance learning and understanding of the course material. Blended Learning: Some training providers may offer a blended learning approach, combining both online and face-to-face components. Participants may complete certain modules or theory-based learning online at their own pace. The in-person sessions are then focused on interactive discussions, practical skills demonstrations, and group activities. Online Learning: In certain cases, the course may be delivered entirely online. Participants can access course materials, videos, interactive modules, and assessments through a dedicated online learning platform. Online learning offers flexibility in terms of when and where participants can engage with the course content. In-house Training: Organisations may opt for in-house training where a qualified instructor delivers the course directly to their employees or staff members. This can be customized to suit the specific needs and context of the workplace, allowing for more tailored discussions and examples relevant to the participants' roles and environment. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price. Continuing Studies Upon completing the RQF Level 3 Supervising First Aid for Mental Health course, there are various opportunities for continuing studies and professional development in the field of mental health and workplace well-being. Here are some options to consider: Advanced Mental Health Training: If you wish to deepen your knowledge and skills in mental health, you may consider pursuing advanced training courses. These could include specialized courses on specific mental health conditions, such as depression, anxiety, or post-traumatic stress disorder (PTSD). Advanced courses can provide you with a more in-depth understanding of specific areas within the mental health field. Mental Health First Aid Instructor Training: If you have a passion for teaching and training others, you might consider becoming a certified mental health first aid instructor. Instructor training programs can equip you with the necessary skills and qualifications to deliver mental health first aid courses to others. This allows you to contribute to building a mentally healthier workforce by educating and empowering others. Workplace Well-being Programs: Many organizations are investing in workplace well-being programs to support the mental health of their employees. You could explore opportunities to get involved in developing and implementing such programs within your organization. This might involve collaborating with human resources, management, or well-being teams to design initiatives that promote mental health, resilience, and work-life balance. Higher Education and Further Studies: If you're interested in pursuing a more extensive education in mental health, you may consider enrolling in higher education programs related to psychology, counselling, or mental health. This could include undergraduate or postgraduate degrees, diplomas, or certifications that provide a deeper understanding of mental health theory, research, and clinical practice. Continuous Professional Development (CPD): Engaging in continuous professional development is essential in staying updated with the latest research, best practices, and developments in the field of mental health. Attend workshops, conferences, webinars, and seminars focused on mental health topics. These activities will enhance your knowledge and skills and ensure you stay current with evolving practices in the mental health field. Volunteer and Community Work: Engaging in voluntary work or community initiatives related to mental health can provide valuable hands-on experience and further develop your skills. Consider volunteering with mental health organizations, helplines, or community groups that focus on mental health support and advocacy. Remember to stay informed about the guidelines, regulations, and requirements set by relevant professional bodies or organizations in your country or region. This will help you align your continuing studies and professional development with recognised standards and qualifications. Continuing studies and professional development not only enhance your knowledge and skills but also demonstrate your commitment to the field of mental health and workplace well-being.

Blue CSCS Card NVQ Level 2 Plant This qualification provides you with the opportunity to showcase their knowledge, skills and understanding in their chosen specialism. You will have the relevant experience in one of the specific areas. You will be operating on one of the following machines: Forward Tipping Dumper Ride on Roller Excavator Telehandler Induction As soon as you register you will be given a dedicated assessor. They will arrange an induction and together with your assessor, you will get to decide on the pathway which best proves your competency. The induction is used to plan out how you will gather the relevant evidence to complete the course. During the course The assessor will work with you to build a portfolio of evidence that allows you to showcase your knowledge, skills and experience. The assessor will also regularly review and provide you with feedback. This will allow you to keep on track to progress quickly. You will be assessed through various methods such as observations, written questions, evidence generated from the workplace, professional discussion, and witness testimonials. On completion Once all feedback has been agreed, the Internal Quality Assurer will review your portfolio and in agreement with your assessor the certificate will be applied for. To download our PDF for this course then please click here.

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

To explore the factors which affect and influence feacal continence when supporting individuals in order to effectively manage bowel incontinence.

The course seeks to improve the wellbeing and experience of people with dementia and of the care staff working with them. It should improve your confidence in managing situations you find challenging.