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This comprehensive online interior design course includes 12 self study modules, and weekly 1:1 telephone and or video consultations. I will personally guide and inspire you through your creative learning journey.

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Introduction to Wound Care via ZoomJoin us via Zoom for this informative and interactive course designed for nurses, healthcare professionals, and healthcare assistants who are new to wound management in the primary care setting. This course will empower you with the knowledge and skills to confidently manage wound care for both adults and children, ensuring the highest standards of patient care in your practice.Day OneLearning Objectives:1. Develop a comprehensive understanding of wound care in the primary care setting.2. Explore the anatomy and physiology related to wound healing.3. Learn how to assess wounds, including the various stages of wound healing.4. Understand wound infections and their management.5. Familiarize yourself with wound closure techniques such as sutures, Steri-strips, and clips.6. Gain knowledge about emollients, barrier creams, and steroids.7. Discover commonly used dressings for wound care.8. Create an action plan, evaluate your learning, and access resources for further study.Day TwoLearning Objectives:1. Review the topics covered on Day One and explore wound care formularies and pathways.2. Differentiate between leg ulcers of arterial and venous origin.3. Understand exudate management in wound care.4. Learn about the theory behind compression therapy for wound management.5. Engage in case studies to apply your knowledge.6. Explore competencies that can be achieved in practice.7. Create an action plan for your next steps, evaluate your learning, and access additional resources.Learning Outcomes for Both Days:By the end of this 2-day Introduction to Wound Care course, participants will:1. Develop a solid understanding of the physiology of wound healing, including chronic venous and arterial insufficiency.2. Acquire knowledge about topical medications and emollients commonly used in wound care.3. Familiarize themselves with a range of dressings frequently employed in wound management.4. Recognize the importance of regular wound review and supervised self-management plans.5. Engage in discussions about relevant practice problems and work toward effective solutions.6. Understand the significance of ongoing professional development in wound care practice.

Gramacri deliver outstanding environmental learning cover and clubs for primary schools. Our programme aims to rally and unite young people to make realistic but dynamic change, creating positive impacts for our planet now. All of our sessions are challenging and inspiring, leading the children we teach into a lifelong appreciation of the importance of environment preservation. Our programme not only provides peace of mind that the children are in the safest hands but also comes complete with planning and assessment. Just one less thing for your staff to worry about. In our eco-club children will: learn what to recycle and how; use recycled materials; paint, draw, colour, cut and glue; watch documentaries and tutorials; start and maintain student action campaigns; learn about habitat restoration; engage with green labs; engage with garden activities; connect with nature; clean up trash from local parks or schools yard; monitor recycling bins; learn the art of glass painting.

This expert-led training course will provide you with a comprehensive understanding of the role of the designated governor for mental health and wellbeing.

Natural fertility hypnotherapy addresses anxiety and promotes emotional well-being, potentially enhancing the chances of conception. Join us as we delve into the transformative power of hypnotherapy in promoting women's health and well-being at every stage of life.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

The Level 4 Teaching Assistant Course is designed to elevate your understanding and expertise in supporting educational settings effectively. This online course explores essential topics, from the role and responsibilities of a teaching assistant to navigating school policies and working closely with curriculum, assessment, and monitoring frameworks. With a strong focus on creating an optimal learning environment, you will gain insight into how to support literacy, numeracy, and ICT development tailored to students’ diverse needs, including those requiring special educational support. Throughout the course, you will deepen your knowledge of child development, behaviour management, and the importance of fostering positive relationships within the classroom. Communication skills form a vital part of the curriculum, ensuring experienced teaching assistants can confidently engage with pupils. The final module highlights career opportunities for teaching assistants across the UK, equipping you with the knowledge to progress your career in education. This course is ideal for those seeking to enhance their professional profile without attending in-person sessions, blending flexibility with a thorough grasp of essential educational support skills. ___________________________________________________________________ This Level 4 Teaching Assistant course is designed for the aspirant teaching assistant or anyone interested in pursuing a career as a teaching assistant. It covers a complete teaching assistant guide, especially for the UK scenario, to lead you to your goal. We prepared this Quality Licence Scheme - QLS endorsed Level 4 Teaching Assistant training for you so that you can learn from scratch to achieve a certificate to show your proficiency in this field. Enrol today in our Level 4 online course to learn all the required knowledge and skills to pursue a rewarding career in the related industry. ___________________________________________________________________ Key Benefits This Level 4 course comes with a variety of offers for you, including: Accredited by CPD FREE QLS Endorse Level 4 Diploma Certificate Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance The Level 4 Teaching Assistant course is for both beginners and those already working in the field. It covers gradually from basics to advanced concepts of being a successful Teaching Assistant. Anyone passionate about learning can take this Level 4 Teaching Assistant4 course and develop skills and a portfolio to have a competitive edge in the job market. ___________________________________________________________________ Course Curriculum of Level 4 Teaching Assistant Upon completing our Level 4 Teaching Assistant course, you will get a widely respected accreditation and a deeper knowledge of the topic. Level 4 Teaching Assistant Module 01: Teaching Assistant Overview Module 02: Professional Developments for a TA Module 03: Working with the School and its Policies Module 04: Discussion on Curriculum, Assessment and Monitoring Module 05: Providing the Best Learning Environment Module 06: Learn to Implement ICT, Literacy and Numeracy Development Process as a TA Module 07: Child Development and the SEN Support Module 08: Understanding Behaviour & Relationships as a TA Module 09: Experienced TAs Maintain Strong Communications with The Students Module 10: Career Prospects for TA in the UK ___________________________________________________________________ Course Assessment At the end of the Level 4 Teaching Assistant course, you will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your Level 4 Teaching Assistant course, you will immediately be sent a CPD-accredited digital certificate. Besides, after completing the course, you can claim your Quality Licence Scheme - QLS endorsed certificate on the title: Diploma in Teaching Assistant at QLS Level 4 for £89 only. CPD 370 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? Anyone with a knack for learning new skills can take this course. Progression of this Level 4 Teaching Assistant course: cpd level 2 teaching assistant CACHE Level 3 Teaching Assistant & SEN Certificate LEVEL 3 Award in Supporting Teaching & Learning in Schools (RQF) Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our SEN TA training. Certificates CPD Accredited Certificate (HARDCOPY) Hard copy certificate - Included CPD Accredited Certificate (PDF) Digital certificate - Included QLS Endorsed Certificate (HARDCOPY) Hard copy certificate - Included

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