11261 Environment courses in Great Malvern delivered Online

Level 5 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 150CPD Points | Lifetime Access

Level 7 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 180 CPD Points | Lifetime Access

Free Level 3 QLS Endorsed Certificate | CPD Accredited | Installment Payment | 120 CPD Points | Lifetime Access

FREE Level 5 QLS Endorsed Certificate | FREE 2 CPD Courses + PDF Certificates | CPD Accredited | Lifetime Access

5-star Rated Course | Level 7 QLS Endorsed Course with Certificate | CPD Accredited | 180 CPD Points | Lifetime Access

An Introduction to Medical Terminology short course delivered online via Teams, suitable for anyone wishing to learn the basics of terminology. Dates of courses can be seen when clicking ‘register’ below. Level One – Introduction to Medical Terminology. “It's like a light has just been switched on and I now understand more of what I'm doing!” – Feedback from attendee of Level one course. This course is aimed at anyone who requires a knowledge of medical terminology in their role. It is suitable for administrative staff, health care workers, medical secretaries, managers, Allied Health Professionals, essentially anyone who may encounter medical terminology and wishes to develop their medical terminology knowledge further. We also offer sessions to those requiring an overview of medical terminology to support applications to study medicine, veterinary medicine or dentistry.We can train between 1-30 learners from any organisation. If you have a specific training request, please speak to us and we can accommodate your needs. We recently trained a group of sign language interpreters who found the training invaluable when working in medical environments.The sessions are delivered via Teams (2x 2 hour meetings) so are highly accessible, a webcam and microphone are required although not essential.The aim of the course is for learners to develop an understanding of medical terminology in an enjoyable, interactive and informative way so that they are better able to decipher and unravel the mystery of long medical words.The course covers the following topics:- Basics of medical terminology – word building Common Roots, prefixes and suffixes Anatomy and physiology via a virtual tour of the body Major bones of the body Prescription writing and abbreviations Classification of drugs Common Abbreviations Instruments and investigations Medical Specialities and personnel Blood tests At the end of the course students will have a clear understanding of medical terminology and are encouraged to use their newly learned skills in a series of quizzes and interactive games. All attendees are given a Certificate of Attendance and a comprehensive handout. Many people who attend these courses are keen to develop their skills further and may wish to proceed to the Level Two Intermediate Award in Medical Terminology. Medical Terminology Training Courses Established in 2006 and the UK’s largest provider of medical terminology training, we offer a range of courses to suit your needs from beginner through to advanced level. Our bespoke courses have been designed to suit the needs of healthcare professionals incorporating relevant terminology and content to directly benefit the workplace. Click 'more course information' below to view further details of each of our courses. 

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Do you love working with children? Do you want to make a real difference in the lives of young people? If so, a career as a Child Psychologist could be the perfect option for you. The Child Psychology and Counselling course is the perfect way to explore this career path. This online course provides the perfect introduction to the role of a Child Psychologist and where they typically work once entrusted. Learn the skills you need to counsel both children and adolescents.  Please note that this course does not entitle you to join the HCPC register or acknowledged as child psychologist. Through this course you will come across all the basic guidelines of child psychology to boost and shine your knowledge in this particular field of Child Psychology and it will add your CPD points. Highlights of the Child Psychology and Counselling Course: Learn specifics about the role of a Child Psychologist and what child psychology actually is. Discover the theoretical approach to child psychology and why it's vital to learn theories. Study how family and schooling factors affect child development. Understand language and cognitive development. Gain an understanding of the key skills needed for counselling children and adolescents. Study psychological issues such as grief and bereavement, dysfunctional families, and child bullying. Discover the therapeutic outcomes you can make use of to aid recovery. Learn about working as a Child Counsellor and how to go about setting up your practice. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99.00. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Supporting and engaging with different parts of the organisation and interact with internal or external customer.