Teaching Assistant Do you want to improve the abilities you have in the Teaching Assistant Course? If yes, then you have come to the right place. Our comprehensive Teaching Assistant Course on Teaching Assistant will assist you in producing the best possible outcome by mastering the Teaching Assistant skills. The Teaching Assistant Course is for those who want to be successful In Teaching Assistant. In the Teaching Assistant Course, you will learn the essential knowledge needed to become well versed in Teaching Assistant. Our Course starts with the basics of Teaching Assistant and gradually progresses towards advanced topics. Therefore, each lesson of this Teaching Assistant Course is intuitive and easy to understand. Why would you choose the Teaching Assistant course: Lifetime access to Teaching Assistant course materials Full tutor support is available from Monday to Friday with the Teaching Assistant course Learn Teaching Assistant skills at your own pace from the comfort of your home Gain a complete understanding of Teaching Assistant course Accessible, informative Teaching Assistant learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Study Teaching Assistant in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Teaching Assistant course Curriculum Breakdown of the Teaching Assistant Course Module 01 : Special Education Needs (SEN) An Overview Module 02 : SEN Support Module 03 : High Quality Teaching for Pupils with SEN Module 04 : SEN Teaching Methodologies Module 05 : Communication and Interaction Module 06 : Cognition and Learning Module 07 : Social, Emotional and Mental Health Difficulties Module 08 : Sensory or Physical Needs Module 09 : Working in Partnership CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Teaching Assistant The Teaching Assistant Course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Teaching Assistant. Requirements Teaching Assistant To enrol in this Teaching Assistant Course, all you need is a basic understanding of the English Language and an internet connection. Career path Teaching Assistant Teaching Assistant: £16,000 to £25,000 per year Learning Support Assistant: £17,000 to £26,000 per year Secondary School Teaching Assistant: £18,000 to £28,000 per year SEN Coordinator: £25,000 to £40,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
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Transcription course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Transcription. Our course starts with the basics of Transcription and gradually progresses towards advanced topics. Therefore, each lesson of this Transcription is intuitive and easy to understand. Learning Outcomes: Learn about understanding transcription Accuracy and verification of transcription Ideas regarding common homophones Learn how to format a transcription Recognise speaker identification Along with the Transcription course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee When enrolling in this course,6 modules are loaded to the brim, condensed from years of experience and practice into just 1 hours of high-quality instruction; you will have access to an extensive and in-depth body of knowledge. Certification CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy certificates are available CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 01: Introduction 09:02 1: Introduction 09:02 Module 02: Formatting The Basics 09:06 2: Formatting The Basics 09:06 Module 03: Data Protection 09:26 3: Data Protection 09:26 Module 04: Medical Transcription: The What, How, Who, and Why 11:53 4: The What, How, Who and Why of Medical Transcription 11:53 Module 05: Medical Language Boot Camp 07:29 5: Medical Language Boot Camp 07:29 Module 06: Understanding Medical Reports 15:14 6: Understanding Medical Reports 15:14 Module 07: Record Keeping and Filing System 17:30 7: Record Keeping and Filing System 17:30 FREE Course Module: Time Management 25:08 8: FREE Course Module: Time Management 25:08 Order Your CPD Quality Standard Certificate (Optional) 01:00 9: CPD Certificate (Optional) 01:00 Who is this course for? Anyone from any background can enrol in this Transcription course. Requirements To enrol in this Transcription course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Transcription. Certificates Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed. CPD Quality Standard Certificate Digital certificate - £7.99
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.
2 QLS Endorsed Courses | CPD Certified | Free PDF & Hard Copy QLS Certificates | 180 CPD Points | Lifetime Access
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