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.
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Benefits you will gain from this Level 4 Certificate for Higher Level Teaching Assistants (RQF) course : Premium quality, intensive e-learning course materials Find a well-defined website for teaching 24/7 teacher assistance Step-by-step guidelines Budget-friendly price Earned recognition from the Uk's top awarding bodies Study in a user-friendly, advanced student portal Convenient and Flexible time limit Qualification Summary Qualification type: Focus Awards Level 4 Award Qualification title: Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Accreditation status: Accredited Level: 4 Guided Learning Hours (GLH): 87 Total Qualification Time (TQT): 360 Qualification number (QN): 601/8533/8 Course Curriculum Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) course comprises seven mandatory units. These are as follows: Awareness of special educational needs Child development and welfare Curriculum planning, delivery and assessment Developing skills to promote positive working relationships Promoting positive behaviour in children and young people Providing support for individual learners and small groups Understand the Higher Level Teaching Assistant role ****Qualification Curriculum**** **Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF)** Unit 1: Understand the Higher Level Teaching Assistant role Unit 2: Child development and welfare Unit 3: Awareness of special educational needs Unit 4: Promoting Positive Behaviour in Children and Young People Unit 5: Providing support for individual learners and small groups Unit 6: Developing skills to promote positive working relationships Unit 7: Curriculum planning, delivery and assessment Learning Outcomes What skills will I gain from this Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Course? Inclusive Teaching and Learning Teaching, Learning and Assessment Approaches Providing opportunities for English, Maths, ICT and Wider Skills Theories of Learning Communication Induction, Icebreakers and Ground Rules Creating a Scheme of Work Devising an Inclusive Teaching and Learning Plan (Session Plan) Understand the Higher Level Teaching Assistant role Self-Evaluation and Continuing Professional Development Learning Duration Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Total Qualification Time It is an estimate of the total amount of time anticipated that a learner would spend to demonstrate mastery of all learning outcomes to achieve the award of the qualification. The whole qualification time is defined as GLH and an estimate of the time a learner will devote to preparation, study, and assessment. It does not underlie supervision by a lecturer, supervisor, or tutor. In the case of qualification, the credit value is defined by TQT, and one credit corresponds to ten hours of learning. Guided Learning Hours for this qualification is 87. Total Qualification Time for this qualification is 360 hours. The total credit value for this qualification is 36 Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Guided Learning Hours These hours comprise all real-time contact time, hours of lectures or tutorial or supervision of a learner, tutor, trainer or other education providers. Progression Level 4 Certificate in Education and Training Level 5 Diploma in Education and Training Level 3 Award in Understanding the Principles and Practices of Assessment Level 3 Award in Assessing Competence in the Work Environment Level 3 Award in Assessing Vocational Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 4 Award in Understanding the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in Learning and Development Level 4 Diploma in Learning and Development Method of Assessment: Unit 1: In Unit 1, you need to complete a variety of writing assignments Unit 2: In Unit 2, there should be an assessment taken in the workplace, primarily evaluating learners' work, professional discussions with audio-video evidence Unit 3: In Unit 3, you will be demonstrated through your delivered work items and audio-video evidence after evaluating learners in a training context. Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) Video Assessment You have to plan many things, such as observation, questioning/ professional discussion, and inspection of supporting work products evidence. Detailed assignment instructions will be made available to you in the 'Guidance for Achieving the Unit' section of your learning portal with a careful and clear explanation. You have to submit all your assignments via the online portal Certification Successful candidates will be awarded a Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) from Focus Awards Limited. Who is this course for? You will have the ability to accomplish a lot of things with this course certificate. Here are just a few examples: Primary School Teacher Secondary School Teacher Private Tutor Freelance Teacher/ Trainer Consultant Job hunters & School leavers Educational Psychologist Office clerk & Administration Assistant College or University Student Requirements The Focus Awards Level 4 Certificate for Higher Level Teaching Assistants (RQF) course does not have any specific entry requirements for students. However, you must be at least 16 years old or above to register and undergo an initial assessment. Since it is a level 3 qualification, you must pass the minimum 1st level of the literacy assessment Career path You will have the ability to accomplish a lot of things with this course certificate. Here are just a few examples: Primary School Teacher Secondary School Teacher Private Tutor Freelance Teacher/ Trainer Consultant Job hunters & School leavers Educational Psychologist Office clerk & Administration Assistant College or University Student
Are you ready to elevate your career and become a key player in the world of business governance? Our Compliance and Risk Management course is designed to equip you with the essential skills and knowledge to navigate the complexities of today's regulatory landscape. This course is not just another step in your professional development - it's a game changer. According to Reed a Compliance Officer can earn from £25,000 to £30,000 in a year depending on qualification, experience, location and other factors. Don't miss this opportunity to become an indispensable asset to any organisation. Enrol in our Compliance and Risk Management course today and take the first step towards a safer, more compliant future. Key Features: CPD Certified Compliance and Risk Management course Developed by Specialist Lifetime Access Course Curriculum: Module 1: The Role of Compliance and its Significance Module 2: Elements and Structure of Compliance Module 3: Managing Compliance through Compliance Management System (CMS) Module 4: Conducting Compliance Audits Module 5: Interconnection between Compliance and Ethics Module 6: Types of Risk - Pure Risk and Financial Risk Module 7: Exploring the History, Operations, Policy, and Strategy of Risk Management Module 8: The Process, Monitoring, and Evaluation in Risk Management Learning Outcomes: Understand the pivotal role of compliance and its organizational implications. Analyze the structural components essential for an effective compliance framework. Implement a Compliance Management System for efficient regulatory adherence. Conduct comprehensive compliance audits to ensure organizational adherence to regulations. Recognize the intricate relationship between compliance practices and ethical considerations. Differentiate between pure and financial risks, demonstrating proficiency in risk management. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Certificate in Compliance and Risk Management course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Compliance and Risk Management. Moreover, this course is ideal for: Professionals seeking in-depth knowledge of compliance and risk management. Executives responsible for ensuring regulatory compliance within their organizations. Risk management professionals aiming to enhance their strategic understanding. Individuals aspiring to pursue a career in compliance and risk management. Corporate decision-makers looking to strengthen their organizations' governance and risk protocols. Requirements There are no requirements needed to enrol into this Certificate in Compliance and Risk Managementcourse. We welcome individuals from all backgrounds and levels of experience to enrol into this Certificate in Compliance and Risk Management course. Career path After finishing this Certificate in Compliance and Risk Management course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Certificate in Compliance and Risk Management are: Compliance Officer Risk Analyst Regulatory Affairs Specialist Internal Auditor Ethics and Compliance Manager Risk Management Consultant Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.