3271 Courses

Qualsafe Food Allergen Awareness (RQF) Half day course This course gives learners the knowledge and understanding of food allergens and foods that commonly cause intolerances Teaches how to minimise the risk of cross-contamination from allergenic ingredients Benefits of this course: This qualification is aimed at food handlers and other staff involved in food preparation and services It provides knowledge and understanding of food allergens and foods that commonly cause intolerances Many people are allergic to foods, or have a food intolerance There is a duty in law for food handlers to ensure these people do not come to harm, either by going into anaphylactic shock and their potential death, or by making them feel really ill for a long period after consuming the food. Course Contents: The characteristics and consequences of food allergies and intolerances How to identify and control contamination from allergenic ingredients Ways to accurate communicate of allergen information to consumers Accredited, Ofqual regulated qualification: This Food Allergen Awareness training course is a nationally recognised, Ofqual regulated qualifications accredited by Qualsafe Awards. This means that you can be rest assured that your Food Allergen Awareness Certificate provides information for best practice to make a real difference to the lives of people who suffer from food allergies or intolerances. It also helps to stay on the right side of the law! The Ofqual Register number for this course is 610/0114/8 Classroom £95.00 pp Enquire about this course Half day course This course gives learners the knowledge and understanding of food allergens and food intolerances Teaches how to minimise the risk of cross-contamination from allergenic ingredients Enquire about this courseCourse ContentsUpcoming Dates Face to Face / Classroom Courses Would you like this course? Contact us and we'll set a date. We also run short, CPD Accredited training sessions in Food Allergens and Intolerances. Enquire about this courseCourse Contents Benefits of this course: This qualification is aimed at those who are working in, or preparing to work in a food handling, food retail or food manufacturing role It provides knowledge and understanding of food allergens and intolerances Many people are allergic to foods, or have a food intolerance There is a duty in law for food handlers to ensure these people do not come to harm, either by going into anaphylactic shock and their potential death, or by making them feel really ill for a long period after consuming the food. This is an Ofqual regulated qualification, showing your due diligence and care for your customers Enquire about this course Course Contents The characteristics of food allergens, food intolerance and coeliac disease The importance of, and procedures for identifying and controlling food allergen risks How to provide accurate food allergen information Enquire about this course Our Reviews Facebook 5.0 Rating READ FACEBOOK REVIEWS "Informative and very enjoyable!" Google Reviews 5.0 Rating READ GOOGLE REVIEWS Accredited, Ofqual regulated qualification This Food Allergen Awareness training course is a nationally recognised, Ofqual regulated qualifications accredited by Qualsafe Awards. This means that you can be rest assured that your Food Allergen Awareness Certificate provides information for best practice to make a real difference to the lives of people who suffer from food allergies or intolerances. It also helps to stay on the right side of the law! The Ofqual Register number for this course is 610/0114/8

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

Gain comprehensive knowledge and practical skills for safe and effective fine-bore nasogastric tube insertion with our healthcare professional course.

Enhance your knowledge with EnergyEdge's course on topsides processing systems. Enroll now to gain valuable skills and knowledge.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

ISO 13485:2016 specifies requirements for a quality management system where an organization needs to demonstrate its ability to provide medical devices and related services that consistently meet customer and applicable regulatory requirements. Such organizations can be involved in one or more stages of the life-cycle, including design and development, production, storage and distribution, installation, or servicing of a medical device and design and development or provision of associated activities (e.g. technical support). ISO 13485:2016 can also be used by suppliers or external parties that provide product, including quality management system-related services to such organizations.

Level Three, the final learning stage of our professional development courses, aims to bring you to the highest standard of advanced detailing skill through the spectrum of; rotary polisher techniques, wet sanding by machine and refinement, a full understanding of SMAT and DAT polishes and compounds and their role in efficiency and correction on different paint types, a wide selection of pads and equipment such as nano polishers and attachments. Mechanical training in wheel removal and jacking on multiple vehicle styles allowing deep cleaning access to vehicle arch and components, and specialist finishes on carbon fibre, GRP and gel coat are examined, demonstrated and explained. Level Three aims to bring you to the highest standard of advanced detailing skill, through the spectrum of rotary polisher techniques, wet sanding by machine, a full understanding of SMAT and DAT polishes and compounds, a wide selection of pads and equipment such as nano polishers and attachments. Mechanical training in wheel removal and jacking on multiple vehicle styles allowing deep cleaning access to vehicle arch and components, and specialist finishes on carbon fibre, GRP and gel coat are examined and explained. • DAT/SMAT technology • Pneumatic polishers and sanders • Advanced Dual Action technique • Rotary machine polishers • Glass polishing • Wheel removal • Under-arch cleaning • Cleaner chemistry • Time management and planning • Trim and seat removal • In-depth interior detailing • Cloth types • Advanced Dual Action technique • Rotary machine polishers • Mini/nano machine polishers • Wet-sanding • Advanced pad types • GRP, carbon and insulative substrates • Badge and trim removal • Texture levelling • Show preparation • Ceramic coatings • Polymer coatings • Coating troubleshooting • Coatings after-care • Fillers and glazes for show finishes • Business management • Business administration • Safe working practices • Safe vehicle lifting - ramp/jacking • Workshop planning • Advanced chemical knowledge • Risk assessments • Gloss meter usage • PPE • Employee management Following completion of training and ongoing assessment, case studies and exercises will lead to the level three exam and, upon grading, award of our advanced detailing Level 3 Detailing. Course Length 3 Days (0930 - 1600) Group Size One-to-One Location UK Detailing Academy, 2 Purlieus Barn, Ewen, Cirencester, GL7 6BY Experience / Qualification Completion of Level 2 Refreshments or Lunch Refreshments included

Advanced Professional Certificate Courses These are short online certificate courses of a more advanced nature designed to help you develop professionally and achieve your career goals, while you earn a professional certificate which qualifies you for the appropriate continuous professional development (CPD). Advanced Professional Certificate in Strategic Financial Management Advanced Professional Certificate in Strategic Financial Management aims to enable the learner to strategically manage the finances of an organization by learning key concepts and skills in financial statement analysis, Identifying and evaluating sources of finance, cost analysis and control, analysis and preparation of financial budgets while using the relevant accounting practices for the strategic success of the organization. The learner will be able to interpret, analyze and develop financial statements, gather useful financial information and control the costs of business operations with a detailed understanding of different types of financial statements, their structure, purpose and underlying concept and the latest techniques and methods employed in Cash flow controls. The learner will also be able to evaluate and appraise different investment options. Learning Outcomes After the successful completion of the certificate, the student will be able to learn: The introduction, objectives and features of cost accounting. Difference between cost accounting and financial accounting. Various tools of cost accounting. Understanding the concept and Types of Costing Systems The various strategies of pricing policy. Financial performance and financial performance measures and analysis. Understanding the nature and utility of different financial ratios. Introduction to the Budgeting. To learn about vital roles in budget preparation. Concept, types and different approches to Budgeting. Study the various classification of sources of funds. Different concepts, motives and analysis of investment. The concept of working capital management. Accreditation All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the knowledge of the learner in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, CFO, Director, Manager, Supervisor Finance Manager Investment Manager General Manager Accountants Line and functional Managers

Scrum Product Owner Exam Prep This workshop prepares you for the Scrum.org PSPO™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's need The Professional Scrum Product Owner™ I (PSPO I) certificate is a Scrum.org credential that enables successful candidates to demonstrate a fundamental level of Scrum mastery. PSPO I credential holders demonstrate an intermediate understanding of the Scrum framework, and how to apply it to maximize the value delivered with a product. They will exhibit a dedication to continued professional development, and a high level of commitment to their field of practice. Scrum.org does not require that you take their own sponsored or any preparatory training. However, training can facilitate your preparation for this credential. And this course is based on IIL's Scrum Product Owner Workshop, which is aligned with The Scrum Guide™. It will provide you with the information you need to pass the exam and IIL will make the arrangements for your online exam. You will be provided with an exam code and instructions, so that you can take the exam at your convenience, any time you are ready after the course. Passwords have no expiration date, but they are valid for one attempt only. See additional exam details on the next page. What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSPO I exam Identify the characteristics of a successful Product Owner Create a powerful vision statement Apply techniques to understand your customers and the market Manage and engage stakeholders Write effective user stories with acceptance criteria Utilize techniques to visualize and prioritize the Product Backlog Participate in the 5 Scrum events as the Product Owner Understand the Product Owner's role in closing a Scrum project Getting Started Introductions Workshop orientation Exam prep preview Fundamentals Recap Agile Manifesto, values, and mindset Product Owner characteristics Good vs. great Product Owner Product Ownership Product ownership Project vision Understand your customers and market Personas Stakeholder management and engagement The Product Backlog User Stories and Acceptance Criteria Preparing User Stories for a Sprint The Product Backlog Visualizing the Product Backlog Product Backlog Prioritization Technical Debt Sprint Planning and Daily Standups Sprint Planning Planning Poker Team Engagement Daily Standups Sprint Review, Retrospectives, and Closing Sprint Reviews Key Agile Patterns Retrospectives Closing the Project Summary and Next Steps Review of course goals, objectives, and content Exam prep next steps