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Overview Master Food Safety and Hygiene with our Level 3 Supervising Food Safety in Catering Training for Catering Professionals. Achieve a 5-Star Rating and Excel in the Hospitality Industry! Embark on a journey to become a culinary hero by mastering food safety and hygiene practices with our comprehensive Level 3 Supervising Food Safety in Catering Course. Designed for catering professionals in the hospitality sector, this CPD accredited training will empower you to achieve a five-star food hygiene rating and elevate your career. Why Choose Our Level 3 Supervising Food Safety in Catering Course? Our Level 3 Supervising Food Safety in Catering training course is tailored for senior-level professionals in the catering and hospitality industry. By enrolling in this course, you will gain: In-depth knowledge of food safety management systems, including supervising food safety, training staff effectively, and implementing best practices to minimize food hazards. A solid understanding of the importance of exceptional personal hygiene standards and UK HACCP Food Safety Standards. A competitive edge in the catering and hospitality industry, with a recognized qualification and the expertise to maintain high food safety standards in the workplace. Key Features CPD IQ Certified Free PDF Certificate Lifetime Access Description Level 3 Supervising Food Safety in Catering Course Curriculum Module 1: Introduction to Food Hygiene Explore the foundations of food hygiene and safety, understanding its significance in the catering and hospitality sector. Module 2: Origin and Nature of Food Risk Uncover the sources of food risks and learn how to identify and mitigate potential hazards in a professional setting. Module 3: Technologies and Food Safety Delve into the role of technology in maintaining food safety, and discover how to harness modern innovations to ensure high standards. Module 4: Preservation of Fruits and Vegetables Master the techniques for preserving fruits and vegetables, ensuring optimal quality and safety in your culinary creations. Module 5: Establishing Food Safety Management System (FSMS) in a Company Learn how to create and implement an effective FSMS, ensuring your workplace remains compliant with the Food Safety Act 1990. Module 6: Hazard Analysis and Critical Control Point System (HACCP) Develop your understanding of HACCP principles and their application in catering and hospitality environments. Module 7: Management of Chemical Contaminants Gain knowledge about managing chemical contaminants in food products, ensuring the safety and wellbeing of your customers. Module 8: Sustainability and Food Production Explore the principles of sustainable food production and learn how to incorporate these practices into your catering business. Module 9: Food Safety - An Introduction Dive deeper into the essential concepts of food safety, ensuring a comprehensive understanding of its importance in the industry. Module 10: Food Safety Challenges in the Global Supply Chain Learn how to navigate food safety challenges in the complex global supply chain, maintaining high standards at every stage. Module 11: Recognising Food Safety Hazards Develop the skills to recognize potential food safety hazards, ensuring swift action can be taken to prevent issues. Module 12: Designing Safety into a Food Product Discover how to design food products with safety in mind, minimizing risks and ensuring customer satisfaction. Module 13: Designing a Safe Food Process Learn how to create safe food processes, ensuring the highest standards of food safety and hygiene in your operations. Module 14: Maintaining and Improving a Food Safety Programme Master the techniques for maintaining and improving food safety programs, ensuring continuous compliance and improvement. Module 15: Food Safety in Foodservice Operations Explore best practices for ensuring food safety in foodservice operations, maintaining a healthy and safe environment for staff and customers. Module 16: Personal Hygiene Understand the importance of personal hygiene in food safety, and learn how to maintain impeccable standards in the workplace. Accreditation of Level 3 Supervising Food Safety in Catering This Level 3 Supervising Food Safety in Catering Course is CPD IQ Accredited, ensuring a high-quality course content that is recognised and approved in the UK. Certification Upon completion of Level 3 Supervising Food Safety in Catering course, you will receive a free PDF certificate to showcase your achievement. Who is this course for? Our Level 3 Supervising Food Safety in Catering Course is perfect for anyone operating in the food, catering, and hospitality industries, including: Chefs Food Critics Restaurant and café owners Food safety officers Catering managers Kitchen managers Food handlers Course Progression: This is not a regulated course, to get qualified, you can choose Food Safety Level 4 Level 1 Award in Food Safety in Catering (RQF) Level 2 Award in Food Safety for Catering (RQF) Level 3 Award in Food Safety for Catering (RQF) Level 3 Award in HACCP for Catering (RQF) Level 2 Award in Food Safety for Retail (RQF) Level 2 Award in Food Allergen Awareness and Control in Catering (RQF) Career path Potential career paths include roles such as souse chef, food safety officer, catering manager, and food and beverage manager, with average salaries ranging from £20,000 to £25,000 per annum. Invest in your future and enroll in our Level 3 Supervising Food Safety in Catering Course today to unlock your full potential in the catering and hospitality industry. Course Curriculum Module 01: Introduction to Food Hygiene Introduction to Food Hygiene 00:00 Module 02: Origin and Nature of Food Risk Origin and Nature of Food Risk 00:00 Module 03: Technologies and Food Safety Technologies and Food Safety 00:00 Module 04: Preservation of Fruits and Vegetables Preservation of Fruits and Vegetables 00:00 Module 05: Establishing Food Safety Management _System(FSMS) in a company Establishing Food Safety Management _System (FSMS) in a company 00:00 Module 06: Hazard Analysis and Critical Control_Point System (HACCP) Hazard Analysis and Critical Control_Point System (HACCP) 00:00 Module 07: Management of Chemical _Contaminants for food safety Management of Chemical Contaminants for food safety 00:00 Module 08: Sustainability and food safety Sustainability and food safety 00:00 Module 09: Food Safety -An Introduction Food Safety -An Introduction 00:00 Module 10: Food Safety Challenges in the Global Supply Chain Food Safety Challenges in the Global Supply Chain 00:00 Module 11: Recognising Food Safety Hazards Recognising Food Safety Hazards 00:00 Module 12: Designing Safety into a Food Product Designing Safety into a Food Product 00:00 Module 13: Designing a Safe Food Process Designing a Safe Food Process 00:00 Module 14: Maintaining and Improving a Food Safety Programme Maintaining and Improving a Food Safety Programme 00:00 Module 15: Food Safety in Foodservice Operations Food Safety in Foodservice Operations 00:00 Module 16: Personal Hygiene Personal Hygiene 00:00
This course will cover the legislation associated with working in confined spaces. What constitutes a confined space, the potential hazards, safe operating procedures, and emergency procedures and rescue. Important note: This is an awareness course only, designed for people who need to be aware of the hazards and risks of confined space working but are not required to enter a confined space. If you are required to perform any work activity in, or in the proximity of, a confined space then you will also need to have an 'approved' standard of practical training at the 'appropriate' level.
This course explores the risk to workers caused by the Covid-19 virus and covers actions that can be taken by employers and employees to protect themselves and each other as they return to work. The content of this course is based on the latest information from the UK government and the NHS.
At the end of this course you will have an understanding of health and safety legislation and you'll be able to list common causes of accidents. You'll also be able to understand good practice in relation to electricity and describe the use of safe manual handling techniques as well as be able to describe good practice associated with COSHH regulations, be able to describe your action in the event of a fire and also you will know how to deal with an accident.
This course is aimed at anyone who undertakes work at height, or who employs people who regularly work at height. It covers what constitutes work at height, the safety issues, and how to assess and reduce some of the risks. Important note: Please note that this is an awareness course only, if your duties include working at height you will also need further practical training, you can get in touch with us to arrange this.
This course acts as an introduction to personal safety for lone workers and applies to those that work alone within business premises, mobile workers and homeworkers. It covers the legal responsibilities of both employers and employees, some of the common security precautions that can be implemented, practical steps you can take to avoid conflict in lone worker situations and other elements that can contribute to lone worker safety.
Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 £135 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 Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Supporting and engaging with different parts of the organisation and interact with internal or external customer.