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Constrain how organisations, companies, or the government utilise your personal information through this Data Protection course. Ensure that the

Constrain how organisations, companies, or the government utilise your personal information through this Data Protection Training course. Ensure

Immerse yourself in the vibrant and ever-evolving world of culinary arts with the UK Cooking and Gastronomy Technician course. This unique programme is tailored to cultivate your passion for gastronomy, blending traditional techniques with contemporary approaches. The journey begins with an enlightening introduction to gastronomy, setting the stage for a deeper dive into its rich concepts. As you progress, the curriculum delves into the intricacies of thermal food processing and the art of meat and fish preservation. Each module is carefully crafted to unravel the secrets of exquisite culinary preparation, focusing separately on meat and fish, ensuring a well-rounded skillset. The latter part of the course addresses critical aspects of food safety, including the identification and management of physical, chemical, and allergenic hazards in the kitchen. This knowledge is particularly pertinent in today's context, as demonstrated in Module 09, which provides invaluable insights into adapting food businesses during challenging times like the COVID-19 pandemic. By the end of this course, learners will not only have honed their culinary skills but also acquired the expertise to navigate the dynamic gastronomic industry responsibly and innovatively. Learning Outcomes Comprehend the fundamentals and advanced concepts of gastronomy. Master thermal processing techniques and their application in food preparation. Acquire skills in preserving and processing meat and fish. Develop an understanding of safety hazards in the culinary environment. Learn strategies for adapting food businesses in the face of global challenges. Why choose this UK Cooking and Gastronomy Technician 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 UK Cooking and Gastronomy Technician course for? Aspiring chefs and culinary enthusiasts seeking advanced gastronomic knowledge. Food industry professionals aiming to expand their skillset in food processing. Entrepreneurs in the food sector looking to adapt their business strategies. Individuals interested in understanding food safety and hazard management. Culinary students desiring a comprehensive education in modern gastronomic techniques. Career path Gastronomy Technician: £20,000 - £30,000 Culinary Specialist: £25,000 - £40,000 Food Safety Manager: £28,000 - £45,000 Food Processing Supervisor: £22,000 - £35,000 Culinary Entrepreneur: Variable depending on business success Food Industry Consultant: £30,000 - £50,000 Prerequisites This UK Cooking and Gastronomy Technician does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Course Curriculum Module 01: An Introduction to Gastronomy An Introduction to Gastronomy 00:19:00 Module 02: Gastronomic Concepts Gastronomic Concepts 00:25:00 Module 03: Thermal Processing of Food Thermal Processing of Food 00:31:00 Module 04: Meat Preservation and Processing Meat Preservation and Processing 00:38:00 Module 05: Preservation and Processing of Fish Preservation and Processing of Fish 00:27:00 Module 06: Culinary Techniques- Meat Preparation Culinary Techniques-Meat Preparation 00:24:00 Module 07: Culinary Techniques-Fish Preparation Culinary Techniques-Fish Preparation 00:20:00 Module 08: Physical, Chemical and Allergenic Hazards Physical, Chemical and Allergenic Hazards 00:30:00 Module 09: Reopening and Adapting Your Food Business during COVID-19 Reopening and Adapting Your Food Business during COVID-19 00:16:00 Assignment Assignment - UK Cooking and Gastronomy Technician Course 00:00:00

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

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

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 Master Exam Prep This workshop prepares you for the Scrum.org Professional Scrum Master (PSM)™ 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. A Scrum Master helps project teams properly use the Scrum framework, increasing the likelihood of the project's overall success. Scrum Masters understand Scrum values, practices, and applications and provide a level of knowledge and expertise above and beyond that of typical project managers. Scrum Masters act as 'servant leaders', helping the rest of the Scrum Team work together and learn the Scrum framework. Scrum Masters also protect the team from both internal and external distractions. The Professional Scrum Master™ I (PSM I) certificate is a Scrum.org credential that enables successful candidates to demonstrate a fundamental level of Scrum mastery. PSM I credential holders will grasp Scrum as described in The Scrum Guide™1 and recognize how those concepts can be applied. They will also share a consistent terminology and approach to Scrum with other certified professionals. 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 Master Workshop, which is aligned with The Scrum Guide™ and was built based on PSM I credentialed expertise. 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. What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSM I exam Comprehend the Agile Manifesto and mindset Explain the fundamental principles of Scrum, including events, artifacts, and roles Guide the Scrum team in their responsibilities Define Ready and Done Write requirements in the form of user stories Estimate using planning poker and prioritize using MoSCoW Facilitate the team through the 5 Sprint events Fulfill the role of Scrum Master in a Scrum project Create Information Radiators to enable transparency Define the structure of the retrospective Getting Started Introductions Workshop orientation Exam prep preview Foundation Concepts Agile History, Values, and Mindset Introduction to Scrum Scrum events Scrum artifacts Scrum Roles and Responsibilities Product Owner responsibilities Scrum Master responsibilities The Team responsibilities Cross-functional teams Building effective teams The Product Backlog and User Stories The Product Backlog User Stories Definition of Done Backlog grooming Estimating User Stories Story points, planning poker Prioritizing User Stories The Sprint Team capacity and velocity The Sprint Planning Meeting The Sprint Backlog The Sprint Learning to self-manage, self-organize, self-improve Sprint Review and Retrospective Project Progress and Completion The Daily Scrum The Task Board and The Burndown Chart Information Radiators Closing a Scrum Project Summary and Next Steps Review of course goals, objectives, and content Exam prep next steps

Scrum Product Owner Exam Prep: In-House Training 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

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step