The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00
'Are you looking to start a career in negotiation or enhance your existing negotiation skills? Then this Level 5 Negotiation Skills will provide you with a solid foundation to become a confident negotiator and help you develop your skills. Negotiation skills can be useful throughout one's life. It is about influencing outcomes in a way that maximizes your benefit or value. In sales, negotiation works toward closing the deal in a mutually satisfactory manner. Those who master the art of negotiation can convince the opposite party that they have got the best deal possible. When, in reality, it is the seller or the business that has come out on top. This exclusive course is designed to assist candidates in taking the most important step in their lifelong career journey. Taking on a leadership role for the first time can be both exciting and intimidating. Taking charge of a team or business of any size essentially takes on much more responsibility and accountability. 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Free PDF certificate as soon as completing the Level 5 Negotiation Skills course. ******Courses are included in this Bundle Course: Course 01: Level 5 Negotiation Skills Course 02: Creating a Business Start-Up Course 03: Level 2 Certificate in Business Management Course 04: Level 2 Diploma in Business Administration ******Others included in this Level 5 Negotiation Skills bundle course: Free 4 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the course ] Detailed course curriculum of this Course: Module 1: An Overview of Negotiation Defining Negotiation Different Types of Negotiation What is Positional Bargaining? What is Principled Negotiation? Module 2: How to Prepare For Negotiations How to Manage Your Fear Personal Preparation Establishing Your WATNA and BATNA Identify your WAP Identifying Your ZOPA Module 3: The Process of Negotiation Preparation and Planning Clarification and Justification How to Exchange Information The Bargaining Stage Conclude and Implement Module 4: Ways of Developing Persuasion & Influencing Skills Different Steps in the Persuasion Process Influencing Skills Module 5: Ways of Developing Communication Skills Ways of Asking Questions Understanding and Using Probing What are the Listening Skills? Interpretation Module 6: How to Develop Active Listening Skills Fundamentals of Active Listening Communication Process Explained Module 7: Comprehending Body Language Comprehending Body Language Comprehending Facial Expressions Module 8: Assertiveness and Self Confidence What is Self-Esteem? Symptoms of Low Self-Esteem and the Root Causes of It How to Improve Self-Esteem How to Build Self-Esteem Module 9: Managing Anger What is Anger? Managing Anger and its Dimensions The Costs of Anger The Anger Process and How It Affects Our Thinking Module 10: Managing Stress How to Define and Identify Stress Manage Stress Module 11: Negotiation Tactics to Closing a Better Deal Develop Clear Outcomes Treat The Other Party With Respect At All Times Ask a Lot of Questions Ask For What You Want Ask or Offer Something of Relative Value, Including Intangibles Don't Be the First to Offer to 'Split the Difference' Close with Confidence and Clarity Module 12: Ways of Overcoming Sales Objections How to Overcome Sales Objections? Building Credibility Observation Skills ---------------- ***Creating a Business Start-Up*** Course Curriculum: Module 01: Fundamental Steps for a Business Start-up Module 02: Strategic Thinking about New Business Module 03: The Best Business Ideas for You Module 04: Developing a Start-up Business Plan ---------------- ***Level 2 Certificate in Business Management*** Course Curriculum: Module 01: An Overview of Business Management Module 02: Fundamental Concepts of Human Resource Management Module 03: Fundamental Concepts of Customers Relationship Management Module 04: Fundamental Concepts of Performance Management Module 05: Fundamental Concepts of Risk Management ---------------- ***Level 2 Diploma in Business Administration*** Course Curriculum: Module 01: Communication in a Business Environment Module 02: Principles of Providing Administrative Services Module 03: Principles of Business Document Production and Information Management Module 04: Understand Employer Organisations Module 05: Manage Personal Performance and Development Module 06: Develop Working Relationships with Colleagues Module 07: Manage Diary Systems Module 08: Produce Business Documents Module 09: Health and Safety in a Business Environment Module 10: Handle Mail Module 11: Principles of Digital Marketing Module 12: Administer Finance Module 13: Understand Working in a Customer Service Environment Module 14: Principles of Team Leading Module 15: Principles of Equality and Diversity in the Workplace Module 16: Exploring Social Media Module 17: Understand the Safe Use of Online and Social Media Platforms ---------------- Assessment Method After completing each module of the Level 5 Negotiation Skills, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Level 5 Negotiation Skills course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This course is suitable for candidates committed to their ongoing professional development. This Level 5 Negotiation Skills could prove instrumental in taking that important step into a leadership position for the first time. Existing managers and business owners could also find the teachings of this course invaluable. 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Unlock the fundamentals of Islamic finance with our comprehensive online course. Whether you're new to the field or seeking to deepen your understanding, this course offers a structured exploration into the principles that govern ethical financial practices in Islam. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In this course on Fundamentals of Islamic Finance, learners delve into the ethical principles and operational framework of financial practices aligned with Islamic law (Shariah). They explore the fundamental concepts that distinguish Islamic finance from conventional finance, such as the prohibition of interest (riba) and the emphasis on profit-sharing arrangements (mudarabah and musharakah). The course covers practical applications of Islamic finance in various financial products and services, including Takaful (Islamic insurance) and Islamic funds. It also addresses risk management strategies unique to Islamic finance contexts. Learners gain insights into the adaptation and implementation of Islamic financial principles within the regulatory environment of the United Kingdom. Overall, the curriculum equips learners with a comprehensive understanding of how Islamic finance operates ethically and effectively within global financial systems, preparing them to navigate and contribute to this specialized field. Course Curriculum Module 01: Ethics and Principles of Islamic Finance Module 02: Fundamentals of Islamic Finance Module 03: Islamic Finance in Practice Module 04: Takaful Module 05: Islamic Funds and Risk Management Module 06: Islamic Finance in the UK Learning Outcomes: Explain key principles of Islamic finance ethics and regulations confidently. Apply fundamental concepts of Islamic finance in theoretical scenarios effectively. Analyse practical applications of Islamic finance principles in real-world contexts. Describe the principles and operations of Takaful insurance accurately. Evaluate risk management strategies within Islamic funds comprehensively. Discuss the development and challenges of Islamic finance in the UK. CPD 10 CPD hours / points Accredited by CPD Quality Standards Fundamentals of Islamic Finance 1:26:06 1: Module 01: Ethics and Principles of Islamic Finance 11:06 2: Module 02: Fundamentals of Islamic Finance 14:52 3: Module 03: Islamic Finance in Practice 10:22 4: Module 04: Takaful 14:03 5: Module 05: Islamic Funds and Risk Management 18:28 6: Module 06: Islamic Finance in the UK 16:15 7: CPD Certificate - Free 01:00 Who is this course for? Financial professionals seeking knowledge in Islamic finance principles. Students interested in understanding ethical financial practices in Islamic contexts. Researchers exploring the application of Sharia-compliant finance in global markets. Individuals pursuing careers in Islamic banking and finance sectors. Consultants advising on financial services compliant with Islamic law. Career path Islamic Finance Analyst Sharia Compliance Officer Takaful Insurance Specialist Islamic Investment Advisor Financial Risk Manager Islamic Finance Consultant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
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In today's world, food allergies are a critical concern for consumers and businesses alike. Whether you are a food industry professional, a healthcare provider, or simply someone interested in understanding food allergens better, our comprehensive course is designed to equip you with the essential knowledge and skills needed to navigate this complex landscape. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access This course on Food Allergen Awareness teaches you the essentials of food allergens. You will learn what food allergens are and how they affect people. The course covers common allergic reactions and how to treat them, ensuring you know what to do in case of an emergency. You will also learn how to provide accurate allergen information to consumers, helping them make safe food choices. Additionally, the course offers guidance for food businesses, teaching best practices to avoid cross-contamination and maintain a safe environment for customers with allergies. By the end, you will be better equipped to manage food allergens, protect consumers, and ensure safety in food handling and preparation. Course Curriculum Module 01: Basics of Food Allergens Module 02: Allergic Reactions and Treatments Module 03: Allergen Guidance for Consumers Module 04: Allergen Guidance for Food Businesses Learning Outcomes: Understand the fundamental concepts and types of food allergens. Recognise symptoms of allergic reactions and appropriate treatments. Identify key allergen information for consumer awareness. Implement allergen management strategies in food businesses. Interpret allergen labelling and regulatory requirements. Enhance food safety by mitigating allergen risks. CPD 10 CPD hours / points Accredited by CPD Quality Standards Basics of Food Allergen Awareness 44:42 1: Module 01: Basics of Food Allergens 08:12 2: Module 02: Allergic Reactions and Treatments 12:52 3: Module 03: Allergen Guidance for Consumers 08:54 4: Module 04: Allergen Guidance for Food Businesses 13:44 5: CPD Certificate - Free 01:00 Who is this course for? Food industry workers Restaurant owners and managers Health and safety officers Consumer advocacy groups Food labelling specialists Career path Food safety officer Quality assurance manager Restaurant manager Food labelling specialist Health and safety inspector Consumer protection advocate Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
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In today's world, food allergies are a critical concern for consumers and businesses alike. Whether you are a food industry professional, a healthcare provider, or simply someone interested in understanding food allergens better, our comprehensive course is designed to equip you with the essential knowledge and skills needed to navigate this complex landscape. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access This course on Food Allergen Awareness teaches you the essentials of food allergens. You will learn what food allergens are and how they affect people. The course covers common allergic reactions and how to treat them, ensuring you know what to do in case of an emergency. You will also learn how to provide accurate allergen information to consumers, helping them make safe food choices. Additionally, the course offers guidance for food businesses, teaching best practices to avoid cross-contamination and maintain a safe environment for customers with allergies. By the end, you will be better equipped to manage food allergens, protect consumers, and ensure safety in food handling and preparation. Course Curriculum Module 01: Basics of Food Allergens Module 02: Allergic Reactions and Treatments Module 03: Allergen Guidance for Consumers Module 04: Allergen Guidance for Food Businesses Learning Outcomes: Understand the fundamental concepts and types of food allergens. Recognise symptoms of allergic reactions and appropriate treatments. Identify key allergen information for consumer awareness. Implement allergen management strategies in food businesses. Interpret allergen labelling and regulatory requirements. Enhance food safety by mitigating allergen risks. CPD 10 CPD hours / points Accredited by CPD Quality Standards Basics of Food Allergen Awareness 44:42 1: Module 01: Basics of Food Allergens 08:12 2: Module 02: Allergic Reactions and Treatments 12:52 3: Module 03: Allergen Guidance for Consumers 08:54 4: Module 04: Allergen Guidance for Food Businesses 13:44 5: CPD Certificate - Free 01:00 Who is this course for? Food industry workers Restaurant owners and managers Health and safety officers Consumer advocacy groups Food labelling specialists Career path Food safety officer Quality assurance manager Restaurant manager Food labelling specialist Health and safety inspector Consumer protection advocate Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
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