5518 Sciences courses

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. 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 00:04:00 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 Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 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 00:06:00 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 - Data Science & Machine Learning with Python 00:00:00

Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!  Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations. Course Highlights Data Bundle Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Data Bundle Course into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Data Bundle Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Data Bundle Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Data Bundle Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 1: Database Basics What is a Database FREE 01:00:00 Definition of Terms FREE 01:00:00 Database Users and Languages 01:00:00 Components of a Database System 01:00:00 Basic Set Concepts 01:00:00 Relations as a Database 01:00:00 Relational Database Operators 01:00:00 Database keys 01:00:00 Module 2: Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day FREE 01:00:00 Why Is Big Data Important? FREE 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Module 3: Data Protection Why Internet Marketers Need More Protection FREE 01:00:00 You Can't Be Anonymous FREE 00:15:00 Start With Basic Security Measures 01:00:00 Using Disclaimers 01:00:00 Proper Use Of Email 01:00:00 Protecting Product Rights 01:00:00 Protecting Your Website 01:00:00 Terms Of Use Or Service 00:30:00 Privacy Policy 01:00:00

Having the fundamental knowledge of electricity for every homeowner pays off letting you save a lot of money. This course has been designed to serve this purpose giving you the basics of electricity, introduction to AC and DC connection, and many more. Start learning Basic Electricity Training that will give you enough knowledge and skills to build your dream career. About this course This Basic Electricity Training helps to grow your skills faster through the power of relevant content and world-class tutors. In this industry-leading bite-sized course, you will learn up-to-date knowledge in the relevant field within a few hours and get certified immediately. The modules of this course are very easy to understand and all of the topics are split into different sections. You will easily grasp and use the knowledge gained from this course in your career and go one step ahead of your competitors. The course is designed to improve your employability and provide you with the tools you need to succeed. Enrol today and start learning your essential skills. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Get 24/7 help or advice from our email and live chat teams Get full tutor support on weekdays (Monday to Friday) Course Design The Basic Electricity Training is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Who Is This Course For:​ This Basic Electricity Training is ideal for those who want to be skilled in this field or who wish to learn a new skill to build their dream career. If you want to gain extensive knowledge, potential experience, and be an expert in the related field then this is a great course for you to grow your career. Requirements This course is for anyone who would like to learn Basic Electricity Training related skills to aid his/her career path. No formal entry prerequisites are required Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Course Content Module 1: Basic Electricity Module 2: Ohm's Laws and Electrical Units Module 3: Direct Current Fundamentals Module 4: Introduction to Alternating Current Course Content Basic Electricity Module 1: Basic Electricity 00:08:00 Module 2: Ohm's Laws and Electrical Units 00:10:00 Module 3: Direct Current Fundamentals 00:13:00 Module 4: Introduction to Alternating Current 00:12:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Unlock the power of Cognitive Behavioural Therapy (CBT) with our comprehensive course. Learn effective techniques to treat eating disorders and gain valuable skills for therapists, coaches, and mental health professionals.

The Interrogations and Confessions Psychology Online Course helps you understand the link between psychology, law, and the way confessions are made. You will explore how the police question people, what the law says about confessions, and why people sometimes confess to things they did not do. This course also looks at how drugs, stress, and pressure can affect memory and decision-making. It uses real examples and research to explain key ideas in a simple way. If you are interested in the justice system or human behaviour, this course will give you useful insights. Course Curriculum ✓ Module 1: The English Law on Confessions ✓ Module 2: Interrogation in Britain ✓ Module 3: The Royal Commission Research: Persons at Risk amid Police Custody ✓ Module 4: Identifying ‘Oppressive’ Police Interviewing Tactics in Britain ✓ Module 5: Theories of Reason of Confession by Suspects ✓ Module 6: The Psychological Assessment of False Confession ✓ Module 7: The Effects of Drugs and Alcohol Upon the Reliability of Testimony Interrogation Techniques and Miscarriages of Justice Learning Outcomes Understand how English law treats confessions in court. Learn how police in Britain carry out interrogations. Explore why some people are more at risk in police custody. Identify unfair or ‘oppressive’ ways of police questioning. Understand the main reasons why people confess to crimes. Learn about false confessions and how to spot them. See how drugs and alcohol affect memory and reliability. Study cases of wrong convictions caused by false confessions. Understand how psychology helps improve police methods. Gain skills to assess the reliability of statements and confessions. Who is this course for? This course is perfect for anyone interested in psychology, law, or criminology. It suits students, legal assistants, support workers, or anyone who wants to learn how confessions work in real-life cases. No legal background is needed to take part. Eligibility Requirements You should have a good understanding of written English. No special knowledge of law or psychology is needed—just an interest in the subject and a desire to learn. Career Path This course can help you move towards roles such as legal assistant, police support staff, forensic psychology assistant, criminal justice worker, or social care worker. It also supports further study in law, psychology, or criminology. (Learn more about this online course)

Operations Management and Business Systems The Operations Management and Business Systems course gives you the skills to manage and improve how a business runs. You will learn how to plan, organise, and control operations to increase efficiency. This course covers everything from supply chain and project planning to managing people, time, and stress at work. You'll also learn how to write better at work and communicate clearly. Whether you work in a small business or a large company, this course helps you handle tasks better and lead with confidence. Course Curriculum Module 01: Introduction to Operations Management Module 02: Project Management Module 03: Business Development and Succession Planning Module 04: Process Management Module 05: Supply Chain Management Module 06: Planning & Forecasting Operations Module 07: Procurement & Purchasing Management Module 08: Manufacturing & Delivery Operations Module 09: Quality Management Module 10: Managing Risk and Recovery Module 11: Performance Management Module 12: Talent Management Module 13: Communication Skills Module 14: Negotiation Techniques Module 15: Conflict Management Module 16: Stress Management Module 17: Time Management Module 18: Business Environment Module 19: Business Writing Skills (Learn more about this online course)

Step into the future of AI with our Prompt Engineering course! Master the art of prompt crafting for Dall-E, Stable Diffusion, ChatGPT, and more. Learn advanced techniques and best practices to optimize interactions with cutting-edge AI models.

In a world where the bond between humans and animals grows stronger by the day, understanding the intricate workings of our furry, feathered, and scaly companions becomes not just a skill, but a calling. Embark on a journey through the corridors of veterinary knowledge, where each module unveils a new layer of understanding in the captivating narrative of animal health and wellbeing. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access Dive into the annals of history, where the story of veterinary medicine unfolds like a gripping saga, tracing its evolution from ancient times to the cutting-edge practices of today. Explore the very building blocks of life itself, from the microscopic wonders of cells to the majestic complexity of tissues and organs. Delve into the mysteries of disease occurrence, unravel the enigma of the cardiovascular and respiratory systems, and traverse the intricate pathways of digestion and metabolism. As you navigate through the labyrinth of knowledge, you'll unlock the secrets of the nervous system, senses, and endocrine system, peering into the very essence of what makes our animal friends tick. Discover the vital role of nutrients in sustaining life, and witness the wondrous dance of metabolism as it fuels the engines of existence. With each module, you'll not only gain insight but also a profound appreciation for the marvels of the animal kingdom and the crucial role of the veterinary assistant in safeguarding their health and happiness. Course Curriculum Module 01: The Development of Veterinary Medicine Part - 01 Module 02: The Development of Veterinary Medicine Part - 02 Module 03: Naming And Classifying Animals Module 04: The Cell Module 05: Tissues Module 06: Connective Tissue Module 07: Muscle Tissue and Nervous Tissue Module 08: Tissue Healing And Repair Module 09: The Skin Module 10: Bone Module 11: The Skeleton Module 12: Describing Disease Occurrence Module 13: Cardiovascular System Module 14: Respiratory System and Lymphatic System Module 15: The Gut and Digestion Module 16: Urinary System and Reproductive System Module 17: Nervous System, Senses and Endocrine System Part - 01 Module 17: Nervous System, Senses and Endocrine System Part - 02 Module 18: Nervous System, Senses and Endocrine System Part - 03 Module 19: Nutrients Part - 01 Module 20: Nutrients Part - 02 Module 21: Metabolism Part - 01 Module 22: Metabolism Part - 02 Learning Outcomes: Analyze historical trends in veterinary medicine for evolutionary insights. Classify animals based on their characteristics and naming conventions. Identify and describe the structure and function of animal tissues. Explain tissue healing processes and factors affecting tissue repair. Describe the anatomy and physiology of major body systems. Understand the role of nutrients and metabolism in animal health. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring veterinary assistants seeking comprehensive foundational knowledge. Individuals interested in pursuing a career in animal healthcare. Students passionate about understanding animal anatomy and physiology. Veterinary professionals aiming to enhance their knowledge and skills. Animal lovers eager to contribute to veterinary practices. Career path Veterinary Assistant Animal Care Technician Veterinary Receptionist Animal Welfare Officer Laboratory Animal Technician Animal Shelter Worker Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Overview Help clients and customers reach their optimum weight safely and become an expert in nutrition and healthy diets. The course is designed to give you an acute understanding of responsible weight management techniques, and the healthy dietary procedures that should be adopted to accommodate them. You will be taught how to recognise the unique requirements of each individual and motivate them to follow tailored diets and lifestyle changes. The contents provide everything you need to start an exciting career as a Nutritionist. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Advanced Diploma in Nutrition and Ketogenic Diet. It is available to all students, of all academic backgrounds. Requirements Our Advanced Diploma in Nutrition and Ketogenic Diet is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 15 lectures • 04:07:00 total length •Module 01: Introduction to Nutrition: 00:14:00 •Module 02: Nutrients for Life - Macronutrients: 00:17:00 •Module 03: Nutrients for Life - Micronutrients: 00:18:00 •Module 04: Diet and Nutrition Related Diseases: 00:18:00 •Module 05: Eating Disorders: 00:20:00 •Module 06: Healthy Dieting: 00:17:00 •Module 07: Diet and Nutrition Related Diseases: 00:18:00 •Module 08: Use of Nutrition in Different Illnesses/Diseases: 00:20:00 •Module 09: Nutrition Requirements from Pregnancy to Teenage: 00:16:00 •Module 10: Nutrition Requirements for Adults and Various Groups: 00:17:00 •Module 11: Weight Control Management: 00:13:00 •Module 12: Weight Loss Management: 00:16:00 •Module 13: Basics of Ketogenic Diet: 00:24:00 •Module 14: The Role of Nutritionist: 00:19:00 •Assignment - Advanced Diploma in Nutrition and Ketogenic Diet: 00:00:00

Working in a lab isn’t just about pipettes and petri dishes—it’s about knowing how to avoid costly mistakes before they ever happen. Whether you’re around chemicals, glassware or high-voltage equipment, safety isn’t optional—it’s the baseline. This course introduces the vital principles of laboratory safety, making it ideal for those working in education, research, or industrial environments. With engaging content and clearly structured lessons, you’ll walk away knowing exactly how to maintain a hazard-aware mindset every time you step into the lab. We’ll guide you through key topics including risk identification, emergency planning, safe chemical handling, and essential personal protection protocols. Everything is delivered online in a format that suits your schedule, with no need to juggle shift changes or lab bookings. It’s straightforward, relevant, and built to help you think smarter and stay safer in any lab setting. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Laboratory Safety Module 02: Risk Assessment and Hazard Identification Module 03: Personal Protective Equipment (PPE) Module 04: Chemical Safety in Laboratory Module 05: Fire Safety Module 06: Electrical Safety Module 07: Equipment and Instrument Safety Module 08: Safety Culture and Continuous Improvement Learning Outcomes: Evaluate and mitigate risks in laboratory environments. Identify and address potential hazards proactively. Demonstrate proper usage of personal protective equipment. Implement chemical safety protocols effectively. Respond adeptly to fire emergencies in a laboratory. Apply electrical safety measures and handle equipment with confidence. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Laboratory Technicians Research Assistants Science Graduates Industrial Chemists Quality Control Officers Environmental Analysts Health and Safety Officers Graduates in Chemical Engineering Career path Laboratory Technician Safety Officer Quality Control Analyst Environmental Health Officer Chemical Analyst Research Assistant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.