1302 Scientist courses delivered Online

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

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

FREE QLS Level 7 Hard Copy Certificate | 180 CPD Points | Lifetime Access | Installment Payment | Tutor Support

Unlock the mysteries of crime-solving with our Forensic Science course, a field thriving in the UK with a remarkable 20% increase in forensic-related employment over the past five years. This course offers an immersive journey into the world of forensic science, blending theoretical knowledge with real-world applications. Our curriculum is meticulously designed to equip learners with the skills necessary to analyse and interpret scientific evidence, a vital component in modern law enforcement. Engage in a stimulating educational experience that bridges the gap between scientific theory and crime scene investigation, preparing you for a dynamic career in a rapidly evolving sector. Learning Outcomes: Develop the ability to identify and analyse forensic evidence. Gain insights into the latest forensic technology and methods. Understand the role of forensics in criminal investigations. Learn techniques for effective crime scene management. Acquire skills in forensic data interpretation and reporting. Understand ethical considerations in forensic science. Enhance problem-solving skills within forensic contexts. Build knowledge in various branches of forensic science. Who Is This Course For? Aspiring forensic scientists seeking foundational knowledge. Law enforcement personnel aiming to deepen forensic understanding. Legal professionals interested in scientific aspects of crime. Science graduates exploring career opportunities in forensics. Individuals passionate about solving crimes scientifically. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path: Forensic Scientist: £25,000 - £35,000 Crime Scene Investigator: £20,000 - £28,000 Forensic Analyst: £23,000 - £30,000 Forensic Toxicologist: £24,000 - £40,000 Forensic Pathologist: £30,000 - £50,000 Forensic Psychologist: £27,000 - £45,000 Course Features Lectures 10 Quizzes 0 Duration Lifetime access Skill level All levels Language English Students 47 Assessments Yes Forensic Science Level 3 Diploma Lecture1.1 Module 1: Introduction to Forensic Science Lecture1.2 Module 2: Forensic Biology Lecture1.3 Module 3: Forensic Chemistry Lecture1.4 Module 4: Forensic Physics Lecture1.5 Module 5: Digital and Multimedia Forensics Lecture1.6 Module 6: Forensic Pathology and Anthropology Lecture1.7 Module 7: Forensic Psychology and Psychiatry Lecture1.8 Module 8: Crime Scene Management and Reconstruction Lecture1.9 Module 9: Legal Aspects of Forensic Science Lecture1.10 Module 10: Emerging Techniques in Forensic Science

Get ready for an exceptional online learning experience with the Coding (C++, Python, JavaScript, Networking & IT) bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Coding, C++ & Python package is dynamic, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Coding, C++ & Python package has something for everyone. As part of the Coding, C++ & Python, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Coding (C++, Python, JavaScript, Networking & IT) bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following Coding (C++, Python, JavaScript, Networking & IT) CPD-accredited courses: Course 01: Introduction to Coding With HTML, CSS, & Javascript Course 02: C++ Development: The Complete Coding Guide Course 03: C# Programming - Beginner to Advanced Course 04: Python Programming: Beginner To Expert Course 05: The Complete MySQL Server from Scratch: Bootcamp Course 06: Kotlin Programming: Android Coding Bible Course 07: Learn Web Development from Scratch Course 08: The Complete Front-End Web Development Course! Course 09: Secure Programming of Web Applications Course 10: JavaScript Project - Game Development with JS Course 11: Bash Scripting, Linux and Shell Programming Course 12: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 13: Data Analysis Course 14: R Programming for Data Science Course 15: Learn Ethical Hacking From A-Z: Beginner To Expert Course 16: Cyber Security Awareness Training Course 17: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 18: CompTIA A+ (220-1001) Course 19: Computer Networks Security from Scratch to Advanced Course 20: Microsoft Excel Complete Course What will make you stand out? Upon completion of this online Coding (C++, Python, JavaScript, Networking & IT) bundle, you will gain the following: CPD QS Accredited Proficiency with this Coding, C++ & Python bundle After successfully completing the Coding, C++ & Python bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities. Lifetime access to the whole collection of learning materials in this Coding, C++ & Python bundle The online test with immediate results You can study and complete the Coding, C++ & Python bundle at your own pace. Study for the Coding, C++ & Python bundle using any internet-connected device, such as a computer, tablet, or mobile device. Each course in this Coding (C++, Python, JavaScript, Networking & IT) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Coding, C++ & Python bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Coding (C++, Python, JavaScript, Networking & IT), a rich anthology of 30 diverse courses. Our experts handpick each course in the Coding, C++ & Python bundle to ensure a wide spectrum of learning opportunities. This Coding, C++ & Python bundle will take you on a unique and enriching educational journey. The Coding (C++, Python, JavaScript, Networking & IT) bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Coding, C++ & Python bundle offers you the flexibility and convenience to learn at your own pace. Make the Coding, C++ & Python package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Coding (C++, Python, JavaScript, Networking & IT) bundle is perfect for: Aspiring Programmers: Individuals interested in learning to program and develop software using popular languages like C++, Python, and JavaScript. IT Professionals: Those working in IT who wish to enhance their programming and networking skills to improve job performance and career prospects. Students in Technology: University or college students pursuing degrees in computer science, information technology, or related fields looking to supplement their studies with practical skills. Career Changers: Professionals aiming to transition into the tech industry and seeking foundational knowledge in programming and network management. Hobbyists and Tech Enthusiasts: Individuals passionate about technology and keen on developing their own projects or improving their understanding of how different aspects of the internet and software work. Requirements You are warmly invited to register for this Coding (C++, Python, JavaScript, Networking & IT) bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon Coding (C++, Python, JavaScript, Networking & IT) course completion, you can expect to: Software Developer Web Developer Systems Programmer Network Administrator Database Administrator Cybersecurity Analyst Data Scientist AI and Machine Learning Engineer Freelance Programmer Tech Entrepreneur Certificates CPD Certificates Digital certificate - Included

Are you looking to enhance your Sports Nutritionist skills? If yes, then you have come to the right place. Our comprehensive course on Sports Nutritionist will assist you in producing the best possible outcome by mastering the Sports Nutritionist skills. The Sports Nutritionist course is for those who want to be successful. In the Sports Nutritionist course, you will learn the essential knowledge needed to become well versed in Sports Nutritionist. Our Sports Nutritionist course starts with the basics of Sports Nutritionist and gradually progresses towards advanced topics. Therefore, each lesson of this Sports Nutritionist course is intuitive and easy to understand. Why would you choose the Sports Nutritionist course from Compliance Central: Lifetime access to Sports Nutritionist course materials Full tutor support is available from Monday to Friday with the Sports Nutritionist course Learn Sports Nutritionist skills at your own pace from the comfort of your home Gain a complete understanding of Sports Nutritionist course Accessible, informative Sports Nutritionist learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Sports Nutritionist Study Sports Nutritionist in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Sports Nutritionist Course Sports Nutritionist Curriculum Breakdown of the Sports Nutritionist Course Module 01: Introduction to Nutrition Module 02: The Role of Nutritionist Module 03: The Day of Competition Module 04: Replacing Nutrients After Competition Module 05: The Digestive System Module 06: Nutrients for Life - Macronutrients Module 07: Nutrients for Life - Micronutrients Module 08: Nutrition Requirements for Adults and Various Groups Module 09: Healthy Dieting Module 10: Weight Control Management Module 11: Weight Loss Management CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Sports Nutritionist course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Sports Nutritionist. It is also great for professionals who are already working in Sports Nutritionist and want to get promoted at work. Requirements To enrol in this Sports Nutritionist course, all you need is a basic understanding of the English Language and an internet connection. Career path The Sports Nutritionist course will enhance your knowledge and improve your confidence. Sports Nutritionist: £25,000 to £50,000 per year Dietician: £30,000 to £60,000 per year Personal Trainer: £20,000 to £40,000 per year Sports Scientist: £35,000 to £70,000 per year Sports Coach: £40,000 to £80,000 per year Health Coach: £25,000 to £50,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Unlock the secrets of public health with our comprehensive "Principles of Epidemiology" course. Whether you're a healthcare professional, a public health enthusiast, or simply curious about the patterns of disease and health in populations, this course offers invaluable insights into the world of epidemiology. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access The "Principles of Epidemiology" course provides a comprehensive understanding of how diseases spread and affect populations. Learners will explore the basic concepts of epidemiology and its critical role in public health. They will learn how to analyze disease patterns by studying variations over time, place, and among different groups of people. The course covers methods to measure how often diseases occur and the risks associated with them. Students will also gain skills in designing studies to investigate health issues and learn to respond to epidemics and outbreaks. By the end of the course, learners will be able to apply epidemiological principles to prevent and control diseases, ultimately improving public health outcomes. Course Curriculum Module 01: Understanding Epidemiology Module 02: Principles of Epidemiology Module 03: Role of Epidemiology in Public Health Module 04: The Epidemiological Concept of Population Module 05: Variation in Disease by Time, Place, and Person Module 06: Disease Occurrence Module 07: Measures of Disease Frequency Module 08: Measures of Risk and Disease Prevention Module 09: Study Design Module 10: Epidemics and Outbreaks Learning Outcomes: Grasp fundamental concepts and principles of epidemiology. Understand epidemiology's pivotal role in public health. Analyse disease variations by time, place, and person. Measure disease frequency and risk accurately. Design effective epidemiological studies. Investigate and manage epidemics and outbreaks. CPD 10 CPD hours / points Accredited by CPD Quality Standards Priciples of Epidemiology 2:05:46 1: Module 01: Understanding Epidemiology 10:25 2: Module 02: Principles of Epidemiology 14:18 3: Module 03: Role of Epidemiology in Public Health 10:11 4: Module 04: The Epidemiological Concept of Population 13:28 5: Module 05: Variation in Disease by Time, Place, and Person 09:59 6: Module 06: Disease Occurrence 10:26 7: Module 07: Measures of Disease Frequency 12:15 8: Module 08: Measures of Risk and Disease Prevention 12:47 9: Module 09: Study Design 15:17 10: Module 10: Epidemics and Outbreaks 15:40 11: CPD Certificate - Free 01:00 Who is this course for? Public health enthusiasts seeking foundational knowledge. Healthcare professionals wanting to expand epidemiology understanding. Students pursuing a career in public health. Policy makers focusing on disease prevention. Researchers interested in population health dynamics. Career path Epidemiologist Public Health Analyst Disease Prevention Specialist Health Data Scientist Outbreak Investigator Public Health Consultant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the secrets of public health with our comprehensive "Principles of Epidemiology" course. Whether you're a healthcare professional, a public health enthusiast, or simply curious about the patterns of disease and health in populations, this course offers invaluable insights into the world of epidemiology. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access The "Principles of Epidemiology" course provides a comprehensive understanding of how diseases spread and affect populations. Learners will explore the basic concepts of epidemiology and its critical role in public health. They will learn how to analyze disease patterns by studying variations over time, place, and among different groups of people. The course covers methods to measure how often diseases occur and the risks associated with them. Students will also gain skills in designing studies to investigate health issues and learn to respond to epidemics and outbreaks. By the end of the course, learners will be able to apply epidemiological principles to prevent and control diseases, ultimately improving public health outcomes. Course Curriculum Module 01: Understanding Epidemiology Module 02: Principles of Epidemiology Module 03: Role of Epidemiology in Public Health Module 04: The Epidemiological Concept of Population Module 05: Variation in Disease by Time, Place, and Person Module 06: Disease Occurrence Module 07: Measures of Disease Frequency Module 08: Measures of Risk and Disease Prevention Module 09: Study Design Module 10: Epidemics and Outbreaks Learning Outcomes: Grasp fundamental concepts and principles of epidemiology. Understand epidemiology's pivotal role in public health. Analyse disease variations by time, place, and person. Measure disease frequency and risk accurately. Design effective epidemiological studies. Investigate and manage epidemics and outbreaks. CPD 10 CPD hours / points Accredited by CPD Quality Standards Priciples of Epidemiology 2:05:46 1: Module 01: Understanding Epidemiology 10:25 2: Module 02: Principles of Epidemiology 14:18 3: Module 03: Role of Epidemiology in Public Health 10:11 4: Module 04: The Epidemiological Concept of Population 13:28 5: Module 05: Variation in Disease by Time, Place, and Person 09:59 6: Module 06: Disease Occurrence 10:26 7: Module 07: Measures of Disease Frequency 12:15 8: Module 08: Measures of Risk and Disease Prevention 12:47 9: Module 09: Study Design 15:17 10: Module 10: Epidemics and Outbreaks 15:40 11: CPD Certificate - Free 01:00 Who is this course for? Public health enthusiasts seeking foundational knowledge. Healthcare professionals wanting to expand epidemiology understanding. Students pursuing a career in public health. Policy makers focusing on disease prevention. Researchers interested in population health dynamics. Career path Epidemiologist Public Health Analyst Disease Prevention Specialist Health Data Scientist Outbreak Investigator Public Health Consultant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you passionate about protecting our environment and enhancing public health? Do you want to make a tangible impact on the world? Join our comprehensive "Introduction to Environmental Health" course and gain the knowledge and skills you need to be a leader in environmental stewardship and health advocacy. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access The "Introduction to Environmental Health" course teaches learners about the impact of the environment on human health. Students will explore the connection between pollution, climate change, and health, understanding how different pollutants affect our bodies and the planet. They will learn about water quality and treatment processes in the UK, ensuring safe water for communities. The course also covers air quality issues and strategies for improving it. Environmental sustainability practices are discussed to promote healthier lifestyles and ecosystems. Students will study the role of plastics in pollution and the importance of reducing plastic waste. They will learn about efficient waste management and resource recovery techniques, and gain insights into the problems and solutions related to food waste. Overall, the course equips learners with knowledge to make informed decisions for a healthier environment. Course Curriculum Module 01: Introduction to Environmental Health Module 02: Environment, Pollution, Climate Change and Health Module 03: Waste, Pollution and Pollutants Module 04: Water and Treated Water in the UK Module 05: Air Module 06: Environmental Sustainability Module 07: Plastics Module 08: Recovering Resources and Managing Waste Module 09: Food Waste Learning Outcomes: Understand fundamentals of environmental health and its importance. Examine impacts of pollution and climate change on health. Identify various pollutants and their effects on the environment. Understand water treatment processes and water quality in the UK. Analyse air quality and its implications for health. Explore principles and practices of environmental sustainability. CPD 10 CPD hours / points Accredited by CPD Quality Standards Introduction to Environmental Health 1:46:26 1: Module 01: Introduction to Environmental Health 08:04 2: Module 02: Environment, Pollution, Climate Change and Health 13:28 3: Module 03: Waste, Pollution and Pollutants 10:25 4: Module 04: Water and Treated Water in the UK 14:58 5: Module 05: Air 16:16 6: Module 06: Environmental Sustainability 13:21 7: Module 07: Plastics 09:19 8: Module 08: Recovering Resources and Managing Waste 08:12 9: Module 09: Food Waste 11:23 10: CPD Certificate - Free 01:00 Who is this course for? Environmental science students Public health professionals Policy makers in health and environment Environmental activists Sustainability advocates Career path Environmental Health Officer Sustainability Consultant Waste Management Specialist Air Quality Analyst Water Quality Scientist Environmental Policy Advisor Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

If you're passionate about the natural world and want to deepen your knowledge of the delicate ecosystems that surround us, our Ecology and Organising the Natural World course is the perfect fit for you. Through a comprehensive and theoretical approach, this course will provide you with an in-depth understanding of the intricate relationships between organisms and their environment. From the basics of ecology to climate change, this course will equip you with the knowledge and skills to make a positive impact on the world around you. Learning outcomes: Gain a fundamental understanding of the principles of ecology Analyse the organisation of the natural world and the interdependence of living organisms Identify the various types of ecosystems and their unique characteristics Examine the impact of human activities on the environment Develop a deep understanding of climate change and its implications for the natural world Learn about environmentalism and conservation and how they are crucial to protecting our planet Our Ecology and Organising the Natural World course is designed to provide learners with a comprehensive theoretical understanding of ecology and the natural world. In Module 01, Introduction to Ecology, learners will gain an understanding of the principles of ecology and the scientific methods used to study the natural world. Module 02, Ordering the Natural World, examines the organisation of the natural world and the interdependence of living organisms. In Module 03, A Variety of Life, learners will explore the diversity of life and the different types of ecosystems that exist. Module 04, Ecosystem, delves deeper into the concept of ecosystems, their functions, and their characteristics. In Module 05, Natural Resources, learners will explore the importance of natural resources and the human impact on them. Module 06, Habituation, Migration and Competition, examines how organisms adapt to their environment and interact with each other. Module 07, Organism in a Changing Environment, focuses on the impact of human activities on the environment and how organisms are affected by changes in their environment. In Module 08, The Human Factor, learners will explore the ways in which humans interact with the natural world and how our activities impact the environment. Module 09, Climate Change, provides an in-depth understanding of this crucial issue and its implications for the natural world. Finally, in Module 10, Environmentalism and Conservation, learners will learn about the importance of conservation efforts and the role of environmentalism in protecting the natural world. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students interested in environmental science, ecology, or conservation Individuals looking to deepen their knowledge of the natural world Professionals in fields related to environmental science, ecology, or conservation Anyone interested in making a positive impact on the environment Individuals interested in pursuing further studies in environmental science or related fields Career path Environmental Consultant (£24,000 - £40,000) Conservation Scientist (£24,000 - £45,000) Ecologist (£22,000 - £35,000) Environmental Educator (£20,000 - £35,000) Sustainability Officer (£25,000 - £50,000)