Uncover the secrets of our planet's rich tapestry with a journey through the fascinating realms of Biogeography. Explore the intricate dance between Earth's climate, diverse biomes, and the dynamic evolution of life. From the intricate web of biodiversity to the intriguing geographical distribution of organisms, delve into the mysteries that shape our world. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Jump on a captivating exploration of soil and ecosystems, unraveling the vital threads that sustain life. Analyze the profound impact of human activities on ecosystems and decipher the intricate dance between humanity and the environment. Peer into the future, charting the course for Biogeography's exciting new directions. Enrich your understanding of the world, unlocking knowledge that transcends boundaries and paints a holistic picture of the delicate balance we inhabit. Course Curriculum Module 01:Biogeography Fundamentals Module 02:Earth's Climatic Patterns and Ecological Regions Module 03:Evolution and Biodiversity Dynamics Module 04:Geographic Dispersion of Organisms Module 05:Soil Ecology and Ecosystems Module 06:Anthropogenic Influences on Ecosystems Module 07:Interactions Between Humans and the Environment Module 08:Prospects for the Future in Biogeography Learning Outcomes: Understand Earth's climatic variations and their influence on biomes. Explore the intricate link between biodiversity and the process of evolution. Analyze the geographical distribution patterns of organisms across the globe. Examine the critical role of soil in sustaining diverse ecosystems. Evaluate the profound impact of human activities on fragile ecosystems. Anticipate future trends and challenges in the evolving field of Biogeography. CPD 10 CPD hours / points Accredited by CPD Quality Standards Biogeography Fundamentals 2:39:02 1: Module 01: Biogeography Fundamentals 17:48 2: Module 02: Earth's Climatic Patterns and Ecological Regions 18:58 3: Module 03: Evolution and Biodiversity Dynamics 19:21 4: Module 04: Geographic Dispersion of Organisms 20:05 5: Module 05: Soil Ecology and Ecosystems 20:32 6: Module 06: Anthropogenic Influences on Ecosystems 22:38 7: Module 07: Interactions Between Humans and the Environment 19:09 8: Module 08: Prospects for the Future in Biogeography 18:31 9: CPD Certificate - Free 01:00 10: Leave A Review 01:00 Who is this course for? Environmental enthusiasts seeking a deeper understanding of Earth's ecosystems. Biologists keen on unraveling the secrets of biodiversity and evolution. Geography enthusiasts intrigued by the geographical distribution of organisms. Ecological stewards passionate about the impact of human activities on ecosystems. Future scientists and researchers eager to explore the future directions of Biogeography. Career path Conservation Scientist Ecologist Environmental Analyst Biodiversity Researcher Geographical Information Systems (GIS) Specialist Environmental Consultant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00
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Get a Free QLS Endorsed Certificate upon completion of Pharmacy Get a free student ID card with Pharmacy Training The Pharmacy is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the Pharmacy course materials The Pharmacy comes with 24/7 tutor support Main Course: Advanced Diploma in Pharmacy Professional Training at QLS Level 6 Module 01 : Introduction to Pharmacy Module 02 : History and Development of Pharmacy Module 03 : The Pharmacy Team Module 04 : Training of the Pharmacy Team Module 05 : Coaching and Evaluation of the Pharmacy Team Module 06 : Standards for Pharmacy Professionals Module 07 : Guidance to Support the Standards for Pharmacy Professionals Module 08 : The Rights and Responsibilities of Pharmacy Professionals Module 09 : Pharmacy Practice Module 10 : Clinical Pharmacy Skills Module 11 : Offering Enhanced Services Module 12 : Prescribing Module 13 : Supplying Medication Module 14 : Responding to Symptoms Module 15 : Health and Safety in the Pharmaceutical Industry Course 01: Infection Control Module 01: Introduction to Infection Module 02: Body's Defence Mechanism Module 03: Microorganisms and Microbiology Module 04: Bloodborne Pathogens Module 05: Controlling Infection Module 06: Decontamination and Disinfection Module 07: Sterilisation Techniques Module 08: Hygiene to Prevent Infection Course 02: Sterile Services Technician Diploma Introduction Universal Precautions The Laminar Air Flow Hood (LAF) 3 Lectures Sterile Compounding Pharmaceuticals Demonstrations Compounding Pharmacy Math BONUS REVIEW OF THE STERILE COMPOUNDING PROCESS =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? 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