327 Forest courses in Cardiff delivered Online

This course aims to teach you how to use Python for machine learning and data science.

Take on a transformative journey in arboriculture, where you'll delve into the intricate world of trees and their management. This course isn't just about learning the basics; it's about mastering techniques crucial for sustainable arboriculture practices. As urban spaces expand, the demand for skilled arborists grows exponentially. Understanding tree biology, pruning techniques, and disease management is essential for maintaining green spaces. By mastering arboriculture, you'll be equipped to tackle challenges like tree selection, planting, and maintaining soil health for optimal growth. Not only does this knowledge enhance your daily life by fostering a deeper connection with nature, but it also opens doors to lucrative career opportunities, particularly in the UK where the demand for certified arborists is high. With a median salary ranging from £20,000 to £35,000 per annum, the financial rewards are substantial. The sector is rapidly expanding, with a projected increase of 8% in job opportunities over the next decade. So, seize the opportunity to carve a flourishing career path in arboriculture, where your skills will be in high demand, shaping a greener and more sustainable future for generations to come. Key Features: CPD Certified Foundations of Arboriculture Course Free Certificate from Reed CIQ Approved Foundations of Arboriculture Course Developed by Specialist Lifetime Access Course Curriculum Module 01: Introduction to Arboriculture Module 02: Tree Planting Techniques Module 03: Tree Selection for Arboricult Module 04: Tree Biology Module 05: Soil and Tree Growth Module 06: Pruning Trees Module 07: Tree Diseases and Management Module 08: Arboriculture Equipments and Operations Module 09: Workplace Health and Safety Learning Outcomes: Understand tree biology, fostering optimal growth and development. Implement effective tree planting techniques for thriving arboreal ecosystems. Identify and manage tree diseases, safeguarding arboreal health and vitality. Navigate soil dynamics to promote robust tree growth and sustainability. Execute precise pruning methods to enhance tree aesthetics and health. Operate arboriculture equipment proficiently, ensuring efficient tree care practices. CPD 10 CPD hours / points Accredited by CPD Quality Standards Foundations of Arboriculture: Techniques, Safety, and Management 2:41:36 1: Module 01: Introduction to Arboriculture Preview 14:01 2: Module 02: Tree Planting Techniques 09:34 3: Module 03: Tree Selection for Arboricult 16:22 4: Module 04: Tree Biology 20:04 5: Module 05: Soil and Tree Growth 21:04 6: Module 06: Pruning Trees 17:50 7: Module 07: Tree Diseases and Management 22:15 8: Module 08: Arboriculture Equipments and Operations 18:31 9: Module 09: Workplace Health and Safety 20:55 10: CPD Certificate - Free 01:00 Who is this course for? This Foundations of Arboriculture course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Foundations of Arboriculture. Moreover, this course is ideal for: Aspiring arborists seeking comprehensive knowledge in tree care techniques. Landscapers aiming to expand their expertise into tree management. Environmental enthusiasts passionate about preserving arboreal ecosystems. Gardeners looking to elevate their understanding of tree biology and care. Horticulture professionals keen on mastering advanced tree care practices. Requirements There are no requirements needed to enrol into this Foundations of Arboriculture course. We welcome individuals from all backgrounds and levels of experience to enrol into this Foundations of Arboriculture course. Career path After finishing this Foundations of Arboriculture course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Foundations of Arboriculture are: 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 journey of creativity and sustainability with our Garden Design & Planning course. Learn the art of garden aesthetics, practical planting techniques, and maintenance strategies to transform any space into a thriving, beautiful garden. Ideal for aspiring garden designers and enthusiasts.

Dive into the enriching world of Gardening and Horticulture. From landscaping design to hydroponics, plant nutrition, and pest management, this course offers comprehensive knowledge and practical skills. Unearth opportunities for a career in this green and growing field.

Dive into the enriching world of Gardening and Horticulture. From landscaping design to hydroponics, plant nutrition, and pest management, this course offers comprehensive knowledge and practical skills. Unearth opportunities for a career in this green and growing field.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

The RQF Level 3 Outdoor First Aid Course is designed for individuals engaging in outdoor activities, offering advanced training in managing emergencies specific to outdoor environments. Here's a concise overview: Specialised Training: Tailored for outdoor enthusiasts, professionals, and leaders involved in remote outdoor activities or expeditions. Comprehensive Skills: Covers assessing and managing injuries, trauma care, medical emergencies, and evacuation procedures relevant to outdoor settings. Scenario-Based Learning: Simulated outdoor emergencies, providing practical application of skills in realistic scenarios encountered during outdoor pursuits. Remote Environment Preparedness: Emphasis on handling emergencies where immediate medical assistance might be limited, focusing on adaptability and resource utilisation. Hands-on Training: Practical sessions demonstrating wilderness-specific first aid techniques, including the use of specialised equipment. Communication and Decision-making: Training in effective communication and teamwork during outdoor emergencies, fostering quick and coordinated responses. This course equips outdoor enthusiasts, guides, and professionals with advanced first aid skills, preparing them to manage a wide array of outdoor emergencies in remote or challenging environments. Suitability - Who should attend? The RQF Level 3 Outdoor First Aid Course is suitable for: Outdoor Enthusiasts: Hikers, climbers, campers, and adventurers seeking skills to manage emergencies during outdoor pursuits. Professional Guides: Outdoor leaders, expedition leaders, and instructors responsible for group safety during outdoor activities. Workers in Remote Environments: Forestry workers, park rangers, and those working in remote or wilderness settings where immediate medical help might be limited. Sports Coaches: Coaches involved in outdoor sports or activities requiring knowledge of first aid in outdoor environments. Volunteers and Community Members: Individuals participating in community-based outdoor programs or volunteering in remote areas. Professionals with Outdoor Responsibilities: Individuals whose roles involve outdoor responsibilities and the need for advanced first aid skills in such settings. It's ideal for anyone seeking to enhance their ability to respond to outdoor emergencies where access to immediate medical assistance is limited. Outcome / Qualification etc. The outcomes of completing the RQF Level 3 Outdoor First Aid Course include: Advanced First Aid Skills: Proficiency in managing a broad range of outdoor-specific injuries and medical emergencies encountered in remote settings. Confidence and Preparedness: Enhanced confidence to assess, manage, and provide first aid in challenging outdoor environments. Scenario Adaptability: Ability to adapt first aid skills to diverse outdoor scenarios and make informed decisions in remote or adverse conditions. Effective Communication: Improved communication and teamwork skills essential for coordinating responses to outdoor emergencies. Emergency Preparedness: Understanding evacuation procedures, resource improvisation, and utilising outdoor-specific first aid equipment. Certification: Attainment of an accredited qualification demonstrating competence in outdoor first aid management. Completing this course ensures participants are well-equipped to respond competently and effectively to a wide array of outdoor emergencies. Training Course Content UNIT 1 OUTDOOR EMERGENCY ACTION Module 1 Introduction Module 2 What is outdoor first aid? Module 3 First aid equipment Module 4 Summon assistance Module 5 Monitoring Module 6 Scene survey Module 7 Primary survey Module 8 Secondary assessment Module 9 Resuscitation and AED Module 10 Disorders of respiration Module 11 Wounds and bleeding Module 12 Hypovolaemic shock UNIT 2 OUTDOOR INCIDENT MANAGEMENT DAY 2 Module 1 Incident management Module 2 Bones, joints and muscle injuries Module 3 Head and spinal injuries Module 4 Chest and abdominal injuries Module 5 Major illnesses Module 6 Anaphylaxis Module 7 Extreme heat and cold Module 8 Burns Module 9 Eye injuries Module 10 Poisoning Module 11 Bites and stings Module 12 Written assessment and course closure Course delivery details The delivery of the RQF Level 3 Outdoor First Aid Course typically involves a combination of: Classroom Sessions: In-person training covering theoretical aspects of outdoor first aid, including lectures, discussions, and presentations. Practical Workshops: Hands-on sessions allowing participants to practice first aid skills specific to outdoor scenarios, utilising equipment and simulations. Outdoor Simulations: Realistic scenario-based training in outdoor environments, replicating emergencies encountered during outdoor activities. Interactive Learning: Engaging activities, group exercises, and case studies to reinforce learning and encourage interactive participation. Qualified Instructors: Training facilitated by experienced and certified outdoor first aid instructors knowledgeable about outdoor emergency management. Assessment and Certification: Evaluation of skills and understanding through practical assessments, quizzes, or examinations leading to certification upon successful completion. This mixed approach ensures a comprehensive understanding and practical application of first aid skills tailored for outdoor settings. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price Continuing Studies After completing the RQF Level 3 Outdoor First Aid Course, individuals may pursue further studies or complementary training, including: Advanced Outdoor First Aid Courses: Specialised courses focusing on specific aspects like wilderness trauma, advanced rescue techniques, or extended wilderness medical training. Wilderness Medicine Certification: Advanced programs offering in-depth knowledge in wilderness medicine, ideal for those aiming for higher expertise in outdoor medical care. Leadership and Outdoor Education Courses: Studies in leadership, outdoor education, or adventure sports coaching, complementing first aid skills for leadership roles in outdoor settings. Specialised Rescuer Certifications: Training in technical rescue skills, rope rescue, water rescue, or other specialized rescue techniques relevant to specific outdoor activities. Medical Certification Programs: Pursuing medical certifications or courses in emergency medicine, paramedicine, or healthcare, enhancing medical expertise for outdoor settings. Continued education allows individuals to deepen their understanding, broaden their skill set, and specialise further in managing emergencies in diverse outdoor environments