325 Forest courses in Cardiff delivered Online

Overview With the ever-increasing demand for Land Management Diploma in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Land Management Diploma may be. Learning about Land Management Diploma or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Land Management Diploma . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Land Management Diploma is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Land Management Diploma course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Land Management Diploma course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Land Management Diploma course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Land Management Diploma , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Land Management Diploma , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Land Management Diploma , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Land Management Diploma course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1 Introduction to Land Management. Introduction to Land Management. 00:00 Module 2 Laws and Regulations. Laws and Regulations. 00:00 Module 3 Soil and Water Conservation. Soil and Water Conservation. 00:00 Module 4 Forest Management. Forest Management. 00:00 Module 5 Wildlife Management. Wildlife Management. 00:00 Module 6 Rangeland Management. Rangeland Management. 00:00

Need a PATH? A person-centred plan?  This is a planning process not a training day. Let us facilitate your planning and refocus your story whilst strengthening you and your group, team, family, staff or organisation.  This tool uses both process and graphic facilitation to help any group develop a shared vision and then to make a start on working out what they will need to do together to move towards that vision.  Is your team or family stuck? Want to move on, but haunted by the past and cannot get any useful dialogue started about the future? Facing a challenging transition into a new school or setting? Leaving school? Bored with annual reviews, transition plans and review meetings? Want to find a way of making meetings and planning feel more real and engaging? Need an approach, which engages a young person respectfully together with his or her family and friends? Want the ultimate visual record of the process of a meeting, which will help everyone, keep track? Want to problem solve and plan for the future of a small or large group, service or organisation up to the size of an LA Give your team the opportunity to pause and reflect on what matters most to them about the work they do. The act of listening to each other creates relationship and strengthens trust and inclusion within the team – in creating a shared vision, groups of people build a sense of commitment together. They develop images of the future we want to create together, along with the values that will be important in getting there and the goals they want to see achieved along the way. Unfortunately, many people still think vision is the top leader’s job. In schools, the vision task usually falls to the Headteacher and/or the governors or it comes in a glossy document from the local authority or the DfES. But visions based on authority are not sustainable.  Using the planning tool PATH (Pearpoint, Forest and OBrien 1997) and other facilitation sources we use both process and graphic facilitation to enable the group to build their picture of what they would love to see happening within their organisation/community in the future and we encourage this to be a positive naming, not just a list of the things they want to avoid.  Outcomes  To create a shared vision To name shared goals To enrol others To strengthen the group To explore connections and needs To specify an Action Plan To create a visual graphic record of the whole event Process Content  PATH is a creative planning tool that utilises graphic facilitation to collect information and develop positive future plans.  PATH goes directly to the future and implements backwards planning to create a step by step path to a desirable future. (Inclusion Press, 2000). These tools were developed by Jack Pearpoint, Marsha Forest and John O’Brien to help marginalised people be included in society and to enable people to develop a shared vision for the future.  PATH can be used with individuals and their circle of support, families teams and organisations.  Both MAP and PATH are facilitated by two trained facilitators – one process facilitator who guides people through the stages and ensures that the person is at the centre and one graphic facilitator who develops a graphic record of the conversations taking place in the room.  Follow the link below to read a detailed thesis by Dr Margo Bristow on the use of PATH by educational Psychologists in the UK.  AN EXPLORATION OF THE USE OF PATH (A PERSON-CENTRED PLANNING TOOL) BY EDUCATIONAL PSYCHOLOGISTS WITH VULNERABLE AND CHALLENGING PUPILS  The findings indicate that PATH impacted positively and pupils attributed increased confidence and motivation to achieve their goals to their PATH. Parents and young people felt they had contributed to the process as equal partners, feeling their voices were heard. Improved pupil- parent relationships and parent-school relationships were reported and the importance of having skilled facilitators was highlighted. Although participants were generally positive about the process, many felt daunted beforehand, possibly due to a lack of preparation. Pre-PATHplanning and post-PATH review were highlighted as areas requiring further consideration by PATH organisers. Recommendations to shape and improve the delivery of PATH are outlined together with future research directions.

English Mastery Mission (Advanced Level)

To facilitate a group, family, team or organisation in thinking together around a given challenge or issue here is an opportunity to experience for real the person centred, futures planning tool – MAP (Pearpoint, Forest et. al. 1989). This is a process not a training day. Let us facilitate your planning and refocus your story whilst strengthening you and your group. This tool uses both process and graphic facilitation to help any group develop a shared vision and then to make a start on working out what they will need to do together to move towards that vision. MAPS are great for threshold moments. Is your team stuck? Want to move on, haunted by the past cannot get any useful dialogue about the future? Facing a challenging transition into a new school or setting? Leaving school? Bored with annual reviews, transition plans and review meetings? Want to find a way of making meetings and planning feel more real and engaging? Need an approach, which engages a young person respectfully together with his or her family and friends? Want the ultimate visual record of the process of a meeting, which will help everyone, keep track? Want to problem solve and plan for the future of a small or large group, service or organisation up to the size of an LEA Learning Objectives To create a shared vision To talk through the story so far and reflect upon it To name the worse nightmares that will block progress To strengthen the group by focussing on gifts and capacity To detail needs To specify an Action Plan To create a visual graphic record of the whole event Course Content The MAP process has 6 Steps: The story so far. The group is required to think back over the years to describe their collective experience of changes and events over time within their settings. Stories and events are recorded on the graphic. Building Shared Dreams. The group thinks together about what they would love to see happening for children, families and practitioners in their settings if they could have it all. If there were no constraints on time, money, resources, people or anything else what do they see happening in their imaginations? The various ideas that the group comes up with are then recorded in key words, images and colours on the MAP graphic. The purpose of this Step is to give the group a sense of direction, their North Star, an image of the place they want to work towards. Nightmare. In this Step, the group imagines the worst scenarios. What is the opposite of their dreams? How bad could it get? This is a shorter but powerful process that can give some groups more energy than dreaming together. Gifts and Capacity. In this Step the group is asked to take explicit stock of their capacities and what they already have going for them as they begin working towards the vision. This is a strong reminder for any group of the wealth of knowledge and experience that is already and always in the room. Needs. In this Step the group is invited to begin to name some of the needs they will have if they are to move forward to wards the dream and away from the nightmare. Actions. This is the final Step in the MAP and calls for individuals within the group to name a range of very specific actions (however small) that they will take within a definite time scale. This is not a time for declaring good intentions or suggesting good ideas for someone else to do. The purpose of this Step is to end the MAP process with a range of clearly understood actions that carry this planning process forward into the real world.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Description: The 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course will prepare you for the Exam 70-414: Implementing an Advanced Server Infrastructure. The course covers the advanced topics that IT professionals encounter in the enterprise environment. For passing the exam, you should have a thorough understanding of a fundamental server infra¬structure including monitoring, virtualisation, and high availability. There are four main objective areas on the 70-414 Exam which are discussed in the course thoroughly: Manage and maintain a server infrastructure Plan and implement a highly available enterprise infrastructure Plan and implement a server virtualisation infrastructure Design and implement identity and access solutions In the course, you will learn how to create the virtual infrastructure, plan and deploy virtual machines and implement solutions for the virtual administration. You will also learn about monitoring, high availability, updates, PKI, BCP and IDA. In short, the course will prepare you for the exam. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? 70-413 - Designing and Implementing a Server Infrastructure (MCSE) course is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our 70-413 - Designing and Implementing a Server Infrastructure (MCSE) training 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Server Infrastructure - Upgrade and Migration Upgrade and Migration FREE 00:34:00 Windows Assessment and Deployment Kit (ADK) 00:20:00 HyperV Virtual Licensing 00:12:00 Cloning Domain Controllers 00:24:00 Imaging Strategies 00:19:00 Choosing a Deployment Method 00:07:00 Installing Windows AIK 00:07:00 New Features in Windows DS 00:04:00 Storage and File Services Storage and File Services 00:09:00 iSCSIes 00:14:00 DFS 00:15:00 Deploying and Configrueing DFS 00:14:00 BranchCache 00:06:00 Implementing BrancheCache 00:05:00 Discretionary Access Control 00:19:00 Resource Properties 00:09:00 Network Infrastructure Services Network Infrastructure Services 00:25:00 DHCP Server Placement Infrastructure 00:25:00 IPAM Definition and Benefits 00:25:00 DNS Namespace Design 00:26:00 DNS Records Needed by AD 00:09:00 DNS Design Considerations 00:11:00 Performance Monitor and DNS 00:08:00 Zone Transfers and Replications 00:09:00 Configuring Zone Transfers 00:05:00 Creating DNS Zones 00:08:00 DNS and High-Availability 00:11:00 Planning for External User Access Planning for External User Access 00:18:00 Authentication Protocols and Methods 00:15:00 Network Access Policies 00:10:00 Creating a VPN 00:18:00 Perimeter Networks 00:07:00 DirectAccess 00:16:00 RADIUS Authentication and NPS 00:10:00 Network Security 00:26:00 Connection Security Rules 00:03:00 Design and Implement Logical AD Infrastructure Design and Implement Logical AD Infrastructure 00:18:00 Guidelines for Designing AD DS Forests 00:19:00 Creating a Forest Root 00:18:00 Viewing and Editing the Schema 00:10:00 Creating a Forest Trust Part 1 00:06:00 Creating a Forest Trust Part 2 00:06:00 AD DS Domains 00:18:00 Install Second Domain Controller to Domain 00:12:00 Trust Relationships 00:29:00 OU Strategies 00:21:00 Exploring AD Permissions within OU Structure 00:09:00 Protecting OUs using PowerShell 00:08:00 Active Directory Groups 00:24:00 Creating Groups with Active Directory Administration Center 00:11:00 Creating Groups with PowerShell 00:05:00 Special Identities 00:05:00 D GPO AD GPO 00:14:00 Group Policy Categories 00:18:00 Group Policy Preferences 00:11:00 PowerShell Cmdlets 00:06:00 Designing a Physical AD Infrastructure Designing a Physical AD Infrastructure 00:19:00 Replication Topologies Ring 00:09:00 Site Links 00:12:00 Domain Controllers Domain Controllers 00:12:00 Best Practices Analyzer 00:07:00 HighAvailability 00:15:00 Mock Exam Mock Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Final Exam Final Exam- 70-413 - Designing and Implementing a Server Infrastructure (MCSE) 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Level 4 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.