374 Forest courses

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

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

Would you like to immerse yourself in your personal yoga practice? To refresh and inspire your personal approach to yoga? If, like many of us, you feel the need to take time out, dive deep into your personal practice and replenish your energy levels, then join us for this year’s Scaravelli Inspired Yoga & Wellbeing Immersion. This year, we’re focusing on feeling good. Exploring how and why yoga helps to lift our mood and downregulate our nervous system. Each day, we’ll practice yoga, breathwork and meditation. We’ll walk across the downs and down to the beach for a swim, maybe light a bonfire as the sun sets.

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

Theatre in Schools Scotland brings bold, inspiring, live theatre and dance productions into Scotland's primary schools and nurseries.  The year-round programme of touring performances offers schools and teachers the opportunity to present acclaimed shows, created especially for younger audiences, for pupils at school. Performances take place in the school hall or in classrooms and are available to book anywhere in Scotland. This year, Theatre in Schools Scotland is thrilled to welcome One of Two and Ginger to the programme plus Poggle and Me made especially for ASN pupils. The new Theatre in Schools Scotland 2024 - 25 programme of performances for nursery, primary and ASN schools is now on sale and available to book. Please get in touch with Julian Almeida to book! tiss@imaginate.org.uk The standard cost is £500 + VAT per day, for 2x performances (for around 100 children each). Cost for Poggle and Me is £550 + VAT per day, for 2x performances (for around 8 children each). Get in touch for more details. BOOKING NOW GINGER: (Tortoise in a Nutshell) uses puppetry, magic and play to tell the tale of a misshapen gingerbread person, discarded and marked for the bin, inspiring a picture-perfect kitchen to come alive. Touring Autumn 2024 and Winter 2025. For P1-P4 ONE OF TWO: Jack Hunter/Independent Arts Projects) is a one-man comedy drama about two twins growing up with cerebral palsy. Each twin had a very different experience navigating childhood and school. This award-winning autobiographical show celebrates disability and diversity. Touring Autumn 2024. For P7 & S1-S2 POGGLE AND ME: (Barrowland Ballet) was created with and for pupils with complex needs such as autism and invites audiences to join Poggle, a friendly creature, on a sensory and interactive adventure through the forest. Touring Spring 2025. ASN schools (for pupils with complex needs such as autism, 7+). We can work with you to plan your visit, help you to choose a show, and answer any questions. If you are interested in making a booking for your school or would like more information about how we can work together please contact tiss@imaginate.org.ukTheatre in Schools Scotland is managed by Imaginate and National Theatre of Scotland.  

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.

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. Using the PATH or MAP processes of group facilitation and the creating of a large wall sized graphic we will provide a School Improvement Plan to be proud of!  Course Category Visioning and Problem Solving Person Centred Planning Strategic Work Team Building and Leadership Description There is an old Japanese proverb, “Vision without action is a daydream. Action without vision is a nightmare” “There is no power for change greater than a community discovering what it cares about” MARGARET WHEATLEY – ‘TURNING TO ONE ANOTHER’ (2002) 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. Drawing on the planning tools MAPS and PATH (Pearpoint, Forest and O’Brien 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. ??Let us join you to explore your vision and the ‘roadblocks’ to your vision. Testimonials “Thank you so much for the work you did with us yesterday – I have since been in 2 schools today and have spoken to an number of other colleagues who were present – all were totally overwhelmed by the session – they loved it.” “I was totally blown away, so nice to reflect and realise what a long way we have come” “That was so powerful and motivational” “Our Primary is now an OFSTED rated ‘Outstanding School’ – we were in Special Measures – the Visioning and Planning using the PATH process for 3 years has seriously contributed to this”. Learning Objectives To create a far reaching and shared vision of the future for the school team/group you are working with and ensure that each person present contributes to this To create a visual representation (a graphic) of the vision and use this to plan future actions and to inform school improvement and development plans To facilitate the group in thinking through what some of the barriers to achieving their vision are and to begin work on how these can be removed To build a sense of commitment, common purpose and trust within the team/group Who Is It For ? Headteachers School managers EIP Managers Whole staff – including everyone Course Content The facilitation of a shared vision can be delivered as a full or a half day but, unlike our other training days this day depends on your and your team’s needs and the time you have available The course will cover: Creating the vision The Story So Far Headline Themes Naming the Nightmare A Year from Now Naming Roadblocks and Barriers Building strength Who will we need to take with us on the journey towards the vision Who are we? – Gifts, Strengths and Talents Charting Specific Actions

Gloucester Support Group Launch