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Building Confidence, Self Worth & Friendships Making Tracks is for children with additional needs and their families, allowing them access to an inclusive and sensory rich environment. Developing confidence and self esteem, motivation to learn and improving self worth. This group is based around the children and their needs. Our highly skilled staff work with children and their families, to encourage growth in a supportive and nurturing environment. Activities include outdoor play and learner led activities such as den building, campfire cooking and exploration. How To Access Our Alternative Schooling Sessions Making Tracks, our alternative schooling sessions, are open to all children of school age and currently takes place on a Tuesday during term time from  Group One 10am - 12pm Group Two 1pm - 3pm. Each session costs £5.00  Making Tracks can be paid for through your Educational Health Care Plan. Book Now To discuss your child’s needs, or to organise One to One session please contact us. Why Choose Nature for your child? Whatever the reason children come to the woods to access our programmes, we aim to incorporate the forest school ethos into all our activities and sessions, offering a learner-centred approach wherever possible. In line with forest school objectives, we strive to use their Badger Forest School experience to help children overcome their previous experiences and become positive and pro-active learners.  As an organisation with trauma-informed status, our Nurture Programme is specifically designed to support emotional wellbeing as we believe this best supports a child’s development and aids their return to a school setting on a full-time basis. Children are assisted to understand their emotions, their triggers and their behaviours, so that they can learn self-regulation and management techniques. They build trusted relationships with staff which enables therapeutic conversations to happen. The outdoors environment and associated skills building offers children the opportunity to succeed which helps develop confidence, self-esteem and identity. All-weather outdoor learning generates motivation and resilience, as well as helps relieve passivity, stress and anxiety.  In terms of academic learning, sessions deliver a wide range of activities designed to develop the child’s concentration, practical skills, fine and gross motor development, problem solving, language and communication skills, and expand their understanding of the natural world. Activities might include:  Shelter building Fire lighting and cooking on an open fire Tool use Studying wildlife Rope and string work Art and sculpture work Sensory activities Developing and discussing stories Creating and completing obstacle courses Activities frequently incorporate opportunities for working on literacy or numeracy skills, and additionally, we can work towards including some elements of the National Curriculum if this is a priority for the client, as many of our staff are teacher trained or have experience working in schools.

For New Mums And Their Children Improve Wellbeing We offer time to discover what you and your child enjoy. We explore mindfulness and grounding exercises for mums/carers and babies. Enjoy The Fresh Air A cosy campfire, campfire treats, play, crafts and walks in the woods are very much part of these sessions and make the most of being outdoors. Story telling and singing, seasonal crafts and getting hands on in the mud kitchen give your child lots of options for fun in the fresh air. Build Connections Building connections with your babies and other mums is a very natural progression as you have time to relax and enjoy each others company. Supporting All New Mamas Wednesdays 11am - 1pm (term time) Mamas in nature supports new Mums and their babies. This safe, supportive space can bring everybody positivity, connection and joy. The feed back from Mums is really positive with members feeling more relaxed, supported and calmer. Mama’s in Nature is partly funded by the National Lottery Community Fund and is only £3 per carer per session. Access to these sessions is for existing attendees or via social prescribing. If you are interested in sessions because you feel you or someone else may benefit from attending, please email info@badgerforestschool.co.uk to discuss. What you might need We are outside all year round so warm and waterproof clothes (for you and for baby) will help you enjoy the sessions. We have a range of outdoor clothing, slings etc which can be borrow for the sessions at no charge, so don’t worry if you don’t have all you need. If you have a sling or pushchair suitable for woodland walks and a change of clothes for baby, as they may get muddy and wet, bring them along. We also have use of an indoor space where needed. 

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Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

What do engineers and project managers need to know of finance? 'Nothing - leave it to the accountants!' No, no, no! Engineers must be conversant with the terminology and statements that accountants use. Technical expertise in projects, service delivery, production or other areas can only really be harnessed if the managers understand the accounting and reporting that drives businesses. This course gives the necessary understanding to project, production and technical managers. It develops their skills in understanding financial and management accounting. Accountants may not always like it but a major part of their work is to be the 'servants of business' and to gather, compile and present your figures. So you must understand the figures - they belong to you, your processes or projects. There are many reasons for maintaining accurate accounts. This course focuses on the strategic issues (those over-used words) - what figures reveal about the drivers of business and what they reveal about the day-to-day issues that accountants bother you with. The course will enhance your understanding of finance and of the accounting issues which affect your projects, production and technical areas of business. This course will help you: Understand the business world in figures - make sense of what the accountants are telling you Appreciate what drives business - and how this affects your role in your part of the business Relate your activities to the success of the business - through figures Gain the skills to advance in management - financial awareness is a 'must have' if you are to progress in your career 1 What do accountants do? The finance function, types of accountant, financial v management accounting and the treasury function Understanding the role of the finance function and how the information you provide may be used 2 The basic financial statements Balance sheets and income statements (P&L accounts) What they are, what they contain and above all what they can reveal - how to read them The accounting process - from transactions to financial statements What underpins the statements - accounting systems and internal controls 3 Why be in business - from a financial perspective The driving forces behind financial information Performance measures - profitability, asset utilisation, sales and throughput, managing capital expenditure 4 Accounting rules - accounting standards Accounting concepts and the accounting rules: accruals, 'going concern' - substance over form and other 'desirable qualities' Accruals - why the timing of a transaction is so important to the finance function Depreciation and amortisation - the concepts and practice Accounting standards - the role of International Financial Reporting Standards 5 Cash The importance of cash flow - working capital management Cash flow statements - monitoring overall cash flows Raising cash - levels of borrowing, gearing Spending cash - an outline of capital expenditure appraisal 6 Budgeting Why budget? - good and bad practice Determining why budgets play a key role and should not be simply an annual ritual Justifying your budgets - the link between the strategic plan and day-to-day budgeting - alignment of company culture Budgets as motivators - the importance of the right culture Techniques to improve budgeting - whether day-to-day or capital budgeting 7 Costing The type and detail of costing very much depends on your business - eg, manufacturing piston rings is quite different from the construction of a power plant Issues with overhead allocation Accounting for R&D 8 Reading financial statements Annual financial statements - why they are produced, what's in them and what you should look for Learning what a set of accounts reveals about a company's current situation, profitability and future prospects 9 Performance measurement - analytical reviews and ratio analysis ROI/ROCE Profitability, margins and cost control Sales - asset turnover Efficiency (asset / stock turnover, debtor / creditor days) 'City' measures Investment (interest / dividend cover, earnings per share, dividend yield)

ChatGPT, along with other AI tools, aims not to replace the human touch in management, but to enhance it. By addressing repetitive, daily tasks, these tools free up managers to concentrate on core responsibilities like strategic decision-making, team development, and innovation. As we move further into the digital age, integrating tools such as ChatGPT isn't a luxury; it's the future of proactive leadership. In this guide, we'll delve into 10 practical ways through which AI can elevate your efficiency and refine the quality of your work. Gain familiarity with prominent AI tools in the market Efficiently compose and respond to emails Generate concise summaries of complex reports and data. Obtain quick insights, data, and research across varied topics Streamline the writing of articles, training notes, and posts Craft interview tests, form relevant questions, and design checklists for the hiring process 1 Streamlining emails An inbox can be a goldmine of information but also a significant time drain for managers. Here's how to optimise it: Drafting responses: Give the AI a brief, and watch it craft a well-structured response. Sorting and prioritising: By employing user-defined rules and keywords, ChatGPT can flag important emails, ensuring no vital communication slips through the cracks. 2 Efficient report writing Reports, especially routine ones, can be time-intensive. Here's a smarter approach: Automate content: Supply key data points to the AI, and let it weave them into an insightful report. Proofreading: Lean on ChatGPT for grammar checks and consistency, ensuring each report remains crisp and error-free. 3 Rapid research From competitor insights to market trends, research is a pivotal part of management. Data synthesis: Feed raw data to the AI and receive succinct summaries in return. Question-answering: Pose specific questions about a dataset to ChatGPT and extract swift insights without diving deep into the entire content. 4 Reinventing recruitment Hiring can be a lengthy process. Here's how to make it more efficient: Resume screening: Equip the AI to spot keywords and qualifications, ensuring that only the most fitting candidates are shortlisted. Preliminary interviews: Leverage ChatGPT for the initial rounds of interviews by framing critical questions and evaluating the responses. 5 Enhancing training Especially for extensive teams, training can be a monumental task. Here's how ChatGPT can assist: Customised content: Inform the AI of your training goals, and it will draft tailored content suitable for various roles. PowerPoint design: Create visually appealing slide presentations on any topic in minimal time.

Bad news - people don't buy your product. Better news - they don't buy anyone else's product either. Best news - they do buy what a product gives them, whether it be removing 'pain' or giving 'pleasure'. So what a challenge it is that every single person buys your product for a slightly different reason! What's the secret to selling in that sort of sales environment? This programme provides a great roadmap. This course will help participants: Build rapport with authenticity Use open questions, listening and summary to properly understand the prospect Use 'impact' questions to 'stack the pain' of remaining with the status quo Convert features into personalised benefits that reflect stated needs Handle objections with calm confidence Identify buying signals Close effectively Convey credible urgency centred on the prospect's - not the salesperson's - interests 1 What makes a customer buy any product? Moving towards 'pleasure' Moving away from 'pain' Robert Cialdini's Psychology of Influence - buying motives Understanding what your product does for customers Why there is never a 'one size fits all' approach What are the real 'unique selling points' and why the salesperson is the real 'USP' At what point does the customer emotionally buy your product? 2 Getting past gatekeepers What gatekeepers' motivations are How to make them your friend rather than your enemy How to make your call harder to block than to put through How to control the gatekeeper with questions, not answers Using Cialdini's 'reciprocity' law to get put through more often Practical exercise in which the trainer poses as gatekeeper 3 Questioning and listening skills How to use open questions to get the customer talking What questions to avoid and why How to 'stack the pain' of the status quo with 'impact questions' Practical 'pain stacking' exercise in pairs What listening is and what it isn't Question funnelling - how to earn deeper disclosure through probing Practical funnelling exercise in pairs The power of summary 4 How to create tailored benefits and not 'dive into solution' What is 'diving into solution'? Examples and analogies Why it is to be avoided Practical exercise in pairs - how it feels to have solutions offered up too early How to avoid 'feature-dumping' What is 'value selling'? How to create tailored benefits How to convert product features into benefits How to deal with the prospect's competitor allegiance 5 Handling objections and testing the water How to overcome the price objection by selling value Common objections the participants encounter and answers that work The objections salespeople carry in their own heads The 'A-C-E' objection-handling model How to uncover objections When - and when not - to trial close 6 Closing skills Why salespeople often close too early How to identify buying signals How to use urgency with skill and effectiveness Four killer closing techniques that work How to avoid buying the product back by careless post-sale talk How to ask for referrals for your product How to 'farm' the account for future opportunities 7 Wrap-up Key learnings from each participant Individual action planning - steps that can and will be implemented in the workplace

This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups