Are you looking for something that will help you understand yourself and how to interact with others more effectively? Would you like something that uses a simple four colour model to quickly allow you to understand your personality type and how you can use this knowledge to enhance your relationships and reach your goals, whatever they are? We think that Insights Discovery might be just the thing for you! What's even better is that our Discovery bundle includes both a copy of your unique profile and a 90 minute personal session with our executive coach, Cami Rose, to chat it all through and set you up for success using your new knowledge for the future. Just request a session and we'll be in touch with the link that will allow you to complete the Insights evaluator and arrange your personal coaching session at a time to suit you. Want Discovery for your team? We can do that too. Leave us your name and details and we'll be in touch to chat through your needs and objectives.
The Combined First Aid at Work and Paediatric First Aid Course is ideal for those who work in settings that require both first aiders and paediatric first aiders, such as schools, sports clubs or other childcare settings. Combining the QA Level 3 Award in First Aid at Work (RQF) and the QA Level 3 Award in Paediatric First Aid (RQF) into 3 extended days of classroom learning, this specially designed course enables candidates to gain the skills and knowledge needed to provide both adult and paediatric first aid, whilst minimising the number of training days required to achieve both qualification. Candidates will cover a range of topics needed to provide effective first aid for adults, children and infants including CPR and defibrillation, choking, stroke, head injuries, asthma and much more.
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
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We develop tailored courses that cater to your organisation's specific workplace wellbeing goals. If you can't find what you're searching for, don't hesitate to contact us. Many of the services and courses we currently offer were developed as solutions to a client's specific requirements. Since 2019,
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This programme has a simple objective: to help a sales team create and implementa comprehensive account development plan. If you want to earn strategic partner or preferred supplier status with your clients and customers then you need to add value to their business, consistently, and you can only do this if you have a plan - a key account management plan. This programme will help participants: Discover opportunities - through a deeper understanding of the customer's business Develop partnership - through a better 'value proposition' for the customer Increase repeat business - based on higher customer satisfaction Improve synergy - by getting everyone to 'sing from the same hymn sheet' Develop a collaborative account plan - validated by the customer and their own management Secure resources - management will align resources to execute soundly based account plans Win an increased share of 'customer wallet' - through systematic account development 1 The six principles of strategic account development Introduction to the PROFIT account development model:- Performance- Relationships- Objectives and goals- Feedback- Integration- Teamwork Practical account development strategies: overview and case studies 2 Performance Use practical tools to help you manage and measure account performance and success Design and build a monthly account dashboard for all sizes of account Prioritise and manage accounts and customers pro-actively and successfully, using proven planning tools Develop a cross-selling strategy to integrate products or solutions into the customer's business as closely as possible 3 Relationships How to build and manage key relationships within an account Qualifying and managing key influencers accurately Producing a 'relationship matrix' for each account quickly and easily Approaching and developing new contacts strategically Tools and techniques for successful tracking of contacts and call-backs Developing a coach or advocate in every customer organisation pro-actively 4 Objectives and goals Where are you now? - how to establish your competitive position within an account Know how to set, monitor and track key objectives for accounts over the short, medium and long term Selling against the competition - developing both long- and short-term sales strategies 5 Feedback - building loyal and satisfied customers The correct way to manage customer expectations and create listening loops within an account How to monitor and track your customer's perception and satisfaction with your organisation Building a personalised satisfaction matrix for each account Customer review meetings - best practice in building loyalty by regular joint planning events Understanding the concept of long-term customer value and the importance of adapting a customer-focused attitude 6 Integration How to integrate your products or solutions with the customer's business needs and processes Spot and react to early warning signals that may cause an account's loyalty to fade, reduce revenue or switch to a competitor Developing a loyalty strategy for key accounts or groups of smaller accounts Getting your message and strategy across to C-level contacts 7 Teamwork Working with others to achieve your account goals Gaining internal commitment from your organisation Managing and working with a virtual team Creating cross-departmental communication loops 8 Putting it all together Personal account reviews Personal learning summary and action plans
Data Ethics for Business Professionals is designed for individuals who are seeking to demonstrate an understanding of the ethical uses of data in business settings.