19 Algebra courses in Belfast delivered Live Online

For those who are working towards exam confidence Save Your Child’s Spot in the 11+ Maths foundations Winter Course  Concerned about your child’s struggle with math concepts and word problems? Worried about them answering complex problems under time-pressure? Want them to be exposed to the type of exam style questions they'll need to master? Our engaging course doesn’t just teach numbers; Our Maths courses build confidence.  This course is perfect for students in Year 5 preparing for their 11+ Exam in 2024. It is complimentary to our weekly term time small group 11+ maths classes We transform 11+ Maths exam prep from a challenge to an exciting adventure, helping your child become a resilient and prepared student. Mathematics can be a battleground for many students, especially when faced with word problems. We understand the fear of numbers, the confusion with multiplication tables, and the frustration of not being able to solve real-world math challenges. Key Details: Duration: 4 hours Official Lesson Start Date: February half term TBD Maths Focus Areas: Times Tables 8- 15, Word Problems, Fractions, Percentages and Decimals, Geometry + intro to algebra Group Size: 4 to 8 students For Just £117.00 *save 25% with our Small Business Saturday offer!   What our families have to say:

Today, every individual and organisation is a publisher. You want everyone in your organisation to be a potential ambassador. And every employee has something to gain from raising their profile and showcasing their expertise. An effective content strategy allows you to deliver compelling stories to your audience in the most seamless way possible to make an emotional connection. This requires a mix of passion for the subject matter, a deep relationship with your audience, robust production processes, and the right tools.  With a background in journalism and technology, we’ve worked on many projects that combine the two – including overseeing the iPad edition launches for Condé Nast in the UK, product ownership of a Digital Asset Manager for Condé Nast International, and developing and delivering content training for telco VEON.  Publishers and brands we’ve worked with include WIRED, Time Out, GQ, Vanity Fair and Vogue – as well as solo entrepreneurs and startups who are trying to cut through the noise and get their message heard.  In this course we'll cover the key elements of an effective content strategy: how to plan across multiple platforms, and how to implement your blueprint without exhausting yourself or your team. Sample learning content  Session 1: Planning a content strategy Mapping and understanding your audiences. Defining your content objectives, for you or your organisation. Common pitfalls with poorly targeted content. Session 2: A content creation framework Finding ideas to generate a consistent stream of content. Idenitfying angles that will help you stand out from the crowd. Using different formats across multiple channels. Session 3: Keeping it going Simple processes to help hit deadlines and publish regularly. Balancing content creation and content creation. Creating a mix of evergreen and timely content. Session 4: Measurement and iteration Useful (and useless) metrics for content producers. Handling comments and joining the conversation. Iterating your content strategy based on feedback. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. 
To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “The EMpower Network commissioned the content creation workshop to understand how to communicate effectively with a wide range of stakeholders. In light of covid-19, it’s more important than ever to communicate clearly especially as we’ve moved to remote meetings. The workshop was very insightful and Alan was a very engaging speaker making sure all attendees contributed and worked through real-life examples. Attendees praised the usefulness of the workshop and especially liked the content generation framework with one saying 'It has changed the way I think about communicating and given me a toolkit that I will use in both my work and personal projects'.” Shade Nathaniel-Ayodele | EMpower Network, Southwark Council 

Today, everyone is a publisher. Whether you're filling your company blog with compelling ideas, producing newsletters to engage your customers, packing your social media feeds with engagin content, or crafting insightful posts to push your personal professional profile – you need to use storytelling to engage your audience.  In this workshop we'll break down the key ingredients that make content engaging. We'll go through a proven framework for taking ideas from initial spark, through developing a unique angle, to idenitfying the ideal format for execution.  We'll discuss the purpose of the content you have in mind, and look at how your can plan a strategy to publish regularly and measure the results.  This is a fully interactive online workshop, so be prepared to join discussions and develop your own content ideas.  Takeaways Understanding the needs of your target audience. Identifying the Subject, Angle and Format. Cheap (or free!) tools to create professional content. Useful systmes for publishing regularly, and keeping the work manageable. Knowing where to publish on the web, social media and other platforms. Promoting your content, and getting feedback. Delivery  We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets.
 Testimonial “The EMpower Network commissioned the content creation workshop to understand how to communicate effectively with a wide range of stakeholders. In light of covid-19, it’s more important than ever to communicate clearly especially as we’ve moved to remote meetings. The workshop was very insightful and Alan was a very engaging speaker making sure all attendees contributed and worked through real-life examples. Attendees praised the usefulness of the workshop and especially liked the content generation framework with one saying 'It has changed the way I think about communicating and given me a toolkit that I will use in both my work and personal projects'.” Shade Nathaniel-Ayodele | EMpower Network, Southwark Council 

About this Virtual Instructor Led Training (VILT) The 5 half-day Piping Stress Engineering Virtual Instructor Led Training (VILT) course will systematically expose participants to: The theory and practice of piping stress engineering, with special reference to ASME B 31.1 and ASME B 31.3 Standards. The basic principles and theories of stress and strain and piping stress engineering, through a series of lessons, case study presentations, in-class examples, multiple-choice questions (MCQs) and mandatory exercises. Principal stresses and shear stresses which form the backbone of stress analysis of a material. Expressions for these quantities will be derived using vector algebra from fundamentals. Thermal stress-range, sustained and occasional stresses, code stress equations, allowable stresses, how to increase flexibility of a piping system, cold spring. The historical development of computational techniques from hand calculations in the 1950s to the present-day software. Training Objectives On completion of this VILT course, participants will be able to: Identify potential loads the piping systems and categorise the loads to primary and secondary. Determine stresses that develop in a pipe due to various types of loads and how to derive stress-load relationships, starting from scratch. Treat the primary and secondary stresses in piping system in line with the intent of ASME Standards B 31.1 and B 31.3 and understand how the two codes deal with flexibility of piping systems, concepts of self-springing and relaxation/shake down, displacement stress range and fatigue, what is meant by code compliance. Understand the principles of flexibility analysis, piping elements and their individual effects, flexibility factor, flexibility characteristic, bending of a curved beam and importance of virtual length of an elbow in the flexibility of a piping system. Learn stress intensification factors of bends, branch connections and flanges. Understand how the stresses in the material should be controlled for the safety of the piping system, the user and the environment. Examine how codes give guidance to determine allowable stresses, stress range reduction due to cyclic loading, and effects sustained loads have on fatigue life of piping. Confidently handle terminal forces and moments on equipment. Understand the supplementary engineering standards required to establish acceptance of the equipment terminal loads and what can be done when there are no engineering standard governing equipment terminal loads is available and learn the techniques of local stress analysis. Get a thorough understanding of the concepts and the rules established by the ASME B 31.1 and ASME B 31.3 Standards. Perform flange load analysis calculations based on Kellogg's Equivalent Pressure method & Nuclear Code method. Perform the same using a piping stress analysis software and check for flange stresses and leakage. Confidently undertake formal training of piping stress analysis using any commercial software, with a clear understanding of what happens within the software rather than a 'blind' software training and start the journey of becoming a specialist piping stress engineer.   Target Audience The VILT course is intended for: Recent mechanical engineering graduates who desire to get into the specialist discipline of Piping Stress Engineering. Junior mechanical, chemical, structural and project engineers in the industry who wish to understand the basics of Piping Stress Engineering. Engineers with some process plant experience who desire to progress into the much sought-after specialist disciplines of Piping Stress Engineering. Mechanical, process and structural engineers with some process plant experience who desire to upskill themselves with the knowledge in piping stress engineering and to become a Piping Stress Engineer. Any piping engineer with some pipe stressing experience in the industry who wish to understand the theory and practice of Piping Stress Engineering at a greater depth. A comprehensive set of course notes, practice exercises and multiple-choice questions (MCQs) are included. Participants will be given time to raise questions and participants will be assessed and graded based on responses to MCQs and mandatory exercises. A certificate will be issued to each participant and it will carry one of the three performance levels: Commendable, Merit or Satisfactory, depending on how the participant has performed in MCQs and mandatory exercises. Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a fully qualified Chartered Professional Engineer with over 40 years of professional experience in Oil & Gas (onshore and offshore), Petrochemical and Mining industries in engineering, engineering/design management and quality technical management related to plant design and construction. At present, he is assisting a few Perth based oil & gas and mining companies in detail engineering, piping stress analysis, feasibility study and business development work related to plant design. He is a pioneer in piping stress engineering in Western Australia. His recent major accomplishments include the following roles and challenges: Quality Technical Support Manager of USD 54 billion (Gorgon LNG Project). This encompassed management of quality technical services connected with Welding, Welding Related Metallurgy, Non-Destructive Examination, Insulation /Refractory /Coating, AS2885 Pipelines Regulatory Compliance and Pressure Vessel Registration. Regional Piping Practice Lead and Lead Piping Engineer of Hatch Associates. In this role, he was responsible for providing discipline leadership to several mining projects for BHP Billiton (Ravensthorpe), ALCOA-Australia (Alumina), Maáden Saudi Arabia (Alumina), QSLIC China (Magnesium), COOEC China (O&G Gorgon). He was actively involved in the development of piping engineering practice in WA, including training and professional development of graduate, junior and senior engineers. This also includes the formation of the Piping Engineering Specialist Group. Lead Piping/Pipe Stress Engineer on ConocoPhillips' (COP) Bayu Undan Gas Recycle, Condensate production and processing platform. He was able to develop several novel design methodologies for the project and provided training to engineers on how to implement them. These methodologies were commended by COP and the underwriters of the project Lloyds Register of Shipping, UK. Creator of Piping Engineering Professional Course aimed at global engineering community. Professional Affiliations: Fellow, Institution of Mechanical Engineers, UK (IMechE) Fellow, Institution of Engineers, Australia (EA), National Register of Engineers (NER) Member American Society of Mechanical Engineers, USA (ASME) Honorary Life Member, Institution of Engineers, Sri Lanka (IESL)   POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

The insights gained from data analysis are only truly valuable when you can be clearly expressed to other people – bosses, colleagues, clients, customers, or other stakeholders. In this workshop you’ll learn how to turn raw qualitative or quantitative data into a clear visual story through infographics and data visualization. We'll discuss the key principles for planning an effective visual, look at examples of best (and worst) practice, and learn repeatable and practical design techniques for enhancing the story. We'll also give you an overview of useful tools that will help you turn your idea into a finished infographic or data visualization. You could be conjuring up eye-catching slide decks, building effective reports and dashboards, pitching to investors, or presenting persuasive data to your most important customers.  This is a fully interactive online workshop, so be prepared to join discussions and get hands on with building your own visualisations.  Takeaways Be able to evaluate the elements that make an infographic or visualization effective. Learn quick and repeatable visual tricks for ensuring infographics convey a clear message. Understand how to tailor your approach to different audiences and context. Discover a bunch of free tools and resources to help you build your own visualizations. Understand how online, interactive visualizations work and how to create them. Delivery  We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets.
 Testimonials "Just to say what a great course this was. I have made my first report employing some of the ideas and tools you showed us – to rapturous responses! The next actions are clear for all and they all understood it! Thank you for helping me to organise my data and thoughts, showing how to present the key message up front, and how to keep it simple and focused. Gearing up for another report now!" Kay Anderson | Head of Finance | Mima "We have been using Tableau to display data for some time but knew we could do more to engage our end users. Alan’s training gave us a framework to start thinking about what we wanted to achieve with our visualisations and analysis, and some great tips on how to display information for maximum impact. Alan was an engaging trainer and we found the workshops very energising." Ellen Austin | Senior Data Analyst | London School of Economics

For those who are aiming for top marks in their GCSE maths exam  Save Your Child’s Spot in the GCSE higher maths Paper 1 Workshop Is your child on track for a Grade 7-9? Want them to have the advantage of hearing from a GCSE Exam specialist teacher with over 20 years of teaching experience? Worried about them answering complex problems under time pressure? Want them to be exposed to the type of exam-style questions they'll need to master? Our engaging course doesn’t just teach numbers; Our Maths courses build confidence. Meet Shola, our GCSE Maths Expert! I specialise in tutoring students of all abilities in the following areas: foundation to higher GCSE maths, and general maths tuition for key stages 3 and 4. Lessons are tailored to my students by further developing their understanding of mathematical concepts as well as delivering lessons based on current needs and upcoming course materials. My role as Head of Year means that I oversee the pastoral support of students in my year group so that learning at every level of the individual is supported. I am a qualified Designating Safeguarding Lead Level 3 which means that I have practical knowledge and skills to protect the welfare of students and to take action when necessary. Course Objectives: - Revision techniques so there's less cramming + more confidence - Effective exam techniques for challenging questions for paper 1 - Review of past papers for Paper 1 to gain exposure to exam terminology + formating - Exam techniques to ensure no stress in a time pressure situation and top tips to avoid common errors that students fall into! We transform GCSE Maths exam prep from a challenge to an exciting adventure, helping your child become a resilient and prepared student. Mathematics can be a battleground for many students, especially when faced with word problems. We understand the fear of numbers, the confusion with algebra, and the frustration of not being able to solve real-world math challenges. Key Details: Duration: 3 hours Official Lesson Start Date: TBD during Feb Half term Maths Focus Areas: Paper 1 Higher Group Size: Max 15 Recorded! For Just £97  Students who work with Bettering Youth tutors improve by a minimum of 2 grades; we have a 100% pass rate! What our families have to say: "Think it all went very well today. Shola seems very nice. Spoke with her briefly at the end of the lesson." "Sarahlynn has been nothing but a source of strength and encouragement for my daughter Ella. After struggling with confidence at school and feeling embarrassed to put her hand up in class, she was falling behind. Since Sarahlynn has been working with her, she has gone up a Math set and has become noticeably more relaxed in social settings. We couldn’t be more proud."

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

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

In this online course, you will learn how to solve simultaneous equations from start to finish using two algebraic methods. UNDERLYING KNOWLEDGE: Rearranging equations; Expanding brackets; Collecting like terms