17635 ESS courses in Coventry delivered Online

Tax Accounting Course Overview Tax Accounting teaches you everything you need to know about taxation in the UK from the ground up, helping you earn a professional certificate for free to boost your career profile. This Tax Accounting course is a comprehensive, instructor-guided programme designed to give you a thorough understanding of the tax system and your responsibilities within it. To excel in today’s competitive financial sector, having specialist tax knowledge is essential. Through this in-depth training, you will develop the critical skills needed to start or enhance your career in tax accounting, whether you’re a beginner or an experienced professional looking to refine your expertise. The learning materials are accessible online, giving you the flexibility to study at your own pace and accelerate your journey towards a successful and rewarding career in accounting and finance. Extra Included: Free Course Included: Accounting Masterclass Lifetime Access Free Student ID Card Learning Outcome Understand the structure of the UK tax system and administration processes. Calculate and manage income tax, corporation tax, VAT, and capital gains tax. Complete and submit self-assessment tax returns accurately. Manage payroll taxes, national insurance contributions, and employee wages. Grasp advanced concepts of income taxation and financial analysis. Apply double-entry accounting principles in taxation contexts. Explore professional career paths and responsibilities of a tax accountant. Why Choose This Course? The Tax Accounting course provides practical, job-ready training that covers real-world tax scenarios. You’ll gain hands-on skills highly valued by employers and small businesses. Whether you're aiming to start your career, grow your freelance services, or simply understand tax accounting better for personal or business needs, this course offers the clarity and confidence you need to succeed. Who Is This Course For Aspiring tax accountants or payroll professionals Finance and accounting students Small business owners managing their own taxes Professionals seeking to expand their tax knowledge Entry Requirements There are no specific prerequisites for this course. It is open to anyone interested in learning about tax accounting. Accredited Certification After successfully completing the course, you can get a UK and internationally accepted certificate to share your achievement with potential employers or include it in your CV. For the PDF certificate, you’ll need to pay £9.99. You can get the hard copy for 15.99, which will reach your doorstep by post.

Cost Control Process and Management Level 3 Course Overview Cost Control Process and Management Level 3 provides a thorough, step-by-step understanding of how to monitor, manage, and reduce costs in the food and hospitality industry. Whether you're managing a restaurant, running a kitchen, or simply want to optimise your business processes, this course breaks down everything you need to know — from inventory terms and purchasing controls to recipe costing and menu engineering. This instructor-guided, self-paced course is packed with practical examples and real-world insights that will help you reduce waste, increase profitability, and maintain operational efficiency. With lifetime access to the course materials, you can learn at your own speed and revisit content anytime you need a refresher. Extra Included: Free Accredited Certificate Included Lifetime Access Free Student ID Card Learning Outcome Understand key cost control terms and inventory principles Set up effective PAR levels and re-order points Manage purchasing, receiving, and storing processes efficiently Apply recipe cards, buffet costing, and menu pricing strategies Perform butcher tests, bar checks, and spot recipe testing Monitor slow/non-moving stock and control production Use reports and checklists for daily/monthly food cost tracking Implement menu engineering reports to boost profitability Why Choose This Cost Control Process and Management Level 3 Course? This course has been designed to provide you with job-ready skills that are directly applicable in real-world cost control environments. You’ll gain both the theoretical understanding and the hands-on techniques needed to streamline operations and cut unnecessary costs. All content is accessible online and supported by expert guidance. Whether you're aiming to enhance your current role or preparing for a new career path, this course will help you stand out in the food & beverage industry. Who is this Cost Control Process and Management Level 3 Course for? This course is ideal for individuals looking to strengthen their expertise in the subject area, whether you're a complete beginner aiming to build foundational knowledge, a professional seeking to enhance your current role, or a business owner wanting to manage specific operations in-house. It's also beneficial for career changers exploring new opportunities, or anyone eager to gain practical, industry-relevant skills to boost their employability. Entry Requirements There are no formal requirements to enrol in this course. A basic understanding of food service or hospitality operations will be helpful but not essential. Accredited Certification After successfully completing the course, you can get a UK and internationally accepted certificate to share your achievement with potential employers or include it in your CV. For the PDF certificate, you’ll need to pay £9.99. You can get the hard copy for 15.99, which will reach your doorstep by post.

Build and develop your financial understanding with fundamental business essentials that every business owner should know and understand.

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Duration 2 Days 12 CPD hours This course is intended for AT&T Custom Course - 5G Essentials - WiFi Ran Overview AT&T Custom Course - 5G Essentials - WiFi Ran AT&T Custom Course - 5G Essentials - WiFi Ran AT&T Custom Course - 5G Essentials - WiFi Ran

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Duration 2 Days 12 CPD hours This course is intended for Leaders & Managers Overview The practical emotional intelligence tools every manager needs to build performance, communication, trust and leadership skills. Management Essentials with applied Emotional Intelligence delivers crucial tools for professionals to learn more about the people side of the organization. Strengthening performance with a powerful framework to understand the job of managing people. Provides practical tools for effective management and leadership. This course blends engaging learning and powerful content with the perspective of emotional intelligence experts. It provides tools to help navigate through today?s challenges, foster innovation, and build organizations where people thrive. What is Emotional Intelligence? Learn about business EI - a practical, work based approach that helps individuals and teams. Discover 18 key brain talents essential to fuel performance. Essentials of Trust Where does Trust originate? Do we trust from the head or the heart? Explore the science of emotional intelligence with a practical approach. Use the EI tools to help you earn trust. The Challenge of Change Untangle and rewire to affect change. Understand the stages of change and the emotional transitions needed to support change. Recognize our own patterns; a key step to being more effective at change. Igniting Motivation The surprising truth about what motivates us. Find meaning in your work and help the people that work for you find meaning. Delve into Purpose, Skill and Autonomy, and find what motivates you and your team? Enhancing Teamwork What blocks us from utilizing Divergence in our Teams? What helps us? Learn to know the EI talents you have in your group. Understand working with differing personalities. Discover strengths and weaknesses and how can they be positive. Accelerating Execution Higher and lower talents and how they assist? Learn the impact of optimizing talent. Discover your EI talent to help you grow and optimize your execution.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Media Essentials for IT Business Decision Makers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.