322 Courses in Cardiff delivered Online

Course Title: Basic Fundamentals of Electricity and DC Circuit Analysis Unlock the Power of Understanding with Our Comprehensive Course!   Overview: Welcome to the 'Basic Fundamentals of Electricity and DC Circuit Analysis' course, where we demystify the world of electrical circuits and empower you with essential knowledge. Whether you're a novice looking to grasp the basics or a professional seeking a refresher, this course is designed to cater to all skill levels.   Key Features: Foundational Understanding: We start at the very beginning, ensuring that you build a strong foundation in the principles of electricity. You'll gain insights into voltage, current, resistance, and the fundamental laws governing DC circuits. Practical Application: Theory comes to life through hands-on, practical exercises. Learn to analyze and troubleshoot DC circuits using real-world examples, enhancing your ability to apply knowledge in practical scenarios. Interactive Learning: Our engaging course structure incorporates multimedia elements, quizzes, and interactive sessions to keep you actively involved. We believe in making the learning process dynamic and enjoyable. Expert Instruction: Led by seasoned professionals with extensive experience in the field, our instructors are dedicated to ensuring that you not only understand the concepts but also gain valuable insights from their real-world expertise. Comprehensive Curriculum: From the basics of electrical components to in-depth DC circuit analysis, this course covers a wide spectrum. Topics include Ohm's Law, Kirchhoff's Laws, circuit theorems, and more. Industry-Relevant Skills: Equip yourself with skills directly applicable to various industries. Whether you're pursuing a career in electronics, electrical engineering, or simply want to enhance your DIY projects, this course provides the knowledge you need.   Who Should Enroll: Students pursuing studies in electrical engineering or related fields. Professionals seeking a refresher on fundamental electrical concepts. Hobbyists and DIY enthusiasts looking to expand their skill set. Anyone curious about understanding the principles behind electrical circuits.   Why Choose This Course: Versatile Skill Enhancement: Acquire skills applicable to a broad range of industries and personal projects. Career Advancement: For students, this course serves as a stepping stone to more advanced studies. Professionals can use the knowledge gained to excel in their current roles or explore new opportunities. Confidence in Handling Electrical Systems: Gain the confidence to handle electrical systems responsibly and troubleshoot issues effectively. Investment in Your Future: Electrical knowledge is a valuable asset. By investing in this course, you're investing in your personal and professional development. Don't miss out on the opportunity to master the 'Basic Fundamentals of Electricity and DC Circuit Analysis.' Enroll now and embark on a journey towards electrical expertise! Course Curriculum Introduction To Basic Fundamentals Of Electricity And Dc Circuit Analysis Course Introduction To Basic Fundamentals Of Electricity And Dc Circuit Analysis Course 00:00 The Nature Of Electricity The Nature Of Electricity 00:00 Conductors Insulators Conductors Insulators 00:00 Current And Electric Circuits Current And Electric Circuits 00:00 Ohm S Law Ohm S Law 00:00 Electric Power Electric Power 00:00 Series Parallel Circuits Series Parallel Circuits 00:00 Circuit Theorems Circuit Theorems 00:00 Electric Fields And Capacitance Electric Fields And Capacitance 00:00 Magnetism And Inductance Magnetism And Inductance 00:00 Transient Response Capacitors Inductors Transient Response Capacitors Inductors 00:00

Course Overview Learn to excel during one-to-one evaluations and make the perfect first impression with this comprehensive Interview Skill Training. Employers can have their perception of an applicant affected if they show signs of nervousness, offer inappropriate responses, and display a lack of knowledge. You can learn how to avoid all of those traits and become an individual that a recruiter will see as the right person for the best job. This Interview training concentrates on the techniques and methods that will show you in a positive light during any employment consultation. Each section provides a wealth of tips and tricks to ease your nerves and land that dream job! From mental preparation to thinking on your feet, a complete learning curve is provided. No matter whether you need a refresher to find a new career path or are just entering the employment market, you'll find exactly what you need here. This best selling Interview Skill Training has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Interview Skill Training is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Interview Skill Training is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Interview Skill Training is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Interview Skill Training, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Interview Skill Training will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Interview Skill Training to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the

Our suite of modules are based around helping the customer to buy and enabling salespeople to maximise their conversations with their customers.

Description: Are you interested in a career in computer science? Programming is the art of writing useful, maintainable, and extensible source codes which can be read or compiled by a computer system to perform a significant task. Take your first step towards learning core programming concepts and equip yourself with the practical knowledge and skills to resolve complicated problems. Discover all you need to know about programming language with this computer science course. By learning the correct programming theory, you will be able to analyse a problem and identify suitable solutions to those problems, which is a key part of web development. Apart from the theories of Algorithm analysis, this computer programming course also teaches the number system, arrays and their advantages, the process of analysing a problem, nodes and their Importance, and various sorting algorithms and their comparisons. There are no entry requirements for this course and you can study from the comfort of your own home. Enrol in this Diploma in Computer Science and Programming course today and learn to write code like an expert. Who is the course for? Anyone who wants to become a Good Programmer Anyone interested in the Computer Science Discipline Anyone who wants to learn how to problem solve like a Computer Scientist Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £14.99 or in PDF format at a cost of £11.99. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Kurt Anderson - Promo FREE 00:02:00 Kurt Anderson - 1 Introduction 00:01:00 Kurt Anderson - 2 Binary System 00:11:00 Analyzing Algorithms Kurt Anderson - 3 Complexity Introduction 00:02:00 Kurt Anderson - 4 Math Refresher Logarithmic Functions 00:11:00 Kurt Anderson - 5 Math Refresher Factorial Functions.TS 00:03:00 Kurt Anderson - 6 Math Refresher Algebraic Expressions.TS 00:03:00 Kurt Anderson - 7 n-notation 00:18:00 Kurt Anderson - 8 Big O 00:13:00 Kurt Anderson - 9 Big O Real World Example 00:10:00 Arrays Kurt Anderson - 10 How is Data Stored 00:09:00 Kurt Anderson - 11 Fixed Arrays 00:20:00 Kurt Anderson - 12 Circular Arrays 00:08:00 Kurt Anderson - 13 Dynamic Arrays 00:16:00 Kurt Anderson - 14 Array Review 00:08:00 Kurt Anderson - 15 Array Real World Examples 00:06:00 Linked Lists Kurt Anderson - 16 Nodes 00:04:00 Kurt Anderson - 16 Linked List 00:14:00 Kurt Anderson - 17 Linked List Run Times 00:15:00 Kurt Anderson - 18 Doubly Linked Lists 00:08:00 Kurt Anderson - 19 Tail Pointer 00:05:00 Kurt Anderson - 20 Linked List Real World Examples 00:03:00 Kurt Anderson - 21 Linked List Review 00:04:00 Stacks and Queues Kurt Anderson - 22 Stacks 00:10:00 Kurt Anderson - 20 Stack Example 00:11:00 Kurt Anderson - 23 Queues 00:09:00 Kurt Anderson - 24 Queue Examples 00:10:00 Kurt Anderson - 25 Queue and Stack Run Times 00:06:00 Kurt Anderson - 26 Stack and Queues Real World Examples 00:07:00 Sorting Algorithms Kurt Anderson - 27 Sorting Algorithm Introdcution 00:02:00 Kurt Anderson - 28 Bubble Sort 00:10:00 Kurt Anderson - 29 Selection Sort 00:10:00 Kurt Anderson - 30 Insertion Sort 00:09:00 Kurt Anderson - 31 Quick Sort 00:15:00 Kurt Anderson - 32 Quick Sort Run Times 00:10:00 Kurt Anderson - 33 Merge Sort 00:12:00 Kurt Anderson - 34 Merge Sort Run Times 00:08:00 Kurt Anderson - 35 Stable vs Nonstable 00:07:00 Kurt Anderson - 36 Sorting Algorithm Real World Examples 00:04:00 Trees Kurt Anderson - 37 Basics of Trees 00:08:00 Kurt Anderson - 38 Binary Search Tree 00:09:00 Kurt Anderson - 39 BST Run Times 00:08:00 Kurt Anderson - 40 Tree Traversals 00:13:00 Kurt Anderson - 41 Tree Real World Examples 00:05:00 Heaps Kurt Anderson - 42 Heap Introduction 00:04:00 Kurt Anderson - 43 Heap Step by Step 00:12:00 Kurt Anderson - 44 Heap Real World Examples 00:07:00 Conclusion Kurt Anderson - 45 Thank You 00:01:00 Course Certification Order Your Certificates and Transcripts 00:00:00

Course Objectives The goal of this course is to provide you with the knowledge required to use more advanced functions and formulas and work with various tools to analyse and present data in spreadsheets, such as sorting, filtering, applying conditional formatting and charting the data. ' Customer Feedback Really useful and engaging course. Learnt a lot that will be very beneficial in my job. Trainer was great. Kelly Moreley - TACT Very happy with the course. Worked as a good refresher from what I knew already and enhanced my knowledge further in formulas + vlookup and shortcut keys. Jenny Price - Acer 1 year email support service Take a look at the consistent excellent feedback from our corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Tailored training courses: In, in company training, you can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Recap on Excel formulas and calculations Overview of formulas in Excel Relative, Absolute and Mixed cell references Group editing worksheets Autofill and Flash Fill Changing Excel’s environment Options Changing the default number of sheets Creating an Autofill Custom List Adding tools to the Quick Access Toolbar Mastering Excel Tables Introducing Excel Tables Formatting a Table Creating Calculated Columns Using Slicers to filter your data Using Totals to get statistics out of your data Removing duplicates Converting Tables back to normal Ranges Using names Ranges In Excel formulas As a way of navigating through the workbook Advanced Formulas Simple IF examples Using IF to check if a cell is blank Nested IFs VLOOKUP HLOOKUP Text Functions Date Functions Conditional formatting Apply Conditional Formatting Customising Conditional Formatting Using Icons in Conditional Formatting Using Formulas to conditionally format cells Linking spreadsheets and workbooks Making a reference to another worksheet Making a reference to another workbook Editing links Troubleshooting links Analysing databases Quick analysis Sorting a database Apply filters to a database Advance filter Sorting and Filtering by Conditional Formats Charts Analyse trends in data using Sparklines Creating charts from start to finish Exploring the different Chart Types Apply Chart Styles Formatting Chart Elements Filtering Charts by Series or Categories Adding a Trendline to a Chart Create a Chart Template Attaching security to a spreadsheet and workbook Protect Cells Protect Structure of worksheets Protect a Workbook by adding passwords Introduction to Pivot Tables What are Pivot Tables? Using recommended pivot tables to analyse your data Who is this course for? Who is this course for? For those who want to explore in more detail formulas and functions, data analysis and data presentation. Requirements Requirements Preferably, delegates would have attended the Excel Introduction course. Career path Career path Excel know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included

This course has been designed to guide the complete beginner or act as a refresher for those who may have dabbled in Blackwork embroidery in the past. We will cover the history, styles of Blackwork embroidery, threads and techniques.

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.

Throughout the phlebotomy refresher course, you will look at the theory behind phlebotomy and be allowed to develop your practical skill using the most up-to-date techniques and equipment. Additional course details Course Contents A background to phlebotomy Health and safety in phlebotomy Infection control Informed consent Anatomy and physiology of the arm Site selection - good and bad veins Complications can arise when taking blood Needlestick Injuries; what they are and what to do How and where to correctly apply a tourniquet What is expected of a phlebotomist The importance of correct patient identification and informed consent Assessment: Learners must complete online theory and multiple choice assessments before sending in a case study of their work. The Learner has 12 weeks to complete and provide a case study. Once the case study has been approved, a certificate will be uploaded to the student's account. This course was designed for learners to reshes their subject knowledge and practical skill; if you have no prior qulification would need to attend our onsite training course. Course Features CPD Accredited CourseVetted accredited trainingFully Online TrainingTrain your way on any deviceFull DemonstrationComplete end to end treatment demonstrationImmediate CertificationDelivered immediately after completion Frequently Asked Questions How long do I have to complete the training course? Once you have logged in and started your training course you will have 3 months to complete your training. Can I train straight away after making payment? Yes. Once you have completed payment our system will automatically enrol you onto the training course. You will then receive an email with instructions and a direct link to login and start your course. Can I get insurance once I have completed this training? Our online training courses are CPD accredited. Acquiring insurance based on completion and accreditation from our online training courses is insurer specific and as with most cases also takes into account your personal background and status. We advise that you contact your insurance to ensure your prerequisites meets their requirements and that this training course meets their specific criteria for insurance. We have a relationship with Insync Insurance which we recommend. Is this course accredited? Yes. This training course is accredited by the CPD group.