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Course Overview "JavaScript for Everyone" offers a comprehensive introduction to one of the most essential programming languages used in web development. This course covers the fundamental concepts of JavaScript, allowing learners to build dynamic, interactive websites. Students will gain a solid understanding of core JavaScript principles such as variables, loops, functions, and objects, as well as more advanced topics like cookies, page redirection, and error handling. By the end of the course, learners will be equipped with the skills to implement JavaScript in real-world projects, enhancing the interactivity and functionality of websites. Course Description This course provides an in-depth exploration of JavaScript, focusing on both basic and advanced topics. It begins with an introduction to key programming concepts before diving into areas such as conditional statements, functions, and events. Learners will discover how to work with JavaScript objects, arrays, and built-in objects like Number, Boolean, and String. Additionally, the course covers important aspects like page redirection, pop-up boxes, and validation techniques. By the end, students will be proficient in JavaScript debugging, error handling, and using regular expressions, with a clear understanding of how to apply JavaScript in web development projects. Course Modules Module 01: Introduction Module 02: Basic Concepts on JavaScript Module 03: Conditional and Switch Statements Module 04: JS Functions Module 05: JS Events Module 06: JS Cookies Module 07: JS Page Redirection Module 08: JS Popup Boxes Module 09: JS Void Module 10: JS Print Module 11: JS Objects Module 12: JS Number Object Module 13: JS Boolean Object Module 14: JS String Object Module 15: JS Arrays Module 16: JS Dates Module 17: JS Math and Reg Exp Module 18: JS Browsers and Summary Module 19: JS Debugging Module 20: JS Errors Module 21: JS Validations (See full curriculum) Who is this course for? Individuals seeking to develop web development skills. Professionals aiming to enhance their programming knowledge. Beginners with an interest in web development or JavaScript. Anyone looking to gain a foundational understanding of programming languages. Career Path Web Developer Front-End Developer JavaScript Developer Software Engineer Full-Stack Developer Web Application Developer

Course Overview This comprehensive course on "Data Analysis and Forecasting in Excel" provides learners with essential skills to manage, analyse, and visualise data effectively using Excel. Whether you are analysing historical data or forecasting future trends, this course covers key tools such as PivotTables, charts, and lookup functions to make your data work for you. Learners will also gain proficiency in automating tasks and creating dynamic reports, which are invaluable for decision-making processes in various professional settings. By the end of the course, you will have the capability to work with complex data sets, produce insightful reports, and apply forecasting techniques to guide future strategies. Course Description In this course, learners will delve into the full spectrum of data analysis capabilities offered by Excel. Topics include modifying worksheets, working with lists, and using advanced tools such as PivotTables, PivotCharts, and lookup functions. Learners will explore the process of visualising data through charts and sparklines, allowing them to convey complex information in an accessible manner. The course also covers automating workbook functionality and creating mapping data for better analysis. Additionally, learners will gain expertise in forecasting data trends to support strategic planning. By the end of the course, participants will have developed a comprehensive understanding of Excel’s analytical tools, enabling them to manage data with efficiency and precision in various business contexts. Course Modules Module 01: Modifying a Worksheet Module 02: Working with Lists Module 03: Analyzing Data Module 04: Visualizing Data with Charts Module 05: Using PivotTables and PivotCharts Module 06: Working with Multiple Worksheets and Workbooks Module 07: Using Lookup Functions and Formula Auditing Module 08: Automating Workbook Functionality Module 09: Creating Sparklines and Mapping Data Module 10: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to enhance their Excel data analysis skills. Professionals aiming to improve their forecasting and reporting capabilities. Beginners with an interest in data management and analysis. Those seeking to enhance their proficiency in Excel for career advancement. Career Path Data Analyst Business Analyst Financial Analyst Marketing Analyst Operations Manager Project Manager Excel Specialist in various industries such as finance, marketing, and logistics

Course Overview The Xero Accounting and Bookkeeping Level 7 course offers a comprehensive understanding of digital accounting using Xero software, tailored for individuals looking to advance in financial management and bookkeeping roles. This course equips learners with essential knowledge to manage sales, purchases, payroll, VAT, and fixed assets efficiently. Learners will also explore how to maintain accurate financial records and ensure compliance with current UK regulations. Whether you are looking to upgrade your skills or step into a new career, this course supports your professional development by building competence in cloud-based accounting practices. Upon completion, learners will have the confidence to work in a variety of finance-related roles and contribute effectively to any business or organisation’s accounting functions. Course Description This course delves into core areas of Xero accounting, starting with an introduction to the software and progressing through key functionalities including sales invoicing, purchase management, bank reconciliation, and payroll processing. Learners will be guided through each section in a structured and accessible way, allowing them to understand how to set up and manage accounts, handle tax returns, and record transactions accurately. Additional topics such as fixed asset tracking and product/service management provide a complete view of digital bookkeeping in a professional context. The curriculum is designed to align with UK financial standards and includes a detailed exploration of VAT return procedures. By the end of the course, learners will develop a strong grasp of Xero’s interface, gain proficiency in managing financial tasks digitally, and enhance their confidence to support accounting operations within various business settings. Course Modules Module 01: Introduction Module 02: Getting Started Module 03: Invoices and Sales Module 04: Bills and Purchases Module 05: Bank Accounts Module 06: Products and Services Module 07: Fixed Assets Module 08: Payroll Module 09: VAT Returns (See full curriculum) Who is this course for? Individuals seeking to develop advanced accounting skills using cloud-based software. Professionals aiming to improve their bookkeeping knowledge and career progression. Beginners with an interest in digital finance and business accounting. Small business owners and administrative staff managing company accounts. Career Path Xero Bookkeeper Accounts Assistant Payroll Officer Finance Administrator VAT Compliance Officer Office Manager (with financial duties) Small Business Accountant

Course Overview The "Criminology & Profiling" course provides an in-depth exploration of criminology, criminal behaviour, and profiling techniques. Learners will gain a comprehensive understanding of crime classification, the psychology of offenders, and the methods used in criminal investigations. This course combines theory with practical insights, preparing individuals to analyse criminal patterns and contribute to crime prevention strategies. Learners will leave with the skills to evaluate crime scenes, profile offenders, and understand the workings of the criminal justice system. The course offers an essential foundation for anyone seeking to work in criminology or forensic psychology, equipping them with the expertise to support law enforcement agencies and legal professionals. Course Description This course delves into various facets of criminology, with modules covering the classification of crime, violent crimes, criminal psychology, and the forensic science used in profiling offenders. It explores offender profiling, the phases of profiling, and investigative strategies that draw from behavioural science. Learners will examine crime scenes, develop an understanding of victimology, and explore the roles within the criminal justice system. Through this structured curriculum, learners will develop skills to identify criminal behaviour, understand criminal motivation, and apply profiling techniques to real-world cases. The course is designed to equip learners with a strong theoretical foundation, complemented by an understanding of practical approaches in criminology and profiling. Course Modules Module 01: Introduction to Criminology and Profiling Module 02: Classification of Crime Module 03: Violent Crimes Module 04: The Crime Scene Module 05: Dealing with Crime Module 06: Understanding Criminal Psychology Module 07: Forensic Science Module 08: Phases of Profiling Module 09: Criminal Profiling: Science, Logic and Metacognition Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 11: Victimology Module 12: The Criminal Justice System in England and Wales (See full curriculum) Who is this course for? Individuals seeking to understand criminal behaviour and profiling techniques. Professionals aiming to advance their career in criminology or forensic psychology. Beginners with an interest in criminology, criminal justice, or psychology. Those interested in law enforcement and criminal investigation. Career Path Criminologist Criminal Profiler Forensic Psychologist Police Detective Criminal Justice Researcher Victim Support Specialist Legal Consultant Crime Analyst

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist

Course Overview This course, "Logo Animation Fundamentals," provides a comprehensive introduction to the essential concepts of logo animation. It covers the tools, techniques, and principles needed to create impactful animated logos. Learners will explore animation software, with a focus on the use of effects to bring logos to life, making them engaging and visually striking. By the end of the course, learners will be able to produce high-quality logo animations that can enhance branding efforts across digital platforms. The course also offers valuable insights into industry practices, enabling learners to develop a solid foundation in this creative field. Course Description In this course, learners will delve into the basics of logo animation, starting with an understanding of the key principles of animation. They will explore the process of animating logos using advanced tools such as Adobe After Effects and the Saber plugin. The course also covers the history and evolution of animation, providing context to its current use in modern branding. With each module, learners will enhance their skills in design and animation, enabling them to create dynamic and professional logo animations. This course is ideal for those who wish to incorporate animation into branding or add this valuable skill to their creative toolkit. Learners will gain a thorough understanding of logo animation techniques and develop a portfolio-ready project. Course Modules: Module 01: Introduction Overview of logo animation Importance of logo animation in branding Module 02: Logo Animation Basic principles of animation Tools for animating logos Exploring different animation styles Module 03: Logo Animation Using Saber Introduction to the Saber plugin Step-by-step guide to creating glowing logo effects Integrating advanced effects into logo animation Module 04: Background of Animation The history and evolution of animation The role of animation in modern media Module 05: Outro Key takeaways and next steps for further learning Final thoughts and project wrap-up (See full curriculum) Who is this course for? Individuals seeking to enhance their branding skills with animation. Professionals aiming to expand their expertise in motion graphics and design. Beginners with an interest in animation and digital design. Marketing and branding specialists looking to integrate animated logos into campaigns. Career Path Motion Graphic Designer Animation Specialist Branding Consultant Visual Designer Digital Marketing Professional

Course Overview The "Microsoft Excel Complete Course" is designed to equip learners with the essential skills to master Microsoft Excel, one of the most widely used tools in data analysis and business operations. This course covers a comprehensive range of topics, including Excel's new features, formula creation, data visualisation, and workbook management. It offers practical knowledge that will help learners work more efficiently, whether they are managing large datasets, analysing trends, or presenting information. By the end of this course, learners will be confident in using Excel for various business tasks, gaining a strong foundation for further professional development. Course Description This course covers all key aspects of Microsoft Excel, from the basics to advanced techniques. Learners will explore Excel’s new features in the 2019 version, as well as how to perform calculations, modify worksheets, and apply formatting. The course delves into functions, lists, and data analysis tools, including PivotTables and charts. Learners will also learn how to work with multiple worksheets and workbooks, use lookup functions, and automate workbook functionality. With a focus on essential Excel tools and techniques, learners will gain the ability to efficiently manage and analyse data for business or personal use. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Office Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Working with Functions Module 09: Working with Lists Module 10: Analyzing Data Module 11: Visualizing Data with Charts Module 12: Using PivotTables and PivotCharts Module 13: Working with Multiple Worksheets and Workbooks Module 14: Using Lookup Functions and Formula Auditing Module 15: Sharing and Protecting Workbooks Module 16: Automating Workbook Functionality Module 17: Creating Sparklines and Mapping Data Module 18: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to improve their data management and analysis skills. Professionals aiming to enhance their productivity in Excel for business applications. Beginners with an interest in data analysis or office administration. Anyone looking to build a strong foundation in Excel for career advancement. Career Path Data Analyst Financial Analyst Office Administrator Project Manager Business Analyst Operations Manager Administrative Assistant HR Specialist

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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.

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students will need to be familiar with using personal computers and should have experience using a keyboard and mouse. Students should also be comfortable working in the Windows 10 environment and be able to manage information on their computers. Overview Upon successful completion of this course, you will be able to understand how Office 365 might be used to increase productivity and collaboration within your organization. This course is intended for students who wish to be introduced to Office 365. This course aims to provide an overview of 365, its applications and tools. Getting Started with Office 365 An Introduction to Office 365 Navigate the Online User Interface Your Account, Personal Profile, Apps Use Help Personal Communications Outlook, Calendar and People Outlook Online Essentials Online Calendar Essentials People Online Essentials Information and File Sharing OneDrive for Business Overview SharePoint Online Overview Creating and Co-authoring using Online Apps Team Communications Skype for Business Yammer

Duration 0.625 Days 3.75 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge of Windows 10 and Microsoft Office. Course Outline Introduction to the Windows 10 Desktop Managing Files and Folders in Windows 10 Word 2016 Ribbon and Navigation Excel 2016 Ribbon and Navigation PowerPoint 2016 Ribbon and Navigation Outlook 2016 Email/Calendar/Contacts Basics (lecture/demo only)