8296 Courses

Unlock the full potential of your coding career with The Complete Python Course Mini Bundle. With job-readiness built into every component, this bundle combines the powerhouse that is Python with key supporting skills like Go Lang, IT, PHP, and HTML—a lineup designed to get you hired, fast. Whether you're pursuing full-time dev roles or freelance work, this bundle is your shortcut to marketable expertise. Description The modern job market favors developers who can do more than just one thing well. That’s why this bundle puts Python at the center of your skillset. Python is used in everything from web applications to AI, making it one of the most employable languages today. With Python alone, you’re opening doors across industries. To complement that, Go Lang offers the kind of backend performance that companies love. Learning Go Lang alongside Python gives you rare versatility—especially valuable in startups and high-scale environments where Go Lang is often favored for APIs and microservices. Technology doesn’t exist in a vacuum, and that’s why IT fundamentals are embedded in the bundle. Employers value professionals who understand infrastructure and security alongside code. With IT skills, you position yourself as a well-rounded developer ready to handle real-world systems. PHP continues to power a significant portion of the web. While newer languages have emerged, companies still rely on PHP for everything from CMS management to ecommerce. Pairing PHP with Python increases your hiring chances significantly—especially in legacy environments and full-stack development roles. Finally, HTML is essential. It’s the foundation of everything visual on the web. Mastering HTML means your Python and PHP backends can come alive in real-world applications. It also ensures your Go Lang microservices integrate smoothly into user-facing platforms. The takeaway? Combining Python, Go Lang, IT, PHP, and HTML sets you apart as a true generalist developer—highly employable, highly adaptable. FAQ Q: What kind of roles can this bundle help me land? A: Full-Stack Developer, Backend Engineer, Junior DevOps, CMS Developer, and IT Support roles frequently require skills in Python, Go Lang, IT, PHP, and HTML. Q: Is this bundle beginner-friendly? A: Absolutely. Even without prior experience, you can build solid foundations in Python, Go Lang, IT, PHP, and HTML, and begin applying for roles that value adaptable learners. Q: Why is this bundle a smart career move right now? A: The demand for professionals with combined Python, Go Lang, IT, PHP, and HTML experience is surging. Bundling these together saves time, increases your value, and gives you a competitive edge—all in one place.

If you're aiming for a high-impact career in finance, there's one thing hiring managers care about more than your degree—your skills. The Finance and Investment Banking Mini Bundle is designed to bridge the gap between aspiration and employment, giving you a competitive edge in the world of banking, finance, and financial analysis. Combine that with hands-on tools like Ms Excel and Sage, and you’re not just ready—you’re irresistible to employers. Today’s employers want job-ready professionals who can hit the ground running. With banking, finance, financial analysis, Ms Excel, and Sage in your toolkit, you’re not just employable—you’re unignorable. Description The modern job market is ruthless, and nowhere is that more evident than in banking and finance. Whether you’re applying for a junior analyst position or gunning for a promotion, the right skills can change your entire trajectory. The Finance and Investment Banking Mini Bundle gives you precisely that edge—with a curated focus on real-world applicability. In fast-paced financial environments, Ms Excel proficiency is now a baseline, not a bonus. Pair that with practical knowledge of Sage, and you show employers that you're ready to manage accounts, analyze reports, and make decisions that matter. Add in the must-have trio of banking, finance, and financial analysis, and your CV begins to speak for itself. This bundle isn’t just useful—it’s essential. Across roles in investment firms, corporate finance teams, accounting departments, fintech startups, and beyond, employers are demanding fluency in Ms Excel, familiarity with Sage, and a sharp mind for financial analysis. Don’t get left behind. You know what they want—give it to them. FAQ What industries value this bundle? This bundle is perfect for job seekers entering banking, finance, consulting, asset management, fintech, and accounting. Employers in these sectors are actively looking for candidates who understand financial analysis, are fluent in Ms Excel, and can operate tools like Sage from day one. Why are these specific skills important? Because they’re not optional. Banking firms demand financial literacy. Finance teams expect data fluency. And financial analysis roles prioritize critical thinking with numbers. Ms Excel and Sage? Those are your power tools—without them, you’re invisible. Is this bundle beginner-friendly? Absolutely. Whether you’re switching careers or starting out, this bundle was built for job readiness. Even if your banking or finance background is limited, the focus on practical applications of financial analysis, Ms Excel, and Sage means you’ll quickly level up—and become job-market ready.

If you’re serious about working with animals, the Animal Science Mini Bundle is the edge your CV needs. Designed for those targeting jobs in veterinary practice, lab roles, or pet-focused businesses, this bundle covers Animal Care, Biology, Chemistry, Dog Grooming, and Veterinary Assistant skills—all in one job-ready package. Don’t just hope to break into Animal Care or Veterinary Assistant roles—make it happen. Biology and Chemistry roles tied to animal health are growing fast, and Dog Grooming remains a high-demand, low-saturation industry. This is your one chance to gain all five skills before the market catches up. Description The Animal Science Mini Bundle brings together the fields that employers in animal health and pet services look for: Animal Care, Biology, Chemistry, Dog Grooming, and Veterinary Assistant fundamentals. Whether you’re eyeing an entry-level Veterinary Assistant role, a Dog Grooming business, or want to move into Biology or Chemistry-based lab roles in animal science, this bundle gives you five-in-one access to jobs worth applying for. Animal Care skills are a baseline across kennels, rescue centres, and veterinary surgeries. Dog Grooming is booming with private clients and mobile services. Biology and Chemistry experts are sought after in medical research, animal nutrition, and pharmacology. And Veterinary Assistant roles consistently appear on hiring boards. The value? Unmatched. With each of the five core disciplines—Animal Care, Biology, Chemistry, Dog Grooming, Veterinary Assistant—you gain visibility across at least three industries: veterinary, research, and grooming. Whether you're starting your journey or expanding your options, now is the time to jump in. Don’t let a hiring manager pass you over—this bundle helps them notice you. FAQ Q: Is this bundle beginner-friendly? A: Yes. Whether you’re new to Animal Care or exploring Chemistry and Biology as it relates to animals, it suits all levels. Q: What jobs will this help me qualify for? A: Veterinary Assistant, Animal Care Technician, Dog Groomer, Biology Lab Assistant, Chemistry Assistant in pet health sectors. Q: Is Dog Grooming a viable career? A: Absolutely. Dog Grooming is both an in-demand job and a freelance-friendly business opportunity. Q: Does it include lab sciences? A: Yes. Both Biology and Chemistry make this ideal for those seeking scientific roles in animal health. Q: Why include Animal Care and Veterinary Assistant together? A: Because many Veterinary Assistant roles require proven Animal Care competence. This bundle covers both. Q: Can I use this for freelance or mobile work? A: Dog Grooming and Animal Care offer perfect foundations for self-employed services.

Fused glass courses & workshops in the heart of Cheshire. Create your own unique fused glass wall panels, they can be split into 2 panels or work on 2 vessels if you prefer.

With us, learn Classic, Hybrid & volume lashes (with pre made fans) unlike other training academy's! FULL KIT INCLUDED!  Suitable for: Complete beginners Models: 1 live model during training day Whats Covered:  Introduction to eyelash extensions Health & safety & hygiene Skin analysis Anatomy of the eye Lash mites Hair growth & anatomy Check list Styles of lashes What effects lashes Contraindications Pre/post treatment advice Equipment and products Consultation Application Removal Trouble shooting And so much more! Course extras:  Basic business start up support Social media tips Ongoing support Lifetime aftercare

The RYA Start Yachting course is designed to give a taste of sailing over two days and nights and requires no previous experience. The course is for beginners who are interested in sailing. Our experienced instructors will guide you through health and safety and make sure that you are comfortable. We can advise on clothing for the trip too. You will live on board one of our yachts for the weekend, with up to four other crew members plus the instructor. There will be a mixture of experience which means that there will be other crew members who can give you a helping hand. Cooking will be shared between the crew to add to the experience. By the end of the weekend you will have learnt how to steer a course, handle the lines, tie knots - and, most importantly, find out if you have a natural talent or just love sailing!

This comprehensive online interior design course includes 12 self study modules, and weekly 1:1 telephone and or video consultations. I will personally guide and inspire you through your creative learning journey.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for beginner to intermediate business and requirements analysts who are looking to improve their elicitation and requirements writing and documentation skills. This course is also a great fit for technical writers, product and software testers, project managers, product owners who work closely with business analysts or who perform some for of business analysis themselves. Overview Understand the role of the business analyst and core competencies for performing successfully Discuss the criticality of business analysis and requirements for successful project outcomes Understand the main professional associations and standards supporting business analysts in the industry Discuss the common problems with requirements and explore approaches to address these issues Obtain a clear understanding of the various requirements types and the significance for eliciting each type Demonstrate your ability to identify stakeholders Explore various methods for understanding and analyzing stakeholders Discuss and apply good planning practices to requirements elicitation efforts Obtain knowledge and understanding of over 15 current and commonly applied elicitation techniques Understand how to progress from elicitation to analysis to documentation Write well-formed and validated requirements Gain understanding of the best practices for writing quality requirements Learn the technical writing techniques that apply directly to writing requirements documents Discuss writing pitfalls, risks that impact requirements, and how to address them Learn best practices for communicating and collaborating with stakeholders, sharing the results of elicitation and the resulting documentation Learn approaches for validating requirements Understand the difference between validating requirements and validating the solution With elicitation serving as a major component of the requirements process, it is imperative that business analysts maintain high competency levels in elicitation practices and technique use to help organizations overcome the requirements related challenges faced on projects. Regardless whether you are a practitioner just starting off your career in business analysis or whether you have been performing the role for some years, this course will provide insight into the latest thoughts on elicitation and writing effective requirements and present a number of current techniques that are being applied on projects across industries today. Review of Foundational Concepts Definition of a business analysis Definition of business analyst BA role vs. PM role Business analysis competencies Benefits of business analysis Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis core concepts Discussion: Project challenges Understanding Requirements Common problems with requirements Understand the problem first Define the business need Situation statements and moving to requirements Understanding requirement types Business requirements Stakeholder/User Requirements Solution Requirements Functional Requirements Non-Functional Requirements Assumptions and Constraints Discussions: Requirement problems, business needs, and identifying non-functional requirements Discovering Stakeholders Definition of a stakeholder Stakeholder types Identifying stakeholders Performing stakeholder analysis Stakeholders and requirements Tips for identifying stakeholders Grouping stakeholders Creating a RACI model Tips for analyzing stakeholders Documenting results of stakeholder analysis Workshop: Discovering stakeholders Preparing for Requirements Elicitation Planning for elicitation Benefits of elicitation planning What do you plan? The elicitation plan Setting objectives for elicitation Determining the scope for elicitation Establishing pre-work Determining the outputs for the session The iterative nature of elicitation Elicitation roles Elicitation planning techniques Discussions: Who to involve in elicitation, planning impacts, and unplanned elicitation Workshop: Planning for elicitation Conduct Requirements Elicitation Elicitation skillset Types of elicitation techniques Using active listening in elicitation Techniques for performing elicitation Benchmarking/Market Analysis Brainstorming Business Rules Analysis Collaborative Games Concept Modeling Data Mining Data Modeling Document Analysis Focus Groups Interface Analysis Interviews Observation Process Modeling Prototyping Survey or Questionnaire Workshops Write Effective Requirements Elicitation and Analysis Requirements related issues Implications of bad requirements Elicitation and documentation Writing skillset Documenting requirements Modeling requirements Defining the project life cycle Impact of project life cycle on documentation Requirements specifications Characteristics of good requirements Guidelines for writing textual requirements Structuring a requirement Writing pitfalls Traceability Requirements attributes Risks associated to requirements Discussions: Project Life Cycle and Correcting Poorly Written Requirements Workshops: Documenting Requirements and Identify Characteristics of Good Requirements Confirm and Communicate Elicitation Requirements Business analysis communication Requirements communication Communication skills The 7 Cs Timing of communication Planning communication Importance of Collaboration Planning collaboration Documenting communication/collaboration needs Confirming elicitation results Verify requirements Characteristics of good requirements (revisited) Requirements checklist Requirements validation Signing off on requirements Discussions: Responsibility for Communication, Eliciting Communication Needs, Validation Signoff Workshops: Communicating Requirements and Obtaining Signoff Evaluate the Solution Business analyst role in solution evaluation Why solutions under perform What we are looking for in solution evaluation When does solution evaluation occur Performing solution evaluation Planning solution evaluation Metrics that might exist Evaluating long term performance Qualitative vs. quantitative measures Tools & techniques used in solution evaluation Comparing expected to actuals When solution evaluation discovers a variance Tools/techniques for analyzing variances Proposing a recommendation Communicating results of solution evaluation Discussion: Addressing Variance Wrap up and Next Steps Useful books and links on writing effective requirements BABOK© Guide Business Analysis for Practitioners: A Practice Guide Additional course details: Nexus Humans BA04 - Eliciting and Writing Effective Requirements 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 BA04 - Eliciting and Writing Effective Requirements 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.

R isn’t just for statisticians hiding behind graphs — it’s a powerful tool for machine learning, and this course shows you exactly how to put it to work. Designed for curious minds with an interest in data prediction, modelling, and pattern recognition, this course guides you through the essentials of machine learning using R. You’ll explore key techniques like classification, regression, and clustering, all explained in plain English (with just the right amount of code). If you’ve ever wondered how machines “learn” from data — without trying to make them smarter than your laptop needs to be — this course breaks it down with clear logic and no unnecessary flair. Study entirely online, at your own pace, with structured content focused on helping you understand how algorithms behave, why they do what they do, and how to make them behave a little better. Whether you're dipping your toes or deepening your skills, it’s all here, minus the fluff and drama. Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. ⊱⊱ Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.