5706 Courses in Cardiff delivered Online

Javascript for Data Structures Course Overview This course, JavaScript for Data Structures, offers a comprehensive introduction to fundamental data structures using JavaScript. Learners will explore core concepts such as lists, stacks, queues, and sets, gaining a solid understanding of how data is organised and managed in programming. The course emphasises clear, logical thinking and problem-solving skills applicable to software development, data analysis, and computer science. By the end, participants will be able to implement key data structures effectively, enhancing their coding proficiency and preparing them for more advanced programming challenges or career opportunities in technology-related fields. Course Description This course delves into essential data structures within JavaScript, providing detailed coverage of lists, stacks, queues, and sets. Learners will study how these structures operate, their use cases, and how to manipulate them efficiently in code. The curriculum is designed to develop both theoretical understanding and coding ability through structured explanations and examples. Throughout the course, students will develop skills in data organisation, algorithmic thinking, and memory management principles. This knowledge is critical for writing optimised code and tackling complex computational problems in software development and data science domains. Javascript for Data Structures Curriculum Module 01: Introduction Module 02: Essential Concepts Module 03: List Data Structure Module 04: Stack Data Structure Module 05: Queue Data Structure Module 06: Set Data Structure Module 07: Final Thought (See full curriculum) Who Is This Course For? Individuals seeking to build strong foundations in data structures using JavaScript. Professionals aiming to enhance their software development skills. Beginners with an interest in programming and computer science. Students preparing for technical roles in coding or data analysis. Career Path Software Developer Front-End Developer Data Analyst Junior Programmer Computer Science Student

Intermediate Solidworks Course Overview This Intermediate SolidWorks course is designed for individuals looking to deepen their knowledge of CAD and 3D modelling. With an emphasis on advanced part and assembly modelling techniques, this course offers learners the opportunity to refine their skills and become proficient in SolidWorks. By completing this course, learners will gain a solid understanding of complex modelling strategies, design tables, and advanced configurations. They will also develop the ability to manage assemblies efficiently and implement best practices for higher-level design work. Whether you are looking to improve your technical capabilities or move into more advanced roles, this course will provide the foundation for future success in design and engineering. Course Description The Intermediate SolidWorks course dives deep into advanced techniques for part and assembly modelling. Key topics include mastering design tables, configurations, and exploring sophisticated methods to build complex parts. Learners will explore a range of modelling tools that enhance efficiency and accuracy in creating intricate 3D models. The course also covers assembly management, enabling learners to handle large-scale projects effectively. By the end of the course, learners will be equipped with the skills to confidently tackle intermediate-level SolidWorks challenges. This course is ideal for those looking to enhance their CAD proficiency and prepare for more advanced technical roles. Intermediate Solidworks Course Curriculum Module 01: Part Modeling Advanced Techniques- Part 1 Module 02: Part Modeling Advanced Techniques- Part 2 Module 03: Design Table and Configurations Module 04: Assembly Advanced Techniques- Part 1 Module 05: Assembly Advanced Techniques- Part 2 (See full curriculum) Who is this course for? Individuals seeking to expand their 3D modelling skills Professionals aiming to enhance their CAD expertise Beginners with an interest in computer-aided design Designers and engineers looking to improve their technical knowledge Career Path CAD Designer Mechanical Engineer Design Engineer Product Development Specialist Manufacturing Engineer SolidWorks Specialist

20 Keys for Happy Life Course Overview "20 Keys for a Happy Life" is a transformative course designed to empower learners with essential strategies for cultivating happiness and well-being. This course dives into the key principles that contribute to a fulfilling life, providing practical techniques for improving mental health, building stronger relationships, and achieving personal contentment. Whether you're looking to enhance your daily life or make lasting changes, this course offers actionable insights that can be incorporated into your routine, fostering a more balanced, joyful existence. Learners will walk away with a clear understanding of how to achieve lasting happiness and navigate challenges with resilience. Course Description In "20 Keys for a Happy Life," learners will explore the crucial elements that contribute to lasting happiness. The course delves into a variety of topics, such as self-awareness, positive thinking, mindfulness, and personal growth. Each section is designed to encourage learners to reflect on their current habits and mindset, equipping them with the tools necessary for making meaningful changes. Throughout the course, participants will develop practical skills for fostering emotional well-being, improving relationships, and maintaining a positive outlook, all rooted in evidence-based strategies. The course's flexible format allows learners to engage at their own pace, making it suitable for a wide range of personal and professional development goals. 20 Keys for Happy Life Curriculum Module 01: Introduction Module 02: Key to Happiness Module 03: End (See full curriculum) Who is this course for? Individuals seeking to enhance their personal happiness and well-being Professionals aiming to improve mental resilience and work-life balance Beginners with an interest in self-improvement and personal development Anyone looking for practical guidance to foster positive change in their lives Career Path Personal development coach Mental health and well-being consultant Employee well-being coordinator Wellness trainer Happiness and life coach

🚀 Elevate your career with the AML Analyst: 8-in-1 Premium Online Courses Bundle—designed for those aiming to break into or advance within the financial compliance and analysis sectors. This bundle combines the essential skills you need to stand out as an AML analyst, focusing on vital areas such as Excel, Crisis Management, Data Analysis, Purchase Ledger, Tax, Paralegal skills, AML expertise, and Financial Analysis. The demand for AML Analysts is skyrocketing across finance, banking, legal, and regulatory industries. This bundle harnesses the power of Excel, a staple in financial roles, alongside Data Analysis and Financial Analysis to give you a competitive edge. Navigating Tax laws, managing the Purchase Ledger, and applying Paralegal knowledge ensures you’re prepared for diverse AML challenges. Plus, mastering Crisis Management and AML fundamentals equips you to protect organizations in volatile environments. ⏰ Don’t miss out — job openings for AML Analysts are increasing, and employers seek candidates who come fully prepared with these critical skills. This bundle gives you value-for-money access to eight in-demand courses tailored to make you hireable NOW. Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot — trust us to deliver quality and career-ready training. Description In today’s fast-paced finance and legal sectors, being proficient in Excel is non-negotiable. This bundle ensures you use Excel to its fullest, underpinning your ability to manage data, budgets, and reports effectively. Combine that with top-notch Data Analysis skills that employers demand, and you’ll stand out in roles requiring deep financial insights. Handling the Purchase Ledger and understanding Tax implications are critical for AML Analysts working closely with finance departments. The ability to navigate Tax rules and maintain a comprehensive Purchase Ledger adds huge value in preventing financial discrepancies and detecting fraudulent transactions. A solid grasp of Paralegal knowledge sharpens your understanding of compliance, legal procedures, and documentation crucial in AML roles. The AML course itself delves into Anti-Money Laundering principles, helping you detect and report suspicious activities with confidence. Financial Analysis ties all these skills together, enabling you to interpret financial data critically and contribute to strategic decision-making. When unexpected situations arise, your Crisis Management skills will keep you calm and effective, turning potential threats into manageable scenarios. This bundle is ideal for finance professionals, compliance officers, legal assistants, and anyone wanting to upskill for the lucrative AML Analyst job market. With the complete package of Excel, Crisis Management, Data Analysis, Purchase Ledger, Tax, Paralegal, AML, and Financial Analysis, you’re not just learning—you’re investing in your future career. FAQ Q: How will these courses help me become an AML Analyst? A: Each course is selected to build your expertise in key AML Analyst skills like data management with Excel, legal and compliance understanding via Paralegal and AML courses, financial operations through Purchase Ledger and Tax, analytical skills with Data Analysis and Financial Analysis, and readiness for unexpected situations through Crisis Management. Q: Do I need prior experience in any course topics? A: No prior experience is required. The bundle is designed for beginners and professionals alike to develop job-ready skills quickly and effectively. Q: Can I access the courses anytime? A: Yes! The bundle is fully online with lifetime access, so you can study at your own pace. Q: How do these courses improve my job prospects? A: Employers in finance, legal, and compliance sectors highly value skills in Excel, Data Analysis, AML, and Financial Analysis. Completing this bundle equips you with verified skills and knowledge, making you a more competitive hire. Q: Is there any certification? A: Yes, you will receive certificates for each course upon completion, showcasing your mastery of essential AML Analyst skills. Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot — join thousands of satisfied learners who have boosted their careers!

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions 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 AWS Developing Serverless Solutions 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.

The aim of this programme is to help attendees create better quality technical documents in an organised and efficient manner. It will give those new to the topic an appreciation of how to approach the task professionally whilst those with more experience will be able to refresh and refine their skills. The programme comprises three complementary one-day modules: The programme presents a structured methodology for creating technical documents and provides a range of practical techniques that help delegates put principles into practice. Although not essential, it is strongly advised that delegates for modules 2 and 3 have already attended module 1, or another equivalent course. Note: the content of each module as shown here is purely indicative and can be adapted to suit your particular requirements. This course will: Explain the qualities and benefits of well written technical documents Present a structured approach for producing technical documents Review the essential skills of effective technical writing Demonstrate practical methods to help create better documents Provide tools and techniques for specification and report writing Review how technical documents should be issued and controlled Note: the content of each module as shown here is purely indicative and can be adapted to suit your particular requirements. Module 1: Essential skills for technical writers 1 Introduction to the programme Aims and objectives of the module Introductions and interests of participants 2 Creating effective technical documents What is technical writing? how does it differ from other writing? Key qualities of an effective technical document Communication essentials and the challenges faced by technical writers The lessons of experience: how the best writers write The five key steps : prepare - organise - write - edit - release (POWER) 3 Preparing to write Defining the document aims and objectives; choosing the title Understanding technical readers and their needs Getting organised; planning and managing the process Integrating technical and commercial elements The role of intellectual property rights (IPR), eg, copyright 4 Organising the content The vital role of structure in technical documents Deciding what to include and how to organise the information Categorising information: introductory, key and supporting Tools and techniques for scoping and structuring the document Creating and using document templates - pro's and con's 5 Writing the document Avoiding 'blinding them with science': the qualities of clear writing Problem words and words that confuse; building and using a glossary Using sentence structure and punctuation to best effect Understanding the impact of style, format and appearance Avoiding common causes of ambiguity; being concise and ensuring clarity Using diagrams and other graphics; avoiding potential pitfalls 6 Editing and releasing the document Why editing is difficult; developing a personal editing strategy Some useful editing tools and techniques Key requirements for document issue and control Module 2: Creating better specifications 1 Introduction Aims and objectives of the day Introductions and interests of participants The 'POWER' writing process for specifications 2 Creating better specifications The role and characteristics of an effective specification Specifications and contracts; the legal role of specifications Deciding how to specify; understanding functional and design requirements Developing the specification design; applying the principles of BS 7373 Getting organised: the key stages in compiling an effective specification 3 Preparing to write a specification Defining the scope of the specification; deciding what to include and what not Scoping techniques: scope maps, check lists, structured brainstorming The why/what/how pyramid; establishing and understanding requirements Clarifying priorities; separating needs and desires: the MoSCoW method Useful quantitative techniques: cost benefit analysis, QFD, Pareto analysis Dealing with requirements that are difficult to quantify 4 Organising the content The role of structure in specifications Typical contents and layout for a specification What goes where: introductory, key and supporting sections Creating and using model forms: the sections and sub sections Detailed contents of each sub-section Exercise: applying the tools and techniques 5 Writing the specification Identifying and understanding the specification reader Key words: will, shall, must; building and using a glossary Writing performance targets that are clear and unambiguous Choosing and using graphics Exercise: writing a specification 6 Editing and releasing the document Key editing issues for specifications Issue and control of specifications Module 3: Writing better reports 1 Introduction Aims and objectives of the day Introductions and interests of participants The 'POWER' technical writing process for technical reports 2 Creating better reports What is a technical report? types and formats of report The role and characteristics of an effective technical report Understanding technical report readers and their needs The commercial role and impact of technical reports Getting organised: the key stages in compiling a technical report 3 Preparing to write reports Agreeing the terms of reference; defining aims and objectives Being clear about constraints; defining what is not to be included Legal aspects and intellectual property rights (IPR) for reports Preparing the ground; gathering information and reference documents Keeping track of information: note making, cataloguing and cross referencing Tools and techniques for developing a valid and convincing argument 4 Organising the content The role of structure reviewed; some typical report structures Who needs what: identifying the varied needs of the readership What goes where: introductory, key and supporting sections Creating and using model forms: the sections and sub sections Detailed contents of each sub-section Exercise: applying the tools and techniques 5 Writing the report Planning the storyline: the report as a journey in understanding Recognising assumptions about the reader; what they do and don't know Converting complex concepts into understandable statements Presenting technical data and its analysis; the role of graphics Presenting the case simply whilst maintaining technical integrity Exercise: writing a technical report 6 Editing and releasing the report Key editing issues for technical reports Issue and control of technical reports

The Warehouse & Logistics Course provides a thorough understanding of the logistics industry, focusing on the key processes that keep goods flowing smoothly from one point to another. With a focus on efficiency, organisation, and safety, this course introduces learners to the fundamentals of warehouse management, inventory control, transportation, and supply chain operations. Designed to give you the knowledge needed to operate confidently in this fast-paced field, it offers insight into effective strategies for managing stock, optimising warehouse layouts, and ensuring compliance with safety regulations. As the demand for logistics professionals continues to grow, this course offers an excellent opportunity to develop the expertise required for a range of roles in warehouse operations and logistics management. Whether you are looking to advance your career or simply gain a deeper understanding of how the logistics industry operates, this course offers a solid foundation. With up-to-date knowledge of industry trends and practices, you’ll be ready to tackle the challenges that come with the constantly evolving world of warehousing and logistics. Get ready to enhance your understanding and prepare for a future in a high-demand sector. This bundle includes the following courses: Course 01: Warehouse Operative Course 02: Transport And Logistic Key Features Accredited by CPD Instant e-certificate Fully online, interactive Warehouse & Logistics course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Enrol now in this Warehouse & Logistics course to excel! How You will be Benefited from Warehouse & Logistics Bundle All through this self-paced training, you will get engaging learning materials and acquire the necessary knowledge to work with various concepts to gain a competitive advantage in the employment market. Accreditation All of our courses included in this Warehouse & Logistics bundle are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Warehouse & Logistics course, you will immediately be sent digital certificates for the bundle courses. Who is this course for? Anyone with a knack for learning new skills can take this Warehouse & Logistics bundle. Requirements There are no formal requirements for this bundle courses to be enrolled. Career path This Warehouse & Logistics bundle of courses will help you to uplift your career. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

Managing operations from a distance demands a sharp blend of leadership, organisation, and technical insight. This course is designed to refine your ability to oversee shift activities effectively, ensuring smooth workflows and clear communication across remote teams. From handling unexpected challenges to coordinating resources and maintaining productivity, you’ll gain a solid grasp of the essentials that keep operations running seamlessly, even when the team isn’t in the same room. Through carefully structured modules, the course navigates the unique dynamics of remote shift management, focusing on strategic decision-making, team motivation, and the art of maintaining operational rhythm without physical proximity. Ideal for professionals looking to enhance their managerial toolkit, this course prepares you to confidently lead remote shifts with a blend of sharp attention to detail and adaptive leadership, all while maintaining a steady flow of operations and clear lines of communication. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Introduction to Operations Management Module 02: Project Management Module 03: Business Development and Succession Planning Module 04: Process Management Module 05: Supply Chain Management Module 06: Planning & Forecasting Operations Module 07: Procurement & Purchasing Management Module 08: Manufacturing & Delivery Operations Module 09: Quality Management Module 10: Managing Risk and Recovery Module 11: Performance Management Module 12: Talent Management Module 13: Communication Skills Module 14: Negotiation Techniques Module 15: Conflict Management Module 16: Stress Management Module 17: Time Management Module 18: Business Environment Module 19: Business Writing Skills Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Remote Operations Shift Manager training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Remote Operations Shift Manager training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00