5686 Computing & IT courses in Bonhill delivered Online

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 3 Days 18 CPD hours This course is intended for This course is for technical professionals to gain skills in writing rules for Snort-based Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). The primary audience includes: Security administrators Security consultants Network administrators System engineers Technical support personnel using open source IDS and IPS Channel partners and resellers Overview After taking this course, you should be able to: Describe the Snort rule development process Describe the Snort basic rule syntax and usage Describe how traffic is processed by Snort Describe several advanced rule options used by Snort Describe OpenAppID features and functionality Describe how to monitor the performance of Snort and how to tune rules The Securing Cisco Networks with Snort Rule Writing Best Practices (SSFRules) v2.1 course shows you how to write rules for Snort, an open-source intrusion detection and prevention system. Through a combination of expert-instruction and hands-on practice, this course provides you with the knowledge and skills to develop and test custom rules, standard and advanced rules-writing techniques, how to integrate OpenAppID into rules, rules filtering, rules tuning, and more. The hands-on labs give you practice in creating and testing Snort rules. Course Outline Introduction to Snort Rule Development Snort Rule Syntax and Usage Traffic Flow Through Snort Rules Advanced Rule Options OpenAppID Detection Tuning Snort

Duration 2 Days 12 CPD hours This course is intended for Software Test Engineers and Test Leaders with minimum two years of experience. Specialists who have experience in software testing and want to deepen both their theoretical and practical knowledge. Overview Please refer to Overview. Practical training that you will learn how to apply additional tools in your work which will help you to optimize it. You will be able to analyze requirements better and to prioritize your tasks. Requirements analysis Effective approaches in requirements analyze What does 'Good Requirement' mean? Change Management Subsystems and actors Practice - Analysis of an actual functional specification Applicable Models and Priorities Specifications of the extraordinary models software projects Prioritizing the tasks of the test team Practice case - Iteration and sprint specifications Test planning Test design approaches Applicable techniques Practice cases with different techniques Defects management Defect status management Applicable metrics Best practices Practical examples of extraordinary applications Additional course details: Nexus Humans Modern approaches and practical tips in software testing 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 Modern approaches and practical tips in software testing 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 3 Days 18 CPD hours This course is intended for This advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 3 Days 18 CPD hours This course is intended for Information System Owners Analysts Ethical Hackers ISSOs Cyber Security Managers IT Engineers Overview Upon completion, the Certified Vulnerability Assessor candidate will be able to competently take the exam. This course provides a solid understanding of the tools an IT engineer needs to review an Information System. In this course, you will learn the importance of vulnerability assessments and how they are used to prevent serious cyber break-ins. Lessons include understanding malware and viruses and how they can infiltrate an organization?s network. After you take this course, you will be able to assess a company?s security posture and perform a basic vulnerability test.ÿPlus, you will be able to generate reports to guide new security implementation. Course Outline Why Vulnerability Assessment Vulnerability Types Assessing the Network Assessing Web Servers and Applications Assessing Remote and VPN Services Vulnerability Assessments & Tools of the Trade Output Analysis

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies. Overview In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will: Describe general concepts, theories, and challenges related to ethics and emerging technologies. Identify ethical risks. Practice ethical reasoning. Identify and mitigate safety and security risks. Identify and mitigate privacy risks. Identify and mitigate fairness and bias risks. Identify and mitigate transparency and explainability risks. Identify and mitigate accountability risks. Build an ethical organization. Develop ethical systems in technology-focused organizations. Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations. Introduction to Ethics of Emerging Technologies Topic A: What?s at Stake Topic B: Ethics and Why It Matters Topic C: Ethical Decision-Making in Practice Topic D: Causes of Ethical Failures Identifying Ethical Risks Topic A: Ethical Reasons Topic B: Stumbling Blocks for Ethical Reasoning Topic C: Identify Ethical Risks in Product Development Topic D: Tools for Identifying Ethical Risks Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks Ethical Reasoning in Practice Topic A: Ethical Theories Topic B: Use Ethical Decision-Making Frameworks Topic C: Select Options for Action Topic D: Avoid Problems in Ethical Decision-Making Identifying and Mitigating Security Risks Topic A: What Is Security? Topic B: Identify Security Risks Topic C: Security Tradeoffs Topic D: Mitigate Security Risks Identifying and Mitigating Privacy Risks Topic A: What Is Privacy? Topic B: Identify Privacy Risks Topic C: Privacy Tradeoffs Topic D: Mitigate Privacy Risks Identifying and Mitigating Fairness and Bias Risks Topic A: What Are Fairness and Bias? Topic B: Identify Bias Risks Topic C: Fairness Tradeoffs Topic D: Mitigate Bias Risks Identifying and Mitigating Transparency and Explainability Risks Topic A: What Are Transparency and Explainability? Topic B: Identify Transparency and Explainability Risks Topic C: Transparency and Explainability Tradeoffs Topic D: Mitigate Transparency and Explainability Risks Identifying and Mitigating Accountability Risks Topic A: What Is Accountability? Topic B: Identify Accountability Risks Topic C: Accountability Tradeoffs Topic D: Mitigate Accountability Risks Building an Ethical Organization Topic A: What Are Ethical Organizations? Topic B: Organizational Purpose Topic C: Ethics Awareness Topic D: Develop Professional Ethics within Organizations Developing Ethical Systems in Technology-Focused Organizations Topic A: Policy and Compliance Topic B: Metrics and Monitoring Topic C: Communication and Stakeholder Engagement Topic D: Ethical Leadership

Emotional Intelligence and Artificial Intelligence for Business Manager Boost your leadership with Emotional Intelligence. Integrate Artificial Intelligence for strategic advantage. Excel as a Business Manager with a balanced mastery of Emotional Intelligence and AI. Learning Outcomes: Explain the role of Emotional Intelligence in business management. Assess your Emotional Intelligence and Self-Awareness. Cultivate relationships using Emotional Intelligence techniques. Evaluate the impact of Artificial Intelligence on business processes. Innovate business models using Artificial Intelligence insights. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Emotional Intelligence and Artificial Intelligence for Business Manager: Introduction to Emotional Intelligence: Understand the fundamentals and significance of Emotional Intelligence in managerial roles. Emotional Intelligence Self-Awareness: Gauge and improve your self-awareness using Emotional Intelligence tools. Relationships in Emotional Intelligence: Build and manage professional relationships through Emotional Intelligence. Artificial Intelligence for Business: Learn how Artificial Intelligence can reshape traditional business paradigms. Artificial Intelligence on Business Models: Reconfigure your business models effectively using Artificial Intelligence. Creativity and Innovation on AI: Harness the power of AI to fuel creativity and innovation in business management.

Master the art of hybrid team management with our comprehensive course. Learn effective techniques for transitioning, team building, and driving high performance in a hybrid work environment. Elevate your leadership skills and optimize your team’s effectiveness in today’s dynamic work landscape.

Information Management Diploma Unlock the potential of effective data governance with our Information Management Diploma. This course is meticulously designed to equip you with the expertise needed in Information Management, focusing on IT Asset Management (ITAM), data security, compliance, and the legal landscape around data management, such as GDPR. Learning Outcomes: Master the essentials of ITAM Policies and delineate IT Management Responsibilities within the scope of Information Management. Understand the intricacies of setting up an effective ITAM Program as a pivotal part of your Information Management strategy. Be adept in IT Asset Procurement and Deployment, essential processes in Information Management. Gain comprehensive knowledge in IT Asset Security and Compliance, key components of Information Management. Become proficient in the Principles of GDPR, especially its implications on Information Management. Recognise the Rights of Data Subjects and learn how to safeguard them in your Information Management systems. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Information Management Diploma: ITAM Policies and IT Management Responsibilities in Information Management Learn the foundational policies that govern IT Asset Management and the responsibilities that IT managers bear in Information Management. Setting up an ITAM Program within Information Management Acquire the knowledge and tools required to initiate, plan, and manage an ITAM program, ensuring it complements your Information Management strategy effectively. IT Asset Procurement and Deployment in Information Management Delve into the processes that govern the acquisition and implementation of IT assets, understanding how these processes fit into Information Management. IT Asset Security and Compliance in Information Management Develop the acumen to secure IT assets effectively and understand the compliance parameters within the realm of Information Management. Principles of GDPR in Information Management Equip yourself with an in-depth understanding of GDPR principles and their critical importance to Information Management. Rights of Data Subjects in Information Management Comprehend the rights that data subjects possess under GDPR and learn how to implement mechanisms to protect these rights within your Information Management strategies.

🚀 Unlock the Power of Cloud Storage with Our 'Introduction to Amazon S3 Essentials' Course! 🌐   Are you ready to dive into the world of cloud storage and harness the unparalleled potential of Amazon S3? Look no further! Our comprehensive online course is your gateway to mastering the fundamentals of Amazon S3, designed to empower beginners and enthusiasts alike.   🔍 What You'll Learn: Foundation of Amazon S3: Gain a solid understanding of Amazon Simple Storage Service (S3) and its core functionalities. Setting Up & Configuration: Learn step-by-step how to create buckets, set permissions, and configure storage options effectively. Data Management: Master the art of storing, retrieving, and organizing data efficiently in Amazon S3. Security & Compliance: Understand best practices for securing your data and complying with industry standards. Integration & Automation: Explore integration possibilities and automate processes for seamless functionality.   💡 Why Choose Our Course? Expert Guidance: Led by industry experts with extensive experience in cloud computing and Amazon S3. Practical Approach: Hands-on exercises and real-life examples to reinforce learning. Flexible Learning: Study at your own pace, accessible 24/7 from anywhere in the world. Updated Content: Stay current with the latest trends, tips, and techniques in Amazon S3.   🎓 Who Is This Course For? Newcomers to Cloud Computing: Perfect for beginners looking to understand the basics of Amazon S3. IT Professionals: Enhance your skill set and advance your career in cloud technology. Developers & Entrepreneurs: Learn how to optimize Amazon S3 for your projects or business.   🏆 Enroll Today and Take Your First Step Towards Mastery! 🏆 Invest in your future with our 'Introduction to Amazon S3 Essentials' course and gain the expertise to navigate the world of cloud storage confidently. 👉 Don't miss this opportunity! Enroll now and unlock the potential of Amazon S3! 👈 Course Curriculum Basic Overview 00:00 Pricing 00:00 Set Up 00:00 File Storage 00:00 File Interface-Filezilla 00:00 File Interface-Cloudberry 00:00 File Delivery 00:00 File Backup 00:00 File Backup- Part-2 00:00 File Sharing 00:00 Cloud Transfers 00:00 Zapier Connection - Part 1 - Dropbox 00:00 Zapier Connection - Part 2 - Google Drive 00:00 Hosting Multimedia on S3 00:00 Using a Multimedia Interface on S3 00:00 Should I Host Multimedia on S3 00:00 File Protection 00:00 Tracking Bandwidth 00:00 Embedding Amazon S3 Video to Static HTML 00:00 Conclusion 00:00 Advanced Overview 00:00 Create and Configure a Bucket 00:00 Add A Bucket Policy 00:00 Uploading and Testing 00:00 Using Your Own Domain 00:00 Custom Domain Configuration - Part 1 00:00 Custom Domain Configuration - Part 2 - Bucket Configuration 00:00 Custom Domain Configuration - Part 3 00:00 Custom Domain Configuration - Part 4 - Domain Offsite 00:00 Custom Domain Configuration-Part 5 - Alias 00:00 Custom Domain Configuration - Part 6 - Testing 00:00 WordPress Installation - Part 1 00:00 WordPress Installation - Part 2 00:00 WordPress Backup to S3 00:00 WordPress Media Offload to S3 00:00 Serving Website Images From Amazon S3 00:00 Embedding Media Into WordPress 00:00 Embedding S3 Video Into WordPress with HTML 00:00 Securing Downloads In S3 and WordPress 00:00 Conclusion 00:00