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Calling ALL Early Years Practitioners!!! Outcomes for this Live Webinar Masterclass Explore what high-quality curriculum is and looks like Examine the 3 Is: Intent, Implementation and Impact Review how to evidence sequencing in learning and long-term memory during Ofsted inspection Check up on Cultural Capital requirement for ALL children

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 Participants are any IT specialist eager to become an industry recognized expert on Veeam software solutions:System Engineer / Administrator Backup / Virtualization Administrators Pre-Sales / Post-Sales / Solution Architects / Consultants Overview This certification is an excellent investment for an IT professional looking to increase productivity, reduce operating costs, increase potential for personal career advancement and gain recognition from the employer and customers. By completing the Veeam Certified Engineer (VMCE) course you should be able to:Get more functionality out of Veeam solutionsIdentify and resolve issues more efficientlyGain a distinction from your peers The Veeam Certified Engineer (VMCE) course is a 3 day technical deep-dive focused on teaching consultants and engineers to architect, implement, optimize and troubleshoot the Veeam software solution. Introduction Introduction Overview of Veeam products Hypervisor Support Veeam Backup & Replication key features Veeam One key features Veeam Management Pack vCloud Director Support Key concepts Backup Methods Scheduling Changed Block Tracking (CBT) Compression and Deduplication Retention Policy Veeam ONE features and functionality Auto Discovery of Backup and Virtual Infrastructure Business Categorization Pre-Defined Alerting Unattended monitoring Reporting and dashboards Agentless data gathering Hyper-V specific features Veeam One Deployment Veeam One assessment Tool Deployment Solution Architecture Deployment Scenarios Prerequisites Upgrading Veeam Backup & Replication Initial Configuration Adding Servers Adding a VMware Backup Proxy Adding a Hyper-V Offhost Backup Proxy Adding Backup Repositories Performing Configuration Backup and Restore Getting to Know User Interface Performing Backup Creating Backup Jobs Creating VM Copy Jobs Instant VM Recovery Replication (Replication Job, Failover, Failback) Insight into Replication Insight into Failover Insight into Failback SureBackup, SureReplica SureBackup Recovery Verification SureReplica Restore your VMs and Objects Data Recovery Restoring Microsoft Exchange and SharePoint objects Working with Veeam Backup & Replication Utilities 3-2-1 rule (Backup to tape, WAN, Backup Copy) Wan Accelerator Offsite Backup Copy Job Delegate file and VM restores with Veeam Backup Enterprise Manager Veeam Backup Enterprise Manager RESTful API HP StoreVirtual VSA Product Editions Product Editions Comparison Full and Free Troubleshooting How to review and analyze the issue Search for additional information Veeam Support Additional course details: Nexus Humans Veeam Certified Engineer (VMCE) 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 Veeam Certified Engineer (VMCE) 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.

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⭐ 10-week online course of baby signing for babies 6m+ and their parents/carers. Baby signing can benefit ANY family with a baby or toddler. Encourage and support your baby's early communication.

This course is designed to help adult learners develop the necessary language skills for academic success in an English-speaking environment. Through a combination of reading, writing, listening, and speaking exercises, participants will enhance their abilities to comprehend and produce academic texts, engage in critical thinking, and effectively communicate their ideas in written and spoken English.  Course Duration: 12 weeks (24 sessions) Course Objectives: By the end of this course, participants will: 1. Improve their academic vocabulary and understanding of complex grammatical structures. 2. Enhance their reading comprehension skills for academic texts. 3. Develop effective note-taking strategies for lectures and presentations. 4. Enhance their academic writing skills, including essay structure and research techniques. 5. Improve their ability to deliver academic presentations and participate in discussions. 6. Gain familiarity with academic conventions and citation styles. Course Outline: Week 1: Introduction to Academic English - Assessing participants' language proficiency and academic goals - Overview of the course syllabus and expectations - Introduction to academic vocabulary and common idiomatic expressions Week 2: Reading Comprehension - Scanning and skimming techniques for efficient reading - Strategies for understanding main ideas and supporting details - Vocabulary building through reading academic texts Week 3: Note-taking Skills - Effective note-taking during lectures and presentations - Organizing and summarising information - Practice exercises and listening activities Week 4: Academic Writing: Paragraph Structure - Understanding the components of a well-structured paragraph - Developing topic sentences and supporting ideas - Practice exercises on paragraph development Week 5: Academic Writing: Essay Structure - Introduction to essay structure: introduction, body, and conclusion - Crafting clear and concise thesis statements - Developing coherent and well-supported arguments Week 6: Research Skills and Citations - Introduction to academic research techniques - Evaluating sources for credibility and relevance - Understanding and applying citation styles (e.g., APA, MLA) Week 7: Grammar for Academic Writing - Review of essential grammar structures for academic writing - Practice exercises on sentence structure and complex grammar - Common grammatical errors to avoid in academic writing Week 8: Academic Writing: Research Papers - Understanding the research paper format and structure - Conducting literature reviews and integrating sources - Drafting and revising research papers Week 9: Academic Speaking: Presentations - Preparing and delivering effective academic presentations - Using visual aids and engaging the audience - Practicing presentation skills through individual and group activities Week 10: Academic Speaking: Discussions and Debates - Participating in academic discussions and debates - Expressing opinions and supporting arguments effectively - Listening and responding critically to others' viewpoints Week 11: Academic Writing: Critical Analysis - Analyzing and critiquing academic texts - Developing critical thinking and evaluation skills - Writing critical analysis essays Week 12: Review and Final Projects - Reviewing course content and addressing individual needs - Finalizing and presenting individual projects - Course evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs and preferences of the participants. You can opt in and out of different modules. 

Duration 1 Days 6 CPD hours This course is intended for Learners who will find this course applicable to their work include: Solutions architects Cloud practitioners Data engineers Data scientists Developers Overview In this course, you will explore: Workload definition and key concepts The AWS Well-Architected Framework Review phases, process, best practices, and antipatterns High and medium risks Prioritizing improvements to the AWS Well-Architected workflow Locating and using the AWS Well-Architected Framework white paper, labs, prebuilt solutions in the AWS solutions library, AWS Well-Architected independent software vendors (ISVs), and AWS Well-Architected Partner Program (WAPP) This interactive course provides a deep dive into Amazon Web Services (AWS) best practices to help you perform effective and efficient AWS Well-Architected Framework Reviews. The course covers the phases of a review, including how to prepare, run, and get guidance after a review has been performed. Attendees should have familiarity with the AWS concepts, terminology, services, and tools that are covered in the intermediate, 200-levelAWS Well-Architected Best Practices.This course provides an AWS Well-Architected Framework Review simulation and instructor-led group exercises and discussions regarding prioritizing and solutioning risks. The content focuses on teaching learners how to prepare proposals on high and medium risk issues using the AWS Well-Architected Tool. Module 1: AWS Well-Architected Framework Reviews Workload definition Key concepts of a workload AWS Well-Architected Review phases AWS Well-Architected Review approach, lessons learned, and use case AWS Well-Architected Review best practices AWS Well-Architected Review anti-patterns Module 2: Customer Scenario Group Sessions Demonstration of a Review question and answer example Operational excellence Group role-play exercise Two questions in this pillar Security Group role-play exercise Three questions in this pillar Reliability Group role-play exercise Three questions in this pillar Performance efficiency Group role-play exercise Three questions in this pillar Cost optimization Group role-play exercise Three questions in this pillar Module 3: Risk Solutions and Priorities AWS Well-Architected workflow Defining and solutioning high risk issues (HRIs) and medium risk issues (MRIs) Identifying significant risks and solutioning group discussion for: Operational excellence Security Reliability Performance efficiency Cost optimization Prioritizing improvements Module 4: Resources Resource pages AWS Well-Architected ISVs Module 5: Course Summary Objective recap Debrief What?s next? Additional course details: Nexus Humans Advanced AWS Well-Architected Best Practices 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 Advanced AWS Well-Architected Best Practices 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.