30 Recall courses in Sheffield delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for NetApp Customers, IT Generalists, Academic Alliance Students Overview Explain ONTAP operation system, Use the CLI and OnCommand System Manager to identify storage components, configure storage systems and storage virtual machines for NAS and SAN client access, create FlexVol volumes, qtrees, and LUNs, manage snapshot copies Introduces introductory concepts covered through instructor led discussions and hands-on labs are how to create aggregates, virtual interfaces, snapshots, volumes, qtrees, and storage virtual machines. Getting Started with Data ONTAP List basic storage concepts such as aggregates, RAID groups, volumes, qtrees, and LUNs Describe Data ONTAP features such as Snapshot copies, unified storage, and storage efficiency Describe the similarities and differences between the 7-Mode and clustered Data ONTAP operating systems Use the CLI and GUI for administrative purposes Hardware Basics Describe the NetApp storage system hardware platforms and the types of disks that they support Describe the hardware components of NetApp storage controllers Use OnCommand System Manager or the CLI to identify hardware components in Data ONTAP operating in 7-Mode and the clustered Data ONTAP operating system Creating & Managing Aggregates Describe aggregates and RAID groups Create aggregates in Data ONTAP operating in 7-Mode Create aggregates in the clustered Data ONTAP operating system Manage aggregates Managing NAS Client Access Configure NAS client access in Data ONTAP operating in 7-Mode Configure data storage virtual machines (SVMs*) for NAS client access in clustered Data ONTAP Create FlexVol volumes and qtrees Managing SAN Client Connections Describe SAN protocol implementation in Data ONTAP operating in 7-Mode and the clustered Data ONTAP operating system Use OnCommand System Manager to create iSCSI-attached LUNs Use NetApp SnapDrive for Windows to create and format iSCSI-attached LUNs Access and manage a LUN from a Windows host Managing Volumes Explain the relationship between space guarantees, volumes, and aggregates Define thin provisioning and explain how it is used Define deduplication and describe the benefits that it provides Use OnCommand System Manager to set quotas Managing Snapshot Copies Define the function of Snapshot copies Create and delete a Snapshot copy Create Snapshot policies in the clustered Data ONTAP operating system Restore a volume from a Snapshot copy Create FlexClone volume clones that are backed by Snapshot copies Steps to Certification Recall the steps to NetApp Certification

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for Technical professionals who need to install, configure, and manage Virtual Security Extension (VSX) solutions within their network security environment. Overview Explain the benefits of virtual network security. Understand the basic functions, components, and advantages of VSX technology. Examine the VSX management infrastructure and understand how traffic flows within a VSX network. Discuss options for deploying VSX technology within various types of organizations. Understand how to install and configure VSX Gateways and Virtual Systems. Describe different routing schemes and features that are available to use within the VSX environment. Understand how to deploy additional VSX networking configurations that may be required in the environment. Understand the differences between deploying physical Security Gateway Clusters and VSX Gateway Clusters. Understand how Virtual System Load Sharing works to enhance VSX network performance. Understand how to use the VSX Provisioning Tool to add and remove virtual devices. Recall how CoreXL technology enhances Security Gateway performance and recognize how to use the technology in a VSX environment. Understand how to employ tools for optimizing resources allocated in a VSX environment. Identify various VSX command line tools commonly used to retrieve information and perform configuration changes. Understand how to use VSX utility commands to perform various maintenance tasks for the VSX environment. Understand how to troubleshoot and debug issues that may occur in a VSX environment. This course provides a comprehensive understanding of the Check Point VSX solution and describes how to deploy it within the corporate network environment. Course Topics VSX Overview Virtual System Installation and Configuration VSX Clustering Advanced VSX Features Troubleshooting VSX LAB EXERCISES Configuring the VSX Environment Deploying a Virtual System with a Physical Interface Deploying a VS with Bonded VLAN Interfaces Configuring Virtual System HA Converting VSX High Availability to Virtual System Load Sharing Maintaining the VSX Environment Using the CLI to Manage VSX Performance Tuning in VSX Troubleshooting VSX Issues Upgrading a VSX Environment Additional course details: Nexus Humans CCVS Check Point Certified VSX Specialist 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 CCVS Check Point Certified VSX Specialist course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those with a basic understanding of Microsoft© Windows© and who need to know how to use Outlook as an email client to manage their email communications, calendar events, contact information, and other communication tasks. Overview In this course, you will use Outlook to compose and handle your email communications and also manage your calendar, contacts, and tasks.You will:Navigate Outlook to read and respond to email.Use the Address Book and format and spell check new messages.Attach files and insert illustrations to messages.Customize read and response options.Use flags, categories, and folders to organize messages.Create and work with Contacts.Create appointments and schedule meetings in Calendar.Create and work with Tasks and Notes. In this course, you will use Outlook to send, receive, and manage email messages, manage your contact information, schedule appointments and meetings, create tasks and notes for yourself, and customize the Outlook interface to suit your working style.This course covers the Microsoft Office Specialist Program exam objectives to help you prepare for the Outlook Associate (Office 365 and Office 2019): Exam MO-400 certification exam. Getting Started with Outlook Topic A: Navigate the Outlook Interface Topic B: Work with Messages Topic C: Access Outlook Help Topic D: Outlook on the Web Formatting Messages Topic A: Add Message Recipients Topic B: Check Spelling and Grammar Topic C: Format Message Content Working with Attachments and Illustrations Topic A: Attach Files and Items Topic B: Add Illustrations to Messages Topic C: Manage Automatic Message Content Customizing Message Options Topic A: Customize Reading Options Topic B: Track Messages Topic C: Recall and Resend Messages Organizing Messages Topic A: Mark Messages Topic B: Organize Messages Using Folders Managing Contacts Topic A: Create and Edit Contacts Topic B: View and Print Contacts Working with the Calendar Topic A: View the Calendar Topic B: Create Appointments Topic C: Schedule Meetings Topic D: Print the Calendar Working with Tasks and Notes Topic A: Create Tasks Topic B: Create Notes Additional course details: Nexus Humans Microsoft Outlook for Office 365 (Desktop or Online) - Part 1 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 Microsoft Outlook for Office 365 (Desktop or Online) - Part 1 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 2 Days 12 CPD hours This course is intended for This course is designed for security administrators and Check Point resellers who need to manage and monitor issues that may occur within their Security Management environment. Overview Understand how to use Check Point resources for support. Understand how to perform packet captures using tcmdump and FW Monitor command tools. Understand the basic process of kernel debugging, and how debug commands are structured. Recognize how to use various Linux commands for troubleshooting system issues. Recognize communication issues that may occur between SmartConsole and the SMS and how to resolve them. Understand how to troubleshoot SmartConsole login and authentication issues. Understand how to prevent and resolve licensing and contract issues. Understand how to troubleshoot issues that may occur during policy installation. Understand communication issues that may occur when collecting logs and how to resolve them. Recall various tools to use when analyzing issues with logs. Understand how to restore interrupted communications during heavy logging. Understand how NAT works and how to troubleshoot issues. Understand Client Side and Server Side NAT. Understand how the Access Control Policy functions and how the access control applications work together. Understand how to troubleshoot issues that may occur with Application Control and URL Filtering. Understand how the HTTPS Inspection process works and how to resolve issues that may occur during the process. Understand how to troubleshoot Content Awareness issues. Recognize how to troubleshoot VPN-related issues. Understand how to monitor cluster status and work with critical devices. Recognize how to troubleshoot State Synchronization. Understand how to troubleshoot communication issues between Identity Sources and Security Gateways. Understand how to troubleshoot and debug issues with internal Identity Awareness processes. The goal of this course is to provide an understanding of the concepts and skills necessary to troubleshoot issues which may occur when managing the Check Point Security Management architecture and Security Gateways. Course Outline An Introduction to Troubleshooting SmartConsole and Policy Management Troubleshooting Monitoring Logging Activity Troubleshooting Issues with NAT Understanding the Unified Access Control Policy Basic VPN Troubleshooting Monitoring ClusterXL Connections Understanding Identity Awareness Additional course details: Nexus Humans CCTA Check Point Troubleshooting Administration 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 CCTA Check Point Troubleshooting Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1.875 Days 11.25 CPD hours This course is intended for The job roles best suited to the material in this course are: team leaders, project managers, managers of scrum teams, teams transitioning to scrum, professionals intending to pursue the scrum master certification. Overview How to use the Scrum Framework to deliver products and services faster and with higher quality. How to leverage lean principles to identify waste in a system, process, or organization. Techniques and metics Scrum Masters use to improve. team happiness and performance. The patterns and practices of high-performing teams. How the Scrum Master role scales in an Agile implementation. This course is an adaptive, repeatable process that equips individuals and organizations in how to thrive in a world where change is the only constant. From Fortune 100 companies (Google, Amazon, Apple, etc) to nonprofits. Scrum has a proven record of reducing burnout, doubling throughput in half the time, and increase employee happiness. Core Scrum The Scrum Framework The Origins of Scrum (Optional) The Scrum Team Developers Scrum Master Leadership/Management Scrum Events The Sprint Product Backlog Re1nement Estimation Sprint Planning Sprint Review Sprint Retrospective Daily Scrum Scrum Artifacts Lean Principles Describe a Kaizen mindset and explain how small, iterative changes can lead to revolutionary leaps. Describe the three pillars of Scrum ? Transparency, Inspection, and Adaptation,? which implement the work of Ogunnaike and Ray. Explain the importance of reducing and eliminating waste in the system. Perform a root-cause analysis (e.g., using the ?5 Whys? technique). Assess the Process EZciency of their Scrum Team and recall that the de1nition of Lean is a Process EZciency of 25% or higher. Explain how the work of Takeuchi and Nonaka on Lean and the Toyota Production System paved the way for Scrum. Describe the origins of the name ?Scrum? from Takeuchi and Nonaka?s ?New New Product Development Game. Recognize that a Lean mindset suggests that you address a defect immediately after it is identi1ed as opposed to a mindset where defects are stored to be 1xed later. Agile Manifesto Recognize the four values of the Agile Manifesto and their signi1cance in the context of complex adaptive systems. Identify the 12 principles of the Agile Manifesto and describe their function in guiding practices that support teams in implementing and executing with agility. Explain that Scrum is one of the driving forces that gave rise to the Agile movement and predates the Agile Manifesto. Explain why the majority of ?Agile? teams are late, over-budget, and with unhappy customers (i.e., not agile) and explain what needs to be done to 1x that. Patterns of High Performing Teams Yesterday?s Weather Happiness Metric Teams that Finish Early Accelerate Faster Stable Teams Swarming Interrupt Buffer Good Housekeeping (formerly Daily Clean Code) Scrum Emergency Procedure Scrum@Scale Descaling Scaling the Scrum Master Registered Scrum Master Credential Access and complete the Registered Scrum Master by Scrum Inc. exam. Download their Registered Scrum Master Credential (upon successful completion of the exam). Be Recognized in the International Registry of Agile ProfesstionalsTM State the renewal process. Additional course details: Nexus Humans Agile Scrum 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 Agile Scrum 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.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Working with trauma requires advanced knowledge and skills beyond basic tapping training. While tapping produces amazing results, trauma requires a higher level of training in order to be both safe and effective.

This one-day workshop is intended for participants who have a basic understanding of Outlook but who want to know how to use its advanced features to manage their email communications, calendar events, contact information and other communication tasks. This course will help participants: Gain confidence using Outlook and its advanced features Organise and prioritise email messages Archive messages for safe-keeping Use rules to process received or sent messages automatically Manage scheduled meetings with others Give others permission to view and manage their folders and items Use contacts and commands to find out more about a person or company Prioritise work-flow using tasks and assigning tasks to others 1 Email messages Combining multiple clicks with quick steps Following up flag options Saving multiple attachments Attaching a folder of files Recalling and replacing a message Categorising messages with conditional formatting 2 Message options Adding options to messages Marking a message as private Receiving quick responses with voting buttons Directing replies to specific users Delaying sent messages Inserting links in messages 3 Stay organised with rules Using rules to automate message flow Moving messages with rules Using the rules wizard Setting up rules with conditions Using rules that work whilst you are away 4 Message clean-up Using conversation clean-up Using mailbox clean-up Moving messages to the archive folder Archiving folder properties Auto-archiving properties 5 Managing calendars Creating calendar groups Sharing calendars with permissions Setting up working days and times Managing time zones Categorise appointments with conditional formatting Publishing a calendar 6 Schedule meetings Scheduling a meeting Managing meeting responses Proposing new meeting times Adding attendees to a meeting Viewing multiple appointments 7 Using contacts Merging contacts to letters Merging contacts to labels Mail merging contacts in Word Exporting contacts to Excel 8 Managing tasks Organising your workload with tasks Categorising tasks Assigning tasks to others Sending a task status report Allocating time for tasks Regenerating a new task Viewing your tasks in the calendar 9 Adding message items Adding calendars to messages Adding business cards to messages 10 Email accounts Adding multiple user accounts Adding account permissions