1636 Basic courses in Coventry delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Administrator, Database Administrator, Security Specialist, and Systems Administrator. Overview Upon successful completion of this course, students will be able to Enumerate Oracle auditing solutions to monitor database security requirements, Implement Oracle Audit Vault and Database Firewall, Configure Oracle Audit Vault and Database Firewall, Explain Oracle Compliance Framework, and Configure basic Compliance Framework rules. In the Oracle Database Security: Detective Controls course, students learn how they can use Oracle Database administration auditing features to meet the compliance requirements of their organization. IntroductionUsing Unified AuditUsing Fine-Grained AuditIntroduction to Oracle Audit Vault and Database Firewall (AVDF)Planning the Oracle Audit Vault and Database Firewall ImplementationInstalling the Audit Vault ServerConfiguring the Audit Vault ServerConfiguring Oracle AVDF and Deploying the Audit Vault AgentNetworking and Oracle AVDFInstalling a Database FirewallConfiguring Oracle AVDF and Deploying Database FirewallUsing Host MonitoringConfiguring High AvailabilityCreating Custom Collection Plug-insManaging the Audit Vault ServerManaging the Database FirewallsOverview of the Auditing and Reporting FeaturesPerforming Administrative TasksCreating Audit Policies for Oracle DatabasesCreating Database Firewall PoliciesOracle AVDF ReportsManaging Entitlements Additional course details: Nexus Humans Oracle Database Security - Detective Controls 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 Oracle Database Security - Detective Controls 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 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Solution Architect Overview This course will prepare you to: Present the MDM solution strategy of SAP Explain the data domains and processes related to MDG Perform basic configuration of standard MDG content Adjust and extend the standard MDG content Create custom content for MDG This course gives you the technical and business knowledge you need to use SAP Master Data Governance to ensure ongoing master data quality. The advanced user will also gain understanding and skills related to configuration, as well as the knowledge required to extend and modify the solution, including the ability to create a custom-solution based on the Custom master data domain. Introduction to SAP Master Data GovernanceS/4HANA Master Data OverviewMDG for Domain MaterialMDG for Domain Business Partner, Supplier, CustomerMDG for Domain Finance & Hierarchy ManagementMDG Multiple Object Processing & Mass ChangesMDG Consolidation and Mass ProcessingMDG Process AnalyticsMDG Master Data Quality ApplicationMDG Data Quality EnhancementsMDG Process ModelingMDG Exchange & MDG Data TransferMDG Custom Objects & EnhancementsMDG Customizing, Setup & Project Strategies Additional course details: Nexus Humans MDG100 SAP Master Data Governance on SAP S/4HANA 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 MDG100 SAP Master Data Governance on SAP S/4HANA 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 solution architects, developers, business analysts, system administrators, or anyone who works as a solution builder within their company. Overview Build and deploy a solution Create properties and document classes Create roles and in-baskets Create a case type and tasks Create a workflow Use preconditions and sets Automate case packaging Add case stages Apply solution design principles In this course you will create basic case management solutions with IBM Case Manager Builder and Process Designer. Using an iterative solution development process, you will create, deploy, test, and revise your solutions, adding complexity and functionality to your solutions as you gain skills. You will create properties and document classes, configure roles and in-baskets, and define case stages. You will work with case types, tasks, and workflows. This course includes some guidelines on solution design principles. After completing this course, you can build on these skills by taking more advanced or specialized courses in security, user-interface customization, and solution deployment. Build and Deploy a Solution Build a solution Deploy a solution Test a solution Manage roles Redeploy a solution Create Properties and Document Classes Create case properties Create task properties Create a business object Create document classes Create Roles and In-Baskets Create roles Create in-baskets Create Tasks Create a to-do task Create a container task Add the to-do list widget to the Case Details pag Create a Step Map Open a task in Step Designer Create a step map Add a workgroup to a step map Add an attachment to a step map Use Preconditions and Sets Organize tasks with preconditions Organize tasks with inclusive sets Organize tasks with exclusive sets Automate Case Packaging Open a task in Process Designer Add a component step to a task Use a component step to package a case Add Case Stages Add case stages to a solution Use a system step to perform a case stage operation Use a case stage as a task precondition Solution Design Principles Describe solution design principles

Duration 2 Days 12 CPD hours This course is intended for Applications consultants Overview This course will prepare you to: Explain the architecture of the SAP S/4HANA Financials component Configure and use new functionalities in SAP S/4HANA Use the standard SAP Fiori applications designed for SAP S/4HANA Explain the SAP Central Finance deployment option of SAP S/4HANA Finance The course provides an overview of the Financial Accounting capabilities that are new or different in SAP S/4 HANA compared to SAP ERP. Course Outline Introduction to SAP HANA and S4/HANA Overview of Financials for SAP S/4HANA Analysis of the new Architecture of Accounting Overview of SAP Fiori Short overview of the process of Financials Migration to SAP S/4HANA Configuration and use new functionalities in General Ledger Accounting Use the Accruals Management Use the app 'Monitor GR/IR Account Reconciliation' Use new functionalities in Asset Accounting Analysis of the Reporting Options for SAP S/4HANA Define a Financial Statement Version using the Global Accounting Hierarchy Overview of the Basic Cash Management in SAP S/4HANA Additional course details: Nexus Humans Financial Accounting in SAP S/4HANA for SAP ERP FI Professionals 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 Financial Accounting in SAP S/4HANA for SAP ERP FI Professionals 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 lecture and exercise-based course is for individuals who want to understand how to install, configure, and manage an IBM Spectrum Scale storage cluster. Overview After completing this course, you should be able to: Summarize the key features of IBM Spectrum Scale Describe IBM ESS and Spectrum Scale RAID Install IBM Spectrum Scale and configure a cluster Manage a cluster Implement information lifecycle management (ILM) Configure IBM Spectrum Scale high availability features Back up critical cluster data This course is intended for IT professionals tasked with administering an IBM Spectrum Scale storage cluster in environments running Linux and AIX nodes. The course includes information on installing, configuring, and monitoring an IBM Spectrum Scale cluster. Many Spectrum Scale features are described in lecture materials and then implemented in lab exercises. These features include: Storage management, high availability options, cluster management, and information lifecycle management (ILM) tools. Note: Although the lab environment is running the Linux operating system, the differences in Spectrum Scale compared with an AIX environment are minor. Therefore, the skills acquired during the course can be applied in both Linux and AIX environments. Welcome and course overview Unit 1 - IBM Spectrum Scale overview Exercise 1 - Cluster node preparation Unit 2 - Installation and cluster configuration Exercise 2 - Installation and cluster configuration Unit 3 - Cluster management Exercise 3 - Cluster management and configuration Unit 4 - Information Lifecycle Management (ILM) Exercise 4 - Storage pools, filesets, and policies Unit 5 - High availability and cluster data backups Exercise 5 - Replication and snapshots Course wrap-up and evaluation

Scottish Gaelic Beginner Conversation Course for online learners worldwide.

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for technical support personnel who implement, operate, and perform day-to-day administration of IBM MQ V8 on z/OS. Overview Describe message-oriented middleware and the capabilities it must provideIdentify the key components of IBM MQ for z/OSSummarize the responsibilities of the IBM MQ administratorConfigure IBM MQ IBM V8 for z/OSEnable IBM MQ for z/OS eight-byte RBA and buffers above 2 GBDemonstrate how to create and change queues and place and retrieve messages from a queueDefine and demonstrate how to set up and work with distributed queuingDifferentiate between an IBM MQ queue manager and an IBM MQ clientDescribe and demonstrate how to set up an IBM MQ clusterContrast point-to-point and publish/subscribe messaging stylesDescribe shared queues and queue sharing groupsSummarize IBM MQ for z/OS recovery and restart activitiesDemonstrate how to use IBM MQ events for monitoringSummarize performance considerationsDescribe security considerations for IBM MQ for z/OSDescribe and implement connection authentication and channel authorizationIdentify correct problem determination techniques for IBM MQ for z/OSSummarize basic use and configuration of IBM MQ Managed File TransferDescribe IBM MQ support for CICS and IMS interfaces This course provides the skills that are necessary to configure and manage an IBM MQ V8 queue manager on z/OS. Through lectures and hands-on lab exercises, students learn how to install, customize, operate, and administer IBM MQ V8. Course Outline Course introduction IBM MQ review IBM MQ architecture, installation, and configuration Exercise: Configuring an IBM MQ for z/OS queue manager IBM MQ for z/OS administrative interface options Exercise: Working with queues Distributed queuing Exercise: Working with channels IBM MQ clients Exercise: Working with IBM MQ clients IBM MQ cluster basics Exercise: Working with IBM MQ clusters Publish/subscribe basics Exercise: Publish/subscribe basics Queue sharing groups Using IBM MQ events and the dead-letter queue utility Exercise: Working with IBM MQ events Security considerations Exercise: Security Problem determination IBM MQ Managed File Transfer Exercise: IBM MQ Managed File Transfer configuration for z/OS IBM MQ for z/OS backup, recovery, and related file tasks Exercise: Working with file handling utilities Support for CICS, IMS, and HTTP applications Course summary

Duration 4 Days 24 CPD hours This course is intended for Storage and system administrators using HP Data Protector software, System Engineers, Consultants, Project Managers, Professional Services, and Sales. Overview Upon successful completion of this course, you should be able to:Install and distribute HP Data Protector software in your environmentConfigure the HP Data Protector software productConfigure your tape and disk-based backup solutions for use with HP Data Protector softwareUse HP Data Protector software to run backups and restores, and monitor these sessions from both the Data Protector GUI and command lineManage the HP Data Protector software Internal Database (IDB)Create custom reports and notification proceduresSecure your installation by configuring user access and adding security to the Cell Manager and DP client systemsPrepare your client to recover from a disaster situationUnderstand the Data Protector processes and perform basic troubleshooting of your installation The hands-on lab exercises reinforce the theory sessions to ensure a thorough understanding of backup and recovery concepts, the functionality of the software and its application to typical storage implementations. The hands-on lab exercises reinforce the theory sessions to ensure a thorough understanding of backup and recovery concepts, the functionality of the software and its application to typical storage implementations. Additional course details: Nexus Humans DP120 Data Protector 9.x Essentials 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 DP120 Data Protector 9.x Essentials 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 Yellow Belt training is intended for managers and employees from companies or government institutions who want to get acquainted with Lean Six Sigma or (soon) will have to deal with Lean Six Sigma in their own organization Overview During this training you will become acquainted with the essence of Lean Six Sigma and the importance of improvement management. It discusses how a Lean Six Sigma improvement project is approached, who plays an important role in an improvement project, what it yields as an employee or manager if this methodology is introduced in the organization and what should be taken into account when implementing. Theory and practice go hand in hand. The training encourages you to think about the value for your customer and which methodology best suits your role and your value in a process. This makes Lean and Six Sigma understandable and applicable. We also show what is involved in the introduction of LeanSix Sigma and there are various discussions about the introduction and the 'do's and don'ts of Lean Six Sigma. Course Outline Lean & Six Sigma Overview Basic Statistics Lean Six Sigma: the DMAIC Roadmap Lean Six Sigma: Tools Additional course details: Nexus Humans Lean Six Sigma Yellow Belt 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 Lean Six Sigma Yellow Belt 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 Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently