706 Cat courses in Cardiff delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 2 Days 12 CPD hours This course is intended for IBM SPSS Statistics users who want to familiarize themselves with the statistical capabilities of IBM SPSS StatisticsBase. Anyone who wants to refresh their knowledge and statistical experience. Overview Introduction to statistical analysis Describing individual variables Testing hypotheses Testing hypotheses on individual variables Testing on the relationship between categorical variables Testing on the difference between two group means Testing on differences between more than two group means Testing on the relationship between scale variables Predicting a scale variable: Regression Introduction to Bayesian statistics Overview of multivariate procedures This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results. Introduction to statistical analysis Identify the steps in the research process Identify measurement levels Describing individual variables Chart individual variables Summarize individual variables Identify the normal distributionIdentify standardized scores Testing hypotheses Principles of statistical testing One-sided versus two-sided testingType I, type II errors and power Testing hypotheses on individual variables Identify population parameters and sample statistics Examine the distribution of the sample mean Test a hypothesis on the population mean Construct confidence intervals Tests on a single variable Testing on the relationship between categorical variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Identify differences between the groups Measure the strength of the association Testing on the difference between two group meansChart the relationship Describe the relationship Test the hypothesis of two equal group means Assumptions Testing on differences between more than two group means Chart the relationship Describe the relationship Test the hypothesis of all group means being equal Assumptions Identify differences between the group means Testing on the relationship between scale variables Chart the relationship Describe the relationship Test the hypothesis of independence Assumptions Treatment of missing values Predicting a scale variable: Regression Explain linear regression Identify unstandardized and standardized coefficients Assess the fit Examine residuals Include 0-1 independent variables Include categorical independent variables Introduction to Bayesian statistics Bayesian statistics and classical test theory The Bayesian approach Evaluate a null hypothesis Overview of Bayesian procedures in IBM SPSS Statistics Overview of multivariate procedures Overview of supervised models Overview of models to create natural groupings

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Data Lakes on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Business Analysis (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Business Analysis principles and techniques. Key areas are: The breath of the role of a Business Analyst The processes and techniques of strategy analysis Investigation of an organization's business systems Techniques used within stakeholder analysis and the need for analyzing perspectives Conceptual modelling and business activity models Business improvements through gap analysis The Business case within the business change lifecycle The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered.The course provides in-depth knowledge and practice in Business Analysis Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Analysis Practice Exam Details Business Analysis Certification Scheme Rationale for Business Analysis The role of the BA throughout the stages of the Business change lifecycle The scope of the BA role within the context of the range of analysis activities Three areas of competencies Understanding the Strategic Context Techniques in practice: MOST Resource audit PESTLE Porter's Five Forces SWOT analysis CSF, KPI and Performance target Balanced Business Score Card Understanding the Current Situation Identification of stakeholder categories Identification of relevant investigation techniques The rationale for taking a holistic view Rich pictures, Mind Maps and Fishbone diagrams Stakeholder Analysis and Management Power/interest and level of interest Appropriate stakeholder management strategy Stakeholder perspectives and CATWOE technique Analysing and Modelling Business Activities Conceptual models of a business situation Five types of high level activity Planning activities Enabling activities Doing activities Monitoring and control activities Three types of business events The consensus business activity model Identifying Potential Solutions Different categories of business rules Gap analysis (through conceptual business activity model and as-is business situation) Components of a new business model Building the Business Case Rationale for the development of a business case Contents of a business case Identification of tangible/intangible costs and benefits, risks and impacts Rationale for the financial case and appraisal techniques Business case review in the business change lifecycle Additional course details: Nexus Humans Business Analysis - Practice 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 Business Analysis - Practice 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 Workspace ONE UEM operators and administrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants Workspace ONE Access operators and administrators, account managers, solutions architects, solutions engineers, sales engineers, and consultants Overview By the end of the course, you should be able to meet the following objectives: Identify key benefits of Workspace ONE Access to address your specific use case Describe the different identity sources supported by Workspace ONE Access and apply the most appropriate to your organization's use case Differentiate common authentication methods in Workspace ONE Access and select the most suitable method to fit your business needs Illustrate how to use access policies and implement best practices within your organization Outline various authentication methods and workflows that can be implemented to ensure a robust end-user experience, while meeting your security requirements Summarize the capabilities and benefits of VMware Workspace ONE Intelligent Hub and Hub Services and learn how to effectively implement both Discuss how to implement Workspace ONE Intelligent Hub and Hub Services effectively Describe features of VMware Workspace ONE Intelligence™ and how to use it to support daily administration and maintenance Explain how to use the Workspace ONE UEM and Workspace ONE Access APIs to perform administration and maintenance Outline Workspace ONE design methodology and how it can apply to your organization In this five-day course, you build on the foundations learned in VMWare Workspace ONE: Deploy & Manage to accelerate the advancement of your deployment and management systems with VMware Workspace ONE© UEM and VMware Workspace ONE© Access?.Through a series of hands-on labs, simulations, and interactive lectures, you effectively evaluate your organization?s current practices and discover opportunities to target improvements in identity, authentication, and access management. Additionally, you learn the strategies and techniques necessary to construct an integrated management strategy, utilizing a comprehensive set of VMware Workspace ONE© services, including Hub Services, the Unified Catalog, Intelligence, and the API. Course Introduction Introduction and course logistics Course objectives Workspace ONE Platform List the high-level components of the Workspace ONE platform Identify benefits of integrating Workspace ONE Access with other Workspace ONE products Explain what services Workspace ONE Access offers Outline the use cases for Workspace ONE Access Connector Identity Sources Identify different directory types in Workspace ONE Access based on identity sources Explain supported web standards for identity Explain Workspace ONE Access workflows of an Active Directory and an LDAP directory Identify features and use cases of third-party identity sources Identify the features and use cases of the VMware AirWatch© Provisioning app Authentication Identify the benefits of modern identity and access management Explain the workflows of connector-based authentication methods, such as Kerberos, RADIUS, and RSA SecureID Explain the workflows of cloud-based authentication methods, such as mobile SSO for iOS, mobile SSO for Android, and Workspace ONE Verify Access Policies Explain access policies and their importance Describe how identity providers (IdPs) and authentication methods work with access policies Explain how to create policy rules following best practice Catalog Define the types of resources in the Workspace ONE Access catalog Outline the common SAML authentication initiation methods for web applications in Workspace ONE Access Describe the high-level integration steps of a Horizon Cloud integration with Workspace ONE Access Hub Services Describe the relationship between Hub Services, Workspace ONE Intelligent Hub, Workspace ONE UEM, and Workspace ONE Access Illustrate the primary components of Hub Services Describe the features and use cases of Workspace ONE Verify Explain how to deploy mobile flows according to a use case Workspace ONE Intelligence Describe how Workspace ONE Intelligence supports your deployment and management strategy Explain how the Digital Employee Experience Management Solution helps improve employees' Anywhere Workspace journey Explain how you can use Dashboards to access different data for your device management use cases Explain how integration works to connect and share data with third parties Workspace ONE Application Programming Interface Outline the use cases for using the Workspace ONE API Explain how to perform Workspace ONE UEM administration and maintenance through the API Explain how to perform Workspace ONE Access administration and maintenance through the API Design Methodology Explain the Workspace ONE business drivers and use case definition Define Workspace ONE services Discuss how to make architectural design decisions Explain how to create component designs Discuss which third-party components are required for infrastructure design Discuss the process of platform integration Explain the required services for service integration Explain how to design user experience

Duration 2 Days 12 CPD hours This course is intended for Application Consultants, Business Analysts, and Process Owners Overview Learn to navigate the catalog, create and approve requisitions, and receive against POs. This course covers all of the functions of SAP Ariba Buying related to the creation of requisitions, the issuing of purchase orders, and receiving against purchase orders. Course Outline Introduction The Dashboard Catalogs Requisitions Accounting Approval Managing POs Receiving SAP Ariba Mobile Searching and Reporting Collaboration Demand Aggregation

Duration 1 Days 6 CPD hours This course is intended for This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services Overview At the end of this whiteboard design session, you will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as they are transitioned and modernized. Topics covered will include how to get an inventory of a 2008 server environment, how to categorize 2008 workloads and evaluate the best option for each category, migration and upgrade tools available, TCO analysis tools, offers available from Microsoft to leverage existing licenses and innovations of recent product updates, licensing and technologies. This course will look at the process of migrating workloads to Azure. You will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as your customers transition and modernize their application, data, and infrastructure environment. Whiteboard Design Session - Windows Server 2008 and SQL Server 2008 end of support planning Review the customer case study Design a proof of concept solution Present the solution

Duration 2 Days 12 CPD hours This course is intended for This course is suited to marketeers, business analysts, and researchers who are interested in increasing their statistical knowledge. Overview After attending this course, delegates will understand how statistics can be used to provide valuable insight into their business, and be able to apply statistical methods to solve business problems. On returning to work delegates will immediately be able to make a difference to the way that their organisations make decisions. This course covers the statistical methods that analysts need to move from simple reporting on business problems to extracting insight to solve business problems. Course Outline The course will explore the following topics through a series of lectures and workshops: Summary statistics for both continuous data and categorical data Using and reporting confidence intervals Using hypothesis tests to answer business questions Using correlations to explore data relationships Simple prediction models Analysing categorical data Additional course details: Nexus Humans Data-driven Business Using Statistical Analysis 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-driven Business Using Statistical Analysis 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 business and IT managers who may need to consider or work within a cloud computing environment. Overview Upon successful completion of this course, students will be able to: - identify the pros and cons of the cloud computing technology and determine its impact on businesses.- differentiate the currently-available cloud services.- differentiate cloud categories and adoption measures.- identify risks involved and risk mitigation measures in cloud computing. In this course, students will define cloud computing technology and describe its impact on IT scenario. Introducing Cloud Computing Impact of the Cloud on Businesses Cloud Computing?An Overview Cloud Components Differentiating Cloud Services Infrastructure as a Service (IaaS)?An Overview Platform as a Service (PaaS)?An Overview Software as a Service (SaaS)?An Overview Integrating Cloud Services Categories of Cloud Deployment Models Migration to the Cloud Identifying Risks and Risk Mitigation Measures Cloud Computing Risks Cloud Computing Risk Mitigation Measures Additional course details: Nexus Humans Introduction to Cloud Computing 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 Introduction to Cloud Computing 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 A Dynamics 365 Customer Engagement Functional Consultant is responsible for performing discovery, capturing requirements, engaging subject matter experts and stakeholders, translating requirements, and configuring the solution and applications. The Functional Consultant implements a solution using out of the box capabilities, codeless extensibility, application and service integrations. Overview After completing this course, you will be able to: Install and configure the application Identify common sales scenarios Complete a sales cycle Configure product catalog Manage customer records Utilize analytics tools with customer data Microsoft Dynamics 365 for Sales is an end-to-end application to manage the handling of customers and potential customers; tracking data against sales goals, automating your best practices, learning from your data and more. Sales Overview Sales overview Configuring Sales Module summary Working with Opportunities Manage customers Working with opportunities Embedded intelligence Playbooks Integrated sales tools Module summary Quotes to Orders Order processing overview Manage product catalog Create and manage quotes Create and manage orders and invoices Module summary Sales Analytics and Insights Overview Power BI AI for Sales Modules summary Additional course details: Nexus Humans MB-210T01 Dynamics 365 for Customer Engagement for Sales 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 MB-210T01 Dynamics 365 for Customer Engagement for Sales 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.