366 Analytics courses in London delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for IT professionals with five to eight years of experience in these roles: Data center engineers Network designers Network administrators Network engineers Systems engineers System administrator Consulting systems engineers Technical solutions architects Server administrators Network managers Cisco integrators or partners Overview After taking this course, you should be able to: Describe the Layer 2 and Layer 3 forwarding options and protocols used in a data center Describe the rack design options, traffic patterns, and data center switching layer access, aggregation, and core Describe the Cisco Overlay Transport Virtualization (OTV) technology that is used to interconnect data centers Describe Locator/ID separation protocol Design a solution that uses Virtual Extensible LAN (VXLAN) for traffic forwarding Describe hardware redundancy options; how to virtualize the network, compute, and storage functions; and virtual networking in the data center Describe solutions that use fabric extenders and compare Cisco Adapter Fabric Extender (FEX) with single root input/output virtualization (SR-IOV) Describe security threats and solutions in the data center Describe advanced data center security technologies and best practices Describe device management and orchestration in the data center Describe the storage options for compute function and different Redundant Array of Independent Disks (RAID) levels from a high-availability and performance perspective Describe Fibre Channel concepts, topologies, architecture, and industry terms Describe Fibre Channel over Ethernet (FCoE) Describe security options in the storage network Describe management and automation options for storage networking infrastructure Describe Cisco UCS servers and use cases for various Cisco UCS platforms Explain the connectivity options for fabric interconnects for southbound and northbound connections Describe the hyperconverged solution and integrated systems Describe the systemwide parameters for setting up a Cisco UCS domain Describe role-based access control (RBAC) and integration with directory servers to control access rights on Cisco UCS Manager Describe the pools that may be used in service profiles or service profile templates on Cisco UCS Manager Describe the different policies in the service profile Describe the Ethernet and Fibre Channel interface policies and additional network technologies Describe the advantages of templates and the difference between initial and updated templates Describe data center automation tools The Designing Cisco Data Center Infrastructure (DCID) v7.0 course helps you master design and deployment options focused on Cisco© data center solutions and technologies across network, compute, virtualization, storage area networks, automation, and security. You will learn design practices for the Cisco Unified Computing System? (Cisco UCS©) solution based on Cisco UCS B-Series and C-Series servers, Cisco UCS Manager, and Cisco Unified Fabric. You will also gain design experience with network management technologies including Cisco UCS Manager, Cisco Data Center Network Manager (DCNM), and Cisco UCS Director. This course helps you prepare to take the exam, Designing Cisco Data Center Infrastructure (300-610 DCID) Describing High Availability on Layer 2 Overview of Layer 2 High-Availability Mechanisms Virtual Port Channels Cisco Fabric Path Virtual Port Channel+ Designing Layer 3 Connectivity First Hop Redundancy Protocols Improve Routing Protocol Performance and Security Enhance Layer 3 Scalability and Robustness Designing Data Center Topologies Data Center Traffic Flows Cabling Challenges Access Layer Aggregation Layer Core Layer Spine-and-Leaf Topology Redundancy Options Designing Data Center Interconnects with Cisco OTV Cisco OTV Overview Cisco OTV Control and Data Planes Failure Isolation Cisco OTV Features Optimize Cisco OTV Evaluate Cisco OTV Describing Locator/ID Separation Protocol Locator/ID Separation Protocol Location Identifier Separation Protocol (LISP) Virtual Machine (VM) Mobility LISP Extended Subnet Mode (ESM) Multihop Mobility LISP VPN Virtualization Describing VXLAN Overlay Networks Describe VXLAN Benefits over VLAN Layer 2 and Layer 3 VXLAN Overlay Multiprotocol Border Gateway Protocol (MP-BGP) Ethernet VPN (EVPN) Control Plane Overview VXLAN Data Plane Describing Hardware and Device Virtualization Hardware-Based High Availability Device Virtualization Cisco UCS Hardware Virtualization Server Virtualization SAN Virtualization N-Port ID Virtualization Describing Cisco FEX Options Cisco Adapter FEX Access Layer with Cisco FEX Cisco FEX Topologies Virtualization-Aware Networking Single Root I/O Virtualization Cisco FEX Evaluation Describing Basic Data Center Security Threat Mitigation Attack and Countermeasure Examples Secure the Management Plane Protect the Control Plane RBAC and Authentication, Authorization, and Accounting (AAA) Describing Advanced Data Center Security Cisco TrustSec in Cisco Secure Enclaves Architecture Cisco TrustSec Operation Firewalling Positioning the Firewall Within Data Center Networks Cisco Firepower© Portfolio Firewall Virtualization Design for Threat Mitigation Describing Management and Orchestration Network and License Management Cisco UCS Manager Cisco UCS Director Cisco Intersight Cisco DCNM Overview Describing Storage and RAID Options Position DAS in Storage Technologies Network-Attached Storage Fibre Channel, FCoE, and Internet Small Computer System Interface (iSCSI) Evaluate Storage Technologies Describing Fibre Channel Concepts Fibre Channel Connections, Layers, and Addresses Fibre Channel Communication Virtualization in Fibre Channel SAN Describing Fibre Channel Topologies SAN Parameterization SAN Design Options Choosing a Fibre Channel Design Solution Describing FCoE FCoE Protocol Characteristics FCoE Communication Data Center Bridging FCoE Initialization Protocol FCoE Design Options Describing Storage Security Common SAN Security Features Zones SAN Security Enhancements Cryptography in SAN Describing SAN Management and Orchestration Cisco DCNM for SAN Cisco DCNM Analytics and Streaming Telemetry Cisco UCS Director in the SAN Cisco UCS Director Workflows Describing Cisco UCS Servers and Use Cases Cisco UCS C-Series Servers Fabric Interconnects and Blade Chassis Cisco UCS B-Series Server Adapter Cards Stateless Computing Cisco UCS Mini Describing Fabric Interconnect Connectivity Use of Fabric Interconnect Interfaces VLANs and VSANs in a Cisco UCS Domain Southbound Connections Northbound Connections Disjoint Layer 2 Networks Fabric Interconnect High Availability and Redundancy Describing Hyperconverged and Integrated Systems Hyperconverged and Integrated Systems Overview Cisco HyperFlex? Solution Cisco HyperFlex Scalability and Robustness Cisco HyperFlex Clusters Cluster Capacity and Multiple Clusters on One Cisco UCS Domain External Storage and Graphical Processing Units on Cisco HyperFlex Cisco HyperFlex Positioning Describing Cisco UCS Manager Systemwide Parameters Cisco UCS Setup and Management Cisco UCS Traffic Management Describing Cisco UCS RBAC Roles and Privileges Organizations in Cisco UCS Manager Locales and Effective Rights Authentication, Authorization, and Accounting Two-Factor Authentication Describing Pools for Service Profiles Global and Local Pools Universally Unique Identifier (UUID) Suffix and Media Access Control (MAC) Address Pools World Wide Name (WWN) Pools Server and iSCSI Initiator IP Pools Describing Policies for Service Profiles Global vs. Local Policies Storage and Basic Input/Output System (BIOS) Policies Boot and Scrub Policies Intelligent Platform Management Interface (IPMI) and Maintenance Policies Describing Network-Specific Adapters and Policies LAN Connectivity Controls SAN Connectivity Controls Virtual Access Layer Connectivity Enhancements Describing Templates in Cisco UCS Manager Cisco UCS Templates Service Profile Templates Network Templates Designing Data Center Automation Model-Driven Programmability Cisco NX-API Overview Programmability Using Python Cisco Ansible Module Use the Puppet Agent Additional course details: Nexus Humans Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID) 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 Cisco Designing Cisco Data Center Infrastructure v7.0 (DCID) 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.

Overview Learn in detail about Exotic Options – Taxonomy, Barriers, and Baskets Who the course is for Fixed Income sales, traders, portfolio managers Bank Treasury Insurance Pension Fund ALM employees Central Bank and Government Funding managers Risk managers Auditors Accountants Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant

Microsoft Power BI Training Course Overview: The Microsoft Power BI Training course is designed to equip learners with the knowledge and skills to use Power BI effectively for data analysis and reporting. This course covers the core features of Power BI, from data import and transformation to the creation of reports and visualizations. Learners will explore how to analyse data, generate insights, and create dynamic dashboards for reporting purposes. Whether you are looking to improve your analytical skills or advance your career, this course provides the foundation needed to become proficient in using Power BI for various data analysis tasks. By the end of the course, learners will be able to handle large data sets, create compelling visual reports, and make data-driven decisions. Course Description: This comprehensive Microsoft Power BI course delves into the essential components of the Power BI platform. Learners will start by exploring how to import and work with data, before progressing to designing reports and visualizations. The course includes an in-depth look at the various types of visualizations available, enabling learners to display data in an intuitive, easy-to-understand format. Additionally, learners will explore the Power BI Web App to access and share their reports online. As they move through the course, participants will gain valuable skills in data transformation, reporting, and visualization, all of which are applicable to industries requiring data-driven decision-making. By completing this course, learners will have a solid understanding of Power BI and the ability to create impactful reports and dashboards for business or personal use. Microsoft Power BI Training Curriculum: Module 01: Getting Started Module 02: Working with Data Module 03: Working with Reports and Visualizations Module 04: A Closer Look at Visualizations Module 05: Introduction to the Power BI Web App (See full curriculum) Who is this course for? Individuals seeking to understand Power BI and data analysis. Professionals aiming to enhance their data reporting skills. Beginners with an interest in business intelligence and data analytics. Anyone looking to improve their ability to visualise data for better decision-making. Career Path: Data Analyst Business Intelligence Analyst Reporting Specialist Data Visualisation Specialist Business Analyst

This BigQuery Conversion course is for users of SQL. We cover the interface and licensing differences and additional capabilities. Highlights of BigQuery. We will cover the general SQL topics ( see our intermediate outline ) and point out where the differences are. You would be able to move to this platform easily.

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

14 Authority Sites For Learning Amazon Affiliate Marketing Course Overview This course offers learners a comprehensive introduction to Amazon Affiliate Marketing, focusing on 14 authoritative websites that provide valuable resources for mastering this lucrative online business model. Through a well-structured curriculum, learners will gain insight into affiliate marketing strategies, the importance of selecting the right affiliate programs, and how to create effective content for driving traffic. The course covers essential topics that will help participants grow their affiliate business and generate passive income. By the end of the course, learners will be equipped with the knowledge to start or enhance their own Amazon affiliate marketing efforts, laying a strong foundation for ongoing success in this field. Course Description In this course, learners will explore 14 authority sites that serve as key resources for understanding and mastering Amazon Affiliate Marketing. Each module delves into crucial aspects such as affiliate program selection, content creation, SEO optimisation, and traffic generation techniques. With a focus on using trusted, high-quality sources, participants will develop a strong understanding of how to leverage these platforms to enhance their affiliate marketing strategies. The course provides an overview of key tools and strategies for optimising campaigns, measuring success, and scaling affiliate operations. Learners will leave the course equipped with the expertise to implement these strategies and start building a profitable affiliate marketing business. The learning experience is designed to be engaging and informative, offering a structured pathway for learners to advance in the affiliate marketing industry. 14 Authority Sites For Learning Amazon Affiliate Marketing Curriculum Module 01: Introduction To This Course Module 02: 14 Authority Sites For Learning Amazon Affiliate Marketing Module 03: Affiliate Marketing Basics: Getting Started Module 04: Choosing the Right Affiliate Program Module 05: Content Creation for Affiliate Marketing Module 06: Search Engine Optimisation (SEO) for Affiliate Sites Module 07: Generating Traffic for Affiliate Websites Module 08: Understanding Affiliate Metrics and Analytics Module 09: Scaling Your Affiliate Marketing Business Module 10: Best Practices for Amazon Affiliate Marketing Success Module 11: Case Studies: Successful Affiliate Websites Module 12: Troubleshooting Common Affiliate Marketing Challenges Module 13: Staying Updated in the Evolving Affiliate Marketing Landscape Module 14: Final Thoughts and Future Opportunities (See full curriculum) Who is this course for? Individuals seeking to start an affiliate marketing business. Professionals aiming to expand their digital marketing skills. Beginners with an interest in Amazon Affiliate Marketing. Entrepreneurs looking to diversify income streams. Career Path Affiliate Marketer Digital Marketing Specialist Content Creator SEO Consultant Online Business Owner

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 2 Days 12 CPD hours This course is intended for Designed for individuals new to the business analyst role or those who supervise and/or work with business analysts. Overview Understand the role of the business analyst Discuss industry standards/resources for obtaining more information about business analysis Acquire a solid understanding of the various tasks/activities that comprises business analysis Recognize the pre and post project business analysis activities Learn how to plan, elicit, analyze, model, and test requirements This is an introductory course designed to provide students with a basic understanding of the benefits, functions and impact a business analyst has within an organization. The course discusses the business analysis process as it is applied throughout a project as well as the pre-project activities that comprise strategy analysis. Students learn how a business analyst supports the project throughout the solution development life cycle, from defining business needs and solution scope to validating that requirements have been met in the testing phase and ensuring the solution continues to provide value after implementation. Introduction to Business Analysis Business analysis defined The activities that comprise business analysis IIBA/PMI and the goals of a professional association IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Exercise: Requirements challenges The IIBA? and the role of the Business Analyst Business analyst defined BA role vs. PM role Importance of communication/collaboration The deliverables produced as part of business analysis The BA career path Exercise: Review case Study Strategy Analysis and Change The definition of Strategy Analysis Components of Strategy Analysis Identifying stakeholders and business needs Exercises: Business Need development and RACI Stakeholder Identification Understanding and Defining Solution Scope Defining Solution Scope Project scope vs. product scope Defining a problem statement Techniques for defining scope Exercises: Conduct a brainwriting session and create a context diagram Optional exercise: Create a Use Case Diagram Understanding Requirements Define the term requirement Understand requirement types Present the requirements process Requirements vs. specifications and business rules Exercise: Identify Requirements Planning & Eliciting Requirements The Requirements Work Plan (RWP) Components of the RWP Identifying good questions for elicitation Active listening Categories and types of elicitation techniques Exercise: Planning for elicitation Analzying & Documenting Requirements Understanding requirements analysis The Business Requirements Document (BRD) The BRD vs. the functional requirements specification BRD components The purpose of packaging requirements Exercise: Analyzing Requirements Elicitation & Process Modeling Why models are created Objectives of modeling What is process management Understanding process modeling Modeling using BPMN AS-IS vs. TO-BE modeling BPMN subclasses BPMN simple structure Prototyping Business Process Modeling case study Exercises: Modeling and create a Prototype of your application Verifying & Validating Requirements The difference between validation and verification Characteristics of good requirements Risks associated with requirements Types of testing approaches Creating a test plan Requirements traceability matrix Verified and validated requirements Exercise: Testing Requirements Additional Resources Helpful links for obtaining additional business analysis information Additional course details: Nexus Humans BA01 - Business Analysis 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 BA01 - Business Analysis 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.