368 Analytics courses delivered Live Online

This course has been specifically designed to assist professionals applying for Real Estate positions where a Real Estate Financial Modelling test is a requisite part of the interview process.

Duration 3 Days 18 CPD hours This course is intended for This introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have: Prior practical experience in Database Administration Experience working with Linux and be comfortable working with command line Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore: The MongoDB Basic Architecture and Installation MongoDB administration User Management MongoDB security Indexes Backup & Recovery High Availability / Replication Diagnostics & Troubleshooting MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation. Introduction to MongoDB Basic Architecture and Installation Differentiate database categories Learn MongoDB design goals List MongoDB tools Describe JSON and BSON Understanding the basic concepts of a Database Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property CAP Theorem, implementing NoSQL and what is MongoDB? Graph Database Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools Understanding the following: Collection, Documents and Key/Values, etc., Introduction to JSON and BSON documents Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package MongoDB Administration Take database backup and restore MongoDB© Export and import data from/ to a MongoDB© instance Check server status and DB status Monitor various resource utilization of a mongod instance Understand various optimization strategies Administration concepts in MongoDB Monitoring issues related to Database Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB Database Profiling, Locks, Memory Usage, No of connections, page fault etc., Backup and Recovery Methods for MongoDB Export and Import of Data to and from MongoDB Run time configuration of MongoDB Production notes/ best practices Data Managements in MongoDB (Capped Collections/ Expired data from TTL), TTL Collection Features GridFS Memory-Mapped Files Journaling Mechanics Storage Engines Power of 2-Sized Allocations No Padding Allocation Strategy Diagnosing Performance Issues Optimization Strategies for MongoDB Configure Tag Sets for Replica Set. Optimize Query Performance Monitoring Strategies for MongoDB . MongoDB Utilities MongoDB Commands MongoDB Management Service (MMS) Data Backup Strategies in MongoDB Copying Underlying Data Files Backup with MongoDump Fsync and Lock MongoDB Ops Manager Backup Software Security Strategies in MongoDB Authentication Implementation in MongoDB . Authentication in a Replica set Authentication on Sharded Clusters Authorization End-to-End Auditing for Compliance User Management Create a User Administrator. Add a User to a Database. Create/Assign User a Role. Verify/Modify a User Access/Privileges. Change a User?s Password MongoDB Security Knowing security concepts in MongoDB Understand how Authentication and Authorisation works Security Introduction Security Concepts Indexes Index Introduction, Index Concepts, Index Types Index Properties Index Creation and Indexing Reference Introduction to Aggregation Aggregation Approach to Aggregation sort Order Pipeline Operators and Indexes Text Indexes Aggregate Pipeline Stages Text Search MapReduce Index Creation Aggregation Operations Index Creation on Replica Set Remove, Modify, and Rebuild Indexes Listing Indexes Measure Index Use Control Index Use Index Use Reporting Geospatial Indexes MongoDB?s Geospatial Query Operators GeoWith Operator Backup & Recovery Import and Export MongoDB Data Restore and recovery of MongoDB(Including point in time Recovery) Restore a Replica Set from MongoDB Backups Recover Data after an Unexpected Shutdown Backup and Restore with Filesystem Snapshots Back Up and Restore with MongoDB Tools Backup and Restore Sharded Clusters High Availability (Replication ) Understand the concept of Replication in MongoDB© ? Create a production like Replica Set Introduction to Replication (High Availability), Concepts around Replication What is Replica Set and Master Slave Replication? Type of Replication in MongoDB How to setup a replicated cluster & managing replica sets etc., Master-Slave Replication Replica Set in MongoDB Automatic Failover Replica Set Members Write Concern Write Concern Levels Write Concern for a Replica Set Modify Default Write Concern Read Preference Read Preference Modes Blocking for Replication Tag Set Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns Oplog File Replication State and Local Database, Replication Administration Diagnostics & Troubleshooting Troubleshoot slow queries Diagnose connectivity problems Understand diagnostic tools Learn common production issues Learn fixes and solutions. Additional course details: Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) 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 MongoDB for DBAs (TTDB4680) 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 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

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.

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

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

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