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Overview This 2-day programme covers the latest techniques used for fixed income attribution. This hands-on course enables participants to get a practical working experience of fixed income attribution, from planning to implementation and analysis. After completing the course you will have developed the skills to: Understand how attribution works and the value it adds to the investment process Interpret attribution reports from commercial systems Assess the strengths and weaknesses of commercially available attribution software Make informed decisions about the build vs. buy decision Present results in terms accessible to all parts of the business Who the course is for Performance analysts Fund and portfolio managers Investment officers Fixed Income professionals (marketing/sales) Auditors and compliance Quants and IT developers 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

Leadership Foundations introduces the ideas and practical tools that help individuals, teams and organisations function more effectively. It is also known as 'Foundations of Success' and comprises the core principles and some initial resources that we share with all our clients: The Four Foundations of Leadership Personal responsibility and prioritisation The tyranny of the urgent & the secret of uninterrupted time Developing a planning and goal setting system Understanding Communication Styles Your personal goals and life balance 10 Magic Minutes daily planning

Duration 5 Days 30 CPD hours This course is intended for Implementers and administrators who are new to IBM Spectrum Protect data management. Overview At the end of this course you should be able to: Describe the purpose of IBM Spectrum Protect Install and configure the IBM Spectrum Protect components Use the administrative and client interfaces Discuss storage methodology options and create storage pool Customize data movement and retention policies to meet business requirements Configure the IBM Spectrum Protect database and storage pools for protection Optimize client configuration Perform backup, restore, archive and retrieve operations Organize daily tasks required to protect the IBM Spectrum Protect environment Automate and monitor client and administrative tasks and events IBM Spectrum© Protect 8.1.6 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum© Protect offers improved efficiency and flexibility using object-based data management and policy driven retention.This course will focus on implementation and basic administration of a IBM Spectrum© Protect environment. The hands-on lab exercises are performed on a Windows 2012 environment. The course materials include examples of AIX and Linux commands, when different from Windows. Components and conceptsInstallation and configurationInterfaces and monitoringStorage pools and devicesPolicy management, data movement, and explorationDatabase and storage pool managementClient configuration and managementClient data protectionDaily operations and maintenanceSchedules and reports Additional course details: Nexus Humans TS617 IBM Spectrum Protect - Implementation and Administration (v8.1.6) 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 TS617 IBM Spectrum Protect - Implementation and Administration (v8.1.6) 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.

Design meetings that get people participating

Duration 2 Days 12 CPD hours This course is intended for Workspace ONE UEM and 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: Explain the general features and functionality that Workspace ONE Access enables Demonstrate how to integrate Workspace ONE UEM with Workspace ONE Access Summarize and implement Workspace ONE productivity services into the digital workspace environment Explain the methods of enabling mobile single sign-on for mobile endpoints managed in the digital workspace Configure Workspace ONE Access to support SAML 2.0 for federated authentication across the workforce In this two-day course, you learn how to apply the fundamental techniques for integrating VMware Workspace ONE© Access? with VMware Workspace ONE© UEM to securely distribute business-critical applications from any device and configure access management controls. Through a combination of hands-on labs, simulations, and interactive lectures, you configure system and productivity integrations for Workspace ONE Access and Workspace ONE UEM. The course provides the principles of identity and access management. You will leave with a foundational understanding of how Workspace ONE uses various authentication methods and protocols to determine user access permissions and enable single sign-on. Course Introduction Introductions and course logistics Course objectives Workspace ONE Access Summarize the benefits of Workspace ONE Access Outline the core features and functions enabled by Workspace ONE Access Navigate the Workspace ONE Access console Explain the functions of directory integration with Workspace ONE Access Explain the various types of authentication protocols enabled by Workspace ONE Access Integrating Workspace ONE UEM and Workspace ONE Access Explain the rationale for integrating Workspace ONE UEM and Workspace ONE Access Outline the process of connecting Workspace ONE UEM and Workspace ONE Access Examine the workflow of integrations Summarize the key features of an integrated solution Productivity Integrations Identify the functions enabled by VMware Unified Access Gateway? Outline the purpose of the VMware AirWatch© Secure Email Gateway? edge service Explain the features enabled by the VMware Workspace ONE© Tunnel? edge service Summarize the capabilities enabled by the Content Gateway edge service SAML 2.0 Authentication Outline authentication methods supported by Workspace ONE Access Summarize the main properties of the SAML protocol Summarize the SAML authentication workflow Explain the application single sign-on authentication workflow with SAML Mobile Single Sign-On Describe the concept of mobile single sign-on Outline mobile single sign-on workflows Intelligence and Automation Summarize the features of Workspace ONE© Intelligence? Outline the benefits of using Workspace ONE Intelligence

Duration 2 Days 12 CPD hours This course is intended for This intermediate course is for Business and Technical Specialist working with the Matching, Linking, and Search services of InfoSphere MDM Virtual module. Overview Understand how Matching and Linking work for both the Virtual Implementations of InfoSphere MDM Understand the MDM configuration project and database tables used by the PME Understand the PME Algorithms (Standardization, Bucketing and Comparison steps) and how to create and customize the algorithms using the workbench Understand how to analyze the Bucketing steps in an algorithm Understand how to generate weights for a given algorithm and how those weights are generated based on a sample database set Understand how to analyze the weights that are generated using the workbench Understand how to deploy the PME configuration for the Virtual implementations of InfoSphere MDM The InfoSphere MDM Virtual Module Algorithms V.11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for Virtual MDM implementations. PME and Virtual Overview Virtual MDM Overview Terminology (Source, Entity, Member, Attributes) PME and Virtual MDM ( Algorithms, Weights, Comparison Scores, Thresholds) Virtual MDM Linkages and Tasks Virtual MDM Algorithms Standardization Bucketing Comparison Functions Virtual PME Data Model Algorithm configuration tables Member Derived Data Bucketing Data Bucket Analysis Analysis Overview Attribute Completeness Bucket Analysis Weights Weights Overview (Frequency-based weights, Edit Distance weights and Parameterize weights) The weight formula Running weight generation Analyzing weights Bulk Cross Match process Pair Manager Threshold calculations Additional course details: Nexus Humans ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 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 ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 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 Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

Duration 2 Days 12 CPD hours This course is intended for This basic course is for persons needing an introductory knowledge of DB2, and persons preparing for advanced and specialized DB2 education. Overview List and describe the major components of IBM's relational database, DB2 Explain the characteristics of a DB2 table Relate the basic concepts of data modeling Comprehend the processing instructions given to DB2 via simple SQL statements List and describe several ways to build (write) and execute SQL statements List and describe steps needed to imbed SQL statements in an application program Explain some of the functions performed by, and the responsibilities of, database and system administrators Establish a base for more specialized DB2 education This course provides information about the functions of IBM's DB2, a relational database manager which may be installed under a variety of operating systems on many hardware platforms (e.g., z/OS, VM, Linux, UNIX, Windows, etc.) Understanding a Table Identify the advantages of a relational database Define a relation Name the language used to talk to a relational database manager (RDBM) List three characteristics assigned to each column Define the tasks performed by DB2 when running an application Defi Data Modeling and Database Design State the purpose of a business model Identify an Entity-Relational Diagram (ERD) model List several DB2 column data types Identify non-standard column and table names Identify the characteristics of a primary key and a foreign key State the purpose of re How does a User use DB2? List several ways to talk to DB2 List multiple ways to generate an SQL statement List several ways to ADD, REMOVE, or CHANGE table rows List several ways to READ data and produce reports How does a Programmer use DB2? List the steps needed to create a test environment List the necessary steps to coding SQL in a program Describe the purpose of SQL delimiters Describe the purpose of an SQLCA List the steps involved in preparing a program for execution State the differenc What does an Administrator do in DB2? List some of the tasks performed by a DB2 System Administrator: Identifying the DB2 product, Installing DB2, Creating subsystems/instances, databases and table spaces, Authorizing, and Monitoring List some of the tasks performed by a DB2 Database Administ Information Management with DB2 List several planning considerations for distributing data List some of the skills required to successfully distribute data Differentiate between remote unit of work, distributed unit of work, and distributed request List some of the security concerns whe

Duration 4.125 Days 24.75 CPD hours This course is intended for Managers or consultants seeking to prepare and support an organization in planning, implementing, and maintaining a compliance program based on the GDPR DPOs and individuals responsible for maintaining conformance with the GDPR requirements Members of information security, incident management, and/or business continuity teams Technical and compliance experts seeking to prepare for a data protection officer role Expert advisors involved in the security of personal data Overview Understand the concepts of the GDPR and interpret its requirements Understand the content and the correlation between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134 Develop the ability to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority Acquire the competence to perform the role and daily tasks of the data protection officer in an organizationit Considering that data breaches have become highly sophisticated in the recent years, the need for data protection has increased as well.Information Security is crucial to the success of any organization since it deals with the protection of sensitive data from unauthorized access, use, replication and destruction. As such, organizations should put in place measures and controls to manage and diminish Information Security risks and comply with GDPR requirements. In case organizations fail to comply with the GDPR requirements, the penalties can reach up to 2% of an organization?s annual turnover. Also, in case of more serious infringements, the penalties can amount to 4% of an organization?s annual revenue. The implementation of a Privacy Framework, on the other hand, will allow professionals to develop and implement reliable controls that are generally accepted.Becoming a Certified Data Protection Officer will enable you to acquire the necessary expertise to understand the risks that could have a negative impact on your organization and implement the required strategic responses based on the GDPR best practices, requirements and principles. Introduction to the GDPR concepts and principles Training course objectives and structure General Data Protection Regulation (GDPR) Core considerations for the GDPR Designation of the DPO and analysis of the GDPR compliance program Designation of the DPO Analysis of the GDPR compliance program Relationship with the top management Data protection policy Register of processing activities Risk management process DPO operations Data protection impact assessment Documentation management Evaluation of the data protection controls Data protection and technology Awareness, training, and communication Monitoring and continual improvement of GDPR compliance Incident management and personal data breaches Monitoring and measuring compliance Data protection internal audit Treatment of nonconformities Continual improvement Closing the training course