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Compliance and Risk Management Diploma Level 5 Course Overview The Compliance and Risk Management Diploma Level 5 provides a comprehensive introduction to the fundamental principles of compliance and risk management. This course covers essential topics such as compliance audits, risk management processes, compliance ethics, and risk types, ensuring that learners gain a solid foundation in the field. Upon completion, learners will possess the knowledge and skills necessary to effectively manage compliance and risk in various organisations, enhancing their career prospects within compliance-focused roles. The course is suitable for professionals looking to upskill and those new to the field, offering valuable insights for practical application in today’s regulatory environments. Course Description This diploma-level course explores key concepts in compliance and risk management, beginning with an overview of compliance principles and progressing through modules that delve into specific areas, including risk identification, management strategies, and the ethics of compliance. The course will provide learners with a thorough understanding of compliance management systems (CMS), audit procedures, and the diverse types of risks organisations face. Learners will gain the expertise required to assess, mitigate, and manage risks while ensuring compliance with industry regulations. The curriculum includes real-world case studies and examples that will equip learners with the skills to tackle the challenges faced by businesses in maintaining regulatory adherence and managing risk exposure. Compliance and Risk Management Diploma Level 5 Curriculum Module 01: Introduction to Compliance Module 02: Five Basic Elements of Compliance Module 03: Compliance Management System (CMS) Module 04: Compliance Audit Module 05: Compliance and Ethics Module 06: Risk and Types of Risk Module 07: Introduction to Risk Management Module 08: Risk Management Process (See full curriculum) Who is this course for? Individuals seeking to enter or advance in the compliance and risk management field. Professionals aiming to enhance their knowledge of compliance systems and risk strategies. Beginners with an interest in regulatory frameworks and risk management. Individuals seeking career growth within regulated industries. Career Path Compliance Officer Risk Manager Compliance Auditor Risk Analyst Regulatory Affairs Specialist Corporate Governance Advisor

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to work on the ideas introduced in Level 1: Understanding & Dealing with Everyday Racism The Six Stages Framework

These events are designed to introduce the BOOK & basic ideas behind Understanding & Dealing with Everyday Racism The Six Stages Framework

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Service Level Agreements (SLAs) are extensively utilised to define the scope of work and key responsibilities between a customer and a service provider. It is fundamental that all relevant personnel are familiar with the defining characteristics of SLAs and how the design and implementation of these contracts can impact operational efficiency and brand reputation. PARTICIPANTS WILL LEARN HOW TO: Understand why SLAs are so important for good business management Apply a process to develop effective SLAs that define service level expectations and drive desired behaviours Identify methods by which the SLA can be measured and performance monitored Have an understanding of KPI’s and the relevance of critical success factors COURSE TOPICS INCLUDE: Procurement cycle, process structure and tendering Best practice contract management and the 3 C’s Supplier performance measurement and KPIs SLA use, benefits and application The SLA development process The monitoring and control of SLAs

Learn the key skills to become a Manager in an organisation. How can you get the best from your new team. Course overview Duration: 2 days (13 hours)  This workshop is suitable for those who have recently started their first direct line management role. This is a practical workshop and focusses on understanding the role of a people manager in managing workloads amongst the team, the individuals within their team and getting the best out of the team. Objectives  State the key roles and responsibilities of a people manager Use your time effectively to plan and prioritise your own and the work of others for expedient results Set objectives that engage those reporting to you Delegate tasks effectively that motivate the individuals you delegate to Appreciate how to deal with both good and under-performance Adopt the most appropriate leadership style Manage the team through its natural development and through times of change Add value to meetings you attend and chair Content Roles and Responsibilities Understanding your roles and responsibilities for people management Management vs Leadership Action Centred Leadership Managing Workloads How to prioritise the management of tasks, the individuals and the team Objective setting – how to set objectives and how to engage individuals in their objectives Practical application on prioritisation and objective setting Managing Individuals Delegating tasks and work effectively Understanding motivation and how best to motivate individuals Managing performance – the Skill/Will matrix How to manage good performers Dealing with under-performance Goleman’s 6 Leadership styles Choosing the appropriate leadership style for the right person and situation Managing the Team Understanding team roles and dynamics How to manage the team as it develops Team learning and development Managing teams through times of change Tips and techniques for focused meetings

Duration 4 Days 24 CPD hours This course is intended for This course is intended for the person who has responsibility for daily system operations. Overview Send, display, and respond to messages Use the online help and reference materials Monitor and control job queues, active jobs, and output queues Create and change user profiles Use authorization lists and group profiles Start and stop Power Systems with IBM i Manage system devices, user display stations, and printers Save and restore objects and libraries Monitor job and history logs Diagnose a system problem Order, receive, and install PTFs This course enables a new system operator to develop basic to intermediate level skills needed for day-to-day operations of the Power System with IBM i Power Systems and IBM i concepts and overview . Reference material and support . Overview of 5250 emulation and help . Overview of System i Navigator . Overview of IBM Navigator for i . Messaging concepts . Messaging with 5250 emulation . Messaging with System i Navigator . Messaging with IBM Navigator for i . CL command concepts . CL commands with 5250 emulation . Concepts: Object, library, and the IFS . Object management with 5250 emulation . Object management with System i Navigator . Object management with IBM Navigator for i . Introduction to work management . Work management with 5250 emulation . Job control with 5250 emulation . Job control with System i Navigator . Job control with IBM Navigator for i . Print concepts . Print control with 5250 emulation . Print control with System i Navigator . Print control with IBM Navigator for i . Starting and stopping the system . System security concepts . System security with 5250 emulation . System security with System i Navigator . System security with IBM Navigator for i . System configuration overview . Configuration with 5250 emulation . Configuration with System i Navigator . Configuration with IBM Navigator for i . Save concepts . Save with 5250 emulation . Save with System i Navigator . Save with IBM Navigator for i . Restore concepts and overview . Problem determination with 5250 emulation . Problem determination with System i Navigator . Overview of the PTF process . PTFs with 5250 Emulation . Class summary . Additional course details: Nexus Humans AS24 IBM System Operator Workshop for IBM i 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 AS24 IBM System Operator Workshop for IBM i course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 1 Days 6 CPD hours This course is intended for This basic course is for users and developers familiar with earlier versions of IBM InfoSphere Information Server or IBM InfoSphere MDM who want to learn about new features in V11.3 Overview The objectives of this course are as follows:- Learn about the new features of DataStage V11.3- Learn about the new features of Information Analyzer V11.3- Learn about the new features of Data Click V11.3- Learn about the new features of the Information Governance Catalog V11.3 This course is designed to introduce you to new features in data integration and governance in IBM InfoSphere Information Server V11.3 and IBM InfoSphere MDM V11.3. Outline Unit DS: New Features in IBM InfoSphere DataStage V11.3 Unit DC: New Features in IBM InfoSphere Data Click V11.3 Unit IA: New Features in IBM InfoSphere Information Analyzer V11.3 **All units are accompanied by hands-on lab exercises. Additional course details: Nexus Humans KM650 IBM What is New in IBM InfoSphere Data Integration and Governance? V11.3 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 KM650 IBM What is New in IBM InfoSphere Data Integration and Governance? V11.3 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.