37559 Courses delivered Online

Duration 5 Days 30 CPD hours This course is intended for This course is designed primarily for cybersecurity practitioners who perform job functions related to protecting information systems by ensuring their availability, integrity, authentication, confidentiality, and non-repudiation. This course focuses on the knowledge, ability, and skills necessary to provide for the defense of those information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes. In addition, the course ensures that all members of an IT team?everyone from help desk staff to the Chief Information Officer?understand their role in these security processes. Overview In this course, you will assess and respond to security threats and operate a systems and network security analysis platform. You will: - Assess information security risk in computing and network environments. - Analyze reconnaissance threats to computing and network environments. - Analyze attacks on computing and network environments. - Analyze post-attack techniques on computing and network environments. - Implement a vulnerability management program. - Collect cybersecurity intelligence. - Analyze data collected from security and event logs. - Perform active analysis on assets and networks. - Respond to cybersecurity incidents. - Investigate cybersecurity incidents. - Address security issues with the organization's technology architecture. The course introduces tools and tactics to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and handle incidents as they occur. 1 - ASSESSING INFORMATION SECURITY RISK Identify the Importance of Risk Management Assess Risk Mitigate Risk Integrate Documentation into Risk Management 2 - ANALYZING RECONNAISSANCE THREATS TO COMPUTING AND NETWORK ENVIRONMENTS Assess the Impact of Reconnaissance Incidents Assess the Impact of Social Engineering 3 - ANALYZING ATTACKS ON COMPUTING AND NETWORK ENVIRONMENTS Assess the Impact of System Hacking Attacks Assess the Impact of Web-Based Attacks Assess the Impact of Malware Assess the Impact of Hijacking and Impersonation Attacks Assess the Impact of DoS Incidents Assess the Impact of Threats to Mobile Security Assess the Impact of Threats to Cloud Security 4 - ANALYZING POST-ATTACK TECHNIQUES Assess Command and Control Techniques Assess Persistence Techniques Assess Lateral Movement and Pivoting Techniques Assess Data Exfiltration Techniques Assess Anti-Forensics Techniques 5 - MANAGING VULNERABILITIES IN THE ORGANIZATION Implement a Vulnerability Management Plan Assess Common Vulnerabilities Conduct Vulnerability Scans Conduct Penetration Tests on Network Assets 6 - COLLECTING CYBERSECURITY INTELLIGENCE Deploy a Security Intelligence Collection and Analysis Platform Collect Data from Network-Based Intelligence Sources Collect Data from Host-Based Intelligence Sources 7 - ANALYZING LOG DATA Use Common Tools to Analyze Logs Use SIEM Tools for Analysis 8 - PERFORMING ACTIVE ASSET AND NETWORK ANALYSIS Analyze Incidents with Windows-Based Tools Analyze Incidents with Linux-Based Tools Analyze Malware Analyze Indicators of Compromise 9 - RESPONDING TO CYBERSECURITY INCIDENTS Deploy an Incident Handling and Response Architecture Mitigate Incidents Prepare for Forensic Investigation as a CSIRT 10 - INVESTIGATING CYBERSECURITY INCIDENTS Apply a Forensic Investigation Plan Securely Collect and Analyze Electronic Evidence Follow Up on the Results of an Investigation 11 - ADDRESSING SECURITY ARCHITECTURE ISSUES Remediate Identity and Access Management Issues Implement Security During the SDLC Additional course details: Nexus Humans CompTIA Cybersecurity Analyst Certification (CySA Plus) (Exam CS0-003) 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 CompTIA Cybersecurity Analyst Certification (CySA Plus) (Exam CS0-003) 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.

Join our eLearning program with live Zoom training on December 7th and 8th, 2025, to explore how hypnotherapy supports women's health. This workshop focuses on natural fertility, menopause management, and menstrual cycle relief. Learn techniques to reduce anxiety, alleviate symptoms like hot flashes and insomnia, and promote emotional well-being. Empower yourself with holistic tools for enhanced vitality at every stage of life.

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for existing IT professionals who have some networking knowledge and experience and are looking for a single course that provides insight into core and advanced networking technologies in Windows Server. This audience would typically include: Network administrators who are looking to reinforce existing skills and learn about new networking technology changes and functionality in Windows Server. System or Infrastructure Administrators with general networking knowledge who are looking to gain core and advanced networking knowledge and skills on Windows Server. Overview Plan and implement an IPv4 network. Implement Dynamic Host Configuration Protocol (DHCP). Implement IPv6. Implement Domain Name System (DNS). Implement and manage IP address management (IPAM). Plan for remote access. Implement DirectAccess. Implement virtual private networks (VPNs). Implement networking for branch offices. Configure advanced networking features. Implement Software Defined Networking. 55343A is the Community Courseware equivalent of retired Legacy Course 20741BC - Networking with Windows Server 2016. This 5-day classroom-based course provides the fundamental networking skills required to deploy and support Windows Server in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. Prerequisites In addition to professional experience, students who attend this training should already have the following technical knowledge: Experience working with Windows Server Knowledge of the Open Systems Interconnection (OSI) model Understanding of core networking infrastructure components and technologies such as cabling, routers and switches Familiarity with networking topologies and architectures such as local area networks (LANs), wide area networks (WANs) and wireless networking Some basic knowledge of the TCP/IP protocol stack, addressing and name resolution Experience with and knowledge of virtualization Hands-on experience working with the Windows client operating systems such as Windows 10 or Windows 11 1 - Planning and implementing an IPv4 network Planning IPv4 addressing Configuring an IPv4 host Managing and troubleshooting IPv4 network connectivity 2 - Implementing DHCP Overview of the DHCP server role Deploying DHCP Managing and troubleshooting DHCP 3 - Implementing IPv6 Overview of IPv6 addressing Configuring an IPv6 host Implementing IPv6 and IPv4 coexistence Transitioning from IPv4 to IPv6 4 - Implementing DNS Implementing DNS servers Configuring zones in DNS Configuring name resolution between DNS zones Configuring DNS integration with Active Directory Domain Services (AD DS) Configuring advanced DNS settings 5 - Implementing and managing IPAM Overview of IPAM Deploying IPAM Managing IP address spaces by using IPAM 6 - Remote access in Windows Server Overview of remote access Implementing the Web Application Proxy 7 - Implementing DirectAccess Overview of DirectAccess Implementing DirectAccess by using the Getting Started Wizard Implementing and managing an advanced DirectAccess infrastructure 8 - Implementing VPNs Planning VPNs Implementing VPNs 9 - Implementing networking for branch offices Networking features and considerations for branch offices Implementing Distributed File System (DFS) for branch offices Implementing BranchCache for branch offices 10 - Configuring advanced networking features Overview of high performance networking features Configuring advanced Microsoft Hyper-V networking features 11 - Implementing Software Defined Networking Overview of SDN. Implementing network virtualization Implementing Network Controller

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

Booked or looking to book your GIC? Want to know what to expect? Join us for an online session where we go through what is expected of you on the course and your chance to ask questions.

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.

Mastering Compliance and Safety on the Road This essential 7 hours course is designed to equip professional drivers with the knowledge and skills necessary to comply with complex driving regulations and ensure safe loading practices. Key areas covered include: Drivers’ Hours and Working Time Regulations: Gain a comprehensive understanding of driving and rest periods, breaks, and exemptions to avoid penalties and ensure driver well-being. Tachograph Regulations: Learn how to correctly use and interpret analog and digital tachographs to accurately record driving activities and comply with legal requirements. Safe Loading of Vehicles: Acquire essential knowledge and practical skills for securing loads effectively,preventing accidents, and complying with road safety regulations. By the end of this course, you will have a strong foundation in regulatory compliance and safe driving practices, helping you to protect your license, your employer, and other road users. Invest in your professional development and become a safer, more compliant driver.

If you have already undertaken some training in Motivational Interviewing (at least half a day)*, you are welcome to join our MI Skills Club (MISC), which is a free community group for Educational Psychologists wishing to practise their MI skills within a small and friendly group. Because MI is a conversational style, rather than a discrete skill, it is not something that can be mastered by attending a one-off training session. While MI is a learnable approach, it takes practice, reflection and supervision to improve. Learning MI on your own is hard, and receiving objective feedback and expert feedback are helpful in developing and maintaining competence in MI (Miller & Rollnick, 2023). Cathy Atkinson and Fi Coley, who are both members of the Motivational Interviewing Network of Trainers (MINT), are collaborating to build an MI Learning Community for EPs. MINT (2019) defines a learning community as a network of practitioners interested in the same topic, and the community can serve as both a resource and a forum for developing practice. In each 90-minute online session we will focus on one small aspect of MI (micro-skills practice) and use breakout rooms with small groups to practice skills and give /receive supportive feedback. This event is open to Educational Psychologists, Trainee Educational Psychologists, and Assistant Psychologists. We are unable to accommodate aspiring EPs at this event. *If you are just starting out on your MI journey, or you would like to refresh your skills, you can join our one-day Introduction and Refresher training on Friday 27th September 2024 - Motivational Interviewing for Ed Psychs: Introduction and Refresher Tickets, Fri 27 Sep 2024 at 09:00 | Eventbrite

The Designated Safeguarding Lead Advanced Course is an expert-led update and refresher course for school and college DSLs and their Deputies. It is an extensive, authoritative and highly rated, full-day training course that ensures DSL/DDSLs have the most comprehensive, effective and up-to-date knowledge and strategies in place to lead the safeguarding provision in their setting.