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Front-line communication plays a vital role in shaping the public perception of every organisation. This course is designed to help delegates organise their ideas and communicate clearly and effectively through email. By improving written communication skills, delegates will become more concise, communicate with conviction, and foster meaningful dialogue with their audience. These skills are essential for professionals who interact with the public, as improved communication leads to greater internal and external customer satisfaction. Delegates will learn how to: Write clearly and professionally, enhancing public perception of expertise Communicate more efficiently in writing, reducing wasted time and increasing profitability Craft concise, rapport-building messages for internal and external customers, fostering productivity and a positive workplace environment Topics Covered: Benefits of using email Determining the purpose of an email Steps to take before writing Inflection in written messages Effects of instant messaging and text messaging on communication Basic email structure and planning Writing effective subject lines Paragraph structure and organisation Including relevant details and summarising problems effectively Proper use of CC and BCC fields Why typing in all caps is considered shouting! Proofreading techniques This Email Etiquette course is a 90-minute interactive virtual session. Upon registration, delegates will receive online login instructions prior to the class date. This format allows delegates to enhance their skills conveniently from their home or office while improving their professional communication abilities.

Brush calligraphy for beginners. Drop-in session for you to come and pick up an activity pack and fill in at your leisure.

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.

The Preliminary Electronic Security Course is an introductory (or revision) course designed to provide participants who have no previous Electrical or Electronics experience with the background skills required to attend the CCTV Installation Course, Access Control Course or Fire Alarm Foundation Course. The course gives both an introduction to electronics and electronic security and shows how the two fields merge together. Ideal for a beginner wishing to learn more about this fascinating area. A large practical content is guaranteed. The day will be an excellent learning experience with a skilled instructor. It is a great introduction to the other courses we provide.

This Real Estate Financial Modelling course will enhance delegates skills in crafting sophisticated financial models tailored for debt financing within the Real Estate sector.

Learn the English Speaking and Presentation Skills you need to rise to the Advanced/Proficiency Level and get the English-language job you want.

Duration 4 Days 24 CPD hours This course is intended for If you're a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows. Overview After completing this course, students will be able to: Design RPA solutions Develop RPA solutions Deploy and manage RPA solutions Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions. Module 1: Get started with Power Automate for desktop Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials. Module 2: Automate processes with Robotic Process Automation and Power Automate for desktop Work with Power Automate for desktop to record Windows and Web applications, but also use out of box actions such as manipulating Excel documents as part of an end to end invoice processing solution. Module 3: Work with Power Automate for desktop Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling. Module 4: Work with different technologies in Power Automate for desktop Learn how to automate email handling, Excel, user interface, and system services with Power Automate for desktop. Module 5: Implement advanced logic in Power Automate for desktop Learn how to work with system flows, control flows, mimic mouse actions, as well as operations used to manipulate text, date, and time in Power Automate for desktop. Module 6: Build expertise with Power Automate for desktop Learn how to use Power Automate for desktop to work with Power Automate, OCR technologies, and scripting. Module 7: Build custom connectors for Power Automate This Learning Path explores custom connectors and explains how to configure them and use them with Microsoft Power Automate Module 8: Use best practices to secure and govern Microsoft Power Platform environments This module focuses on introducing Microsoft Power Platform environments and their role in creating Data Loss Prevention (DLP) policies by using examples and use cases. A brief introduction and overview of tools will also be discussed, including Microsoft Power Platform and Power Automate Admin experiences and Microsoft Power Platform Center of Excellence (COE) toolkit. Additional course details: Nexus Humans PL-500T00 Microsoft Power Automate RPA Developer 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-500T00 Microsoft Power Automate RPA Developer 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 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.

This is an online course sat at your own pace to introduce you to clinical coaching. During the course we will go into the concept of training a student, learning methods, tutorial techniques, safeguarding and how to use the Central Skills Log (CSL). The course is open for 2 months. Once completed we can then arrange access to the CSL for one of Abbeydale’s students.

Duration 4 Days 24 CPD hours This course is intended for This course is for experienced cloud security engineers who have taken a previous certification in the security, compliance and identity portfolio. Specifically, students should have advanced experience and knowledge in a wide range of security engineering areas, including identity and access, platform protection, security operations, securing data, and securing applications. They should also have experience with hybrid and cloud implementations. Beginning students should instead take the course SC-900: Microsoft Security, Compliance, and Identity Fundamentals. This is an advanced, expert-level course. Although not required to attend, students are strongly encouraged to have taken and passed another associate level certification in the security, compliance and identity portfolio (such as AZ-500, SC-200 or SC-300) before attending this class. This course prepares students with the expertise to design and evaluate cybersecurity strategies in the following areas: Zero Trust, Governance Risk Compliance (GRC), security operations (SecOps), and data and applications. Students will also learn how to design and architect solutions using zero trust principles and specify security requirements for cloud infrastructure in different service models (SaaS, PaaS, IaaS). Prerequisites Highly recommended to have attended and passed one of the associate level certifications in the security, compliance and identity portfolio (such as AZ-500T00 Microsoft Azure Security Technologies, SC-200T00: Microsoft Security Operations Analyst, or SC-300T00: Microsoft Identity and Access Administrator.) Advanced experience and knowledge in identity and access, platform protection, security operations, securing data and securing applications. Experience with hybrid and cloud implementations. 1 - Introduction to Zero Trust and best practice frameworks Zero Trust initiatives Zero Trust technology pillars part 1 Zero Trust technology pillars part 2 2 - Design solutions that align with the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF) Define a security strategy Cloud Adoption Framework secure methodology Design security with Azure Landing Zones The Well-Architected Framework security pillar 3 - Design solutions that align with the Microsoft Cybersecurity Reference Architecture (MCRA) and Microsoft cloud security benchmark (MCSB) Design solutions with best practices for capabilities and controls Design solutions with best practices for attack protection 4 - Design a resiliency strategy for common cyberthreats like ransomware Common cyberthreats and attack patterns Support business resiliency Ransomware protection Configurations for secure backup and restore Security updates 5 - Case study: Design solutions that align with security best practices and priorities Case study description Case study answers Conceptual walkthrough Technical walkthrough 6 - Design solutions for regulatory compliance Translate compliance requirements into a security solution Address compliance requirements with Microsoft Purview Address privacy requirements with Microsoft Priva Address security and compliance requirements with Azure policy Evaluate infrastructure compliance with Defender for Cloud 7 - Design solutions for identity and access management Design cloud, hybrid and multicloud access strategies (including Azure AD) Design a solution for external identities Design modern authentication and authorization strategies Align conditional access and Zero Trust Specify requirements to secure Active Directory Domain Services (AD DS) Design a solution to manage secrets, keys, and certificates 8 - Design solutions for securing privileged access The enterprise access model Design identity governance solutions Design a solution to secure tenant administration Design a solution for cloud infrastructure entitlement management (CIEM) Design a solution for privileged access workstations and bastion services 9 - Design solutions for security operations Design security operations capabilities in hybrid and multicloud environments Design centralized logging and auditing Design security information and event management (SIEM) solutions Design solutions for detection and response Design a solution for security orchestration, automation, and response (SOAR) Design security workflows Design threat detection coverage 10 - Case study: Design security operations, identity and compliance capabilities Case study description Case study answers Conceptual walkthrough Technical walkthrough 11 - Design solutions for securing Microsoft 365 Evaluate security posture for collaboration and productivity workloads Design a Microsoft 365 Defender solution Design configurations and operational practices for Microsoft 365 12 - Design solutions for securing applications Design and implement standards to secure application development Evaluate security posture of existing application portfolios Evaluate application threats with threat modeling Design security lifecycle strategy for applications Secure access for workload identities Design a solution for API management and security Design a solution for secure access to applications 13 - Design solutions for securing an organization's data Design a solution for data discovery and classification using Microsoft Purview Design a solution for data protection Design data security for Azure workloads Design security for Azure Storage Design a security solution with Microsoft Defender for SQL and Microsoft Defender for Storage 14 - Case study: Design security solutions for applications and data Case study description Case study answers Conceptual walkthrough Technical walkthrough 15 - Specify requirements for securing SaaS, PaaS, and IaaS services Specify security baselines for SaaS, PaaS, and IaaS services Specify security requirements for web workloads Specify security requirements for containers and container orchestration 16 - Design solutions for security posture management in hybrid and multicloud environments Evaluate security posture by using Microsoft Cloud Security Benchmark Design integrated posture management and workload protection Evaluate security posture by using Microsoft Defender for Cloud Posture evaluation with Microsoft Defender for Cloud secure score Design cloud workload protection with Microsoft Defender for Cloud Integrate hybrid and multicloud environments with Azure Arc Design a solution for external attack surface management 17 - Design solutions for securing server and client endpoints Specify server security requirements Specify requirements for mobile devices and clients Specify internet of things (IoT) and embedded device security requirements Secure operational technology (OT) and industrial control systems (ICS) with Microsoft Defender for IoT Specify security baselines for server and client endpoints Design a solution for secure remote access 18 - Design solutions for network security Design solutions for network segmentation Design solutions for traffic filtering with network security groups Design solutions for network posture management Design solutions for network monitoring 19 - Case study: Design security solutions for infrastructure Case study description Case study answers Conceptual walkthrough Technical walkthrough Additional course details: Nexus Humans SC-100T00 Microsoft Cybersecurity Architect 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 SC-100T00 Microsoft Cybersecurity Architect 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.