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This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.

Duration 4 Days 24 CPD hours This course is intended for The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications. This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases. Prerequisites In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Prepare to maintain SQL databases on Azure Describe Microsoft Intelligent Data Platform roles Understand SQL Server in an Azure virtual machine Design Azure SQL Database for cloud-native applications Explore Azure SQL Database Managed Instance 2 - Deploy IaaS solutions with Azure SQL Explain IaaS options to deploy SQL Server in Azure Understand hybrid scenarios Explore performance and security Explain high availability and disaster recovery options 3 - Deploy PaaS solutions with Azure SQL Explain PaaS options for deploying SQL Server in Azure Explore single SQL database Deploy SQL database elastic pool Understand SQL database hyperscale Examine SQL managed instance Describe SQL Edge 4 - Evaluate strategies for migrating to Azure SQL Understand compatibility level Understand Azure preview features Describe Azure database migration options 5 - Migrate SQL workloads to Azure SQL databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL Database offline Migrate SQL Server to Azure SQL Database online Load and move data to Azure SQL Database 6 - Migrate SQL workloads to Azure Managed Instances Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed Instance Load and Move data to SQL Database Managed Instance 7 - Configure database authentication and authorization Describe Active Directory and Azure Active Directory Describe authentication and identities Describe Security Principals Describe database and object permissions Identify authentication and authorization failures 8 - Protect data in-transit and at rest Explore Transparent Data Encryption Configure server and database firewall rules Explain object encryption and secure enclaves Enable encrypted connections Describe SQL injection Understand Azure Key Vault 9 - Implement compliance controls for sensitive data Explore data classification Explore server and database audit Implement Dynamic Data Masking Implement Row Level security Understand Microsoft Defender for SQL Explore Azure SQL Database Ledger Implement Azure Purview 10 - Describe performance monitoring Describe performance monitoring tools Describe critical performance metrics Establish baseline metrics Explore extended events Describe Azure SQL Insights Explore Query Performance Insight 11 - Configure SQL Server resources for optimal performance Explain how to optimize Azure storage for SQL Server virtual machines Describe virtual machine resizing Optimize database storage Control SQL Server resources 12 - Configure databases for optimal performance Explore database maintenance checks Describe database scoped configuration options Describe automatic tuning Describe intelligent query processing 13 - Explore query performance optimization Understand query plans Explain estimated and actual query plans Describe dynamic management views and functions Explore Query Store Identify problematic query plans Describe blocking and locking 14 - Evaluate performance improvements Describe wait statistics Tune and maintain indexes Understand query hints 15 - Explore performance-based design Describe normalization Choose appropriate data types Design indexes 16 - Automate deployment of database resources Describe deployment models in Azure Automate deployment by using Azure Resource Manager templates and Bicep Automate deployment by using PowerShell Automate deployment by using Azure CLI 17 - Create and manage SQL Agent jobs Create a SQL Server maintenance plan Describe task status notifications 18 - Manage Azure PaaS tasks using automation Explore Elastic jobs Understand Azure Automation Build an automation runbook Automate database workflows by using Logic Apps Monitor automated tasks 19 - Describe high availability and disaster recovery strategies Describe recovery time objective and recovery point objective Explore high availability and disaster recovery options Describe Azure high availability and disaster recovery features for Azure Virtual Machines Describe high availability and disaster recovery options for PaaS deployments Explore an IaaS high availability and disaster recovery solution Describe hybrid solutions 20 - Explore IaaS and PaaS solutions for high availability and disaster recovery Describe failover clusters in Windows Server Configure Always-on availability groups Describe temporal tables in Azure SQL Database Describe active geo-replication for Azure SQL Database Explore auto-failover groups for Azure SQL Database and Azure SQL Managed Instance 21 - Back up and restore databases Back up and restore SQL Server running on Azure virtual machines Back up a SQL Server virtual machine Back up and restore a database using Azure SQL Database Additional course details: Nexus Humans DP-300T00: Administering Microsoft Azure SQL Solutions 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-300T00: Administering Microsoft Azure SQL Solutions 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.

An exciting 10-week course to build your Spanish skills from scratch. Practical applications for travel & conversation. Enlarge your vocabulary, improve your grammar in a pain-free, step-by-step way, working with a tutor with 10+ years' experience & a small group of learners.

Most people only use a fraction of Excel's capabilities. This workshop shows what you've been missing! This course will help participants: Nest formulas Get the most from pivot tables Use conditional formatting Write array formulas Explore the lookup functions Calculate by criteria Use 'goal seek' and 'scenario manager' for what-if analysis Record macros 1 Nesting formulas Principles of nesting formulas together Using IF with AND or OR to answer questions Nesting an AND function in an IF Nesting an OR function in an IF 2 Advanced pivot table reports Grouping dates, numerical and text items Running percentage analyse Running analyses to compare data Inserting Field calculations Finishing off with a user-friendly dashboard 3 Advanced conditional formatting Colour table rows based on criteria in it Applying colour to approaching dates Exploring the different rule types 4 Lookup functions Going beyond the VLOOKUP function Lookups that retrieve data from left or right The versatile INDEX and MATCH functions Retrieving data from columns with duplicates 5 Calculate by criteria Using SUMIFS to sum by criteria Finding an average by criteria with AVERAGEIFS Use SUMPRODUCT to multiply then add different values 6 What-if analysis Use Goal Seek to meet targets Forecast reports with the Scenario Manager 7 Recording Macros Macro security Understanding a Relative References macro Recording, running and editing macros Saving files as Macro Enabled Workbooks Introduction to VBA code Making macros available across workbooks Add a macro button to the Quick Access toolbar

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level class for intermediate skilled team members. Students should have prior software development experience or exposure, have some basic familiarity with containers, and should also be able to navigate the command line. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. 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 led by our expert facilitator, students will explore: What a Kubernetes cluster is, and how to deploy and manage them on-premises and in the cloud. How Kubernetes fits into the cloud-native ecosystem, and how it interfaces with other important technologies such as Docker. The major Kubernetes components that let us deploy and manage applications in a modern cloud-native fashion. How to define and manage applications with declarative manifest files that should be version-controlled and treated like code. Containerization has taken the IT world by storm in the last few years. Large software houses, starting from Google and Amazon, are running significant portions of their production load in containers. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. This is a hands-on workshop style course that teaches core features and functionality of Kubernetes. You will leave this course knowing how to build a Kubernetes cluster, and how to deploy and manage applications on that cluster. Getting Started Our sample application Kubernetes concepts Declarative vs imperative Kubernetes network model First contact with kubectl Setting up Kubernetes Working with Containers Running our first containers on Kubernetes Exposing containers Shipping images with a registry Running our application on Kubernetes Exploring the Kubernetes Dashboard The Kubernetes dashboard Security implications of kubectl apply Scaling a deployment Daemon sets Labels and selectors Rolling updates Next Steps Accessing logs from the CLI Managing stacks with Helm Namespaces Next steps

An exciting 10-week course to build your Spanish skills from scratch. Practical applications for travel & conversation. Enlarge your vocabulary, improve your grammar in a pain-free, step-by-step way, working with a tutor with 10+ years' experience & a small group of learners.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.

Bunnyfoot were the pioneers and are now one of the leading providers of the Certified Professional for Usability and User Experience – Foundation Level (CPUX-F) in the United Kingdom. Created in association with the international UXQB, this professional 3-day UX certification programme covers user experience methods and theories – and is independently assessed/certified.

Duration 2 Days 12 CPD hours This course is intended for Application Consultants, Business Analysts, and Program Managers Overview Describe how to organize and run payroll including subsequent activities and problem-solving aids This course provides the mandatory foundation knowledge required for processing payroll transactions in SAP HCM. Payroll Overview Setting Up the User Interface Identifying Payroll Elements Payroll Data Entering payroll data Payroll Elements Organizing a Payroll Run Reviewing the Payroll Status Infotype Identifying Retroactive Payroll Entries Payroll Process Running Payroll Payroll Reports Reporting on Payroll Generating Remuneration Statements Analyzing Payroll Results Analyzing Wage Types Reviewing Ad Hoc Query Functionality Post Payroll Results Posting Environments Verifying a Posting Run Updating a Live Posting Run Verifying Documents Bank Transfers & Check Preparation Generating Employee Payments Process Model Running a Payroll Process Model SuccessFactors Employee Central Payroll Outling employee central payroll basics

Learn how to use Macros in Excel to automate your work and start to see the power these can give you. Course overview Duration: 1 day (6.5 hours) Our Excel – Working with Macros course aims to show how macros can be used to automate commonly used commands and processes. This course is designed for existing experienced users of Excel. You should be confident creating and manipulating Excel spreadsheets and creating formulas before attending this course. Objectives By the end of the course you will be able to: Record and run macros Navigate within the Visual Basic Environment Edit pre-recorded macros Create your own functions Content Recording macros Accessing the Developer Tab Naming conventions and storage locations Recording macros Absolute and relative cell addressing Running macros Assigning macros to the Quick Access Toolbar Assigning macros to objects Creating new tabs Workbook macros Recording macros in a specific workbook Saving the workbook as an Excel Macro-Enabled Workbook Creating quick access items specific to workbooks Importing and manipulating data Importing Delimited Text Files Importing Fixed Width Text Files The Visual Basic environment Project explorer Code window Properties window Renaming modules Deleting modules Working with code Code structure Adding comments Navigating within your code Editing macro code Getting help with syntax Debugging Errors Using debug Function procedures Creating function macros