1422 Analytics courses

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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.

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. ON THIS COURSE YOU WILL: * Become a competent model builder, building Real Estate Financial Models from scratch * Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia * Learn how to use Real Estate Financial Models to make informed investment decisions * Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill THIS COURSE IS SUITABLE FOR: * Chartered Surveyors * Asset Managers * Financial Controllers * Financial Analysts * Investment Managers * Property Managers * Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. * Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. * Why Real Estate Asset Modelling is important * Understanding the occupier, asset and development markets and the relevant modelling approaches for each * Real Estate Sub-Sector Key Performance Indicators * Introduction to conventional valuations and financial mathematics * Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. * Understanding all the components of a basic cash flow model * Understand why Corporate Finance Models and Real Estate Models are different * Financial Model Design * Making the link between valuations, income mathematics and discounted cash flows * Internal Rate of Return, Net Present Value,Worth and other metrics * Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. * Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. * Developing the concept of a Rent Function in Excel * Logic mathematics and Logic functions * Projecting rent to adapt to different lease contracts and growth patterns * Alternative solutions to Logic functions * Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. * Key Property market indicators * Characteristics and application of key input metrics for Real Estate Appraisals * Understanding the eight components of Real Estate Price Dynamics * Awareness of the different sources of data * Reading and using general property market reports * Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. * Understanding the key components of a development project * Understanding the difference between development and investment appraisals * Residual Appraisals and Profit Calculations * Cost orientated cash flows and phased sales * Cumulative construction cost patterns: incidental, fixed, loaded and S-curve * Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. * Multi-let and portfolio model design principles * Building complex date functions and date series * The three multi-let rent projection techniques * Perpendicular Rent Functions * Incorporate advanced rent adjustments into the Rent Function * Incorporate sector and period varying rental growth rates * Simplifying OPEX and CAPEX projections * Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. * Revision of the Mathematics of amortisation and debt finance * Basic senior debt models and geared net cash flow * LTV, IRR and Interest Rate Dynamics * Flexible term, repayment options and deferred interest * Loan covenant tests * Understanding different tranches of debt * Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. * Understand how to read models and develop an investment narrative * Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards * Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins * Learn how to construct varied project scenarios in a systematic way * Introduction to Monte Carlo Analysis and VBA * Optimising sale dates and other parameters * Create well written, attractive and persuasive reports Included in the Course * Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge * 64 CPD Hours * 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee * Course Files * Q&A Webinars and Guest Speaker Webinars * Further Learning Resources (Reading, Files and Videos) * Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: * 3rd June to 29th July * 5th August to 25th September 2024 * 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com [https://www.bayfieldtraining.com/]

Duration 3 Days 18 CPD hours This three-day instructor-led course is aimed at modern device management professionals looking to manage their enterprise devices using Microsoft Intune. This course will cover Enrolment, Application Management, Endpoint Security and Windows Autopilot as well as Azure Active Directory Conditional Access and Identity Protection. The delegates will learn how to enroll devices, deploy applications and manage them to maximize user productivity and device security. 1: INTRODUCTION TO MICROSOFT INTUNE * Mobile Device Management * Microsoft Intune * Azure Active Directory * AAD Identity Protection * AAD Conditional Access 2: MICROSOFT INTUNE DEVICE MANAGEMENT * Enrolling Devices * Device Compliance * Device Profiles * Device Updates 3: MICROSOFT INTUNE APPLICATION MANAGEMENT * Application Management * Deploying Applications * Application Configuration * Managing Applications * Policy Sets and Guided Scenarios 4: MICROSOFT INTUNE ENDPOINT SECURITY * Security Baselines and tasks * Antivirus * Disk Encryption * Firewall * Atack Surface reduction * Endpoint detection and response * Account Protection 5: DEPLOYING WINDOWS WITH WINDOWS AUTOPILOT * Windows Autopilot overview * Preparing for Windows Autopilot deployment * Deploying Windows 11 using Windows Autopilot 6: MICROSOFT INTUNE ADDITIONAL AND PREMIUM FEATURES * Remote Help * Tunnel for Mobile Application Management * Endpoint Privilege Management * Advanced Endpoint Analytics ADDITIONAL COURSE DETAILS: Nexus Humans 55399 Implementing and Managing Microsoft Intune 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 55399 Implementing and Managing Microsoft Intune 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 Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms Prerequisites Successful learners will have prior knowledge and understanding of: * Cloud computing concepts, including an understanding of PaaS, SaaS, and IaaS implementations. * Both Azure administration and Azure development with proven expertise in at least one of these areas. * Version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software. * AZ-104T00 - Microsoft Azure Administrator * AZ-204T00: Developing Solutions for Microsoft Azure 1 - INTRODUCTION TO DEVOPS * What is DevOps? * Explore the DevOps journey * Identify transformation teams * Explore shared goals and define timelines 2 - CHOOSE THE RIGHT PROJECT * Explore greenfield and brownfield projects * Decide when to use greenfield and brownfield projects * Decide when to use systems of record versus systems of engagement * Identify groups to minimize initial resistance * Identify project metrics and key performance indicators (KPIs) 3 - DESCRIBE TEAM STRUCTURES * Explore agile development practices * Explore principles of agile development * Define organization structure for agile practices * Explore ideal DevOps team members * Enable in-team and cross-team collaboration * Select tools and processes for agile practices 4 - CHOOSE THE DEVOPS TOOLS * What is Azure DevOps? * What is GitHub? * Explore an authorization and access strategy * Migrate or integrate existing work management tools * Migrate or integrate existing test management tools * Design a license management strategy 5 - PLAN AGILE WITH GITHUB PROJECTS AND AZURE BOARDS * Link GitHub to Azure Boards * Configure GitHub Projects * Manage work with GitHub Project boards * Customize Project views * Collaborate using team discussions * Agile Plan and Portfolio Management with Azure Boards 6 - INTRODUCTION TO SOURCE CONTROL * Explore DevOps foundational practices * What is source control? * Explore benefits of source control * Explore best practices for source control 7 - DESCRIBE TYPES OF SOURCE CONTROL SYSTEMS * Understand centralized source control * Understand distributed source control * Explore Git and Team Foundation Version Control * Examine and choose Git * Understand objections to using Git * Describe working with Git locally 8 - WORK WITH AZURE REPOS AND GITHUB * Migrate from TFVC to Git * Use GIT-TFS * Develop online with GitHub Codespaces 9 - STRUCTURE YOUR GIT REPO * Explore monorepo versus multiple repos * Implement a change log 10 - MANAGE GIT BRANCHES AND WORKFLOWS * Explore branch workflow types * Explore feature branch workflow * Explore Git branch model for continuous delivery * Explore GitHub flow * Explore fork workflow * Version Control with Git in Azure Repos 11 - COLLABORATE WITH PULL REQUESTS IN AZURE REPOS * Collaborate with pull requests * Examine GitHub mobile for pull request approvals 12 - IDENTIFY TECHNICAL DEBT * Examine code quality * Examine complexity and quality metrics * Measure and manage technical debt * Integrate other code quality tools * Plan effective code reviews 13 - EXPLORE GIT HOOKS * Implement Git hooks 14 - PLAN FOSTER INNER SOURCE * Explore foster inner source * Implement the fork workflow * Describe inner source with forks 15 - MANAGE GIT REPOSITORIES * Work with large repositories * Purge repository data * Manage releases with GitHub Repos * Automate release notes with GitHub 16 - EXPLORE AZURE PIPELINES * Explore the concept of pipelines in DevOps * Describe Azure Pipelines * Understand Azure Pipelines key terms 17 - MANAGE AZURE PIPELINE AGENTS AND POOLS * Choose between Microsoft-hosted versus self-hosted agents * Explore job types * Explore predefined agent pool * Understand typical situations for agent pools * Communicate with Azure Pipelines * Communicate to deploy to target servers * Examine other considerations * Describe security of agent pools * Configure agent pools and understanding pipeline styles 18 - DESCRIBE PIPELINES AND CONCURRENCY * Understand parallel jobs * Estimate parallel jobs * Describe Azure Pipelines and open-source projects * Explore Azure Pipelines and Visual Designer * Describe Azure Pipelines and YAML 19 - EXPLORE CONTINUOUS INTEGRATION * Learn the four pillars of continuous integration * Explore benefits of continuous integration * Describe build properties * Enable Continuous Integration with Azure Pipelines 20 - IMPLEMENT A PIPELINE STRATEGY * Configure agent demands * Implement multi-agent builds * Explore source control types supported by Azure Pipelines 21 - INTEGRATE WITH AZURE PIPELINES * Describe the anatomy of a pipeline * Understand the pipeline structure * Detail templates * Explore YAML resources * Use multiple repositories in your pipeline 22 - INTRODUCTION TO GITHUB ACTIONS * What are Actions? * Explore Actions flow * Understand workflows * Describe standard workflow syntax elements * Explore events * Explore jobs * Explore runners * Examine release and test an action 23 - LEARN CONTINUOUS INTEGRATION WITH GITHUB ACTIONS * Describe continuous integration with actions * Examine environment variables * Share artifacts between jobs * Examine Workflow badges * Describe best practices for creating actions * Mark releases with Git tags * Create encrypted secrets * Use secrets in a workflow * Implement GitHub Actions for CI/CD 24 - DESIGN A CONTAINER BUILD STRATEGY * Examine structure of containers * Work with Docker containers * Understand Dockerfile core concepts * Examine multi-stage dockerfiles * Examine considerations for multiple stage builds * Explore Azure container-related services * Deploy Docker containers to Azure App Service web apps 25 - INTRODUCTION TO CONTINUOUS DELIVERY * Explore traditional IT development cycle * What is continuous delivery? * Move to continuous delivery * Understand releases and deployments * Understand release process versus release 26 - CREATE A RELEASE PIPELINE * Describe Azure DevOps release pipeline capabilities * Explore release pipelines * Explore artifact sources * Choose the appropriate artifact source * Examine considerations for deployment to stages * Explore build and release tasks * Explore custom build and release tasks * Explore release jobs * Configure Pipelines as Code with YAML 27 - EXPLORE RELEASE RECOMMENDATIONS * Understand the delivery cadence and three types of triggers * Explore release approvals * Explore release gates * Use release gates to protect quality * Control Deployments using Release Gates 28 - PROVISION AND TEST ENVIRONMENTS * Provision and configure target environments * Configure automated integration and functional test automation * Understand Shift-left * Set up and run availability tests * Explore Azure Load Testing * Set up and run functional tests 29 - MANAGE AND MODULARIZE TASKS AND TEMPLATES * Examine task groups * Explore variables in release pipelines * Understand variable groups 30 - AUTOMATE INSPECTION OF HEALTH * Automate inspection of health * Explore events and notifications * Explore service hooks * Configure Azure DevOps notifications * Configure GitHub notifications * Explore how to measure quality of your release process * Examine release notes and documentation * Examine considerations for choosing release management tools * Explore common release management tools 31 - INTRODUCTION TO DEPLOYMENT PATTERNS * Explore microservices architecture * Examine classical deployment patterns * Understand modern deployment patterns 32 - IMPLEMENT BLUE-GREEN DEPLOYMENT AND FEATURE TOGGLES * What is blue-green deployment? * Explore deployment slots * Describe feature toggle maintenance 33 - IMPLEMENT CANARY RELEASES AND DARK LAUNCHING * Explore canary releases * Examine Traffic Manager * Understand dark launching 34 - IMPLEMENT A/B TESTING AND PROGRESSIVE EXPOSURE DEPLOYMENT * What is A/B testing? * Explore CI-CD with deployment rings 35 - INTEGRATE WITH IDENTITY MANAGEMENT SYSTEMS * Integrate GitHub with single sign-on (SSO) * Explore service principals * Explore Managed Identity 36 - MANAGE APPLICATION CONFIGURATION DATA * Rethink application configuration data * Explore separation of concerns * Understand external configuration store patterns * Examine Key-value pairs * Examine App configuration feature management * Integrate Azure Key Vault with Azure Pipelines * Manage secrets, tokens and certificates * Examine DevOps inner and outer loop * Integrate Azure Key Vault with Azure DevOps * Enable Dynamic Configuration and Feature Flags 37 - EXPLORE INFRASTRUCTURE AS CODE AND CONFIGURATION MANAGEMENT * Explore environment deployment * Examine environment configuration * Understand imperative versus declarative configuration * Understand idempotent configuration 38 - CREATE AZURE RESOURCES USING AZURE RESOURCE MANAGER TEMPLATES * Why use Azure Resource Manager templates? * Explore template components * Manage dependencies * Modularize templates * Manage secrets in templates * Deployments using Azure Bicep templates 39 - CREATE AZURE RESOURCES BY USING AZURE CLI * What is Azure CLI? * Work with Azure CLI 40 - EXPLORE AZURE AUTOMATION WITH DEVOPS * Create automation accounts * What is a runbook? * Understand automation shared resources * Explore runbook gallery * Examine webhooks * Explore source control integration * Explore PowerShell workflows * Create a workflow * Examine checkpoint and parallel processing 41 - IMPLEMENT DESIRED STATE CONFIGURATION (DSC) * Understand configuration drift * Explore Desired State Configuration (DSC) * Explore Azure Automation State configuration (DSC) * Examine DSC configuration file * Explore hybrid management * Implement DSC and Linux Automation on Azure 42 - IMPLEMENT BICEP * What is Bicep? * Install Bicep * Understand Bicep file structure and syntax 43 - INTRODUCTION TO SECURE DEVOPS * Describe SQL injection attack * Understand DevSecOps * Explore Secure DevOps Pipeline * Explore key validation points * Explore continuous security validation * Understand threat modeling 44 - IMPLEMENT OPEN-SOURCE SOFTWARE * Explore how software is built * What is open-source software * Explore corporate concerns with open-source software components * Explore common open-source licenses * Examine license implications and ratings 45 - SOFTWARE COMPOSITION ANALYSIS * Inspect and validate code bases for compliance * Explore software composition analysis (SCA) * Integrate Mend with Azure Pipelines * Implement GitHub Dependabot alerts and security updates * Integrate software composition analysis checks into pipelines * Examine tools for assess package security and license rate * Interpret alerts from scanner tools * Implement security and compliance in an Azure Pipeline 46 - STATIC ANALYZERS * Explore SonarCloud * Explore CodeQL in GitHub * Manage technical debt with SonarCloud and Azure DevOps 47 - OWASP AND DYNAMIC ANALYZERS * Plan Implement OWASP Secure Coding Practices * Explore OWASP ZAP penetration test * Explore OWASP ZAP results and bugs 48 - SECURITY MONITORING AND GOVERNANCE * Implement pipeline security * Explore Microsoft Defender for Cloud * Examine Microsoft Defender for Cloud usage scenarios * Explore Azure Policy * Understand policies * Explore initiatives * Explore resource locks * Explore Azure Blueprints * Understand Microsoft Defender for Identity 49 - EXPLORE PACKAGE DEPENDENCIES * What is dependency management? * Describe elements of a dependency management strategy * Identify dependencies * Understand source and package componentization * Decompose your system * Scan your codebase for dependencies 50 - UNDERSTAND PACKAGE MANAGEMENT * Explore packages * Understand package feeds * Explore package feed managers * Explore common public package sources * Explore self-hosted and SaaS based package sources * Consume packages * Publish packages * Package management with Azure Artifacts 51 - MIGRATE CONSOLIDATING AND SECURE ARTIFACTS * Identify existing artifact repositories * Migrate and integrating artifact repositories * Secure access to package feeds * Examine roles * Examine permissions * Examine authentication 52 - IMPLEMENT A VERSIONING STRATEGY * Understand versioning of artifacts * Explore semantic versioning * Examine release views * Promote packages * Explore best practices for versioning 53 - INTRODUCTION TO GITHUB PACKAGES * Publish packages * Install a package * Delete and restore a package * Explore package access control and visibility 54 - IMPLEMENT TOOLS TO TRACK USAGE AND FLOW * Understand the inner loop * Explore Azure Monitor and Log Analytics * Examine Kusto Query Language (KQL) * Explore Application Insights * Implement Application Insights * Monitor application performance with Application Insights 55 - DEVELOP MONITOR AND STATUS DASHBOARDS * Explore Azure Dashboards * Examine view designer in Azure Monitor * Explore Azure Monitor workbooks * Explore Power BI * Build your own custom application 56 - SHARE KNOWLEDGE WITHIN TEAMS * Share acquired knowledge within development teams * Integrate with Azure Boards * Share team knowledge using Azure Project Wiki 57 - DESIGN PROCESSES TO AUTOMATE APPLICATION ANALYTICS * Explore rapid responses and augmented search * Integrate telemetry * Examine monitoring tools and technologies 58 - MANAGE ALERTS, BLAMELESS RETROSPECTIVES AND A JUST CULTURE * Examine when get a notification * Explore how to fix it * Explore smart detection notifications * Improve performance * Understand server response time degradation * Reduce meaningless and non-actionable alerts * Examine blameless retrospective * Develop a just culture

Duration 4 Days 24 CPD hours This course is intended for The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies. Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst. Prerequisites Basic understanding of Microsoft 365 Fundamental understanding of Microsoft security, compliance, and identity products Intermediate understanding of Windows 10 Familiarity with Azure services, specifically Azure SQL Database and Azure Storage Familiarity with Azure virtual machines and virtual networking Basic understanding of scripting concepts. 1 - INTRODUCTION TO MICROSOFT 365 THREAT PROTECTION * Explore Extended Detection & Response (XDR) response use cases * Understand Microsoft Defender XDR in a Security Operations Center (SOC) * Explore Microsoft Security Graph * Investigate security incidents in Microsoft Defender XDR 2 - MITIGATE INCIDENTS USING MICROSOFT 365 DEFENDER * Use the Microsoft Defender portal * Manage incidents * Investigate incidents * Manage and investigate alerts * Manage automated investigations * Use the action center * Explore advanced hunting * Investigate Microsoft Entra sign-in logs * Understand Microsoft Secure Score * Analyze threat analytics * Analyze reports * Configure the Microsoft Defender portal 3 - PROTECT YOUR IDENTITIES WITH MICROSOFT ENTRA ID PROTECTION * Microsoft Entra ID Protection overview * Detect risks with Microsoft Entra ID Protection policies * Investigate and remediate risks detected by Microsoft Entra ID Protection 4 - REMEDIATE RISKS WITH MICROSOFT DEFENDER FOR OFFICE 365 * Automate, investigate, and remediate * Configure, protect, and detect * Simulate attacks 5 - SAFEGUARD YOUR ENVIRONMENT WITH MICROSOFT DEFENDER FOR IDENTITY * Configure Microsoft Defender for Identity sensors * Review compromised accounts or data * Integrate with other Microsoft tools 6 - SECURE YOUR CLOUD APPS AND SERVICES WITH MICROSOFT DEFENDER FOR CLOUD APPS * Understand the Defender for Cloud Apps Framework * Explore your cloud apps with Cloud Discovery * Protect your data and apps with Conditional Access App Control * Walk through discovery and access control with Microsoft Defender for Cloud Apps * Classify and protect sensitive information * Detect Threats 7 - RESPOND TO DATA LOSS PREVENTION ALERTS USING MICROSOFT 365 * Describe data loss prevention alerts * Investigate data loss prevention alerts in Microsoft Purview * Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps 8 - MANAGE INSIDER RISK IN MICROSOFT PURVIEW * Insider risk management overview * Create and manage insider risk policies * Investigate insider risk alerts * Take action on insider risk alerts through cases * Manage insider risk management forensic evidence * Create insider risk management notice templates 9 - INVESTIGATE THREATS BY USING AUDIT FEATURES IN MICROSOFT DEFENDER XDR AND MICROSOFT PURVIEW STANDARD * Explore Microsoft Purview Audit solutions * Implement Microsoft Purview Audit (Standard) * Start recording activity in the Unified Audit Log * Search the Unified Audit Log (UAL) * Export, configure, and view audit log records * Use audit log searching to investigate common support issues 10 - INVESTIGATE THREATS USING AUDIT IN MICROSOFT DEFENDER XDR AND MICROSOFT PURVIEW (PREMIUM) * Explore Microsoft Purview Audit (Premium) * Implement Microsoft Purview Audit (Premium) * Manage audit log retention policies * Investigate compromised email accounts using Purview Audit (Premium) 11 - INVESTIGATE THREATS WITH CONTENT SEARCH IN MICROSOFT PURVIEW * Explore Microsoft Purview eDiscovery solutions * Create a content search * View the search results and statistics * Export the search results and search report * Configure search permissions filtering * Search for and delete email messages 12 - PROTECT AGAINST THREATS WITH MICROSOFT DEFENDER FOR ENDPOINT * Practice security administration * Hunt threats within your network 13 - DEPLOY THE MICROSOFT DEFENDER FOR ENDPOINT ENVIRONMENT * Create your environment * Understand operating systems compatibility and features * Onboard devices * Manage access * Create and manage roles for role-based access control * Configure device groups * Configure environment advanced features 14 - IMPLEMENT WINDOWS SECURITY ENHANCEMENTS WITH MICROSOFT DEFENDER FOR ENDPOINT * Understand attack surface reduction * Enable attack surface reduction rules 15 - PERFORM DEVICE INVESTIGATIONS IN MICROSOFT DEFENDER FOR ENDPOINT * Use the device inventory list * Investigate the device * Use behavioral blocking * Detect devices with device discovery 16 - PERFORM ACTIONS ON A DEVICE USING MICROSOFT DEFENDER FOR ENDPOINT * Explain device actions * Run Microsoft Defender antivirus scan on devices * Collect investigation package from devices * Initiate live response session 17 - PERFORM EVIDENCE AND ENTITIES INVESTIGATIONS USING MICROSOFT DEFENDER FOR ENDPOINT * Investigate a file * Investigate a user account * Investigate an IP address * Investigate a domain 18 - CONFIGURE AND MANAGE AUTOMATION USING MICROSOFT DEFENDER FOR ENDPOINT * Configure advanced features * Manage automation upload and folder settings * Configure automated investigation and remediation capabilities * Block at risk devices 19 - CONFIGURE FOR ALERTS AND DETECTIONS IN MICROSOFT DEFENDER FOR ENDPOINT * Configure advanced features * Configure alert notifications * Manage alert suppression * Manage indicators 20 - UTILIZE VULNERABILITY MANAGEMENT IN MICROSOFT DEFENDER FOR ENDPOINT * Understand vulnerability management * Explore vulnerabilities on your devices * Manage remediation 21 - PLAN FOR CLOUD WORKLOAD PROTECTIONS USING MICROSOFT DEFENDER FOR CLOUD * Explain Microsoft Defender for Cloud * Describe Microsoft Defender for Cloud workload protections * Enable Microsoft Defender for Cloud 22 - CONNECT AZURE ASSETS TO MICROSOFT DEFENDER FOR CLOUD * Explore and manage your resources with asset inventory * Configure auto provisioning * Manual log analytics agent provisioning 23 - CONNECT NON-AZURE RESOURCES TO MICROSOFT DEFENDER FOR CLOUD * Protect non-Azure resources * Connect non-Azure machines * Connect your AWS accounts * Connect your GCP accounts 24 - MANAGE YOUR CLOUD SECURITY POSTURE MANAGEMENT? * Explore Secure Score * Explore Recommendations * Measure and enforce regulatory compliance * Understand Workbooks 25 - EXPLAIN CLOUD WORKLOAD PROTECTIONS IN MICROSOFT DEFENDER FOR CLOUD * Understand Microsoft Defender for servers * Understand Microsoft Defender for App Service * Understand Microsoft Defender for Storage * Understand Microsoft Defender for SQL * Understand Microsoft Defender for open-source databases * Understand Microsoft Defender for Key Vault * Understand Microsoft Defender for Resource Manager * Understand Microsoft Defender for DNS * Understand Microsoft Defender for Containers * Understand Microsoft Defender additional protections 26 - REMEDIATE SECURITY ALERTS USING MICROSOFT DEFENDER FOR CLOUD * Understand security alerts * Remediate alerts and automate responses * Suppress alerts from Defender for Cloud * Generate threat intelligence reports * Respond to alerts from Azure resources 27 - CONSTRUCT KQL STATEMENTS FOR MICROSOFT SENTINEL * Understand the Kusto Query Language statement structure * Use the search operator * Use the where operator * Use the let statement * Use the extend operator * Use the order by operator * Use the project operators 28 - ANALYZE QUERY RESULTS USING KQL * Use the summarize operator * Use the summarize operator to filter results * Use the summarize operator to prepare data * Use the render operator to create visualizations 29 - BUILD MULTI-TABLE STATEMENTS USING KQL * Use the union operator * Use the join operator 30 - WORK WITH DATA IN MICROSOFT SENTINEL USING KUSTO QUERY LANGUAGE * Extract data from unstructured string fields * Extract data from structured string data * Integrate external data * Create parsers with functions 31 - INTRODUCTION TO MICROSOFT SENTINEL * What is Microsoft Sentinel? * How Microsoft Sentinel works * When to use Microsoft Sentinel 32 - CREATE AND MANAGE MICROSOFT SENTINEL WORKSPACES * Plan for the Microsoft Sentinel workspace * Create a Microsoft Sentinel workspace * Manage workspaces across tenants using Azure Lighthouse * Understand Microsoft Sentinel permissions and roles * Manage Microsoft Sentinel settings * Configure logs 33 - QUERY LOGS IN MICROSOFT SENTINEL * Query logs in the logs page * Understand Microsoft Sentinel tables * Understand common tables * Understand Microsoft Defender XDR tables 34 - USE WATCHLISTS IN MICROSOFT SENTINEL * Plan for watchlists * Create a watchlist * Manage watchlists 35 - UTILIZE THREAT INTELLIGENCE IN MICROSOFT SENTINEL * Define threat intelligence * Manage your threat indicators * View your threat indicators with KQL 36 - CONNECT DATA TO MICROSOFT SENTINEL USING DATA CONNECTORS * Ingest log data with data connectors * Understand data connector providers * View connected hosts 37 - CONNECT MICROSOFT SERVICES TO MICROSOFT SENTINEL * Plan for Microsoft services connectors * Connect the Microsoft Office 365 connector * Connect the Microsoft Entra connector * Connect the Microsoft Entra ID Protection connector * Connect the Azure Activity connector 38 - CONNECT MICROSOFT DEFENDER XDR TO MICROSOFT SENTINEL * Plan for Microsoft Defender XDR connectors * Connect the Microsoft Defender XDR connector * Connect Microsoft Defender for Cloud connector * Connect Microsoft Defender for IoT * Connect Microsoft Defender legacy connectors 39 - CONNECT WINDOWS HOSTS TO MICROSOFT SENTINEL * Plan for Windows hosts security events connector * Connect using the Windows Security Events via AMA Connector * Connect using the Security Events via Legacy Agent Connector * Collect Sysmon event logs 40 - CONNECT COMMON EVENT FORMAT LOGS TO MICROSOFT SENTINEL * Plan for Common Event Format connector * Connect your external solution using the Common Event Format connector 41 - CONNECT SYSLOG DATA SOURCES TO MICROSOFT SENTINEL * Plan for syslog data collection * Collect data from Linux-based sources using syslog * Configure the Data Collection Rule for Syslog Data Sources * Parse syslog data with KQL 42 - CONNECT THREAT INDICATORS TO MICROSOFT SENTINEL * Plan for threat intelligence connectors * Connect the threat intelligence TAXII connector * Connect the threat intelligence platforms connector * View your threat indicators with KQL 43 - THREAT DETECTION WITH MICROSOFT SENTINEL ANALYTICS * What is Microsoft Sentinel Analytics? * Types of analytics rules * Create an analytics rule from templates * Create an analytics rule from wizard * Manage analytics rules 44 - AUTOMATION IN MICROSOFT SENTINEL * Understand automation options * Create automation rules 45 - THREAT RESPONSE WITH MICROSOFT SENTINEL PLAYBOOKS * What are Microsoft Sentinel playbooks? * Trigger a playbook in real-time * Run playbooks on demand 46 - SECURITY INCIDENT MANAGEMENT IN MICROSOFT SENTINEL * Understand incidents * Incident evidence and entities * Incident management 47 - IDENTIFY THREATS WITH BEHAVIORAL ANALYTICS * Understand behavioral analytics * Explore entities * Display entity behavior information * Use Anomaly detection analytical rule templates 48 - DATA NORMALIZATION IN MICROSOFT SENTINEL * Understand data normalization * Use ASIM Parsers * Understand parameterized KQL functions * Create an ASIM Parser * Configure Azure Monitor Data Collection Rules 49 - QUERY, VISUALIZE, AND MONITOR DATA IN MICROSOFT SENTINEL * Monitor and visualize data * Query data using Kusto Query Language * Use default Microsoft Sentinel Workbooks * Create a new Microsoft Sentinel Workbook 50 - MANAGE CONTENT IN MICROSOFT SENTINEL * Use solutions from the content hub * Use repositories for deployment 51 - EXPLAIN THREAT HUNTING CONCEPTS IN MICROSOFT SENTINEL * Understand cybersecurity threat hunts * Develop a hypothesis * Explore MITRE ATT&CK 52 - THREAT HUNTING WITH MICROSOFT SENTINEL * Explore creation and management of threat-hunting queries * Save key findings with bookmarks * Observe threats over time with livestream 53 - USE SEARCH JOBS IN MICROSOFT SENTINEL * Hunt with a Search Job * Restore historical data 54 - HUNT FOR THREATS USING NOTEBOOKS IN MICROSOFT SENTINEL * Access Azure Sentinel data with external tools * Hunt with notebooks * Create a notebook * Explore notebook code

This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career. -------------------------------------------------------------------------------- PYTHON BOOTCAMP: This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer. If you have more questions goto https://pcworkshopslondon.co.uk/contact.html  [http://pcworkshopslondon.co.uk/contact.html], Or contact us on training@pcworkshopslondon.co.uk [https://pcworkshopslondon.co.uk/] Customise dates, course outline, arrange installments [https://pcworkshopslondon.co.uk/contact.htm] This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession.    Duration: 3 months: * 1 Python class per week, * Plus pratical work, * Plus personal trainer-mentor for 1-1 training, * Plus e-learning materials. Final project : Practical to upload to GitHub and show-case Date and times, choose: * Fridays in London or Online , 10am - 5pm, * or Saturdays in London or Online , 12noon-6pm, * or negotiate your date Study level: Start from beginners level to in-depth, ready to work professionally. Virtual attendance:  online instructor-led  Download: Anaconda.com Pre-requisites: General computer literacy. Oracle Qualification: PCWorkshops Python Programmer Certificate Payments:  You may apply to pay in installments for this Python Training course COURSE OUTLINE Week 1 - 4: Essentials 1. Python Coding Basics 2. Object Oriented programming: Python Object Orientated programming (OOP) 3. UX Principles: UX Principles and applying it on Front-ends with TKinter 4. Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas Week 5 - 10 : All about data 1. Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file 2. Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project 3. Data Analytics: Numpy. Pandas for data analytics and data queries. 4. Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc. 5. Data visualisation: MatPlotLib 6. Prediction: Machine Learning Basics Week 11 and 12: The final touch 1. Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks 2. Python Unit Testing 3. Optional : Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends INCLUDED: * PCWorkshops Python Course Certificate on completion. * Python Course notes. * Practical Course exercises, Code Examples, Online Materials. * After the course, continuous assistance with practical and preparation for exams * Max group size on this is 4. * Portfolio: Post your Python project online. * Exam preparation and interview questions MORE ABOUT THE ONLINE CLASSROOM *  Attend from your internet connection *  Instructor-led, get instant answers to your questions *  Fully interactive *  Work clearly explained with demonstrations and examples *  Practical exercises to be tried out by delegate WHAT YOU WILL GAIN: * Skills & knowledge: Python coding knowledge and understanding with good practical application   * Certification: Internal PCWorkshops Python certificate * Portfolio: You will have an online portfolio of Python projects  * Experience: Our comprehensive practical makes you job ready -------------------------------------------------------------------------------- REFUND POLICY No Refunds

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: * Learn how to clean, transform, and load data from many sources * Use database queries in Power Query to combine tables using append and merge * Create and manage a data model in Power BI consisting of multiple tables connected with relationships * Build Measures and other calculations in the DAX language to plot in reports * Manage advanced time calculations using date tables * Optimise report calculations using the Performance Analyzer * Manage and share report assets to the Power BI Service * Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? * Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence * Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions * Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system * Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps * Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics * Data analytics and Microsoft * Getting Started with Power BI Module 2 Get Data In Power BI * Get data from various data sources * Optimize performance * Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI * Data shaping * Data profiling * Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI * Introduction to data modelling * Working with Tables * Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI * Introduction to DAX * Real-time Dashboards * Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance * Optimize the data model for performance * Optimize DirectQuery models Module 7 Create Reports * Design a Report * Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards * Create a Dashboard * Real-time Dashboards * Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics * Advanced analytics * Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces * Creating Workspaces * Sharing and managing assets Module 11 Manage Datasets In Power BI * Parameters * Datasets Module 12 Row-Level Security * Security in Power BI Lab: Enforce Row-Level Security

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - IDENTIFYING BASIC CONCEPTS OF DATA SCHEMAS * Identify Relational and Non-Relational Databases * Understand the Way We Use Tables, Primary Keys, and Normalization 2 - UNDERSTANDING DIFFERENT DATA SYSTEMS * Describe Types of Data Processing and Storage Systems * Explain How Data Changes 3 - UNDERSTANDING TYPES AND CHARACTERISTICS OF DATA * Understand Types of Data * Break Down the Field Data Types 4 - COMPARING AND CONTRASTING DIFFERENT DATA STRUCTURES, FORMATS, AND MARKUP LANGUAGES * Differentiate between Structured Data and Unstructured Data * Recognize Different File Formats * Understand the Different Code Languages Used for Data 5 - EXPLAINING DATA INTEGRATION AND COLLECTION METHODS * Understand the Processes of Extracting, Transforming, and Loading Data * Explain API/Web Scraping and Other Collection Methods * Collect and Use Public and Publicly-Available Data * Use and Collect Survey Data 6 - IDENTIFYING COMMON REASONS FOR CLEANSING AND PROFILING DATA * Learn to Profile Data * Address Redundant, Duplicated, and Unnecessary Data * Work with Missing Value * Address Invalid Data * Convert Data to Meet Specifications 7 - EXECUTING DIFFERENT DATA MANIPULATION TECHNIQUES * Manipulate Field Data and Create Variables * Transpose and Append Data * Query Data 8 - EXPLAINING COMMON TECHNIQUES FOR DATA MANIPULATION AND OPTIMIZATION * Use Functions to Manipulate Data * Use Common Techniques for Query Optimization 9 - APPLYING DESCRIPTIVE STATISTICAL METHODS * Use Measures of Central Tendency * Use Measures of Dispersion * Use Frequency and Percentages 10 - DESCRIBING KEY ANALYSIS TECHNIQUES * Get Started with Analysis * Recognize Types of Analysis 11 - UNDERSTANDING THE USE OF DIFFERENT STATISTICAL METHODS * Understand the Importance of Statistical Tests * Break Down the Hypothesis Test * Understand Tests and Methods to Determine Relationships Between Variables 12 - USING THE APPROPRIATE TYPE OF VISUALIZATION * Use Basic Visuals * Build Advanced Visuals * Build Maps with Geographical Data * Use Visuals to Tell a Story 13 - EXPRESSING BUSINESS REQUIREMENTS IN A REPORT FORMAT * Consider Audience Needs When Developing a Report * Describe Data Source Considerations For Reporting * Describe Considerations for Delivering Reports and Dashboards * Develop Reports or Dashboards * Understand Ways to Sort and Filter Data 14 - DESIGNING COMPONENTS FOR REPORTS AND DASHBOARDS * Design Elements for Reports and Dashboards * Utilize Standard Elements * Creating a Narrative and Other Written Elements * Understand Deployment Considerations 15 - UNDERSTAND DEPLOYMENT CONSIDERATIONS * Understand How Updates and Timing Affect Reporting * Differentiate Between Types of Reports 16 - SUMMARIZING THE IMPORTANCE OF DATA GOVERNANCE * Define Data Governance * Understand Access Requirements and Policies * Understand Security Requirements * Understand Entity Relationship Requirements 17 - APPLYING QUALITY CONTROL TO DATA * Describe Characteristics, Rules, and Metrics of Data Quality * Identify Reasons to Quality Check Data and Methods of Data Validation 18 - EXPLAINING MASTER DATA MANAGEMENT CONCEPTS * Explain the Basics of Master Data Management * Describe Master Data Management Processes ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Data Plus (DA0-001) 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 Data Plus (DA0-001) 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 1 Days 6 CPD hours This course is intended for The intended audience for this course would be those who have been using Office 365 for some time and are now looking at optimizing their existing business processes and designing new ones. Overview #NAME? This course delivers an instructor-led product showcase for Microsoft Power Automate from start to finish in an engaging and practical way. Power Automate is a diverse product, turning business processes into automated, consistent and visual workPower Automates. Power Automate is designed to interweave the various products in Office 365 as well as connect to other on-premises and web-based solutions. This course will give you the confidence to select the right actions and workPower Automate logic for your business workPower Automates. 1 - AN INTRODUCTION TO POWER AUTOMATE * What is Microsoft Power Automate? * The benefits of automation * How to get to Power Automate * Lab 1: Setup your tenant * Setup Office 365 * Download Course Files * Customise your App Launcher * Create accounts for colleagues * After completing this module, students will be able to: * Know what Microsoft Power Automate is * The Benefits of using Power Automate to automate processes * How to access a Power Automate 2 - GETTING STARTED WITH POWER AUTOMATE * Using Power Automate templates * Navigating in Power Automate * Editing a Power Automate * Publish and trigger a Power Automate * Turn off or delete a Power Automate * Lab 1: Building processes in Office 365 * Create a Team with a channel * Build an absence business process * Testing the absence process * Optional: Create Feedback Form * Optional: Power Automate to Notify of Bad Ratings * Optional: Test your Form and Power Automate * After completing this module, students will be able to: * How to use Power Automate tempaltes * How to navigate around Power Automate * How to edit Power Automates * How to publish and trigger Power Automates * How to turn off or delete Power Automates 3 - POWER AUTOMATE LOGIC * Adding conditions * Designing switches * Using apply to each * Configuring do until logic * Adding a scope * Lab 1: Scheduling documentation reviews * Setup a policy library in SharePoint * Design a policy review schedule * Testing the policy review process * Optional: Notify if a file nears review * After completing this module, students will be able to: * How to add condtions in a Power Automate * How to design switches for a Power Automate * How to use apply to each * How to configure do until logic * How to add a scope 4 - INTEGRATION * Standard and premium connectors * Connecting to web services * Using Power Automate with on-premises data * Lab 1: Using Power Automate and SQL to Review Sales * Create a new orders list * Designing the price check process * Testing the price check process * Optional: Update with managers * After completing this module, students will be able to: * How to use Standard and Premium connectors * How to connect to web services * How to using Power Automate with on-premises data 5 - THE MOBILE APP * Downloading the mobile app * Signing in and account management * Building and managing Power Automates * Creating buttons * Feeds and approvals * Lab 1: Optional: Using the Power Automate mobile app * Setting up the Power Automate mobile app * Create a new Power Automate in the mobile app * Using Power Automate buttons in the app * Uninstall the Power Automate mobile app * After completing this module, students will be able to: * How to download the mobile app * How to sign into the mobile app * How to build and manage Power Automates in the mobile app * How to create buttons in the mobile app * How to feed and use approvals in the mobile app 6 - ADMINISTRATION AND MAINTENANCE * Maintaining a Power Automate * View history and analytics * Sharing a Power Automate * Export and import Power Automates * Office 365 administration for Power Automate * Environments * Data policies * Data integration * Lab 1: Maintaining your Power Automates * Share a Power Automate with a colleague * Disabling an active Power Automate * Deleting a Power Automate * After completing this module, students will be able to: * How to maintain a Power Automate * How to view history and analytics for a Power Automate * How to share a Power Automate * How to export and import Power Automates * How to administrate a Power Automate in Office 365 * How to use data policies in a Power Automate * How to use data integration in a Power Automate