Row courses in Manchester

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.

This Practical SQL course, is designed make you fully conversant with queries, DML and DDL statements. Hands-on, Practical SQL course. You will get the PCWorkshops SQL Course Certificate. Max 4 people per course, to keep it personalised.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Overview Create sophisticated SSIS packages for extracting, transforming, and loading data Use containers to efficiently control repetitive tasks and transactions Configure packages to dynamically adapt to environment changes Use Data Quality Services to cleanse data Successfully troubleshoot packages Create and Manage the SSIS Catalog Deploy, configure, and schedule packages Secure the SSIS Catalog SQL Server Integration Services is the Community Courseware version of 20767CC Implementing a SQL Data Warehouse. This five-day instructor-led course is intended for IT professionals who need to learn how to use SSIS to build, deploy, maintain, and secure Integration Services projects and packages, and to use SSIS to extract, transform, and load data to and from SQL Server. This course is similar to the retired Course 20767-C: Implementing a SQL Data Warehouse but focuses more on building packages, rather than the entire data warehouse design and implementation. Prerequisites Working knowledge of T-SQL and SQL Server Agent jobs is helpful, but not required. Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of relational databases. Some experience with database design. 1 - SSIS Overview Import/Export Wizard Exporting Data with the Wizard Common Import Concerns Quality Checking Imported/Exported Data 2 - Working with Solutions and Projects Working with SQL Server Data Tools Understanding Solutions and Projects Working with the Visual Studio Interface 3 - Basic Control Flow Working with Tasks Understanding Precedence Constraints Annotating Packages Grouping Tasks Package and Task Properties Connection Managers Favorite Tasks 4 - Common Tasks Analysis Services Processing Data Profiling Task Execute Package Task Execute Process Task Expression Task File System Task FTP Task Hadoop Task Script Task Introduction Send Mail Task Web Service Task XML Task 5 - Data Flow Sources and Destinations The Data Flow Task The Data Flow SSIS Toolbox Working with Data Sources SSIS Data Sources Working with Data Destinations SSIS Data Destinations 6 - Data Flow Transformations Transformations Configuring Transformations 7 - Making Packages Dynamic Features for Making Packages Dynamic Package Parameters Project Parameters Variables SQL Parameters Expressions in Tasks Expressions in Connection Managers After Deployment How It All Fits Together 8 - Containers Sequence Containers For Loop Containers Foreach Loop Containers 9 - Troubleshooting and Package Reliability Understanding MaximumErrorCount Breakpoints Redirecting Error Rows Logging Event Handlers Using Checkpoints Transactions 10 - Deploying to the SSIS Catalog The SSIS Catalog Deploying Projects Working with Environments Executing Packages in SSMS Executing Packages from the Command Line Deployment Model Differences 11 - Installing and Administering SSIS Installing SSIS Upgrading SSIS Managing the SSIS Catalog Viewing Built-in SSIS Reports Managing SSIS Logging and Operation Histories Automating Package Execution 12 - Securing the SSIS Catalog Principals Securables Grantable Permissions Granting Permissions Configuring Proxy Accounts Additional course details: Nexus Humans 55321 SQL Server Integration Services 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 55321 SQL Server Integration Services 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.

At this Oracle SQL Fundamentals course, we cover SQL queries, group by's , aggregates, joins, date-functions, String Functions, Random Functions, Math Functions, Insert, update and delete, Creating and changing tables, sub-queries in detail, views, stored procedures, custom functions, and table variables. Course level is beginners to intermediate.

Practical SQL Advanced Intensive Course , exploring the advanced and less commonly used SQL Statements and techniques. We also learn Data Definition Language and Data Manipulation Language statements. as well as course automation of queries using T-SQL. Hands-on, Practical SQL Advanced Course. PCWorkshops SQL Advanced Course Certificate. Max 4 people per course; we keep it personalised.

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

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.

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students will need to be familiar with using personal computers and should have experience using a keyboard and mouse. Students should also be comfortable working in the Windows environment and be able to manage information on their computers. Overview Upon successful completion of this course, you will be able to create and develop Excel worksheets and workbooks in order to work with and analyse the data that is critical to the success of your organisation. This course is intended for those who wish to gain the foundational understanding of Excel that is necessary to create and work with electronic spreadsheets. Excel can help you organise, calculate, analyse, revise, update, and present your data. Getting Started with Excel Navigate the Excel User Interface Use Excel Commands Create and Save a Basic Workbook Enter and Edit Cell Data Fill Cells with Series of Data (AutoFill and Flash Fill) Use Excel Help Performing Calculations Create Worksheet Formulas Insert Functions and use Autocomplete Reuse Formulas and Functions Create an Absolute Reference Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows Move and Copy Data between Cells Search for and Replace Data Use Spellcheck and Proofing Formatting a Worksheet Apply Text Formats Apply Number Formats Align Cell Contents Apply and Copy Cell Styles Apply Basic Conditional Formatting Printing Workbooks Preview and Print a Workbook Controlling Page Layout Adding Headers and Footers Set Print Titles and Print Ranges Managing Workbooks Manage Worksheets Insert and Delete Worksheets Manage Workbook and Worksheet Views Manage Workbook Properties

Duration 5 Days 30 CPD hours This course is intended for This course is intended for novice database developers, database administrators, Business Intelligence developers, report creators, and application developers who have an understanding of relational database concepts and have basic Windows navigation skills. Overview Create single table SELECT queries Create multiple table SELECT queries Filter and sort data Insert, update, and delete data Query data using built-in functions Create queries that aggregate data Create subqueries Create queries that use table expressions Use UNION, INTERSECT, and EXCEPT on multiple sets of data Implement window functions in queries Use PIVOT and GROUPING SETS in queries Use stored procedures in queries Add error handling to queries Use transactions in queries This five-day instructor-led course is intended for IT professionals who wish to use the Transact-SQL language to query and configure Microsoft SQL Server. Students are typically database developers and database administrators, but might also be Business Intelligence developers, report creators, or application developers. In this course, students learn how to query single tables, join data from multiple tables, filter and sort data, modify data, use procedures and functions, and implement error handling. Prerequisites Basic understanding of relational databases. Basic Windows knowledge. Module 1: Introduction to Transact-SQL What is Transact-SQL The SELECT statement The WHERE clause Sorting results Calculations CASE expressions Module 2: Joining tables with Transact-SQL The JOIN clause Inner joins Outer joins Self joins and cross joins Module 3: Filtering and sorting results Implement the ORDER BY clause Filter data with the WHERE clause Limit the number of rows returned by a query Implement NULL logic Module 4: SQL Server data types Understand data types Implement string data types Implement temporal data types Module 5: Inserting, updating and deleting data Insert new records Update existing records Delete data Module 6: Using SQL Server functions with Transact-SQL Understand function types in SQL Server Convert data using functions Implement logical functions Work with NULL data using functions Module 7: Aggregating data with Transact-SQL Implement aggregation in SQL Server Group records in SQL Server Filter aggregated data Module 8: Implement subqueries with Transact-SQL Implement scalar and multi-valued sub-queries Implement correlated subqueries Implement existence checks with subqueries Module 9: Create queries that use table expressions Create views Create table-valued functions Implement derived tables Implement common table expressions Module 10: Use UNION, INTERSECT, EXCEPT and APPLY on multiple sets of data Write queries with the UNION operator Write queries with the INTERSECT and EXCEPT operators Write queries with the APPLY operator Module 11: Implement window functions in queries Understand window functions Impement window functions Module 12: Use PIVOT and grouping sets in queries Implement PIVOT in queries Implement grouping sets in queries Module 13: Use stored procedures in queries Query data with stored procedures Interact with stored procedures using input and output parameters Write simple stored procedures Pass dynamic SQL to SQL Server Module 14: Implement programming features in Transact-SQL Understand T-SQL programming elements Implement loops and conditions in T-SQL queries Module 15: Add error handling to queries Understand SQL Server error handling Implemet structured exception handling Module 16: Use transactions in queries Understand database transactions Implement transactions in T-SQL

Duration 5 Days 30 CPD hours This course is intended for A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. Prerequisites Experience as an IT professional or student Working knowledge of Microsoft Power Platform and its key components Knowledge of Microsoft Dataverse (or general data modeling) and security concepts 1 - Describe the business value of the Microsoft Power Platform Explore Microsoft Power Platform Describe the business value of the Power Platform Explore connectors and Microsoft Dataverse Describe how Power Platform works with Microsoft 365 apps and services Explore how Power Platform works with Microsoft Teams Describe how Power Platform works with Microsoft Dynamics 365 apps Describe how Power Platform solutions consume Microsoft Azure services Explore how Microsoft Power Platform apps work together Use Artificial Intelligence to increase productivity 2 - Core components of Power Pages Get started with Power Pages Core tools and components of Power Pages Overview of Power Pages security Overview of Power Pages extensibility 3 - Explore Power Pages templates Site design templates Scenario-based templates Dynamics 365 Power Pages site templates 4 - Explore Power Pages design studio Work with pages Page components Site styling and templates 5 - Explore Power Pages design studio data and security features Data workspace in Power Pages design studio Power Pages security features 6 - Introduction to Power Pages administration Power Pages administrative tools Set up workspace in Power Pages design studio 7 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 8 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 9 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 10 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 11 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 12 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 13 - 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 14 - 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) 15 - 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 16 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 17 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 18 - Manage tables in Dataverse Identify tables and table types in Dataverse Create a custom table Enable attachments within a table Licensing requirements for each table type 19 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Create a primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 20 - Create a relationship between tables in Dataverse Relate one or more tables - Introduction Relationship types that are available in Microsoft Dataverse Create a one-to-many relationship between tables Create a many-to-many relationship between tables Edit or delete relationships 21 - Working with choices in Dataverse Define choice column Standard choices column 22 - Get started with security roles in Dataverse Understand environment roles Adding or disabling an environment user Understand security concepts in Dataverse Understand user security roles and security role defaults Check the roles that a user belongs to Configure Dataverse teams for security Configure Dataverse group teams for security 23 - Use administration options for Dataverse Use Microsoft Power Platform Admin Center portal Tenant storage capacity Advanced Customization options in Power Apps Portal Enable and disable auditing 24 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 25 - Introduction to Microsoft Power Platform security and governance Identify Microsoft Power Platform environments Data Loss Prevention policies Microsoft Power Platform Center of Excellence Starter Kit 26 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 27 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 28 - Get started with Power Apps canvas apps Power Apps building blocks Ways to build Power Apps Power Apps related technologies Additional Power Apps related technologies Designing a Power Apps app 29 - Connect to other data in a Power Apps canvas app Overview of the different data sources Work with action-based data sources Power Automate is a companion to Power Apps 30 - How to build the UI in a canvas app in Power Apps Use themes to quickly change the appearance of your app Branding a control Icons Images Personalization Using the tablet or phone form factors 31 - Manage apps in Power Apps Power Apps review 32 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 33 - Access Dataverse in Power Pages websites Use lists to display multiple Dataverse records Use forms to interact with Dataverse data 34 - Authentication and user management in Power Pages Power Pages authentication settings User registration in Power Pages Authentication management for Power Pages users Power Pages authentication providers 35 - Power Pages maintenance and troubleshooting Power Pages website maintenance Power Pages website troubleshooting 36 - Define and create business rules in Dataverse Define business rules - Introduction Define the components of a business rule Create a business rule 37 - Get started with Power Automate Introducing Power Automate Troubleshoot flows 38 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 39 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 40 - Extend Dataverse with Power Automate Set up a flow and configure its trigger Email Dataverse record Add to-do items Test and run your flow 41 - Introduction to expressions in Power Automate Get started with expressions Notes make things easier Types of functions Write complex expressions 42 - Build your first Power Automate for desktop flow Set up the environment Explore Power Automate for desktop Create your first Power Automate for desktop flow Record Power Automate for desktop actions Edit and test recorded actions 43 - Run a Power Automate for desktop flow in unattended mode Set up an unattended desktop flow Create a new cloud flow that calls an existing flow in unattended mode Perform a test run Best practices 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Get started with Microsoft Copilot Studio bots Get started working with environments Create bots and work with the Microsoft Copilot Studio interface Create topics Test bots Publish bots and analyze performance 46 - Enhance Microsoft Copilot Studio bots Use Power Automate to add actions Transfer conversations to agents by using Omnichannel for Customer Service Create topics for existing support content Analyze bot performance 47 - Manage topics in Microsoft Copilot Studio Work with bot topics Branch a topic Create topics for existing support content Work with system fallback topics Manage topics 48 - Manage Power Virtual Agents Environments in Microsoft Copilot Studio Bot topics permissions Bot entities and flow permissions Monitor and diagnose Administer and manage Export and import bots Authentication 49 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 50 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 51 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 52 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 53 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 54 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 55 - Manage solutions in Power Apps and Power Automate Add and remove apps, flows, and entities in a solution Edit a solution-aware app, flow, and table Build and deploy a complex solution with flows, apps, and entities Automate solution management 56 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Load data into a table Export data from a table Add, update, or delete data in a table by using Excel Import data using Power Query Generate a new dataflow from an Excel Template Dataflow and Azure integration 57 - Get started with AI Builder Choose an AI capability Create your first model Ways to use your models 58 - Manage models in AI Builder Model lifecycle Manage model versions Share your models 59 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 60 - Functional Consultant skills Create entity relationship diagrams Create and document mock-ups Document functional requirements and artifacts Complete fit-gap analysis Discuss stakeholder management responsibilities Understand industry accelerators Define Application Lifecycle Management Participate in testing Evaluate options Define connectors Understand Power Apps component framework 61 - Solution Architect series: Plan application lifecycle management for Power Platform Key considerations for ALM Solutions Configuration and reference data Release process ALM with Azure DevOps