7585 Power courses

Duration 5 Days 30 CPD hours This course is intended for This course is primarily intended for existing IT professionals who have some AD DS knowledge and experience and who aim to develop knowledge about identity and access technologies in Windows Server 2016. The secondary audience for this course includes IT professionals who are looking to consolidate their knowledge about AD DS and related technologies, in addition to IT professionals who want to prepare for the 70-742 exam. Overview After completing this course, students will be able to:Install and configure domain controllers.Manage objects in AD DS by using graphical tools and Windows PowerShell.Implement AD DS in complex environments.Implement AD DS sites, and configure and manage replication.Implement and manage Group Policy Objects (GPOs).Manage user settings by using GPOs.Secure AD DS and user accounts.Implement and manage a certificate authority (CA) hierarchy with AD CS.Deploy and manage certificates.Implement and administer AD FS.Implement and administer Active Directory Rights Management Services (AD RMS).Implement synchronization between AD DS and Azure AD.Monitor, troubleshoot, and establish business continuity for AD DS services. This course teaches IT Pros how to deploy and configure Active Directory Domain Services in a distributed environment, how to implement Group Policy, how to perform backup & restore, & how to troubleshoot Active Directory?related issues. Installing & Configuring DCs Overview of AD DS Overview of AD DS DCs Deploying DCs Lab: Deploying and administering AD DS Managing Objects in AD DS Managing user accounts Managing groups in AD DS Managing computer accounts Using Windows PowerShell for AD DS administration Implementing and managing organizational units Lab: Deploying and administering AD DS Lab: Administering AD DS Advanced AD DS Infrastructure Management Overview of advanced AD DS deployments Deploying a distributed AD DS environment Configuring AD DS trusts Lab: Domain and trust management in AD DS Implementing & Administering AD DS Sites & Replication Overview of AD DS replication Configuring AD DS sites Configuring and monitoring AD DS replication Lab: Managing and implementing AD DS sites and replication Implementing Group Policy Introducing Group Policy Implementing and administering GPOs Group Policy scope and Group Policy processing Troubleshooting the application of GPOs Lab: Implementing a Group Policy infrastructure Lab: Troubleshooting a Group Policy Infrastructure Managing User Settings with GPOs Implementing administrative templates Configuring Folder Redirection and scripts Configuring Group Policy preferences Lab: Managing user settings with GPOs Securing AD DS Securing domain controllers Implementing account security Audit authentication Configuring managed service accounts (MSAs) Lab: Securing AD DS Deploying & Managing AD CS Deploying CAs Administering CAs Troubleshooting and maintaining CAs Lab: Deploying and configuring a two-tier CA hierarchy Deploying & Managing Certificates Deploying and managing certificate templates Managing certificate deployment, revocation, and recovery Using certificates in a business environment Implementing and managing smart cards Lab: Deploying certificates Implementing & Administering AD FS Overview of AD FS AD FS requirements and planning Deploying and configuring AD FS Overview of Web Application Proxy Lab: Implementing AD FS Implementing & Administering AD RMS Overview of AD RMS Deploying and managing an AD RMS infrastructure Configuring AD RMS content protection Lab: Implementing an AD RMS infrastructure Implementing AD DS Synchronization with Azure AD Planning and preparing for directory synchronization Implementing directory synchronization by using Azure AD Connect Managing identities with directory synchronization Lab: Configuring directory synchronization Monitoring, Managing, & Recovering AD DS Monitoring AD DS Managing the AD DS database Recovering AD DS objects Lab: Recovering objects in AD DS

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT. Overview Working within in a hands-on learning environment students will learn to: Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. Python Refresher Python Overview Python Basics Python Lab Introducing PyTest Why Spend time writing test UnitTest Module Why PyTest? Introductory Lab Writing and Running Test Installing PyTest Writing and Running Tests Organizing files and packages Command Line options Configure pytest.ini Install and Config Lab Markers and Parameters Mark Basics Built-in marks Parameterization Markers and Parameters Lab Fixtures Introduction to Fixtures Sharing fixtures with conftest.py files Scopes Autouse Parameterizing fixtures Using marks from fixtures Built-in fixtures Best Practices Fixtures Lab Fixtures Lab 2 Plugins Finding and installing plugins Overview of plugins Plugin Lab From UnitTest to PyTest Use PyTest as a Test Runner Convert asserts with unitest2pytest Handling setup/teardown Managing test hierarchies Refactoring test utilities Migration strategies Additional course details: Nexus Humans Test Automation with Python (TTPS4832) 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 Test Automation with Python (TTPS4832) 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 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 2 Days 12 CPD hours This course is intended for A prior understanding of EU Data Protection legislation is recommended. Candidates are typically management professionals and decision-makers who already have responsibility for data protection compliance within their organisation.Co-Requisite Subjects Candidates should have a good understanding of their own organisation?s data management activities through the life cycle from initial acquisition, through the various areas of processing and usage, to eventual removal or destruction. Overview To equip the learner with a foundational understanding of the principles of the General Data Protection Regulation (GDPR) and to provide constructive suggestions on implementing compliant processes. The social, historical and legal background leading to the General Data Protection Regulation (GDPR) The scope and global context of the GDPR The key concepts within the GDPR The definition of all key words and phrases relating to this Data Protection regulation Principle One: The criteria governing fair, open and transparent processing of personal data Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Two: Purpose Limitation, the challenge of limiting the processing within the context of specified and lawful purposes Principle Three: Minimisation of processing, and ensuring that only that data is processed which is necessary to achieve the purpose. Principle Four: Ensuring that any personal data held by the organisation is kept accurate and current, and that any processing of such data is appropriate Principle Five: Management and storage of personal data in a manner that meets regulatory obligations, while minimising the time that the individual remains identifiable Principle Six: The criteria governing safe, secure and confidential processing of personal data in order to protect its integrity Principle Seven: The key roles, responsibilities and accountabilities of those involved in Data Management within an organisation Establishment within a single Member State Joint Controllers Privacy by Design and by Default Nominated Representatives Third-party Contracts and shared liability Logging of data management processes Data Breach Notification obligations Privacy Impact Assessments Overseas transfer of personal data L2.8 The Data Subject Rights, and their implications for the Data Controller and the Data Processor L2.8.1 The ?right to be forgotten? L2.8.2 The right to restriction of processing L2.8.3 The right to object to certain processing L2.8.4 The right to have inaccurate data amended or erased L2.8.5 The right to data portability L2.8.6 The right of access to one?s personal data L2.8.7 Rights in relation to automated decision-making and profiling The role of the Data Protection Officer (DPO) The role of the Data Protection Officer (DPO) Criteria for designating a DPO Tasks of the DPO Position of the DPO within the organisation The role of the Supervisory Authority within the Member State The Lead Supervisory Authority and independence Investigative, corrective and advisory powers Independence of the Supervisory Authority Collaboration with other Supervisory Authorities Codes of Conduct and Certification The role, powers and tasks of the European Data Protection Board (EDPB) The remedies, liabilities and penalties available under the GDPR Right to raise a complaint Right to representation Right to effective judicial remedy Right to compensation and liability Administrative fines of up to ?10m or 2% of GAT Administrative fines of up to ?20m or 4% of GAT Provisions for specific processing situations Freedom of Expression Processing of official documents Processing of National Identification Numbers Processing regarding employment Processing for archiving purposes Processing under obligations of official secrecy Processing of data by religious organisations Preparing for implementation of the GDPR Review of data management policies and procedures Review of data assets and security structures Training and Awareness-raising Data management governance structures Embedding Privacy By Design and Default Codes of Conduct and Certification against standards Breach detection and notification procedures Review of third-party agreements, contracts

Duration 3 Days 18 CPD hours This course is intended for This course is for Azure Administrators who migrate and manage SAP solutions on Azure. Azure Administrators manage the cloud services that span storage, networking, and compute cloud capabilities, with a deep understanding of each service across the full IT lifecycle. They take end-user requests for new cloud applications and make recommendations on services to use for optimal performance and scale, as well as provision, size, monitor and adjust as appropriate. This role requires communicating and coordinating with vendors. Azure Administrators use the Azure Portal and as they become more proficient they use PowerShell and the Command Line Interface. Overview After completing this course, students will be able to: Migrate and SAP HANA, S/4HANA, SAP NetWeaver to Azure Leverage Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Resource Manager Use intersite connectivity features including VNet Peering and VNet-to-VNet connections Work with Azure Active Directory (AAD) and Azure AD Connect As an IT Professionals experienced in SAP solutions, you will discover how to leverage Azure resources that include deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities. You will also be introduced to concepts, scenarios, procedures, and hands-on labs that will empower you to best plan and implement migration and operation of an SAP solution on Azure. You will also receive guidance on subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution. Introduction Contains an overview of the SAP and Microsoft partnership. Foundations of SAP on Azure Contains brief lessons on Azure compute, Azure storage, Azure networking, SAP HANA for Azure (Large Instances), identity services, governance and manageability, backup and data protection services, and migration services. SAP Certified Offerings on Azure Contains lessons on general prerequisites (SAP support in public cloud environments), deployment options of Azure for SAP workloads, SAP product-specific support for Azure, operating System support of Azure for SAP workloads, storage support of Azure for SAP workloads, networking support for SAP, database support for SAP, high availability and disaster recovery support for SAP, and monitoring requirements for SAP. Lab : Online Lab: Implementing Linux clustering on Azure VMs Lab : Online Lab: Implementing Windows clustering on Azure VMs SAP on Azure Reference Architecture Contains lessons on SAP NetWeaver with AnyDB, SAP S4 HANA, and SAP HANA on Azure (Large Instances) on Azure VMs. Planning for Implementing SAP Solutions on Azure Contains lessons on Azure VM compute, network, and storage considerations. As well as Azure VM high availability and disaster recovery, Azure VM backup considerations, Azure VM monitoring considerations, Azure VM security considerations, and Azure VM authentication and access control considerations. Planning for Migrating SAP Workloads to Azure Contains lessons on strategies for migrating SAP systems to Microsoft Azure and SAP a workload planning and deployment checklist. Implementing Azure VM-based SAP Solutions Contains lessons on Azure VM deployment methodologies, single-instance implementations (2-tier or 3-tier), implementing HA SAP NetWeaver with AnyDB on Azure VMs, implementing HA SAP HANA on Azure VMs, configure the Azure Enhanced Monitoring Extension for SAP, and implementing AD and Azure AD-based authentication. Module 8-Deploying HANA Large Instances (HLI) Contains a lesson on implementing HANA Large Instances (HLI). Migrating SAP Workloads to Azure Contains lessons on migration options, DMO methodologies, cloud migration options, and Very Large Database Migration to Azure. Lab : Online Lab-Implement SAP architecture on Azure VMs running Linux Lab : Online Lab-Implement SAP architecture on Azure VMs running Windows Maintaining SAP on Azure Contains lessons on, remote management, performing backups and restores, OS and workload updates, vertical and horizontal scaling, and Disaster Recovery (DR). Monitoring and Troubleshooting SAP on Azure Contains lessons on monitoring Azure VMs, monitoring SAP HANA on Azure (Large Instances), and integrating SAP solutions with Microsoft cloud services.

Duration 2 Days 12 CPD hours This course is intended for Data Protection OfficersData Protection ManagersAuditorsLegal Compliance OfficersSecurity ManagerInformation ManagersAnyone involved with data protection processes and programs Overview It will show the world that students know privacy laws and regulations and how to apply them, and that students know how to secure your place in the information economy. When students earn a CIPP credential, it means they?ve gained a foundational understanding of broad global concepts of privacy and data protection law and practice, including: jurisdictional laws, regulations and enforcement models; essential privacy concepts and principals; legal requirements for handling and transferring data and more. It will show the world that students know privacy laws and regulations and how to apply them, and that students know how to secure their place in the information economy. When students earn a CIPP credential, it means they've gained a foundational understanding of broad global concepts of privacy and data protection law and practice, including: jurisdictional laws, regulations and enforcement models; essential privacy concepts and principals; legal requirements for handling and transferring data and more. Common Principles and Approaches to Privacy This unit includes a brief discussion about the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles. Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors. Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards, and threats/ vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM). Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit focuses on the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children?s online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices. Canadian Legal Framework This unit provides an introduction to the Canadian legal system. It includes enforcement agencies and their powers, privacy basics from a Canadian perspective and the underlying framework for Canadian privacy law and practice. Canadian Private-sector Privacy Laws This unit focuses on the Canadian legal system. It includes enforcement agencies and their powers, privacy basics from a Canadian perspective and the underlying framework for Canadian privacy law and practice. Canadian Public-sector Privacy Laws This unit highlights key concepts and practices related to the collection, retention, use, disclosure and disposal of personal information by federal, provincial and territorial governments. Health Information Privacy Laws This unit touches on the applicability and purpose of health information privacy laws. Private-sector Compliance Practices This unit delves into the components that make up compliance regulations, including Generally Accepted Privacy Principals and security breach notification, and also examines compliance track records and Federal Commissioner Findings. Public-sector Compliance Practices This unit presents the various methods that can be implemented for compliance in the public sector, such as privacy impact assessments and data sharing agreements. In addition, it discusses the challenges presented by digital information exchanges, as well as non-legislative considerations. Health-sector Compliance Practices This unit covers the issues presented with digital compliance in the health sector. Additional course details: Nexus Humans Certified Information Privacy Professional (CIPP/CAN) 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 Certified Information Privacy Professional (CIPP/CAN) 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 2.5 Days 15 CPD hours This course is intended for This course is intended for those with a basic understanding of Tableau who want to pursue mastery of the advanced features. Overview The goal of this course is to present essential Tableau concepts and its advanced functionalities to help better prepare and analyze data. This course will use Tableau Hyper, Tableau Prep and more. Getting Up to Speed ? a Review of the Basics Connecting Tableau to your data Connecting to Tableau Server Connecting to saved data sources Measure Names and Measure Values Three essential Tableau concepts Exporting data to other devices Summary All About Data ? Getting Your Data Ready Data mining and knowledge discovery process models CRISP?DM All About Data ? Joins, Blends, and Data Structures All About Data - Joins, Blends, and Data Structures Introduction to joins Introduction to complex joins Exercise: observing join culling Introduction to join calculations Introduction to spatial joins Introduction to unions Understanding data blending Order of operations No dimensions from a secondary source Introduction to scaffolding Introduction to data structures Exercise: adjusting the data structure for different questions Summary Table Calculations Table Calculations A definition and two questions Introduction to functions Directional and non-directional table calculations Application of functions Summary Level of Detail Calculations Level of Detail Calculations Building playgrounds Playground I: FIXED and EXCLUDE Playground II: INCLUDE Practical application Exercise: practical FIXED Exercise: practical INCLUDE Exercise: practical EXCLUDE Summary Beyond the Basic Chart Types Beyond the Basic Chart Types Improving popular visualizations Custom background images Tableau extensions Summary Mapping Mapping Extending Tableau's mapping capabilities without leaving Tableau Extending Tableau mapping with other technology Exercise: connecting to a WMS server Exploring the TMS file Exploring Mapbox Accessing different maps with a dashboard Creating custom polygons Converting shape files for Tableau Exercise: polygons for Texas Heatmaps Summary Tableau for Presentations Tableau for Presentations Getting the best images out of Tableau From Tableau to PowerPoint Embedding Tableau in PowerPoint Animating Tableau Story points and dashboards for Presentations Summary Visualization Best Practices and Dashboard Design Visualization Best Practices and Dashboard Design Visualization design theory Formatting rules Color rules Visualization type rules Compromises Keeping visualizations simple Dashboard design Dashboard layout Sheet selection Summary Advanced Analytics Advanced Analytics Self-service Analytics Use case ? Self-service Analytics Use case ? Geo-spatial Analytics Summary Improving Performance Improving Performance Understanding the performance-recording dashboard Exercise: exploring performance recording in Tableau desktop Performance-recording dashboard events Behind the scenes of the performance- recording dashboard Hardware and on-the-fly techniques Hardware considerations On-the-fly-techniques Single Data Source > Joining > Blending Three ways Tableau connects to data Using referential integrity when joining Advantages of blending Efficiently working with data sources Tuning data sources Working efficiently with large data sources Intelligent extracts Understanding the Tableau data extract Constructing an extract for optimal performance Exercise: summary aggregates for improved performance Optimizing extracts Exercise: materialized calculations Using filters wisely Extract filter performance Data source filter performance Context filters Dimension and measure filters Table-calculation filters Efficient calculations Boolean/Numbers > Date > String Additional performance considerations Avoid overcrowding a dashboard Fixing dashboard sizing Setting expectations Summary Additional course details: Nexus Humans Advanced Tableau 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 Advanced Tableau 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 3 Days 18 CPD hours This course is intended for Anyone who'd like to learn Adobe Premiere Pro CC Those that plan to take the Adobe Certfied Expert (ACE) exam Overview Introduction to Premiere Pro CC will allow you to learn powerful real-time video and audio editing tools that give you precise control over virtually every aspect of your production. In this three-day course, you?ll get a thorough overview of the interface, tools, features, and production flow for Premiere Pro CC. The course is an ideal combination of instructor-led demonstration and hands-on practice to introduce you to Adobe Premiere Pro software, a revolutionary 64-bit nonlinear video-editing application. You will learn powerful real-time video and audio editing tools that give you precise control over virtually every aspect of your production. Touring Adobe Premiere Pro CC Nonlinear editing in Adobe Premiere Pro Expanding the workflow Touring the Adobe Premiere Pro interface Setting up a Project Setting up a project Setting up a sequence Importing Media Importing assets Working with the Media Browser Importing images The media cache Capturing the videotape Organizing Media The Project panel Working with bins Organizing media with content analysis Monitoring footage Modifying clips Essentials of Video Editing Using the Source Monitor Navigating the Timeline Essential editing commands Working with Clips and Markers Program Monitor controls Controlling resolution Using markers Using Sync Lock and Track Lock Finding gaps in the Timeline Moving clips Extracting and deleting segments Adding Transitions What are transitions? Edit points and handles Adding video transitions Using A/B mode to fine-tune a transition Adding audio transitions Advanced Editing Techniques Four-point editing Retiming clips Replacing clips and footage Nesting sequences Regular trimming Advanced trimming Trimming in the Program Monitor panel Putting Clips in Motion Adjusting the Motion effect Changing clip position, size, and rotation Working with keyframe interpolation Using other motion-related effects Multi-camera Editing The multi-camera process Creating a multi-camera sequence Switching multiple cameras Finalizing multi-camera editing Additional multi-camera editing tips Editing and Mixing Audio Setting up the interface to work with audio Examining audio characteristics Adjusting audio volume Adjusting audio gain Normalizing audio Creating a split edit Adjusting audio levels in a sequence Working with the Audio Mixer Sweetening Sound Sweetening sound with audio effects Adjusting EQ Applying effects in the Audio Mixer Cleaning up noisy audio Adding Video Effects Working with effects Keyframing effects Effects presets Frequently used effects Color Correction and Grading Color-oriented workflow An overview of color-oriented effects Fixing exposure problems Fixing color balance Specials color effects Creating a look Exploring Compositing Techniques What is an alpha channel? Using compositing in your projects Working with the Opacity effect Working with alpha-channel transparencies Color keying a greenscreen shot Using mattes Creating Titles An overview of the Titler window Video typography essentials Creating titles Stylizing text Working with shapes and logos Making text roll and crawl Managing Your Projects The File menu Using the Project Manager Final project managment steps Importing projects or sequences Managing collaboration Managing your hard drives Exporting Frames, Clips, and Sequences Overview of export options Exporting single frames Exporting a master copy Working with Adobe Media Encoder Exchanging with other editing applications Recording to tape Additional course details: Nexus Humans Introduction to Premiere Pro CC 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 Introduction to Premiere Pro CC 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 3 Days 18 CPD hours This course is intended for This course is intended for experienced administrators with a background in either software development or system administration. Team leaders, lead developers, and other accidental Team Foundation Server administrators are also encouraged to take this course. This course will also help a student prepare for the relevant Microsoft certification exam. Overview At course completion, attendees will have had exposure to: - TFS editions and components - Supported topologies and environments - Must-have TFS administration tools - Hardware and software requirements - Required service accounts and permissions - Installing Team Foundation Server - Configuring Team Foundation Server - Managing relevant SQL Server components - Managing relevant SharePoint components - Installing and using Team Explorer - Team project collections and team projects - Using and customizing process templates - TFS licensing and Client Access Licenses - Connecting and using Microsoft Excel & Project - Installing and using Team Explorer Everywhere - Integrating TFS and SharePoint - Using the TFS web portal - Git and TFVC version control systems - Basic and advanced version control workflows - Configuring and using code search - Controlling access to version controlled items - Command-line and third party tools - Configuring automated builds - Deploying and using Visual Studio agents - Configuring agent pools and queues - Creating and queuing automated builds - Configuring Package Management - Configuring Release Management - Creating a release definition - Creating and deploying a release - Strategies for upgrading and migrating to TFS - Integrating TFS with other systems and data - High availability and scalability options - Capacity planning and disaster recovery - Backing up, restoring, and moving TFS data - Managing the data warehouse - Using PowerShell to manage TFS - Customizing Team Foundation Server - Extending Team Foundation Server Provides students with the knowledge and skills to deploy, configure, and manage Microsoft Team Foundation Server 2019 and related software components. Introduction to Team Foundation Server Introduction to Team Foundation Server Editions, components, and configurations Visual Studio Team Services comparison TFS' support of Application Lifecycle Management TFS administrator responsibilities and tasks ?Must-have? tools of a TFS administrator Planning and Deploying TFS Planning the deployment System requirements, software, and accounts Installing and configuring TFS Installing Team Explorer Troubleshooting Configuring TFS Administrator roles and tools Managing team project collections Managing team projects Managing process templates Securing TFS, SharePoint, and SQL Server Renaming and deleting a team project Client Applications TFS Client Access Licenses (CAL) Team Explorer and the web portal Microsoft Excel and Microsoft Project SharePoint project portal Team Explorer Everywhere Command-line and 3rd party tools Version Control Overview of Git and TFVC version control systems Integration with Visual Studio Using TFVC and Git version control Basic and advanced workflows Controlling access to version control Command-line tools and utilities TFS Proxy, MSSCCI Provider, and TFS Sidekicks Building and Releasing Overview of the Visual Studio build system Build agents, agent pools, agent queues Creating and queuing a build Monitoring, and managing a build Securing the build process Running tests as part of the build Overview of Package Management Overview of Release Management Defining, creating, and deploying a release Upgrading, Migrating, and Integrating Upgrading Team Foundation Server In-place vs. migration upgrade Performing post-upgrade tasks Migrating work items Migrating items under version controlled Integrating with Team Foundation Server Custom and 3rd party solutions Advanced Administration Monitoring the health of Team Foundation Server Web-based diagnostic tools Options for scalability and high availability Disaster recovery, backup, and restore Moving Team Foundation Server Managing the data warehouse Using PowerShell to manage TFS Customizing and Extending Customizing vs. extending Customizing a process template Customizing a work item type Creating default work items Creating and using a global list Using Witadmin.exe Using work item templates Creating a custom report Using the REST API to extend Team Foundation Server Additional course details: Nexus Humans Administering Team Foundation Server 2017 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 Administering Team Foundation Server 2017 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.