25 Data Governance courses delivered Live Online

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.

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution. Before attending this course, students must have: General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions. Prerequisites General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. 1 - Describe security and compliance concepts Describe the shared responsibility model Describe defense in depth Describe the Zero Trust model Describe governance, risk, and compliance (GRC) concepts 2 - Describe identity concepts Define authentication and authorization Define identity as the primary security perimeter Describe the role of the identity provider Describe the concept of directory services and Active Directory Describe the concept of federation 3 - Describe the function and identity types of Microsoft Entra ID Describe Microsoft Entra ID Describe types of identities Describe hybrid identity Describe external identities 4 - Describe the authentication capabilities of Microsoft Entra ID Describe authentication methods Describe multifactor authentication Describe self-service password reset Describe password protection and management capabilities 5 - Describe access management capabilities of Microsoft Entra ID Describe Conditional Access Describe Microsoft Entra roles and role-based access control (RBAC) 6 - Describe the identity protection and governance capabilities of Azure AD Describe Microsoft Entra ID Governance Describe access reviews Describe entitlement management Describe the capabilities of Privileged identity Management Describe Microsoft Entra ID Protection Describe Microsoft Entra Permissions Management Describe Microsoft Entra Verified ID 7 - Describe core infrastructure security services in Azure Describe Azure DDoS protection Describe Azure Firewall Describe Web Application Firewall Describe network segmentation in Azure Describe Azure Network Security Groups Describe Azure Bastion Describe Azure Key Vault 8 - Describe the security management capabilities in Azure Describe Microsoft Defender for Cloud Describe how security policies and initiatives improve cloud security posture Describe Cloud security posture management Describe the enhanced security of Microsoft Defender for Cloud Describe DevOps security management 9 - Describe security capabilities of Microsoft Sentinel Describe threat detection and mitigation capabilities in Microsoft Sentinel Describe Microsoft Security Copilot 10 - Describe threat protection with Microsoft Defender XDR Describe Microsoft Defender XDR services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe Microsoft Defender Vulnerability Management Describe Microsoft Defender Threat Intelligence Describe the Microsoft Defender portal 11 - Describe Microsoft?s Service Trust portal and privacy capabilities Describe the offerings of the Service Trust portal Describe Microsoft's privacy principles Describe Microsoft Priva 12 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 13 - Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview Know your data, protect your data, and govern your data Describe the data classification capabilities of the compliance portal Describe sensitivity labels and policies Describe data loss prevention Describe retention policies and retention labels Describe records management Describe the Microsoft Purview unified data governance solution 14 - Describe the insider risk capabilities in Microsoft Purview Describe insider risk management Describe communication compliance 15 - Describe the eDiscovery and Audit capabilities in Microsoft Purview Describe the eDiscovery solutions in Microsoft Purview Describe the audit solutions in Microsoft Purview

Come along to this free virtual masterclass to learn about Data Trust Scales and how they can be used to get stakeholders to care about the quality of their data.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for persons aspiring to the Microsoft 365 Administrator role and have completed at least one of the Microsoft 365 role-based administrator certification paths. This course covers the following key elements of Microsoft 365 administration: Microsoft 365 tenant management, Microsoft 365 identity synchronization, and Microsoft 365 security and compliance. In Microsoft 365 tenant management, you learn how to configure your Microsoft 365 tenant, including your organizational profile, tenant subscription options, component services, user accounts and licenses, security groups, and administrative roles. You then transition to configuring Microsoft 365, with a primary focus on configuring Office client connectivity. Finally, you explore how to manage user-driven client installations of Microsoft 365 Apps for enterprise deployments. The course then transitions to an in-depth examination of Microsoft 365 identity synchronization, with a focus on Microsoft Entra Connect and Connect Cloud Sync. You learn how to plan for and implement each of these directory synchronization options, how to manage synchronized identities, and how to implement password management in Microsoft 365 using multifactor authentication and self-service password management. In Microsoft 365 security management, you begin examining the common types of threat vectors and data breaches facing organizations today. You then learn how Microsoft 365?s security solutions address each of these threats. You are introduced to the Microsoft Secure Score, as well as to Microsoft Entra ID Protection. You then learn how to manage the Microsoft 365 security services, including Exchange Online Protection, Safe Attachments, and Safe Links. Finally, you are introduced to the various reports that monitor an organization?s security health. You then transition from security services to threat intelligence; specifically, using Microsoft 365 Defender, Microsoft Defender for Cloud Apps, and Microsoft Defender for Endpoint. Once you have this understanding of Microsoft 365?s security suite, you then examine the key components of Microsoft 365 compliance management. This begins with an overview of all key aspects of data governance, including data archiving and retention, Microsoft Purview message encryption, and data loss prevention (DLP). You then delve deeper into archiving and retention, paying particular attention to Microsoft Purview insider risk management, information barriers, and DLP policies. You then examine how to implement these compliance features by using data classification and sensitivity labels. Prerequisites Completed a role-based administrator course such as Messaging, Teamwork, Security, Compliance, or Collaboration. A proficient understanding of DNS and basic functional experience with Microsoft 365 services. A proficient understanding of general IT practices. A working knowledge of PowerShell. 1 - Configure your Microsoft 365 experience Explore your Microsoft 365 cloud environment Configure your Microsoft 365 organizational profile Manage your tenant subscriptions in Microsoft 365 Integrate Microsoft 365 with customer engagement apps Complete your tenant configuration in Microsoft 365 2 - Manage users, licenses, and mail contacts in Microsoft 365 Determine the user identity model for your organization Create user accounts in Microsoft 365 Manage user account settings in Microsoft 365 Manage user licenses in Microsoft 365 Recover deleted user accounts in Microsoft 365 Perform bulk user maintenance in Microsoft Entra ID Create and manage guest users Create and manage mail contacts 3 - Manage groups in Microsoft 365 Examine groups in Microsoft 365 Create and manage groups in Microsoft 365 Create dynamic groups using Azure rule builder Create a Microsoft 365 group naming policy Create groups in Exchange Online and SharePoint Online 4 - Add a custom domain in Microsoft 365 Plan a custom domain for your Microsoft 365 deployment Plan the DNS zones for a custom domain Plan the DNS record requirements for a custom domain Create a custom domain in Microsoft 365 5 - Configure client connectivity to Microsoft 365 Examine how automatic client configuration works Explore the DNS records required for client configuration Configure Outlook clients Troubleshoot client connectivity 6 - Configure administrative roles in Microsoft 365 Explore the Microsoft 365 permission model Explore the Microsoft 365 admin roles Assign admin roles to users in Microsoft 365 Delegate admin roles to partners Manage permissions using administrative units in Microsoft Entra ID Elevate privileges using Microsoft Entra Privileged Identity Management Examine best practices when configuring administrative roles 7 - Manage tenant health and services in Microsoft 365 Monitor the health of your Microsoft 365 services Monitor tenant health using Microsoft 365 Adoption Score Monitor tenant health using Microsoft 365 usage analytics Develop an incident response plan Request assistance from Microsoft 8 - Deploy Microsoft 365 Apps for enterprise Explore Microsoft 365 Apps for enterprise functionality Explore your app compatibility by using the Readiness Toolkit Complete a self-service installation of Microsoft 365 Apps for enterprise Deploy Microsoft 365 Apps for enterprise with Microsoft Configuration Manager Deploy Microsoft 365 Apps for enterprise from the cloud Deploy Microsoft 365 Apps for enterprise from a local source Manage updates to Microsoft 365 Apps for enterprise Explore the update channels for Microsoft 365 Apps for enterprise Manage your cloud apps using the Microsoft 365 Apps admin center 9 - Analyze your Microsoft 365 workplace data using Microsoft Viva Insights Examine the analytical features of Microsoft Viva Insights Explore Personal insights Explore Team insights Explore Organization insights Explore Advanced insights 10 - Explore identity synchronization Examine identity models for Microsoft 365 Examine authentication options for the hybrid identity model Explore directory synchronization 11 - Prepare for identity synchronization to Microsoft 365 Plan your Microsoft Entra deployment Prepare for directory synchronization Choose your directory synchronization tool Plan for directory synchronization using Microsoft Entra Connect Plan for directory synchronization using Microsoft Entra Connect cloud sync 12 - Implement directory synchronization tools Configure Microsoft Entra Connect prerequisites Configure Microsoft Entra Connect Monitor synchronization services using Microsoft Entra Connect Health Configure Microsoft Entra Connect cloud sync prerequisites Configure Microsoft Entra Connect cloud sync 13 - Manage synchronized identities Manage users with directory synchronization Manage groups with directory synchronization Use Microsoft Entra Connect Sync Security Groups to help maintain directory synchronization Configure object filters for directory synchronization Explore Microsoft Identity Manager Troubleshoot directory synchronization 14 - Manage secure user access in Microsoft 365 Manage user passwords Enable pass-through authentication Enable multifactor authentication Enable passwordless sign-in with Microsoft Authenticator Explore self-service password management Explore Windows Hello for Business Implement Microsoft Entra Smart Lockout Implement conditional access policies Explore Security Defaults in Microsoft Entra ID Investigate authentication issues using sign-in logs 15 - Examine threat vectors and data breaches Explore today's work and threat landscape Examine how phishing retrieves sensitive information Examine how spoofing deceives users and compromises data security Compare spam and malware Examine account breaches Examine elevation of privilege attacks Examine how data exfiltration moves data out of your tenant Examine how attackers delete data from your tenant Examine how data spillage exposes data outside your tenant Examine other types of attacks 16 - Explore the Zero Trust security model Examine the principles and components of the Zero Trust model Plan for a Zero Trust security model in your organization Examine Microsoft's strategy for Zero Trust networking Adopt a Zero Trust approach 17 - Explore security solutions in Microsoft 365 Defender Enhance your email security using Exchange Online Protection and Microsoft Defender for Office 365 Protect your organization's identities using Microsoft Defender for Identity Protect your enterprise network against advanced threats using Microsoft Defender for Endpoint Protect against cyber attacks using Microsoft 365 Threat Intelligence Provide insight into suspicious activity using Microsoft Cloud App Security Review the security reports in Microsoft 365 Defender 18 - Examine Microsoft Secure Score Explore Microsoft Secure Score Assess your security posture with Microsoft Secure Score Improve your secure score Track your Microsoft Secure Score history and meet your goals 19 - Examine Privileged Identity Management Explore Privileged Identity Management in Microsoft Entra ID Configure Privileged Identity Management Audit Privileged Identity Management Control privileged admin tasks using Privileged Access Management 20 - Examine Azure Identity Protection Explore Azure Identity Protection Enable the default protection policies in Azure Identity Protection Explore the vulnerabilities and risk events detected by Azure Identity Protection Plan your identity investigation 21 - Examine Exchange Online Protection Examine the anti-malware pipeline Detect messages with spam or malware using Zero-hour auto purge Explore anti-spoofing protection provided by Exchange Online Protection Explore other anti-spoofing protection Examine outbound spam filtering 22 - Examine Microsoft Defender for Office 365 Climb the security ladder from EOP to Microsoft Defender for Office 365 Expand EOP protections by using Safe Attachments and Safe Links Manage spoofed intelligence Configure outbound spam filtering policies Unblock users from sending email 23 - Manage Safe Attachments Protect users from malicious attachments by using Safe Attachments Create Safe Attachment policies using Microsoft Defender for Office 365 Create Safe Attachments policies using PowerShell Modify an existing Safe Attachments policy Create a transport rule to bypass a Safe Attachments policy Examine the end-user experience with Safe Attachments 24 - Manage Safe Links Protect users from malicious URLs by using Safe Links Create Safe Links policies using Microsoft 365 Defender Create Safe Links policies using PowerShell Modify an existing Safe Links policy Create a transport rule to bypass a Safe Links policy Examine the end-user experience with Safe Links 25 - Explore threat intelligence in Microsoft 365 Defender Explore Microsoft Intelligent Security Graph Explore alert policies in Microsoft 365 Run automated investigations and responses Explore threat hunting with Microsoft Threat Protection Explore advanced threat hunting in Microsoft 365 Defender Explore threat analytics in Microsoft 365 Identify threat issues using Microsoft Defender reports 26 - Implement app protection by using Microsoft Defender for Cloud Apps Explore Microsoft Defender Cloud Apps Deploy Microsoft Defender for Cloud Apps Configure file policies in Microsoft Defender for Cloud Apps Manage and respond to alerts in Microsoft Defender for Cloud Apps Configure Cloud Discovery in Microsoft Defender for Cloud Apps Troubleshoot Cloud Discovery in Microsoft Defender for Cloud Apps 27 - Implement endpoint protection by using Microsoft Defender for Endpoint Explore Microsoft Defender for Endpoint Configure Microsoft Defender for Endpoint in Microsoft Intune Onboard devices in Microsoft Defender for Endpoint Manage endpoint vulnerabilities with Microsoft Defender Vulnerability Management Manage device discovery and vulnerability assessment Reduce your threat and vulnerability exposure 28 - Implement threat protection by using Microsoft Defender for Office 365 Explore the Microsoft Defender for Office 365 protection stack Investigate security attacks by using Threat Explorer Identify cybersecurity issues by using Threat Trackers Prepare for attacks with Attack simulation training 29 - Examine data governance solutions in Microsoft Purview Explore data governance and compliance in Microsoft Purview Protect sensitive data with Microsoft Purview Information Protection Govern organizational data using Microsoft Purview Data Lifecycle Management Minimize internal risks with Microsoft Purview Insider Risk Management Explore Microsoft Purview eDiscovery solutions 30 - Explore archiving and records management in Microsoft 365 Explore archive mailboxes in Microsoft 365 Enable archive mailboxes in Microsoft 365 Explore Microsoft Purview Records Management Implement Microsoft Purview Records Management Restore deleted data in Exchange Online Restore deleted data in SharePoint Online 31 - Explore retention in Microsoft 365 Explore retention by using retention policies and retention labels Compare capabilities in retention policies and retention labels Define the scope of a retention policy Examine the principles of retention Implement retention using retention policies, retention labels, and eDiscovery holds Restrict retention changes by using Preservation Lock 32 - Explore Microsoft Purview Message Encryption Examine Microsoft Purview Message Encryption Configure Microsoft Purview Message Encryption Define mail flow rules to encrypt email messages Add organizational branding to encrypted email messages Explore Microsoft Purview Advanced Message Encryption 33 - Explore compliance in Microsoft 365 Plan for security and compliance in Microsoft 365 Plan your beginning compliance tasks in Microsoft Purview Manage your compliance requirements with Compliance Manager Examine the Compliance Manager dashboard Analyze the Microsoft Compliance score 34 - Implement Microsoft Purview Insider Risk Management Explore insider risk management Plan for insider risk management Explore insider risk management policies Create insider risk management policies Investigate insider risk management activities and alerts Explore insider risk management cases 35 - Implement Microsoft Purview Information Barriers Explore Microsoft Purview Information Barriers Configure information barriers in Microsoft Purview Examine information barriers in Microsoft Teams Examine information barriers in OneDrive Examine information barriers in SharePoint 36 - Explore Microsoft Purview Data Loss Prevention Examine Data Loss Prevention Explore Endpoint data loss prevention Examine DLP policies View DLP policy results Explore DLP reports 37 - Implement Microsoft Purview Data Loss Prevention Plan to implement Microsoft Purview Data Loss Protection Implement Microsoft Purview's default DLP policies Design a custom DLP policy Create a custom DLP policy from a template Configure email notifications for DLP policies Configure policy tips for DLP policies 38 - Implement data classification of sensitive information Explore data classification Implement data classification in Microsoft 365 Explore trainable classifiers Create and retrain a trainable classifier View sensitive data using Content explorer and Activity explorer Detect sensitive information documents using Document Fingerprinting 39 - Explore sensitivity labels Manage data protection using sensitivity labels Explore what sensitivity labels can do Determine a sensitivity label's scope Apply sensitivity labels automatically Explore sensitivity label policies 40 - Implement sensitivity labels Plan your deployment strategy for sensitivity labels Examine the requirements to create a sensitivity label Create sensitivity labels Publish sensitivity labels Remove and delete sensitivity labels Additional course details: Nexus Humans MS-102T00: Microsoft 365 Administrator 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 MS-102T00: Microsoft 365 Administrator 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.

Join me, Nicola Askham, and Christelle Patriarca—a seasoned expert with 25+ years of experience in Multinationals (ex-LVMH, Bacardi, Nestlé) and Consulting—for an exclusive FREE MASTERCLASS! Christelle, a recognised authority in both Data Governance and Agile Culture Transformation, will demystify the true essence of an agile culture (spoiler alert: it’s far more than just a project management methodology!) and demonstrate how to leverage its immense potential within your Data Governance journey. Drawing from her extensive experience, Christelle will share actionable insights and real-world examples that bring these concepts to life. Limited spaces are available - register now!

  The IECB Certified Data Protection Officer training course will help you acquire the knowledge and skills to serve as a Data Protection Officer (DPO), allowing you to help organizations understand and implement solutions that meet the compliance requirements of the General Data Protection Regulation (GDPR), as well as a number of other regulatory requirements. The course takes a practical look at the GDPR requirements and advises on the mapping of solutions. In this way, delegates can master the role of the DPO and become competent to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority. About This Course   After attending the training course, you can sit for the exam, and gain the 'Certified Data Protection Officer' credential, which validates that you have the Legal and regulatory knowledge required of a key adviser and practical knowledge to advise organisations how to meet their obligations regarding the GDPR compliance   Learning Outcomes; Acquire a thorough understanding of the basic concepts and components of global Data Protection Regulation(s) Understand the correlation between the General Data Protection Regulation and best practice standards such as ISO 27701 Acquire a thorough understanding of the data protection by design requirements, particularly in relation to the protection of data Interpret the data protection requirements within the context of an organization Understand how to support an organization to plan, implement, manage, monitor and maintain ongoing compliance to the GDPR   Our approach  This training course is based on the practical application of best practices used in exercising the role of the DPO. Course modules include practical examples of the role of DPO. Delegates are encouraged to engage in discussions and exercises. A Case Study which brings the materials to life.   Course agenda   Day 1: Introduction to the GDPR Principles Day 2: The role of the DPO in the determination of a GDPR compliance program Day 3: The role of the DPO in business operations Day 4: Monitoring and maintenance of the GDPR compliance programme, as well as the examination   Prerequisites   A basic understanding of the GDPR will benefit course delegates.  What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Materials CPD Certificate The Exam fees Who Should Attend?   Individuals seeking to move into the role of DPO Team members who define, implement, and maintain a GDPR compliance programme Information Security Managers responsible for the personal data protection of an enterprise and the management of its risks Members of an information security, risk management, or Data Governance team Our Guarantee   We are an approved IECB Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and train for free, with the exam retake included too. Assessment   All candidates at official training courses will be offered the opportunity to sit the associated exam. For CDPO, this constitutes a 12 question essay type exam which should be completed within 240 minutes. A passing score is achieved at 70%. Accreditation Provided by   This course is Accredited by NACS and Administered by the IECB.

Duration 3 Days 18 CPD hours This course is intended for This course is most suited for IT professionals who have a need to understand the current requirements and core competences for managing IT in mission-critical environments. Overview After completion of the course the participant will be able to: 1. Provide guidance and implementation for IT strategy as set by senior IT and business management 2. Select and manage staff, implement training programs, career plan development and job rotation programs 3. Select, evaluate and negotiate vendors using RFI, RFP and selection criteria 4. Provide guidance for developing, testing and implementing business applications 5. Manage and/or assist in IT project management 6. Design and implement service management processes for incident, problem and change management 7. Understand the need for business continuity and design the business continuity plan 8. Review and implement information security practices and controls 9. Assist and initiate risk management practices 10. Understand and select new technologies such as cloud computing, big data, Internet of Things and social media to support business change demands 11. Select strategies for information management 12. Measure and improve quality of IT services CITS is designed to teach the skills, knowledge and competencies required of the modern IT specialist working at the senior professional, team-leader, supervisor or management level in IT management. IT Strategy The need for Information Technology Enterprise architecture Service catalogue Service level management Sustainable development IT Organisation Personnel need Roles and responsibilities Sourcing Selection process Hiring staff Managing staff Career planning Training / job rotation Performance appraisal Staff departures Vendor Selection / Management The importance of vendors Vendor selection Request For Information (RFI) Request For Proposal (RFP) Proposal evaluation Vendor reference checks Contract negotiation Contract management Vendor management Re-compete vendors Project Management Methodologies Project organisation Starting up / initiating Planning / initiation a project Risk Quality Scope Work / Product Breakdown Structure PERT diagram / Gantt chart Cost Communication Application Management Software Development Life Cycle (SDLC) Software Quality Assurance (SQA) Requirements Development Testing Adoption (implementation) Maintenance Service Management Incident management Problem management Change management Business Continuity Management Standards and guidelines Objectives Context Interested parties Scope Roles and responsibilities Resources and competences Awareness and communication Documentation Business Impact Analysis Risk Management Guidelines Context establishment Identification Analysis Evaluation Treatment Communication Monitoring and control Information Security Management Standards Confidentiality Integrity Availability Controls types Guideline for controls selection Control categories Information security awareness Security incident response Information and Knowledge Management Information management Data management Information management - technologies Business intelligence Data management - technologies Best practices in data governance Pitfalls in data governance Business Change Management Business change Frameworks, models and techniques Needs identification Cloud computing Social media / digital marketing Big data Internet of Things (IoT) Quality Management Standards, guidelines and frameworks Objectives Activities Services review Customer feedback Customer survey Key Performance Indicators (KPI) Metrics Scorecards and reports Quality register Exam Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for Administrators who need to setup, configure and manage SharePoint Online as part of their Office 365 Administration. Overview After completing this course, students will gain the skills to: - Understand the architecture of SharePoint Online - Have knowledge of all the components in SharePoint Online - Have on hands on experience configuring the components of SharePoint Online - Have hands on experience configuring the options - Work with Site Collections and storage options - Manage user profiles and social profiling - Understand and configure data connectivity in SharePoint Online - Build a taxonomy structure - Understand and configure Search in SharePoint Online - Configure and deploy apps - Understand and define Enterprise content management and data loss prevention. - Configure additional options and features in SharePoint Online such as Information Rights Management This course will introduce the audience to SharePoint Online Administration in Office 365 and explain and demonstrate the configuration options for SharePoint Online. The course is appropriate for existing SharePoint on-premises administrators and new administrators to Office 365 who need to understand how to correctly setup SharePoint Online for their company. The course will also help SharePoint on-premise administrators understand the differences between SharePoint on-premises and SharePoint Online. 1 - INTRODUCTION TO OFFICE 365 AND SHAREPOINT ONLINE Introduction to the Office 365 Administration Center Configure Reporting Accessing SharePoint management tools Accessing security and compliancy Managing Office 365 and SharePoint Online with PowerShell Comparing On Premises SharePoint with SharePoint Online User identity in Office 365 and SharePoint Online Manging user domains Building Hybrid scenarios OneDrive and Sites redirection Yammer redirection Understand hybrid search Hybrid business data connectivity Hybrid taxonomy 2 - WORKING WITH SITE COLLECTIONS Introduction to classic and modern admin centers Creating Site Collections Defining ownership and security for site collections Configuring Storage Configure External Access to site collections Recovering site collections Configure external sharing Managing site collections with PowerShell 3 - MANAGING USER PROFILES Overview of the profile service Defining profile properties Map profile properties to a term store Creating custom profile properties Managing audiences Creating audiences Managing user profile policies Configure trusted my site host locations Configure preferred search center locations Defining read access permission levels Configuring newsfeed options Setup email notifications Configure my site cleanup 4 - WORKING WITH DATA CONNECTIONS Introduction to Data Connections Overview of PowerApps, Flow and PowerBi Overview of the business connectivity service Introduction to BDC definition files Creating BDC definition files Introduction to the secure store service Configuring the secure store service Creating secure store target application settings Configure connections to cloud services Configure connections to on-premises services Tools to build data connections Creating external content types Building external lists using external data 5 - MANAGING THE TERM STORE Overview of the term store Understanding terms and life cycle management Creating term groups Creating the term store Creating Term Sets in the UI Creating Term Sets via importing via a CSV Creating terms in the UI Creating terms via PowerShell and CSOM Manage terms with synonyms and pinning Configure delegated administration 6 - CONFIGURING SEARCH An Introduction to the search service Classic versus Modern search experience Understanding Managed Properties Create Managed Properties Manage Authoritative pages Understand Result sources Create and configure result sources Understand Query rules Promoting results through query rules Remove search results from the index Exporting search configurations Importing search configurations 7 - CONFIGURING APPS An Introduction to Apps Understanding the App Catalog Building the App catalog Adding Apps to the catalog Add Apps to your SharePoint sites Adding Apps via the marketplace store Manage App licensing Configure store access settings Monitoring app usage 8 - ENTERPRISE CONTENT MANAGEMENT IN SHAREPOINT ONLINE An Introduction to ECM in SharePoint Online Components of ECM Office 365 versus classic compliancy Understanding In-Place records management Configure In-Place records management Understanding the records center Build and configure a records center Understanding the compliancy policy center Build a compliancy policy center and configure policies Discover the security and compliancy center Configure an eDiscovery center Build an eDiscovery case Understand data loss prevention Build a data loss prevention policy and query Working with classification and data governance 9 - MANAGE OPTIONS FOR SHAREPOINT ONLINE Configure OneDrive features Configure use of Yammer or Newsfeeds Understand Information Rights Management Configure Information Rights Management Define site classification options Understand early release options for Office 365 Configure Early release options for your Office 365 tenant Manage Access Control Additional course details: Nexus Humans 55238 SharePoint Online for Administrators 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 55238 SharePoint Online for Administrators 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 Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm