352 Analytics courses in Cheshunt delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Developer Enterprise Architect Solution Architect Trainer Overview This course will prepare you to: Understand the basic concepts of SAP data warehousing Position the value-added of SAP Data Warehouse Cloud Integrate on-premise SAP Sources Model in SAP Data Warehouse Cloud Consume Data in SAP Analytics Cloud This course will prepare you to:Understand the basic concepts of SAP data warehousingPosition the value-added of SAP Data Warehouse CloudIntegrate on-premise SAP SourcesModel in SAP Data Warehouse CloudConsume Data in SAP Analytics Cloud Course Outline Getting started with data warehousing and the training environment Short introduction in SAP BW Bridge and other sources SAP Data Warehouse Cloud: -Introducing SAP Data Warehouse Cloud -Describing Spaces, integration options, operations and best practices -Introducing modeling in the Data Builder -Introducing modeling the Business Layer Describing consumption options in SAP Analytics Cloud Additional aspects in SAP Data Warehouse Cloud Outlook and roadmap Additional course details: Nexus Humans DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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 post training support and fees applicable Accreditions And Affliations

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. Workshop Application Use Cases Oz Metropolitan Architectural questions Team activity: Analyze Metroz Application Use Cases Application Vertical Slice Definition Minimizing risk of an unsound architecture Selecting a vertical slice Team activity: Identify an initial vertical slice for Metroz Application Processing Real time, near real time processing Batch processing Data access patterns Delivery and processing guarantees Machine Learning pipelines Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines Application Data Three V?s of Big Data Data Lifecycle Data Formats Transforming Data Team activity: Metroz Data Requirements Scalable Applications Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz Fault Tolerant Distributed Systems Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements Security and Privacy Principles Privacy Threats Technologies Team activity: identify threats and security mechanisms in Metroz Deployment Cluster sizing and evolution On-premise vs. Cloud Edge computing Team activity: select deployment for Metroz Technology Selection HDFS HBase Kudu Relational Database Management Systems Map Reduce Spark, including streaming, SparkSQL and SparkML Hive Impala Cloudera Search Data Sets and Formats Team activity: technologies relevant to Metroz Software Architecture Architecture artifacts One platform or multiple, lambda architecture Team activity: produce high level architecture, selected technologies, revisit vertical slice Vertical Slice demonstration Additional course details: Nexus Humans Big Data Architecture Workshop 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 Big Data Architecture Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Platform Big Data and Machine Learning Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Those new to Citrix or considering a move to Citrix Cloud Overview Gain foundational knowledge of Citrix Virtual Apps and Desktops 7Learn how to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectorsIdentify the considerations between Citrix Virtual Apps and Desktops on-premises and the Citrix Virtual Apps and Desktops ServiceDiscover how to deliver app and desktop resources This course will teach students how to deploy, install, configure, setup profile management, configure policies, printing and basic security features for on-premises Virtual Apps and Desktop solution building, and then migrating to Citrix Cloud.This course includes a voucher to take the related exam and earn your Citrix Certified Associate - Virtualization (CCA-V) certification. Architecture Overview Introduction to Citrix Virtual Apps and Desktops Architecture Overview Features Hosting Platform Considerations Citrix Virtual Apps and Desktops Service Connection Flow Process Introduction Deploy the Site Pre-Deployment Considerations Citrix Licensing Setup Delivery Controller Setup Site Setup And Management Redundancy Considerations The Apps and Desktops Images Consider Master Image Creation Methods Master Image Requirements Provision and Deliver App and Desktop Resources Machine Catalogs and Delivery Groups Provisioning Methods and Considerations Machine Creation Services (MCS) Deep Dive MCS Environment Considerations Resource Locations Provide Access to App and Desktop Resources Consider Workspace Experience versus StoreFront Workspace Experience User Authentication Workspace App Communication Flow Manage the User Experience Methods to Manage the User Experience Common User Experience Settings Published App and Desktop Presentation and Management Published App Properties Server OS Published App Optimizations Published App Presentation Application Groups Apps and Desktops Presentation Manage Printing for User Sessions Map Printers to the User Session Printer Drivers Print Environment Considerations Citrix Profile Management Introduction and Considerations Configure Citrix Profile Management Manage the Site Delegated Administration Use PowerShell with Citrix Virtual Apps and Desktops Power Management Considerations Citrix Virtual Apps and Desktops Basic Security Considerations Citrix Admin Security Considerations XML Service Security Considerations Secure HDX External Traffic Monitor the Site Citrix Director Introduction Monitor and Interact with User Sessions Published Apps Analysis Monitor the Machines Running the VDA Site Specific Common Monitoring Alerts and Notifications Optimize Citrix Director Monitoring with Citrix ADM Introduction to Supporting and Troubleshooting Citrix Virtual Apps and Desktops Introduction to Supporting a Citrix Virtual Apps and Desktops Site Tools Proactive Administration Common Tasks Migrate To Citrix Cloud Migration Considerations Citrix Cloud Connector Deployment Citrix Virtual Apps and Desktops with an On-Premises Resource Location The Migration Process Citrix Analytics Citrix Analytics Introduction Prepare to Use Citrix Analytics Types of Analytics Additional course details: Nexus Humans CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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 CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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 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.

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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

Duration 1 Days 6 CPD hours This course is intended for Sales Legal Marketing Business analysts Project managers AWS Academy students Other IT-related professionals Overview Summarize the working definition of AWS Differentiate between on-premises, hybrid-cloud, and all-in cloud Describe the basic global infrastructure of the AWS Cloud Explain the six benefits of the AWS Cloud Describe and provide an example of the core AWS services, including compute, network, databases, and storage Identify an appropriate solution using AWS Cloud services with various use cases Describe the AWS Well-Architected Framework Explain the shared responsibility model Describe the core security services within the AWS Cloud Describe the basics of AWS Cloud migration Articulate the financial benefits of the AWS Cloud for an organization?s cost management Define the core billing, account management, and pricing models Explain how to use pricing tools to make cost-effective choices for AWS services This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. Prerequisites General IT technical knowledge, General IT business knowledge 1 - Introduction to Amazon Web Services Summarize the benefits of AWS Describe differences between on-demand delivery and cloud deployments Summarize the pay-as-you-go pricing model 2 - Compute in the Cloud Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level Identify the different Amazon EC2 instance types Differentiate between the various billing options for Amazon EC2 Describe the benefits of Amazon EC2 Auto Scaling Summarize the benefits of Elastic Load Balancing Give an example of the uses for Elastic Load Balancing Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS) Summarize additional AWS compute options 3 - Global Infrastructure and Reliability Summarize the benefits of the AWS Global Infrastructure Describe the basic concept of Availability Zones Describe the benefits of Amazon CloudFront and Edge locations Compare different methods for provisioning AWS services 4 - Networking Describe the basic concepts of networking Describe the difference between public and private networking resources Explain a virtual private gateway using a real life scenario Explain a virtual private network (VPN) using a real life scenario Describe the benefit of AWS Direct Connect Describe the benefit of hybrid deployments Describe the layers of security used in an IT strategy Describe which services are used to interact with the AWS global network 5 - Storage and Databases Summarize the basic concept of storage and databases Describe benefits of Amazon Elastic Block Store (Amazon EBS) Describe benefits of Amazon Simple Storage Service (Amazon S3) Describe the benefits of Amazon Elastic File System (Amazon EFS) Summarize various storage solutions Describe the benefits of Amazon Relational Database Service (Amazon RDS) Describe the benefits of Amazon DynamoDB Summarize various database services 6 - Security Explain the benefits of the shared responsibility model Describe multi-factor authentication (MFA) Differentiate between the AWS Identity and Access Management (IAM) security levels Describe security policies at a basic level Explain the benefits of AWS Organizations Summarize the benefits of compliance with AWS Explain primary AWS security services at a basic level 7 - Monitoring and Analytics Summarize approaches to monitoring your AWS environment Describe the benefits of Amazon CloudWatch Describe the benefits of AWS CloudTrail Describe the benefits of AWS Trusted Advisor 8 - Pricing and Support Understand AWS pricing and support models Describe the AWS Free Tier Describe key benefits of AWS Organizations and consolidated billing Explain the benefits of AWS Budgets Explain the benefits of AWS Cost Explorer Explain the primary benefits of the AWS Pricing Calculator Distinguish between the various AWS Support Plans Describe the benefits of AWS Marketplace 9 - Migration and Innovation Understand migration and innovation in the AWS Cloud Summarize the AWS Cloud Adoption Framework (AWS CAF) Summarize six key factors of a cloud migration strategy Describe the benefits of various AWS data migration solutions, such as AWS Snowcone, AWS Snowball, and AWS Snowmobile Summarize the broad scope of innovative solutions that AWS offers Summarize the five pillars of the AWS Well-Architected Framewor 10 - AWS Certified Cloud Practitioner Basics Determine resources for preparing for the AWS Certified Cloud Practitioner examination Describe benefits of becoming AWS Certified

Duration 5 Days 30 CPD hours This course is intended for This course is designed for API developers. Overview Configure services in Cloud Manager for an on-premises installation of API Connect Create a catalog and Developer Portal Create consumer and provider organizations Create, test, and publish SOAP, REST, and GraphQL APIs Create message processing policies that transform API requests and responses Authorize client API requests with security definitions Enforce an OAuth flow with an OAuth 2.0 API security provider Perform advanced testing of APIs by using the Test tab and the Local Test Environment Define products and plans in API Manager Stage, publish, version, migrate, deprecate, and retire products and APIs Manage member roles and permissions in the Developer Portal Create an application and subscribe to a plan Review API analytics in the Developer Portal Review analytics dashboards and visualizations in API Manager Customize the Developer Portal This course teaches you how to configure a newly built API Connect 10 environment. You are taught how to configure a catalog with the gateway, portal, and analytics services and set up the environment for API development. You then define API interfaces according to the OpenAPI specification. You build SOAP and REST based APIs along with a GraphQL API. You assemble message processing policies and define client authorization schemes, such as OAuth 2.0, in the API definition. You verify the proper sequencing of policies in the assembly tester and further test your APIs in the new Test tab and Local Test Environment. After building and testing your APIs, you publish them and make them available on the Developer Portal. You manage all aspects of the provider organization in the API Manager user interface to create, publish, version, and retire API artifacts such as products, plans and APIs themselves. You also learn how to manage consumer organizations who use the APIs that are made available on the Developer Portal. You learn how to add members to the consumer organization that provides access to the APIs on the Developer Portal. You learn how the layout of the Developer Portal can be customized. Finally, you call the APIs on the secure gateway and you view the graphs and metrics of API usage. Course Outline Introduction to IBM API Connect V10 Exercise: Reviewing the API Connect development and runtime environments Managing catalogs and organizations Exercise: Managing catalogs and consumer organizations Defining APIs in API Manager Exercise: Defining an API that calls an existing SOAP service Defining a REST API in API Manager Exercise: Defining a REST API from a target service Assembling message processing policies Exercise: Assembling message processing policies Declaring client authorization requirements Creating an OAuth 2.0 provider Exercise: Implementing OAuth 2.0 security Testing and debugging APIs Exercise: Introduction to the Test tab Creating and testing a GraphQL API Exercise: Creating and testing a GraphQL API Testing an API in the Local Test Environment Exercise: Testing an API in the Local Test Environment Publishing and managing products and APIs Exercise: Define and publish an API product The product lifecycle Exercise: Subscribing and testing APIs in the Developer Portal Exercise: Managing and approving API Products Subscribing and testing APIs in the Developer Portal API Analytics Exercise: Calling an API on the gateway and monitoring API usage Customizing the Developer Portal Exercise: Customizing the Developer Portal Additional course details: Nexus Humans WD515G Create, Secure, and Publish APIs with IBM API Connect 10 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 WD515G Create, Secure, and Publish APIs with IBM API Connect 10 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.