1672 Computing & IT courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for There is no specific prerequisite for the CDRP© course. However, participants who have at least three years' experience in a data centre and/or IT infrastructures will be best suited. Overview After completion of the course, the participant will be able to: 1. Understand the different standards and methodologies for risk management and assessment 2. Establish the required project team for risk management 3. Perform the risk assessment, identifying current threats, vulnerabilities and the potential impact based on customised threat catalogues 4. Report on the current risk level of the data centre both quantitative and qualitative 5. Anticipate and minimise potential financial impacts 6. Understand the options for handling risk 7. Continuously monitor and review the status of risk present in the data centre 8. Reduce the frequency and magnitude of incidents 9. Detect and respond to events when they occur 10. Meet regulatory and compliance requirements 11. Support certification processes such as ISO/IEC 27001 12. Support overall corporate and IT governance Introduction to Risk Management Risk management concepts Senior management and risk Enterprise Risk Management (ERM) Benefits of risk management Data Centre Risk and Impact Risk in facility, power, cooling, fire suppression, infrastructure and IT services Impact of data centre downtime Main causes of downtime Cost factors in downtime Standards, Guidelines and Methodologies ISO/IEC 27001:2013, ISO/IEC 27005:2011, ISO/IEC 27002:2013 NIST SP 800-30 ISO/IEC 31000:2009 SS507:2008 ANSI/TIA-942 Other methodologies (CRAMM, EBIOS, OCTAVE, etc.) Risk Management Definitions Asset Availability/Confidentiality/Integrity Control Information processing facility Information security Policy Risk Risk analysis/Risk assessment/Risk evaluation/ Risk treatment Threat/Vulnerability Types of risk Risk Assessment Software The need for software Automation Considerations Risk Management Process The risk management process Establishing the context Identification Analysis Evaluation Treatment Communication and consultation Monitoring and review Project Approach Project management principles Project management methods Scope Time Cost Cost estimate methods Context Establishment General considerations Risk evaluation, impact and acceptance criteria Severity rating of impact Occurrence rating of probability Scope and boundaries Scope constraints Roles & responsibilities Training, awareness and competence Risk Assessment - Identification The risk assessment process Identification of assets Identification of threats Identification of existing controls Identification of vulnerabilities Identification of consequences Hands-on exercise: Identification of assets, threats, existing controls, vulnerabilities and consequences Risk Assessment - Analysis and Evaluation Risk estimation Risk estimation methodologies Assessment of consequences Assessment of incident likelihood Level of risk estimation Risk evaluation Hands-on exercise: Assessment of consequences, probability and estimating level of risk Risk Treatment The risk treatment process steps Risk Treatment Plan (RTP) Risk modification Risk retention Risk avoidance Risk sharing Constraints in risk modification Control categories Control examples Cost-benefit analysis Control implementation Residual risk Communication Effective communication of risk management activities Benefits and concerns of communication Risk Monitoring and Review Ongoing monitoring and review Criteria for review Risk scenarios Risk assessment approach Data centre site selection Data centre facility Cloud computing UPS scenarios Force majeure Organisational shortcomings Human failure Technical failure Deliberate acts Exam: Certified Data Centre Risk Professional Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 4 Days 24 CPD hours This course is intended for This course is for network and system administrators, IT managers, IT support personnel, and other network operations staff who are responsible for deploying new computers across their organizations, managing ongoing software and hardware configuration tasks for computers, and retiring outdated computers. Overview By the completion of this course, you will be able to: Install and configure Ghost Solution Suite 3.0. Use the Ghost Console to create and use jobs and tasks to manage computes. Configure image deployments. Manage ?unknown? and predefined computers. Perform disk wipes and create disk partitions. Create Windows scripted OS installations. Create PC transplant templates. Capture a computer personality, and deploy personality packages. Perform a computer migration from Win 7 to Win 8.1. This course is designed for the professional tasked with installing, configuring, and managing a Deployment Solution system. Overview of Endpoint Lifecycle Management Introduction to Endpoint Lifecycle Management Phases of Endpoint Lifecycle Management ELM Business Objectives and Goals ELM Solution Mapping to Business Objectives Ghost Solution Suite 3.0 Product Overview Implementation Assessment ELM Requirements Gathering Solution Analysis of ELM Requirements Implementation Design GSS 3.0 Technical Overview Installation Options and Prerequisites Defining the Solution Infrastructure Defining the ELM Solution Configuration Installation and Configuration of the ELM Solution Base Software Installation Navigating the Console Core & Solution Configuration Driver Management Pre-boot Environment Endpoint Identification & Gathering IT Requirements Overview Analyzing and Defining IT Requirements Using ELM to Forecast IT Requirements Endpoint Configuration Standards Endpoint Standards Overview Defining Endpoint Standards Implementation of Endpoint Standards Endpoint Provisioning Endpoint Provisioning Overview Standard Build and Image Methodology Software Compatibility Analysis Software Packaging requirements for use in the ELM Solution Software Quality Assurance Methodology Endpoint Deployment & Staging Endpoint Lifecycle Automation Endpoint Lifecycle Automation Scenario Exercise Backup and restore Automating the backup of a computer image Scripted OS Installation Capturing an image for deployment Automating the creation of a master image Automating the deployment of computer images Software Distribution Software Delivery Methods Software Installation Methods Understanding Software Delivery Reporting and Analysis of Software Distribution Tasks Image and Build Maintenance Image maintenance overview Restoring a computer image Capturing the updated image Updating Jobs Managing Software Upgrades Software Upgrade Process Overview Distribution of Software Updates Supporting the Business Ensuring Business Continuity in an ELM System Endpoint Restoration/Recovery Managing Service Support Activities Endpoint Monitoring & Alerting Endpoint Configuration & Maintenance Automating Problem Resolution Application Self-Healing Desired State Management Hardware Refresh & Migration Hardware Refresh & Migration Process Overview Personality Capture and Restore Gathering Current State Inventory for Requirements and Planning Activities Performing Data capture and storage activities Gathering User state or PC personality information Automating the Migration Process Endpoint Retirement/Disposal Ensuring Compliant Disposal Methods and Procedures End to End Endpoint Lifecycle Use Case Endpoint Management Lifecycle Use Case for GSS Additional course details: Nexus Humans Symantec Ghost Solution Suite 3.0 - Administration 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 Symantec Ghost Solution Suite 3.0 - Administration 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 Network professionals and who design, build, operate, manage, and troubleshoot software-defined networking and security, and application owners who need visibility across multi-cloud environments Overview By the end of the course, you should be able to meet the following objectives: Explain the features and architecture of VMware Aria Operations for Networks Describe the VMware Aria Operations for Networks installation processes and requirements Navigate the VMware Aria Operations for Networks GUI Recognize major use cases for VMware Aria Operations for Networks and their benefits Deploy VMware Aria Operations for Networks Use VMware Aria Operations for Networks to monitor, operate, analyze, and troubleshoot the infrastructure supporting your applications This two-day, hands-on course gives you the skills to deploy and use VMware Aria Operations? for Networks to ensure an optimized, highly available, and secure infrastructure for your applications. You will learn the features, components, architecture, and benefits of VMware Aria Operations for Networks and how to use it to simplify daily operation and troubleshooting tasks. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Aria Operations for Networks Identify the use cases for VMware Aria Operations for Networks Access the VMware Aria Operations for Networks Home page View VMware Aria Operations for Networks entity data Perform searches for specific entity data Create entity search queries Find and use event data VMware Aria Operations for Networks Architecture and Components Identify the components of VMware Aria Operations for Networks Describe the function of each component and how the components interact Check the health of VMware Aria Operations for Networks components VMware Aria Operations for Networks Installation Deploy VMware Aria Operations for Networks components Configure the pairing relationship between the platform VM and the collector VM Troubleshoot platform VM and collector VM configuration problems Explain how data sources export flow information Add VMware vCenter Server© to VMware Aria Operations for Networks Add a VMware NSX to VMware Aria Operations for Networks Configure IPFIX Distinguish between the mechanisms used to scale VMware Aria Operations for Networks Select the appropriate scaling mechanism for your environment Describe how clusters are expanded Integrate VMware Aria Operations with VMware Aria Operations for Networks Import a VMware Aria Operations for Networks instance into VMware Aria Suite Lifecycle VMware Aria Operations for Networks Use Cases Explain use cases for VMware Aria Operations for Networks Create VMware Aria Operations for Networks applications Perform application discovery Plan and optimize micro-segmentation and security for applications Explain the use of flow analytics Use flow information from physical devices in security planning Generate virtual machine path topologies between entities using flows Extract useful information from path topologies Validate NSX deployments Monitor and troubleshoot NSX events Operations and Troubleshooting Common Issues Perform VMware Aria Operations for Networks operations by using VMware vSphere© tags Use the flow analytics dashboards to perform flow analysis Set and configure Intents to identify aberrations in the behaviour of entities Use VMware Aria Operations for Networks tools to troubleshoot common problems Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Aria Operations for Networks: Install, Configure, Manage [V6.8] 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 VMware Aria Operations for Networks: Install, Configure, Manage [V6.8] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

Duration 1 Days 6 CPD hours This course is intended for Cybersecurity Essentials provides foundational knowledge in cybersecurity and is recommended for all non-technical professionals who wish to develop an understanding of cyber safety. Overview After completing this course, students will be able to: Identify and reduce human errors that put organizations at risk for a cyber-attacks. Define Ransomware, Phishing, and Data Breaches to understand the differences. Identify the motives of hackers. Assess how data breaches occur. Develop a plan on how to protect accounts and privacy. Create a strong and secure password. Work in a secure manner while using remote Wi-Fi access. Safely use Virtual Private Networks (VPN). Identify vulnerabilities in home networks to keep them secure. Identity different social engineering techniques e.g. phishing, vishing. Detect social engineering attempts and prevent potential breaches. Prevent hackers from accessing a Mobile phone. Cybersecurity Essentials was developed using unparalleled learning methodology that prepares cadets for the Israeli Cyber and Intelligence Unit. It is designed to tackle human error by helping develop an advanced understanding and skills to protect individuals and organizations against the most common cyber threats. INTRODUCTION TO CYBERSECURITY Introduction to the world of cybersecurity; basic terminology, and why cybersecurity is so important. Review of famous cyber-attacks. ACCOUNTS & CREDENTIALS SECURITY One of the most common elements linking cyber-attacks is compromised or weak credentials. Learn different ways hackers can acquire passwords, and what to do when accounts have been compromised. How to prevent such attacks including best protection methods and password management and introduction to tools for testing and creating strong passwords. REMOTE SECURITY: WI-FI & VPN Evaluate main risks that arise when using public and non-protected Wi-Fi networks. Differentiate between private and public Wi-Fi networks, define what a VPN is and how to use it, and how to browse safely in remote environments. SOCIAL ENGINEERING How hackers take advantage of ?human-based vulnerabilities?. Define social engineering and the different types of attacks that can leverage social engineering, such as phishing or vishing. Learn how to detect social engineering attempts and prevent future breaches. MOBILE SECURITY Minimize the risk of an attack on mobile device and understand basic security principles for mobile applications. Learn how to protect photos, browsing history, text messages, and confidential business information such as emails, documents, access permission and more. Additional course details: Nexus Humans Cybersecurity Essentials 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 Cybersecurity Essentials 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 Network professionals and who design, build, operate, manage, and troubleshoot software-defined networking and security, and application owners who need visibility across multi-cloud environments Overview By the end of the course, you should be able to meet the following objectives: Explain the features and architecture of vRealize Network Insight Describe the vRealize Network Insight installation processes and requirements Navigate the vRealize Network Insight GUI Describe major use cases for vRealize Network Insight and their benefits Deploy vRealize Network Insight Use vRealize Network Insight to monitor, operate, analyze, and troubleshoot the infrastructure supporting your applications This two-day, hands-on course gives you the skills to deploy and use VMware vRealize© Network Insight? to ensure an optimized, highly available, and secure infrastructure for your applications. You will learn the features, components, architecture, and benefits of vRealize Network Insight and how to use it to simplify daily operation and troubleshooting tasks. Course Introduction Introductions and course logistics Course objectives Introduction to vRealize Network Insight Identify the use cases for vRealize Network Insight Access the vRealize Network Insight Home page View vRealize Network Insight entity data Perform searches for specific entity data Create entity search queries Find and use event data vRealize Network Insight Architecture and Components Identify the components of vRealize Network Insight Describe the function of each component and how the components interact Check the health of vRealize Network Insight components vRealize Network Insight Installation Deploy vRealize Network Insight components Configure the pairing relationship between the platform VM and the collector VM Troubleshoot platform VM and collector VM configuration problems Explain how data sources export flow information Add VMware vCenter Server© to vRealize Network Insight Add a VMware NSX-T© data source to vRealize Network Insight Configure IPFIX Distinguish between the mechanisms used to scale vRealize Network Insight Select the appropriate scaling mechanism for your environment Describe how clusters are expanded Integrate VMware vRealize© Operations? with vRealize Network Insight Import a vRealize Network Insight instance into VMware vRealize© Suite Lifecycle Manager? vRealize Network Insight Use Cases Explain use cases for vRealize Network Insight Create vRealize Network Insight applications Perform application discovery Plan and optimize micro-segmentation and security for applications Explain the use of flow analytics Use flow information from physical devices in security planning Generate virtual machine path topologies between entities using flows Extract useful information from path topologies Validate NSX-T and NSX for vSphere deployments Monitor and troubleshoot NSX-T events Operations and Troubleshooting Common Issues Perform vRealize Network Insight operations by using VMware vSphere© tags Use the flow analytics dashboards to perform flow analysis Set and configure thresholds to identify aberrations in the behavior of entities Use vRealize Network Insight tools to troubleshoot common problems Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Network Insight: Install, Configure, Manage [v6.1] 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 VMware vRealize Network Insight: Install, Configure, Manage [v6.1] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is for computer professionals involved with security compliance using CCS 11.0. Overview At the completion of the course, you will be able to: Describe current security risk and compliance challenges. Define methods of proactive security. Describe CCS 11 and how it helps meet security and compliance needs. Describe general CCS 11.0 pre-deployment considerations. Install CCS 11. Perform initial CCS configuration tasks. Import assets and common fields. Describe how to install CCS Agents. Perform data collection and evaluation. Describe the components of standards. Copy and edit standards. Evaluate collected data in terms of a standard. Describe compliance and risk scores. Manage exceptions. Create, edit, and map control statements. Use Controls Studio to eliminate duplication of controls. Describe mandates, policies, and control statements. Build queries to gather data quickly from assets. Add external data integration and configure data connectors. Use CCS reporting features. Create, edit, and manage dashboards. Investigate contingencies using a ?what if?? analysis in dynamic dashboards. This course focuses on defining security controls that govern the enterprise, assess compliance with standards and other mandates, and create reports and dashboards to demonstrate compliance and show deficiencies to multiple audiences. Introduction to CCS 11.0 Overview of Security and Compliance Proactive Security Into to CCS11 Implementing Security and Compliance with CCS 11.0 Installing the CCS Suite General pre-deployment considerations Pre-installation requirements Installation tasks Initial configuration Getting started tasks Preparing for data collection Getting started with CCS 11.0 Importing assets Installing a UNIX Agent Collecting and evaluating data Standards Manager/CVSS and Risk Score Working with standards Assessing compliance with standards Managing exceptions Controls Studio About Controls Studio Working with Controls Studio Ad hoc queries Query building Querying your enterprise External data integration Connecting to external data sources Overview of third-party connectors Reporting and dashboards Reporting overview Working with dynamic dashboards Additional course details: Nexus Humans Symantec Control Compliance Suite (CCS) 11.0 Administration 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 Symantec Control Compliance Suite (CCS) 11.0 Administration 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

Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers and security operations specialists, as well as administrators and product deployers. Overview Successful completion of this instructor-led course with hands-on lab activities should enable you to: Describe the architecture and components of the Cortex XDR family Use the Cortex XDR management console Create Cortex XDR agent installation packages, endpoint groups, and policies Deploy Cortex XDR agents on endpoints Create and manage exploit and malware prevention profiles Investigate alerts and prioritize them using starring and exclusion policies Tune Security profiles using Cortex XDR exceptions Perform and track response actions in the Action Center Perform basic troubleshooting related to Cortex XDR agents Deploy a Broker VM and activate the Local Agents Settings applet Understand Cortex XDR deployment concepts and activation requirements Work with the Customer Support Portal and Cortex XDR Gateway for authentication and authorization This instructor-led training enables you to prevent attacks on your endpoints. After an overview of the Cortex XDR components, the training introduces the Cortex XDR management console and demonstrates how to install agents on your endpoints and how to create Security profiles and policies. The training enables you to perform and track response actions, tune profiles, and work with Cortex XDR alerts. The training concludes with discussions about basic troubleshooting of the agent, the on-premises Broker VM component, and Cortex XDR deployment. Course Outline This class is comprised of the following modules: Module 1 - Cortex XDR Family Overview Module 2 - Cortex XDR Main Components Module 3 - Cortex XDR Mangement Components Module 4 - Profiles and Policy Rules Module 5 - Malware Protection Module 6 - Exploit Protection Module 7 - Cortex XDR Alerts Module 8 - Tuning Policies using Exceptions Module 9 - - Response Actions Module 10 - Basic Agent Troubleshooting Module 11 - Broker VM Overview Module 12 - Deployment Consideration