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Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Join our Women in Insurance Leadership Workshop and gain insights from industry experts on how to succeed in the male-dominated insurance sector. This workshop is designed to empower women by providing valuable tools and resources to enhance leadership skills, build professional networks, and create a more inclusive workplace culture. Don't miss this opportunity to connect with other women in the industry and take your career to the next level. Register today!

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 5 Days 30 CPD hours This course is intended for This course will help you: Configure, troubleshoot, and manage enterprise wired and wireless networks Implement security principles within an enterprise network Overview Upon completing this course, students will be able to meet these objectives: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers. Compare and contrast the various hardware and software switching mechanisms and operation, while defining the TCAM and CAM, along with process switching, fast switching, and Cisco Express Forwarding concepts. Troubleshoot layer 2 connectivity using VLANs, trunking. Implementation of redundant switched networks using spanning tree protocol. Troubleshooting link aggregation using Etherchannel. Describe the features, metrics, and path selection concepts of EIGRP. Implementation and optimization of OSPFv2 and OSPFv3, including adjacencies, packet types, and areas, summarization and route filtering for IPv4 and IPv6. Implementing EBGP interdomain routing, path selection and single and dual-homed networking. Implementing network redundacy using protocols like HSRP and VRRP. Implementing internet connectivity within Enterprise using static and dynamic NAT. Describe the virtualization technology of servers, switches, and the various network devices and components. Implementing overlay technologies like VRF, GRE, VPN and LISP. Describe the components and concepts of wireless networking including RF, antenna characteristics, and define the specific wireless standards. Describe the various wireless deployment models available, include autonomous AP deployments and cloud-based designs within the centralized Cisco WLC architecture. Describe wireless roaming and location services. Describe how APs communicate with WLCs to obtain software, configurations, and centralized management. Configure and verify EAP, WebAuth, and PSK wireless client authentication on a WLC. Troubleshoot wireless client connectivity issues using various tools available. Troubleshooting Enterprise networks using services like NTP, SNMP , Cisco IOS IP SLAs, NetFlow and Cisco IOS Embedded Event Manager. Explain the use of available network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.2 course provides the knowledge and skills needed to configure, troubleshoot, and manage enterprise wired and wireless networks. You?ll learn to implement security principles within an enterprise network and how to overlay network design by using solutions such as SD-Access and SD-WAN Course Outline Examining Cisco Enterprise Network Architecture Understanding Cisco Switching Paths Implementing Campus Lan Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols And Techniques Understanding Virtual Private Networks And Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming And Location Services Examining Wireless AP Operation Understanding Wireless Client Authentication Troubleshooting Wireless Client Connectivity Introducing Multicast Protocols Introducing QoS Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Understanding Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution Understanding the Basics of Python Programming Introducing Network Programmability Protocols Introducing APIs in Cisco DNA Center and vManage

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Data Center engineers Cloud engineers System engineers Field engineers Implementation/operation/support/installation and upgrade specialists IT administrators Network engineers Cloud computing experts Security specialists Cisco integrators and partners Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe items to be aware of before installing a Cisco CSR 1000V, including virtual machine requirements for installing Cisco CSR 1000V, licensing options that are available with Cisco CSR 1000V, supported Cisco IOS XE technologies, and management options for Cisco CSR 1000V. Prepare for installation of Cisco CSR 1000V Series routers. Explain common Cisco IOS XE Command-Line Interface (CLI) commands and conventions that can make it easier to work in the CLI, and describe how you can get help with command syntax and command options. Describe the options you can use to activate the license for Cisco CSR 1000V and activate the license for each option. Troubleshoot issues with Cisco CSR 1000V licenses. Upgrade the Cisco IOS XE software for an existing Cisco CSR 1000V installation. Describe the Call Home feature and its benefits, configure the feature on the Cisco CSR 1000V, including the anonymous reporting option, and display the Call Home configuration. List the different Call Home events that trigger alerts and commands that are executed as a result of the alert. Troubleshoot Cisco CSR 1000V Virtual Machine (VM) issues. Rehost a Cisco CSR 1000V license to a new VM, whether the current Cisco CSR 1000V router is accessible or not. Describe the Virtual Extensible LAN (VXLAN) Layer 2 gateway feature and configure this feature on the Cisco CSR 1000V router. Deploy the Cisco CSR 1000V in a virtual private cloud using Microsoft Azure or Amazon Web Services (AWS). Describe common network operations that the Cisco CSR 1000V supports. Explore programmability support on Cisco CSR 1000V, including APIs, shells, and data models. The Deploying Cloud Connect Solutions with Cisco Cloud Services Router 1000V (CLDCSR) course shows you how to deploy and operate Cisco© Cloud Services Router 1000V (CSR1000V) to provide comprehensive WAN gateway and network services functions including connectivity, routing, and security into virtual and cloud environments. Through expert instruction and hands-on labs, you will learn: Cisco CSR 1000V deployment options and requirements; hypervisor support, licensing models, features and programmability support; and how to implement, integrate, install, manage, and troubleshoot the deployment process and common operation issues.This class will help you:Learn how to use the CSR 1000V Series to extend your enterprise network to public and private cloudsGain hands-on practice acquiring skills in virtual and cloud-based technologies Course Outline Introducing Cisco CSR Product Overview Preparing for Installation Installing Cisco CSR 1000V in VMware Elastic Sky X (ESXi) Environments Booting Cisco CSR 1000V and Accessing the Console Using Cisco IOS XE Software Managing Cisco CSR 1000V Licenses Upgrading the Cisco IOS XE Software Mapping Cisco CSR 1000V Network Interfaces to Virtual Machine Network Interfaces Using GRUB Mode (Bootstrap Program) Configuring Call Home for Cisco CSR 1000V Configuring Virtual CPU (vCPU) Distribution Across Data, Control, and Service Planes Troubleshooting Cisco CSR 1000V Virtual Machine Issues Rehosting a Smart License Supporting the Cisco CSR 1000V Virtual Extensible LAN (VXLAN) Feature Deploying Cisco CSR 1000V in a Virtual Private Cloud Exploring Cisco CSR 1000V Operations Exploring Programmability on Cisco CSR 1000V

Duration 5 Days 30 CPD hours This course is intended for Developed for IT Professionals with extensive networking and Citrix ADC experience. This course is built for IT Professionals who are responsible for defining the overall structure or architecture of a Citrix networking environment. This course encompasses advanced Citrix networking configurations and leading Citrix design principles. Overview How to identify and prioritize business drivers, constraints, and requirements using the Citrix Consulting methodologyAssess environment requirements and learn to apply leading design principles to address them in a multi-site Citrix ADC deploymentApply advanced authentication and load balancing principles In this expert training course students will be exposed to advanced networking and Citrix ADC concepts and configurations. Through lecture, lab exercises, and real-world case studies, students will learn to look critically at environment requirements, constraints, and business drivers to create a complex Citrix networking solution. Topics to be covered in this course include multi-site and multitenant deployments, advanced authentication and load balancing, and automation and orchestration and advanced troubleshooting. This training will also prepare students for the Citrix Certified Expert in Networking (CCE-N) exam.This course includes a voucher to take the related exam (1Y0-440: Citrix Networking Assessment, Design, and Advanced Configuration) and earn your Citrix Certified Expert ? Networking (CCE-N) certification. Networking Methodology and Assessment Understanding the Citrix methodology Business Drivers and Requirements User Segmentation Application Assessment Capabilities Assessment Citrix Networking Deployment Architecture and Topology Multi-Site Deployments Multi Tennant Infrastructure Cloud Deployments High Availability Citrix ADC Double-Hop Scenarios Secure Web Gateway Advanced Authentication and Authorization Authorization Policies Access Policies Advanced Authentication Options Multi-Factor Authentication nFactor Authentication AAA Session Management Citrix ADC Security Authorization Pre-authentication and Endpoint Analysis Scans Protection against Layer 4-7 Attacks Web App Firewall Citrix Gateway Configuration Considerations ICA Proxy Configuration VPN Access Clientless Access Split Tunneling RDP Proxy Deployment and Configuration Advanced Load Distribution and Link Load balancing Advanced Load Balancing Link Load Balancing Firewall Load Balancing Microsoft Exchange Load Balancing Advanced Global Server Load Balancing Global Server Load Balancing Persistence DNS, Policies, Expressions, Actions, and Views GSLB Monitoring and Considerations Application Delivery Management Automation and Orchestration Application Delivery Management Outbound Traffic Dashboard Automation Orchestration Configuration Jobs Configuration Audit NITRO API StyleBooks (Net-new) Additional course details: Nexus Humans CNS-420 Citrix Networking Assessment, Design, and Advanced Configuration 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 CNS-420 Citrix Networking Assessment, Design, and Advanced Configuration 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 Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Conductor and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match and Client Insight features Learn how to perform network monitoring functions and troubleshooting This course teaches the knowledge, skills and practical experience required to set up and configure a basic Aruba WLAN utilizing the AOS 8.X architecture and features. Using lecture and labs, this course provides the technical understanding and hands-on experience of configuring a single Mobility Conductor with one controller and AP Aruba WLAN. Participants will learn how to use Aruba hardware and AOS8 to install and build a complete, secure controller network with multiple SSIDs. WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Conductor Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join Mobility Controller with Mobility Conductor Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Conductor GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores OS 8.X Airmatch to calibrate the network How Client Match and Client Insight match steers clients to better APs Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the Mobility Conductor dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of AirWave's capabilities for monitoring and diagnosing client, WLAN and AP issues

Duration 1 Days 6 CPD hours This course is intended for This course is intended for students who have a foundational working knowledge of PowerPoint, who wish to take advantage of the application's higher-level usability, security, collaboration, and distribution functionality. Overview In this course, you will use the advanced tools and features in PowerPoint to create and deliver engaging presentations.You will: Customize design templates. Add tables. Add charts. Work with media. Build advanced transitions and animations. Collaborate on a presentation. Customize the delivery of a presentation. Modify presentation navigation. Secure and distribute a presentation. Meetings, instruction, training, pitches; these are all a part of our daily lives. We are often called upon to deliver presentations with little notice, at multiple venues, and with varying requirements. And, some of these presentations include sensitive information that needs to be guarded. Given all the variables, it may seem an overwhelming task to deliver your content, on time, to all audiences, and to only those who need to see it. Oh, and by the way, you need to make it interesting, informative, and memorable. So, how do you do it? Without the help of a robust set of tools, it would be nearly impossible. But Microsoft© PowerPoint© provides you with a variety of such tools that can help you deliver content in nearly any situation, while saving time and effort. By taking advantage of these tools, you will be creating presentations that not only stand out from the crowd, but also don't consume all of your available time. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365? subscription. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the PowerPoint Associate (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Customizing Design Templates Topic A: Modify Slide Masters and Slide Layouts Topic B: Modify the Notes Master and the Handout Master Topic C: Add Headers and Footers Lesson 2: Adding Tables Topic A: Create a Table Topic B: Format a Table Topic C: Insert a Table from Other Office Applications Lesson 3: Adding Charts Topic A: Create a Chart Topic B: Format a Chart Topic C: Insert a Chart from Microsoft Excel Lesson 4: Working with Media Topic A: Add Audio to a Presentation Topic B: Add Video to a Presentation Topic C: Add a Screen Recording Lesson 5: Building Advanced Transitions and Animations Topic A: Use the Morph Transition Topic B: Customize Animations Lesson 6: Collaborating on a Presentation Topic A: Review a Presentation Topic B: Co-author a Presentation Lesson 7: Customizing Presentation Delivery Topic A: Enhance a Live Presentation Topic B: Record a Presentation Topic C: Set Up a Slide Show Lesson 8: Modifying Presentation Navigation Topic A: Divide a Presentation into Sections Topic B: Add Links Topic C: Create a Custom Slide Show Lesson 9: Securing and Distributing a Presentation Topic A: Secure a Presentation Topic B: Create a Video or a CD

Level 4 Endorsed Diploma - International Trade Qualification Complete all 15 modules and 3 assessments, from a choice of 7 to earn a Level 4 Diploma in International Trade.