30445 Courses in Cardiff delivered Online

Duration 2 Days 12 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Comprehensive understanding of Looker's platform: Gain a solid foundation in Looker's key features, functionality, and interface, enabling you to navigate and utilize the platform effectively for your data analysis and visualization needs. Mastery of LookML and data modeling: Develop proficiency in Looker's unique data modeling language, LookML, to create customized and efficient data models that cater to your organization's specific requirements. Expertise in creating insightful Explores: Learn to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights. Proficiency in dashboard design and sharing: Acquire the skills to design visually appealing and informative dashboards, share them with different user roles, and schedule exports to keep stakeholders informed and up-to-date. Enhanced content organization with folders and boards: Understand how to effectively use folders and boards to organize, manage, and discover content within Looker, making it easily accessible for you and your team. Optional: Advanced visualization techniques for impactful storytelling: Master advanced visualization techniques, including customizations with HTML, CSS, and JavaScript, and interactive visualizations using Looker's API, to create compelling data stories that resonate with your audience. Discover the power of data analytics and visualization with our hands-on, two-day introductory course Looker Bootcamp: Analyzing and Visualizing Data with Looker. Designed for professionals who want to unlock valuable insights from their data, this immersive training experience will guide you through Looker's cutting-edge features and provide you with the essential skills to create engaging, interactive, and insightful reports and dashboards. Our experienced trainers will take you on a journey from the fundamentals of Looker and its unique data modeling language, LookML, to advanced visualization techniques and content organization strategies, ensuring you leave the course equipped to make data-driven decisions with confidence. Throughout the course, you will have the opportunity to participate in practical exercises and workshops that will help you apply the concepts and techniques learned in real-world scenarios. You will explore the potential of Looker's Explores, dive into LookML's capabilities, and master the art of dashboard design and sharing. Learn how to organize and manage your content with folders and boards and harness the power of advanced visualization techniques to make your data come alive. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Looker terminology and basic concepts Connecting to Data Sources Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Saving and organizing Explores Data Visualization Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Introduction to Looker's API for custom visualizations Advanced Explores and LookML LookML refresher and best practices Creating derived tables and data transformations Managing access controls and data permissions Organizing and Sharing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Sharing folders and boards with different user roles and permissions Dashboard Design and Sharing Best practices for dashboard design Adding, arranging, and resizing visualizations Scheduling and exporting dashboard data Advanced Visualization Techniques Customizing visualizations with HTML, CSS, and JavaScript Creating interactive visualizations using Looker's API Integrating Looker visualizations with other tools Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Trainer provides individual support and guidance Project Presentations, Q&A, and Training Wrap-up Additional course details: Nexus Humans Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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 Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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.

It can be challenging and even confronting to manage employees who are older than you. Yet age gaps are no excuse for a lack of inclusion of older team members. This video outlines five tips to help managers approach this often-tricky dynamic. These guidelines will teach managers about supporting all team members in reaching their full potential, prevent discrimination, and help managers become more effective in their roles overall. This video is great training for all new managers and HR professionals. Length: 3:35 Learning Objectives Analyze and apply strategies for effectively managing older team members to create a more inclusive and respectful work environment.;Reflecting on personal interactions with older team members, assess the impact of age-related biases, and identify areas for improvement in communication and inclusivity.;Develop a management approach that respects the experience and expertise of older team members, actively involving them in decision-making, and supporting their professional growth.

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Inclusive organizations are ones where members of the LGBTQAI+ community thrive. Providing a welcoming environment means ensuring that all employees have an understanding about respecting sexual identity. The acronym used to refer to this large segment of the population continues to grow to represent the identities of others. This video outlines the meaning behind 'LGBTQIA' and is intended to provide employees with further cultural competency. Length: 5:14 Learning Objectives Define and explain the components of the LGBTQIA+ acronym, including lesbian, gay, bisexual, transgender, queer, intersex, asexual, aromantic, agender, non-binary, and genderqueer identities.;Recognize the distinction between sexual orientation and gender identity, emphasizing the importance of respecting both aspects of an individual's identity.;Understand the significance of recognizing and supporting diverse gender and sexual identities, fostering inclusivity, and becoming an ally within the LGBTQIA+ community.

Respecting gender identity is an important part of creating an inclusive workplace environment. Because it is a new concept to some, it is helpful and even crucial to provide periodic training on the appropriate way to discuss the topic at work and how to prevent misunderstandings and even harassment. This video outlines what gender identity is, the importance of appropriate and respectful language, the harm caused by misgendering, and several best practices for creating a workplace that is respectful to people of all gender identities. Length: 4:39 Learning Objectives Distinguish between gender identity and sexual orientation, recognizing that gender identity pertains to a person's intrinsic sense of self within a gendered context, while sexual orientation relates to one's attraction to others.;Gain an understanding of the fluidity of gender identity, including concepts like transgender, gender-fluid, genderqueer, and non-binary, to appreciate the diverse ways individuals identify and express their gender.;Learn practical strategies to promote respect for gender identity in the workplace, such as using gender-neutral language, avoiding misgendering, and understanding the importance of names and pronouns in supporting individuals' gender identities.

Is your team ready for a technology upgrade? When we talk about digital transformation or technology upgrades, we usually think about changes in corporate processes, the development of a new business model, or streamlining. However, we don't usually think about how the workforce will respond. It is important that a team is supportive of an organization's digital transformation as it often means learning new ways of doing things. This microlearning video will outline ways to communicate with your teams about the benefits of new ways of doing things. This video is great for managers, IT leaders, and human resource departments. Length: 3:06 This video is great for managers, IT leaders, and human resource departments. Length: 3:06 Learning Objectives Comprehend how the introduction of digital technologies can trigger cultural shifts within an organization, including the division between digital enthusiasts and those resistant to change.;Recognize the positive outcomes that result from fostering a digital corporate culture, including enhanced collaboration, increased autonomy, innovation, and a workforce aligned with technology trends.;Highlight the significance of leadership in setting a corporate vision that promotes digitalization and cultural change, emphasizing the need for a united digital platform to achieve long-term success.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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 Network security engineers ISE administrators Wireless network security engineers Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco ISE deployments, including core deployment components and how they interact to create a cohesive security architecture. Describe the advantages of such a deployment and how each Cisco ISE capability contributes to these advantages. Describe concepts and configure components related to 802.1X and MAC Authentication Bypass (MAB) authentication, identity management, and certificate services. Describe how Cisco ISE policy sets are used to implement authentication and authorization, and how to leverage this capability to meet the needs of your organization. Describe third-party Network Access Devices (NADs), Cisco TrustSec, and Easy Connect. Describe and configure web authentication, processes, operation, and guest services, including guest access components and various guest access scenarios. Describe and configure Cisco ISE profiling services, and understand how to monitor these services to enhance your situational awareness about network-connected endpoints. Describe best practices for deploying this profiler service in your specific environment. Describe BYOD challenges, solutions, processes, and portals. Configure a BYOD solution, and describe the relationship between BYOD processes and their related configuration components. Describe and configure various certificates related to a BYOD solution. Describe the value of the My Devices portal and how to configure this portal. Describe endpoint compliance, compliance components, posture agents, posture deployment and licensing, and the posture service in Cisco ISE. Describe and configure TACACS+ device administration using Cisco ISE, including command sets, profiles, and policy sets. Understand the role of TACACS+ within the Authentication, Authentication, and Accounting (AAA) framework and the differences between the RADIUS and TACACS+ protocols. Migrate TACACS+ functionality from Cisco Secure Access Control System (ACS) to Cisco ISE, using a migration tool. The Implementing and Configuring Cisco Identity Services Engine (SISE) v3.0 course shows you how to deploy and use Cisco© Identity Services Engine (ISE) v2.4, an identity and access control policy platform that simplifies the delivery of consistent, highly secure access control across wired, wireless, and VPN connections. This hands-on course provides you with the knowledge and skills to implement and use Cisco ISE, including policy enforcement, profiling services, web authentication and guest access services, BYOD, endpoint compliance services, and TACACS+ device administration. Through expert instruction and hands-on practice, you will learn how to use Cisco ISE to gain visibility into what is happening in your network, streamline security policy management, and contribute to operational efficiency. This course helps you prepare to take the exam, Implementing and Configuring Cisco Identity Services Engine (300-715 SISE), which leads to CCNP© Security and the Cisco Certified Specialist - Security Identity Management Implementation certifications. Introducing Cisco ISE Architecture and Deployment Using Cisco ISE as a Network Access Policy Engine Cisco ISE Use Cases Describing Cisco ISE Functions Cisco ISE Deployment Models Context Visibility Cisco ISE Policy Enforcement Using 802.1X for Wired and Wireless Access Using MAC Authentication Bypass for Wired and Wireless Access Introducing Identity Management Configuring Certificate Services Introducing Cisco ISE Policy Implementing Third-Party Network Access Device Support Introducing Cisco TrustSec Cisco TrustSec Configuration Easy Connect Web Authentication and Guest Services Introducing Web Access with Cisco ISE Introducing Guest Access Components Configuring Guest Access Settings Configuring Sponsor and Guest Portals Cisco ISE Profiler Introducing Cisco ISE Profiler Profiling Deployment and Best Practices Cisco ISE BYOD Introducing the Cisco ISE BYOD Process Describing BYOD Flow Configuring the My Devices Portal Configuring Certificates in BYOD Scenarios Cisco ISE Endpoint Compliance Services Introducing Endpoint Compliance Services Configuring Client Posture Services and Provisioning in Cisco ISE Working with Network Access Devices Review TACACS+ Cisco ISE TACACS+ Device Administration Configure TACACS+ Device Administration TACACS+ Device Administration Guidelines and Best Practices Migrating from Cisco ACS to Cisco ISE Lab outline Access the SISE Lab and Install ISE 2.4 Configure Initial Cisco ISE Setup, GUI Familiarization, and System Certificate Usage Integrate Cisco ISE with Active Directory Configure Basic Policy on Cisco ISE Configure Policy Sets Configure Access Policy for Easy Connect Configure Guest Access Configure Guest Access Operations Create Guest Reports Configure Profiling Customize the Cisco ISE Profiling Configuration Create Cisco ISE Profiling Reports Configure BYOD Blacklisting a Device Configure Cisco ISE Compliance Services Configure Client Provisioning Configure Posture Policies Test and Monitor Compliance-Based Access Test Compliance Policy Configure Cisco ISE for Basic Device Administration Configure TACACS+ Command Authorization Additional course details: Nexus Humans Cisco Implementing and Configuring Cisco Identity Services Engine v3.0 (SISE) 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 Cisco Implementing and Configuring Cisco Identity Services Engine v3.0 (SISE) 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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