3128 Development courses in Birmingham delivered Live Online

Course Duration: 1 or 2 days (or modular format across 3–4 sessions) Target Audience: Team leaders, managers, project leads, HR professionals, and change champions responsible for initiating or supporting change within their teams or organisations. Course Objectives By the end of this course, participants will be able to: Understand the dynamics and psychology of organisational change. Apply change models to plan and implement change effectively. Communicate change with clarity and empathy. Anticipate and manage resistance to change. Sustain momentum and embed change in culture and practice. Course Outline Module 1: The Nature of Change Why change initiatives succeed or fail Types of organisational change (strategic, cultural, technological, etc.) The human side of change: uncertainty, fear, and motivation Change vs transformation Module 2: Change Management Models Lewin’s Change Model (Unfreeze–Change–Refreeze) Kotter’s 8-Step Change Model ADKAR (Awareness, Desire, Knowledge, Ability, Reinforcement) Choosing and applying the right model for your context Module 3: Planning and Leading Change Assessing readiness and mapping stakeholders Creating a compelling vision for change Developing a change plan and roadmap Roles and responsibilities of leaders and change agents Module 4: Communicating Through Change Crafting key messages and change narratives Communicating with transparency and empathy Engaging employees and addressing concerns Channels, timing, and frequency of communication Module 5: Managing Resistance and Building Buy-In Identifying sources of resistance Strategies to understand and reduce resistance Building coalitions and early adopters Creating participation and ownership Module 6: Embedding and Sustaining Change Reinforcement strategies and recognition Aligning systems, structures, and behaviours Monitoring progress and adjusting plans Measuring change success (KPIs, feedback loops) Module 7: Leading Yourself Through Change Emotional resilience and adaptability Supporting your team while navigating uncertainty Mindsets for change leadership Self-reflection and personal action plan Delivery Style Interactive workshops with case studies and real-life examples Group discussions, change simulations, and planning activities Practical tools and templates for immediate workplace use Course Materials Provided Participant workbook Change management templates (e.g. stakeholder map, change comms plan) Change models quick reference guide Personal action plan template Optional Add-ons Custom case study based on your organisation’s current change program Post-course coaching or implementation support Manager toolkit for cascading change conversations

Course Duration: 1 day (or 2 half-day sessions) Target Audience: Anyone who delivers presentations in a professional setting – including team members, managers, project leads, or executives – who want to improve confidence, clarity, and impact when speaking. Course Objectives By the end of this course, participants will be able to: Prepare and structure engaging presentations for different audiences. Deliver content with confidence, clarity, and professionalism. Use body language, voice, and visual aids effectively. Manage nerves and build a strong connection with the audience. Handle questions and unexpected situations with poise. Course Outline Module 1: Understanding Effective Presentations What makes a presentation effective? Common mistakes and how to avoid them Aligning your message with the audience’s needs Module 2: Planning and Structuring Your Message Setting clear objectives The “power of three” and other storytelling structures Openings and closings that stick Making content memorable and persuasive Module 3: Delivering with Confidence Managing nerves and performance anxiety Using your voice: tone, pace, and projection Body language and posture Eye contact and engagement strategies Module 4: Visual Aids and Presentation Tools Designing slides that support (not distract) Tips for using PowerPoint or Canva effectively Alternatives to slides (e.g. props, whiteboards, storytelling) Module 5: Engaging Your Audience Reading the room and adjusting your delivery Encouraging interaction and participation Handling difficult questions or interruptions Time management and staying on message Module 6: Practice and Feedback Participants deliver a short presentation (2–5 minutes) Peer and facilitator feedback Self-reflection and improvement planning Delivery Style Interactive, supportive environment Role-playing, practical exercises, and real-time coaching Optional video recordings for feedback Course Materials Provided Participant workbook and slide templates Presentation preparation checklist Self-assessment and feedback forms Tips for virtual presentations (Zoom, Teams) Optional Add-ons (for 2-day version) Extended practice time with filming and playback Advanced storytelling and persuasive techniques Coaching for high-stakes presentations (e.g. board meetings, conferences)

Course Duration: Half-day or full-day program (with options for virtual delivery) Target Audience: Professionals, managers, leaders, and HR teams looking to build resilience, manage stress effectively, and prevent burnout in today’s always-on, high-pressure work environment. Course Objectives By the end of this course, participants will be able to: Recognise the signs and symptoms of stress and burnout. Understand the impact of chronic stress on health, performance, and well-being. Learn effective strategies for stress management and emotional regulation. Identify personal and workplace practices that reduce the risk of burnout. Develop a personal action plan for building resilience and maintaining well-being. Course Outline Module 1: Understanding Stress and Burnout What is stress? Types of stress (acute, chronic, eustress, distress) Defining burnout: symptoms, causes, and long-term effects The impact of a 24/7 world on mental health and performance How stress and burnout affect physical health, cognition, and relationships The role of work culture, technology, and societal expectations in stress Module 2: The Physiology of Stress and Burnout Understanding the body's stress response: fight or flight, cortisol, and adrenaline The effects of prolonged stress on the nervous system and health How burnout manifests in the brain and body The difference between stress and burnout: a deeper dive into emotional exhaustion, depersonalisation, and reduced personal accomplishment Module 3: Identifying Personal Stress Triggers and Early Warning Signs Conducting a stress audit: when and where does stress show up? Personal stress triggers: how work, environment, and relationships contribute Warning signs of burnout: physical, emotional, and behavioural red flags Self-assessment: Are you at risk of burnout? Understanding your personal stress responses and coping mechanisms Module 4: Effective Stress Management Techniques Mindfulness and relaxation practices: breathing exercises, meditation, and guided imagery Cognitive reframing: challenging negative thoughts and building resilience Time management and prioritisation: setting boundaries, saying no, and avoiding overwhelm Progressive muscle relaxation: tension release for mind and body Movement and exercise: how physical activity reduces stress Sleep hygiene: strategies for better rest and recovery Module 5: Building Resilience and Preventing Burnout The concept of resilience: bouncing back and growing stronger from adversity Strategies for emotional regulation: staying calm under pressure The role of social support: leaning on peers, mentors, and family Building psychological flexibility: accepting what we can’t change and focusing on what we can Creating work-life boundaries in a 24/7 world: disconnecting from work and technology Cultivating gratitude, positive psychology, and self-compassion in daily life Module 6: Creating a Sustainable Work Culture How leaders can foster a culture of well-being and prevent burnout Encouraging breaks, time off, and restorative work habits Organisational practices that support mental health: workload management, flexibility, and support resources Role of HR and leadership in promoting a healthy work-life balance The importance of feedback, recognition, and regular check-ins to prevent stress escalation Module 7: Personal Action Plan for Stress Management and Burnout Prevention Reflecting on key learnings and takeaways Developing a personal stress management toolkit Building a balanced daily routine that integrates self-care practices Creating a self-care action plan for the next 30 days Accountability partners and follow-up strategies to track progress Final thoughts: Small changes for big impact Delivery Style Interactive and experiential with a mix of individual reflection, small group discussions, and practical exercises Case studies and real-life examples to illustrate stress management strategies Guided relaxation techniques and mindfulness practices Personal assessments and action planning for immediate application Course Materials Provided Stress Management Handbook Personal Stress Audit Worksheet Relaxation and Breathing Exercise Guide Resilience Building Tools and Templates Self-Care Action Plan Template Resource list: Apps, podcasts, and books for stress management Optional Add-ons One-on-one coaching or follow-up sessions to discuss personal stress management strategies Leadership or team coaching to create a stress-resilient culture A series of wellness webinars focused on specific stress-management tools (e.g., sleep hygiene, mindfulness, movement, etc.) Ongoing email support or resource sharing to reinforce learning

Course Duration: Half-day or full-day program (with virtual and in-person options) Target Audience: Professionals working remotely, hybrid teams, managers, HR leaders, and individuals looking to improve their work-life integration in today’s fast-paced, digital-first work environment. Course Objectives By the end of this course, participants will be able to: Understand the concept of work-life integration versus work-life balance. Recognise the challenges and benefits of working remotely or in hybrid settings. Learn practical strategies for managing boundaries, time, and energy. Cultivate habits that support both productivity and personal well-being. Apply tools to foster sustainable work-life integration in their teams and organisations. Course Outline Module 1: Rethinking Work-Life Integration The difference between work-life balance and work-life integration The challenges of work-life boundaries in a remote-first world The impact of technology on personal and professional lives Why flexibility matters: remote work as a tool for integration, not separation Module 2: Understanding Your Energy and Time Identifying personal energy patterns throughout the day Time audit: understanding how you currently allocate time and energy The role of breaks, boundaries, and rituals in energy management Tools for task prioritisation: Pomodoro, time blocking, and task batching Module 3: Managing Boundaries in a Digital World Setting and communicating clear boundaries for work and personal time Managing "always-on" culture in a remote environment Tools for setting expectations with colleagues and managers Creating a dedicated workspace and establishing personal rituals Saying no effectively: how to manage overcommitment and avoid burnout Module 4: Navigating Flexibility and Productivity The benefits and challenges of flexible working hours Time management strategies for remote and hybrid work settings Overcoming distractions: creating a productive work environment at home Staying focused and motivated without the physical office Managing work interruptions and creating space for personal time Module 5: Well-Being in Remote and Hybrid Work Importance of self-care and mental health in work-life integration Strategies for staying physically active, social, and mentally engaged remotely Building habits for sleep, mindfulness, and recovery Setting clear personal and professional goals to stay aligned with values Techniques for managing stress and avoiding burnout in a remote environment Module 6: Building a Remote-First Culture Leading with empathy: supporting remote teams’ well-being Fostering communication, trust, and accountability in hybrid teams Encouraging regular check-ins, feedback loops, and work-life check-ups Building a culture of flexibility and autonomy while maintaining performance Best practices for team collaboration and social connection in remote environments Module 7: Action Planning for Sustainable Integration Developing a personalised work-life integration plan Identifying areas of improvement: time, energy, boundaries, and well-being Setting achievable goals for short-term and long-term work-life integration Peer sharing: tips and strategies that have worked for you Building accountability structures: partners, progress tracking, and revisiting goals Delivery Style Highly interactive, with a mix of discussions, reflection exercises, and case studies Practical tools, tips, and templates that participants can apply immediately Group activities to share experiences and learn from peers Guided self-reflection and action planning for immediate impact Course Materials Provided Work-Life Integration Guide Time Audit Worksheet and Energy Mapping Tools Setting Boundaries Framework and Template Remote Work Well-Being Checklist Personal Action Plan for Sustainable Integration Resource list: Apps, podcasts, and books on work-life integration Optional Add-ons Post-course coaching or check-in sessions Customised team workshop focused on hybrid work challenges Leadership session on managing remote-first teams effectively Follow-up webinars on remote collaboration and staying connected

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 3 Days 18 CPD hours This course is intended for This introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have: Prior practical experience in Database Administration Experience working with Linux and be comfortable working with command line Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore: The MongoDB Basic Architecture and Installation MongoDB administration User Management MongoDB security Indexes Backup & Recovery High Availability / Replication Diagnostics & Troubleshooting MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation. Introduction to MongoDB Basic Architecture and Installation Differentiate database categories Learn MongoDB design goals List MongoDB tools Describe JSON and BSON Understanding the basic concepts of a Database Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property CAP Theorem, implementing NoSQL and what is MongoDB? Graph Database Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools Understanding the following: Collection, Documents and Key/Values, etc., Introduction to JSON and BSON documents Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package MongoDB Administration Take database backup and restore MongoDB© Export and import data from/ to a MongoDB© instance Check server status and DB status Monitor various resource utilization of a mongod instance Understand various optimization strategies Administration concepts in MongoDB Monitoring issues related to Database Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB Database Profiling, Locks, Memory Usage, No of connections, page fault etc., Backup and Recovery Methods for MongoDB Export and Import of Data to and from MongoDB Run time configuration of MongoDB Production notes/ best practices Data Managements in MongoDB (Capped Collections/ Expired data from TTL), TTL Collection Features GridFS Memory-Mapped Files Journaling Mechanics Storage Engines Power of 2-Sized Allocations No Padding Allocation Strategy Diagnosing Performance Issues Optimization Strategies for MongoDB Configure Tag Sets for Replica Set. Optimize Query Performance Monitoring Strategies for MongoDB . MongoDB Utilities MongoDB Commands MongoDB Management Service (MMS) Data Backup Strategies in MongoDB Copying Underlying Data Files Backup with MongoDump Fsync and Lock MongoDB Ops Manager Backup Software Security Strategies in MongoDB Authentication Implementation in MongoDB . Authentication in a Replica set Authentication on Sharded Clusters Authorization End-to-End Auditing for Compliance User Management Create a User Administrator. Add a User to a Database. Create/Assign User a Role. Verify/Modify a User Access/Privileges. Change a User?s Password MongoDB Security Knowing security concepts in MongoDB Understand how Authentication and Authorisation works Security Introduction Security Concepts Indexes Index Introduction, Index Concepts, Index Types Index Properties Index Creation and Indexing Reference Introduction to Aggregation Aggregation Approach to Aggregation sort Order Pipeline Operators and Indexes Text Indexes Aggregate Pipeline Stages Text Search MapReduce Index Creation Aggregation Operations Index Creation on Replica Set Remove, Modify, and Rebuild Indexes Listing Indexes Measure Index Use Control Index Use Index Use Reporting Geospatial Indexes MongoDB?s Geospatial Query Operators GeoWith Operator Backup & Recovery Import and Export MongoDB Data Restore and recovery of MongoDB(Including point in time Recovery) Restore a Replica Set from MongoDB Backups Recover Data after an Unexpected Shutdown Backup and Restore with Filesystem Snapshots Back Up and Restore with MongoDB Tools Backup and Restore Sharded Clusters High Availability (Replication ) Understand the concept of Replication in MongoDB© ? Create a production like Replica Set Introduction to Replication (High Availability), Concepts around Replication What is Replica Set and Master Slave Replication? Type of Replication in MongoDB How to setup a replicated cluster & managing replica sets etc., Master-Slave Replication Replica Set in MongoDB Automatic Failover Replica Set Members Write Concern Write Concern Levels Write Concern for a Replica Set Modify Default Write Concern Read Preference Read Preference Modes Blocking for Replication Tag Set Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns Oplog File Replication State and Local Database, Replication Administration Diagnostics & Troubleshooting Troubleshoot slow queries Diagnose connectivity problems Understand diagnostic tools Learn common production issues Learn fixes and solutions. Additional course details: Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) 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 Introduction to MongoDB for DBAs (TTDB4680) 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 intended for DBAs and IT Professionals who are responsible for administration and maintenance of PostgreSQL or EDB Postgres Advanced Server. It teaches the essential skills required by Postgres DBAs to be successful. Overview This certification exam assesses and certifies a database professional to demonstrate the fundamental skills necessary to maintain and manage a PostgreSQL server and applications in a production environment. This course presents the PostgreSQL database architecture and core administrative tasks including configuration, maintenance, monitoring, backups, recovery, and moving data. It also introduces learners to enterprise class tools for Postgres administration and prepares them to handle real time, production environments. Upon course completion, the learners will be prepared to manage large, highly available Postgres databases with confidence. Introduction and Architectural OverviewSystem ArchitecturePostgreSQL InstallationEDB Postgres Advanced Server InstallationDatabase ClustersConfigurationCreating and Managing DatabasesCommand Line User ToolsGUI ToolsSecurity BasicsSQL PrimerBackup, Recovery, and PITRRoutine MaintenanceData DictionaryMoving Data Additional course details: Nexus Humans Foundations of Postgres 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 Foundations of Postgres 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 This intermediate course is for Business and Technical Specialist working with the Matching, Linking, and Search services of InfoSphere MDM Virtual module. Overview Understand how Matching and Linking work for both the Virtual Implementations of InfoSphere MDM Understand the MDM configuration project and database tables used by the PME Understand the PME Algorithms (Standardization, Bucketing and Comparison steps) and how to create and customize the algorithms using the workbench Understand how to analyze the Bucketing steps in an algorithm Understand how to generate weights for a given algorithm and how those weights are generated based on a sample database set Understand how to analyze the weights that are generated using the workbench Understand how to deploy the PME configuration for the Virtual implementations of InfoSphere MDM The InfoSphere MDM Virtual Module Algorithms V.11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for Virtual MDM implementations. PME and Virtual Overview Virtual MDM Overview Terminology (Source, Entity, Member, Attributes) PME and Virtual MDM ( Algorithms, Weights, Comparison Scores, Thresholds) Virtual MDM Linkages and Tasks Virtual MDM Algorithms Standardization Bucketing Comparison Functions Virtual PME Data Model Algorithm configuration tables Member Derived Data Bucketing Data Bucket Analysis Analysis Overview Attribute Completeness Bucket Analysis Weights Weights Overview (Frequency-based weights, Edit Distance weights and Parameterize weights) The weight formula Running weight generation Analyzing weights Bulk Cross Match process Pair Manager Threshold calculations Additional course details: Nexus Humans ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 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 ZZ880 IBM Virtual Module Algorithms for InfoSphere MDM V11 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for 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 Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Solid foundation in Looker's platform: Acquire a comprehensive understanding of Looker's key features, functionality, and interface, enabling you to effectively utilize the platform for your data analysis and visualization needs. Proficiency in LookML and data modeling: Develop essential skills in Looker's unique data modeling language, LookML, to create efficient and customized data models tailored to your organization's specific requirements. Expertise in creating Explores: Learn how to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights in a short amount of time. Mastery of dashboard design and visualization: Gain the skills to design visually appealing and informative dashboards, create various types of visualizations, and customize them to effectively communicate your data story. Improved content organization with folders and boards: Understand how to effectively use folders and boards in Looker to organize, manage, and discover content, making your data insights easily accessible for you and your team. Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker is a one day, hands-on course designed to equip professionals from a variety of backgrounds with the knowledge and skills needed to harness the full potential of their data using Looker's powerful platform. With the guidance of our expert trainers, you will gain a basic understanding of Looker's features, enabling you to create visually engaging, interactive, and insightful reports and dashboards to drive informed decision-making. Throughout this interactive workshop, you will explore Looker's key functionalities, including connecting to data sources, mastering LookML, building custom Explores, and designing captivating dashboards. With about 40% of the course dedicated to hands-on labs and a guided project, you will have ample opportunity to apply the skills you've learned in real world scenarios. Don't miss this opportunity to elevate your data analysis and visualization capabilities, enhance your professional skill set, and unlock the power of data-driven decision making. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Connecting to Data Sources and LookML Basics 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 Data Visualization and Dashboard Design Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Organizing 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 Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Wrap-up and Q&A Additional course details: Nexus Humans Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 Project team members and Key-Users responsible for the maintenance of Execution Steps for process orders and production orders to generate interactive PI Sheets and work instructions for operators and workers in the production plant and to realize the data exchange with the automation and process control world. In this course, students will attain the ability to maintain Execution Steps for process orders and production orders to generate interactive PI sheets and work instructions. Course Outline Process management / process integration Control recipes / control instructions XSteps Process messages Customizing