57915 Courses

Joe Griffin reviews past theories and new research findings (which add further evidence for his own theory) as he tells the riveting story of how he solved the mystery of our dreams… Why does Nature select certain experiences to be the subject of our dreams? Why do they feel so meaningful to us? And what purpose do they serve? Fascinating - makes a lot of sense!SUPPORT WORKER Why take this course The renowned Irish psychologist Joe Griffin’s illuminating lecture answers these questions and many more as he takes us through the story of how he solved the mystery of why we dream – and discovered at the same time the significance of dreaming for our mental health. In the 20 years since Griffin first published his hypothesis, every new piece of dream and sleep research has substantiated it – none has contradicted it. In this talk, he examines the evidence and explains why other dream theories fail to come up with satisfactory answers. (His own 12 year research project was prompted by the realisation that the discovery of the REM state in 1953 meant Freudian and Jungian dream theories were ‘dead in the water’.) Whilst describing his own experiments and the key ‘light bulb’ moments which finally helped him solve this age-old mystery, he takes us on a fasincating exploration of the significance of various scientific findings in the field – some previously overlooked – before demonstrating how his expectation fulfilment theory of dreams succinctly pulls them together into a powerful explanation that makes absolute evolutionary and common sense. Nature, as ever, has been clever and economical. I appreciated how such a complex theory was expressed in a way that anyone could relate to and understand. Many ThanksNIKI What you will learn The auto-symbolic process Why all dreams have to be metaphorical to prevent false memories building up Metaphorical pattern-matching Why we evolved to suppress emotions Why dreaming was Nature’s way of conserving energy Why dreaming evolved to maintain the integrity of mammalian instincts The connection between unfulfilled emotional expectations and nightmares Dream predictions Why all mammals dream and more… Who is this course suitable for? If you deal professionally with members of the public in difficult, stressful circumstances, this course – presented without jargon – is for you If you counsel or treat angry people, this training is for you If anger is affecting you personally – or you would simply like to deepen your understanding of anger and its effects – this course will be of benefit to you too The many insights and practical applications that have stemmed from Griffin’s highly original work intro why we dream have huge significance for us all – and they have been quietly revolutionising the successful treatment of mental health and behavioural problems for years through the human givens approach to psychology, psychotherapy and education, co-founded by Joe Griffin and Ivan Tyrrell.

Overview This course covers distressed debt analysis and investing, focusing primarily on corporates but also including financial institutions and sovereign debt as special topics. The programme begins with the foundations of the distressed debt market, causes of and early warning signals, possible outcomes and how to evaluate the probability of outcomes in different scenarios. Restructuring is reviewed in detail, as well as estimation of sustainable debt levels, business valuation and the importance of capital and group structure. Differences between active control and passive non-control investments are highlighted, including stakeholder tactics and due diligence. Case studies cover a variety of companies across sectors and geographies, challenging delegates to make investment decisions on real distressed debt situations. Who the course is for Distressed debt investors, Loan portfolio managers and Private equity investors Hedge fund managers High yield credit analysts and Equity analysts High yield asset managers and Mergers and acquisitions bankers Debt capital markets/leveraged finance bankers Business turnaround/restructuring accountants/corporate finance professionals Lawyers Strategy consultants Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview A comprehensive and practical 3 days workshop on pricing, using and managing structured interest rate derivatives. What used to be called exotic interest rate derivatives are now commonplace and an essential part of the financial marketplace either as legacy transactions or embedded in new structures. This intensive course is for anyone who wishes to be able to use, price, manage, market or evaluate standard interest rate derivatives such as Constant Maturity Swaps, Range Accruals and Quantos. We also look in detail at such important products as CMS spread-linked structures and volatility/variance swaps, always from a pragmatic practitioner’s perspective. Who the course is for This course is designed for anyone who wishes to be able to price, use, market, manage or evaluate interest rate derivatives. Interest-rate sales / traders / structurers / quants IT Bank Treasury ALM Central Bank and Government Treasury Funding managers Insurance Investment managers Fixed Income portfolio managers IPV professionals Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Have you ever wondered why some people seem to be more prone to addiction than others? While addiction can affect anyone, certain individuals may have a higher susceptibility due to their personality traits and characteristics. This concept is often referred to as an addictive personality. While the term "addictive personality" may sound simple, it is important to understand that it is not a diagnosis or a definitive label. Instead, it is a set of traits and behaviours that may increase the risk of addiction. The concept of addiction and addictive behaviour has a rich and complex history deeply intertwined with human civilisation. From ancient times to our modern understanding, the evolution of addiction has been shaped by cultural, medical, and scientific developments.

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators or network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX-T Data Center Explain the features and benefits of NSX-T Data Center Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ and KVM hosts to participate in NSX-T Data Center networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX-T Data Center Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training on how to install, configure, and manage a VMware NSX-T? Data Center environment. This course covers key NSX-T Data Center features and functionality offered in the NSX-T Data Center 3.2 release, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and NSX-T Data Center Introduce the VMware Virtual Cloud Network vision Discuss NSX-T Data Center solutions, use cases, and benefits Explain NSX-T Data Center architecture and components Describe the VMware NSXTM product portfolio and features Explain the management, control, data, and consumption planes and function Preparing the NSX-T Data Center Infrastructure Describe NSX Management Cluster Deploy VMware NSXTM ManagerTM nodes on VMware ESXi and KVM hypervisors Navigate through the NSX Manager UI Explain data-plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and establish the data center infrastructure Verify transport node status and connectivity NSX-T Data Center Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the GENEVE encapsulation Configure logical segments and attach hosts using NSX Manager UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX-T Data Center Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 Gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 Gateways Examine the single-tier and multitier packet flow Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on Tier-0 Gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX-T Data Center Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX-T Data Center Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX-T Data Center Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy the NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of NSX Intelligence Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX-T Data Center Services Describe NSX-T Data Center services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX Manager UI NSX-T Data Center User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX-T Data Center Integrate VMware Identity Manager with NSX-T Data Center Integrate LDAP with NSX-T Data Center Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access NSX-T Data Center Federation Introduce the NSX-T Data Center Federation key concepts, terminology, and use-cases. Explain the onboarding process of NSX-T Data Center Federation Describe the NSX-T Data Center Federation switching and routing functions. Describe the NSX-T Data Center Federation security concepts.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Encourage people to think about how they can improve their performance through asking questions and coaching effectively. Course overview Duration: 1 day (6.5 hours) This workshop is suitable for anyone who is in a first line manager position looking to develop their coaching skills. The focus of the workshop is on understanding how coaching supports other management techniques, how it develops people and their performance, and how best to use coaching with your team. Objectives By the end of the course you will be able to: Define what coaching is and how it differs from and complements other management techniques State the benefits that coaching has for team members, managers and the business Use the key skills of coaching Implement strategies to deal with resistance to coaching Give feedback effectively while coaching Practice your coaching skills with real-life situations ContentWhat is Coaching How does coaching differ from mentoring, training, counselling? Giving advice vs coaching – The Power of 3 How does coaching support performance? Coaching as a leadership style Benefits of Coaching What are the benefits of taking a coaching approach for Team membersManagersThe wider organisation Key Skills How to build rapport for a positive coaching relationship Effective listening – understanding and practising the different levels involved in active listening Smart questioning The power of observation – reflecting back what isn’t being said Practical application throughout The GROW model for Coaching Understanding how to use the GROW model Types of questions to use at each stage Demonstration and practice Resistance for Coaching and Strategies Why might people be resistant to coaching? The role of “experts”, self-talk and self-concept in our thinking Expanding comfort zones Contracting and ethics Feedback/Directive Coaching Directive vs Non-Directive Coaching How and when to give feedback when coaching A feedback model Practice Action Planning

Total SAGE Training (Sage 50 Accounts + Sage Payroll Training) Want to open the door to working in Finance and Accountancy Industry? Starting our Total Sage Training courses will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Total Sage Training courses are combined with Sage 50 Accounts and Sage Payroll Training. You will receive a CPD Completion Certificate from Osborne Training once you finish the course. You also have an Option to attain Certificate from SAGE(UK) subject to passing the exams. What qualification will I gain for Sage Training Courses? CERTIFICATION FROM SAGE (UK) As Osborne Training is a Sage (UK) Approved training provider, you could gain the following qualifications provided that you book and register for exams and pass the exams successfully: Sage 50c Computerised Accounting Course (Level 1) Sage 50c Computerised Accounting Course (Level 2) Sage 50c Computerised Accounting Course (Level 3) Sage 50c Computerised Payroll Course (Level 1) Sage 50c Computerised Payroll Course (Level 2) Sage 50c Computerised Payroll Course (Level 3) Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Learn how to use OneNote to create, organize and populate electronic notebooks. Course overview Duration: 4 hours OneNote is a digital notebook and can be a great way to easily take notes. Whether for meetings, on training courses or to help with to do lists. It works very much like it’s paper copy equivalent but, of course, with lots of enhanced features. Its integration with Outlook and the other office applications means you can easily take notes and link them to documents meeting details and then email them out. You can even add audio and video notes as reminders. Objectives  By the end of the course you will be able to: Create and manage notebooks Add contents Tag and prioritise content Create notes from other applications Create To Do Lists and integrate into Outlook Content Using OneNote Creating notebooks Creating sections and pages Formatting pages Using page templates Creating page templates Reordering sections and pages Deleting sections and pages Creating OneNote content Adding text Bullet lists Adding tables Adding images Adding drawings Adding links Adding audio and video notes Tagging Tagging Creating custom tags Creating to-do lists Searching and filtering for tags Notes Creating quick notes Filtering them in OneNote notebooks Linked notes Outlook integration Linking to tasks in Outlook Flagging notes for follow up Inserting Outlook meeting content Taking minutes Emailing OneNote pages Send emails to OneNote

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