Duration 2 Days 12 CPD hours This course is intended for This course is designed for individuals in a variety of job roles whose primary responsibility is not project management, but who manage projects on an informal basis; who contribute as members of a project team; or who wish to incorporate project management practices into their personal work. It is also beneficial for anyone who is considering a career path in project management and desiring a complete overview of the field and its generally accepted practices. Overview In this course, you will identify the elements of sound project management and apply the generally recognized project management practices to successfully manage or participate in projects. You will: Identify the key processes and requirements of project management. Initiate a project. Use a Predictive approach to plan for time and cost. Use an Adaptive approach to plan a project. Plan for project risks, communication, and change control. Manage the execution of a project. Close a project. This course teaches the fundamentals of project management and its underlying structure and elements, including project phases, project life cycles, stakeholders, and areas of expertise. These, coupled with the ability to identify the project management processes that are recognized industry wide as good practice, will help you to apply effective project management techniques to improve the efficiency of your projects and ensure their success. This course is designed to cover various project management approaches and is not intended to focus on a single methodology or framework. Lesson 1: Getting Started with Project Management Topic A: Identify the Characteristics of a Project Topic B: Identify the Project Approach Topic C: Identify the Leadership Roles in a Project Lesson 2: Initiating a Project Topic A: Create a Project Scope/Vision Statement Topic B: Identify the Essential Skills for a Project Team Topic C: Identify the Risks to a Project Lesson 3: Planning for Time and Cost in Predictive Projects Topic A: Create a WBS Topic B: Create a Project Schedule Topic C: Determine Project Costs Lesson 4: Planning for Adaptive Projects Topic A: Create Epics and User Stories Topic B: Build a Product Backlog Topic C: Create an Initial Release Plan Topic D: Conduct a Sprint Planning Meeting Topic E: Replan the Project Lesson 5: Planning for Project Risks, Communication, and Change Control Topic A: Analyze the Risks to a Project Topic B: Create a Communication Plan Topic C: Develop a Change Control Plan Lesson 6: Managing a Project Topic A: Begin Project Work Topic B: Execute the Project Plan Topic C: Track the Progress of an Adaptive Project Topic D: Report Project Performance Topic E: Implement Change Control Lesson 7: Closing a Project Topic A: Close a Sprint, a Release, or an Adaptive Project Topic B: Close a Predictive Project Topic C: Create a Final Report
Duration 5 Days 30 CPD hours This course is intended for System administrators System integrators Overview By the end of the course, you should be able to meet the following objectives: Introduce troubleshooting principles and procedures Practice Linux commands that aid in the troubleshooting process Use command-line interfaces, log files, and the vSphere Client to diagnose and resolve problems in the vSphere environment Explain the purpose of key vSphere log files Identify networking problems based on reported symptoms, validate and troubleshoot the reported problem, identify the root cause and implement the appropriate resolution Analyze storage failure scenarios using a logical troubleshooting methodology, identify the root cause, and apply the appropriate resolution to resolve the problem Troubleshoot vSphere cluster failure scenarios and analyze possible causes Diagnose common VMware vSphere High Availability problems and provide solutions Identify and validate VMware ESXi⢠host and VMware vCenter Server problems, analyze failure scenarios, and select the correct resolution Troubleshoot virtual machine problems, including migration problems, snapshot problems, and connection problems Troubleshoot performance problems with vSphere components This five-day, hands-on training course provides you with the advanced knowledge, skills, and abilities to achieve competence in troubleshooting the VMware vSphere© 7.x environment. This workshop increases your skill and competence in using the command-line interface, VMware vSphere© Client?, log files, and other tools to analyze and solve problems Course Introduction Introductions and course logistics Course objectives Introduction to Troubleshooting Define the scope of troubleshooting Use a structured approach to solve configuration and operational problems Apply a troubleshooting methodology to logically diagnose faults and improve troubleshooting efficiency Troubleshooting Tools Use command-line tools (such as Linux commands, vSphere CLI, ESXCLI) to identify and troubleshoot vSphere problems Identify important vSphere log files and interpret the log file contents Troubleshooting Virtual Networking Analyze and resolve standard switch and distributed switch problems Analyze virtual machine connectivity problems and fix them Examine common management network connectivity problems and restore configurations Troubleshooting Storage Troubleshoot and resolve storage (iSCSI, NFS, and VMware vSphere© VMFS) connectivity and configuration problems Analyze and resolve common VM snapshot problems Identify multipathing-related problems, including common causes of permanent device loss (PDL) and all paths down (APD) events and resolve these problems Troubleshooting vSphere Clusters Identify and recover from problems related to vSphere HA Analyze and resolve VMware vSphere© vMotion© configuration and operational problems Analyze and resolve common VMware vSphere© Distributed Resource Scheduler? problems Troubleshooting Virtual Machines Identify possible causes and resolve virtual machine power-on problems Troubleshoot virtual machine connection state problems Resolve problems seen during VMware Tools? installations Troubleshooting vCenter Server and ESXi Analyze and fix problems with vCenter Server services Analyze and fix vCenter Server database problems Examine ESXi host and vCenter Server failure scenarios and resolve the problems
Duration 3 Days 18 CPD hours This course is intended for This course is intended for the following technical professionals who need to use advanced features of fiber optics technology: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Perform the ONS 15454 MSTP node turn-up procedure Describe first generation mesh topologies Describe the Optical Channel Network Connection (OCHNC) prerequisite requirements for provisioning circuits in an ONS 15454 MSTP network Describe the ONS MSTP advanced protocols Describe the OCHNC circuit provisioning for Single Module (SM) Reconfigurable Optical Add-Drop Multiplexer (ROADM) rings Describe the Any-Rate Muxponder Crossponder (AR MXP/XP) cards Describe how the Pseudo Command Line can be used to configure muxponder cards Identify the advantages G.709 encapsulation brings to optical transponder cards Install and provision the Any Rate cards Describe the 100-Gbps and 200-Gbps cards Describe the NCS 2000 400-Gbps Xponder line card and how it is configured Describe the SM ROADM (SMR)-based configurations Describe the 10-Gbps transponder and muxponder cards List the 10GE_XP and GE_XP card options Describe ingress policing and basic egress queuing strategies, and implement the customer QoS scheme into the ONS 15454 crossponder network Identify the principles of Ethernet related to the operation of Cisco optical networking products Configure the 10GE_XP/XPE and GE_XP/XPE cards, install Layer 1 circuits, and read the performance counters for Layer 1 Gigabit Ethernet circuits Turn up an encrypted network and test to ensure that information being passed is secure Add a node to an existing DWDM ring Describe problems with interconnecting circuits between rings, the ONS 15454 MSTP 80-channel manual Multiring feature, and hardware components Describe the ONS 15454 MSTP Troubleshooting Guide The Cisco Optical Technology Advanced (OPT300) v2.0 course gives you the skills you need to deploy advanced features of the Cisco© Optical Networking Services (ONS) 15454 Multiservice Transport Platform (MSTP) and Cisco Network Convergence System (NCS) 2000 Series. In this course you?ll learn to how to use the Cisco Transport Planner Design Tool to create network topologies and advanced network topologies. You will learn how to use advanced Dense Wavelength Division Multiplexing (DWDM) features such as G.709 encapsulation, generic framing protocol G.7041, Layer 1 circuits, Quality of Service (QoS), crossponder networks using T1 over Ethernet, and encryption. Course Outline Cisco Transport Planner Design Tool First-Generation Mesh Topologies Ochnc In A Mesh Network Advanced Protocols Any Rate Muxponder And Crossponders 100-Gbps And 200-Gbps Transponders And Muxponders Cisco Ncs 2000 400-Gbps Xponder Line Card Cisco 10G Web Security Essentials (Wse) Network Encryption Card Adding A New Location With Cisco Transport Planner (Ctp) And Cisco Transport Controller (Ctc) Crossponders And Layer 1 Networks Crossponders And Layer 2 Networks Troubleshooting
Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client
Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures
Duration 1 Days 6 CPD hours This course is intended for IT professionals interested in understanding the capabilities of the MDS 9000 Series, including: Data center architects Data center engineers IT directors IT managers Network architects Network engineers Solutions architects Systems engineers Overview After taking this course, you should be able to: Describe Cisco MDS SAN features and advantages Define fixed and modular platforms Understand Cisco MDS architecture and high-availability mechanisms Identify technologies used in modern SANs Describe SAN management with Cisco Data Center Network Manager (DCNM) Explain key value-add features that distinguish Cisco MDS switches The Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.5 course gives you a technical overview of how Cisco Multilayer Director Switch (MDS) 9000 Series, can be used to build highly available and scalable storage networks with advanced security and unified management. The course is for technical decision makers and IT professionals who architect, implement, and manage data center Storage Area Network (SAN) environments. In this course, you?ll learn about key capabilities of the MDS 9000 Series, including platforms, architecture, software, management, and key features that contribute to performance, high availability, flexibility, and operational simplicity of storage environments. Define Cisco MDS Platform Overview Introduction and Advantages of Cisco MDS Fixed Platforms Modular Platforms Describe Cisco MDS Architecture Store-and-Forward Architecture High Availability Redundancy Explore Cisco MDS Key Features Virtual Storage Area Networks Port Channels Slow Drain Device and Path Analysis Using Congestion Control Mechanisms Cisco DCNM SAN Insights for SAN Analytics Zoning Smart Zoning Other Differentiating Features Examine Cisco MDS Management Cisco Data Center Network Manager Additional course details: Nexus Humans Cisco MDS 9000 Series Switches Overview v1.5 (DCMDSO) 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 MDS 9000 Series Switches Overview v1.5 (DCMDSO) 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.
The principles of effective time management are applicable to all aspects of life. When successfully applied in a sales environment they can lead to improved performance, higher sales and increased customer satisfaction. All salespeople would benefit from learning the tools and techniques to introduce impactful time management to their working lives. We have developed this programme to be practical, fun and interactive. Participants will better understand how to increase the amount of time spent on high-value sales activities, be able to improve their self-motivation and ability to get more done, and be better able to plan, delegate and speed up routine tasks. This course will help participants: Learn key principles of managing sales priorities, meeting targets and getting 'everything' done! Learn proven techniques for structuring your day, week and normal routine Develop effective sales time management at the office and on the road Learn a seven-step process for setting goals and objectives in your work and personal life Understand how to make time for sales prospecting, designated call days Understand practical ways to improve your time management 1 Key principles of sales time management Course objectives and review of time log Essential principles of sales time management How do you use your time now? Reviewing your working day (from pre-course survey) Beliefs and feelings about time 2 Managing sales priorities and planning systems Managing priorities and planning systems Use organised persistence to plan your sales activity Planning your territory and prospecting activity How to use priority ratings not urgency to react to tasks 3 Dealing with distractions and communication skills Know your time 'bandits' and creating more positive habits to overcome them Making time by saying 'no' assertively and managing expectations Assertiveness techniques for handling colleagues and clients Making meetings worthwhile - preparation and planning 4 Sales goal setting and action planning Set clear, concise, and motivating sales goals and action plans How to set and use goal setting as way of managing your time and increasing results The principles of linking SMART objectives to action plans and daily activities 5 Creating results focus - every day, week, and month Batch sales tasks together, starting with emails Planning your day and week and protecting sales 'prime' time Apply the 80/20 to your sales contacts, clients, and prospects 6 Overcoming procrastination and structuring your day Understanding procrastination, what it is and how to recognise it in yourself and others How to stop procrastinating and start making progressing Build a power prospecting hour into every day Smart stuff to make more sales time: five automated tools Live the $64,000 dollar question
An accredited qualification to prepare supervisors and team leaders for a future management role. This programme gives Team Leaders & Managers the skills, disciplines and confidence to manage their team effectively and add a great deal more value to the organisation - where they have to apply their learning in order to achieve the highly coveted ILM qualification. In order for a business to obtain maximum results, it is important that employees are motivated and supported in their job roles. It is the responsibility of the team leader or supervisor to lead their team effectively and present feedback to management. This 3-day programme will guarantee to boost your performance as a team leader and help you make the transition from working in a team to leading a team. We use a combination of theory and practical to help you develop yourself, and a toolkit of resources to use in the workplace. This is an internationally accredited course which not only carries kudos but it ensures you apply the learning back into the workplace for an immediate impact. All of our ILM Programmes are provided in partnership with BCF Group Limited, which is the ILM Approved Centre we deliver under. Course Syllabus The syllabus of the ILM Level 2 Award in Leadership and Team Skills course is split into three main modules, covering the following: Module One Developing Yourself as a Team Leader Learning the various roles, functions and responsibilities of a team leader - depending on workplace Recognising limits of authority and accountability, and how these are defined Developing personal skills and abilities for effective team leading Using reflective learning skills to improve performance Identifying areas of strength and possible improvement Finding ways of obtaining feedback from others Receiving and responding positively to feedback Module Two Workplace Communications Learning stages in the communication process Consideration of the recipient's needs Spotting barriers to communication and how to overcome them Establishing a range of direct communication methods relevant to the team Collating a range of direct communication methods relevant to people outside own area of responsibility. This includes written, telephone, e-mail and face-to-face Recognising the aspects of face-to-face communication, including appearance, impact, body language Realising the importance of succinct and accurate records of one-to-one oral communication Reasons for maintaining records of one-to-one communication (e.g. potential disciplinary or legal issues) Module Three Managing Yourself Setting SMART objectives and using them to prioritise own actions Learning simple time management techniques Developing an awareness of own skills and abilities Giving yourself personal objectives in relation to team objectives Developing flexibility and responding to daily changing circumstances Diagnosing the causes and impacts of stress at work Identifying symptoms of stress in yourself Knowing the implications of stress for workplace and non-work activities/relationships Developing simple stress management techniques Available sources of support Action planning and review techniques Accreditation As with all ILM accredited programmes, participants will need to complete the post-programme activity in order to achieve their full ILM Level 2 Award in Team Leading. This element is designed to show to ILM that you are able to apply what you have learned in the workplace. Who Is It For? This programme is ideal for practising or aspiring team leaders, in any industry sector, who is looking to gain a solid foundation or develop their existing skills as a team leader. This internationally recognised course will give you a solid understanding of what is needed to be a successful team leader, how to delegate, motivate and how to implement these skills in to your work place. What Will I Learn? At the end of the course, successful candidates will: Have a good understanding of the team leader role Apply a range of effective communication skills to overcome barriers Know how to motivate, build confidence and gain the best from their teams Identify, build and encourage effective team behaviours Apply practical skills and knowledge to be transferred to the workplace Gain an internationally recognised qualification What Is Required? There are no formal entry requirements, but participants will normally be either practising or aspiring team leaders, with the opportunity to meet the assessment demands and have a background that will enable them to benefit from the programme. Scheduled Courses Unfortunately this course is not one that is currently scheduled as an open course, and is only available on an in-house basis. For more information about running this course in-house at your premises, please contact us for more information.
Duration 2 Days 12 CPD hours This course is intended for This is an introductory-level course for Users new to Tableau who will be administering a Tableau Server installation, including managing content, users, and permissions. Overview This skills-focused course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. 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 led by our expert facilitator, students will learn how to: User interactions with Tableau Server Tableau Server components Single-server installation Content administration Authorization and permissions Users, groups, and sites Data sources and extracts Schedules, tasks, and subscriptions Monitoring server status Command-line utilities and REST API Upgrading a single-server installation to a new version Modifying the authentication method This fast paced hands-on course provides in-depth coverage of Tableau Server administration. The knowledge and skills acquired are best geared toward those who will be administering a Tableau Server installation, including managing content, users, and permissions. Tableau Server Overview Tableau Product Line End-User Abilities Tableau Server Architecture Component Functions Server Diagrams Single Server Installation Technical Specifications Tableau Server Installation Checklist Configuration Options Resolutions for Common Installation Issues Installing Tableau Server Software User Experience Content Navigation, Searching, and Filtering Exploring Server Content Types and Objects Updating Account Settings Setting the Start Page Viewing Version Information Renaming a Project Adding a Workbook Description Authorization and Permissions Administrator Settings Authorization Overview Functional Security Model Site Roles Content Ownership and Permissions Permission Rules and Capabilities Permissions and the Default Project Creating Projects, Local Groups, and a Local User Importing Users and Adding Users to Groups Granting Permissions to Projects Creating a Project Leader Publishing and Changing Ownership of a Workbook Moving a Workbook Site Administration Data Sources, Extracts, Schedules, and Subscriptions Creating, Publishing, and Connecting to a Data Source Data Engine and File Store Creating and Publishing Extracts Backgrounder Schedules Subscriptions Enabling Subscriptions and Alerts Automating Server Tasks Automating and Programming Server Tasks Tabadmin Tabcmd Using the REST API Monitoring Server Viewing Server Status Admin Alerts Viewing Email Alerts and Admin Views Enabling Access to the Repository Custom Admin Views Licensing Information Performance Recording Upgrading Tableau Server Preparing to Upgrade Upgrading Software on the Same Machine Modifying the Authentication Method Importing AD Groups Log Files Administration Overview of Log Files Archiving Log Files Data Security Controlling What Users Can See User Filters
Take your sales people from average to high performance. Motivate and develop experienced sales professionals with some new insights and learning. Applying NLP principles, techniques and models, this workshop will introduce the core attitudes and behaviours that differentiate the excellent sales person from the average one. The programme will help participants: Understand and adopt the mindset and beliefs needed for sales excellence Build rapport and connect with buyers at a deeper and more personal level Recognise some of the thinking and language patterns that make each individual unique Ask powerful questions to further understand the unique world of the individual and how they make decisions Apply tools and techniques to empathise with clients - seeing things from their perspectives Tailor their sales approach to the individual buyer's style, and talk in their language Influence with integrity and sell to organisations and individuals successfully 1 Introduction Aims and objectives of the programme Personal introductions and objectives Workshop overview 2 An introduction to NLP and sales excellence with NLP An overview of NLP and applying it to selling The pillars of NLP The NLP model of communication The difference that makes the difference 3 Building enhanced rapport Defining rapport and why it is important when selling Going beyond the initial small talk Building relationships with individual decision-makers Matching and mirroring Levels of rapport 4 Understanding the buyer's personal buying map How we take in, filter and process information How we judge others based on our own experiences of the world The different ways in which we communicate when selling Recognising and understanding the language and thinking patterns of others Adapting your sales communication style to different buyers 5 Making sense of the buying process How we filter information through our senses Understanding how we see, hear and experience the world Visual, auditory and kinaesthetic buyers Listening for key insights What different buyers want from you to help them to buy Applying sensory awareness to the sales process 6 Successful sales mindset The connection between thoughts and actions The sales beliefs of excellence Identifying negative thoughts and beliefs that are holding you back How to change your mindset Adopting the sales beliefs of excellence 7 Powerful questions Reviewing and honing your questioning skills Understanding the questions that great sales people ask Avoiding assumptions Clean language questions Getting to the bottom of it - precision questions Turbo-charging how you qualify 8 Influencing with integrity Understanding empathy Stepping into the buyer's shoes Speaking the buyer's language Tailoring your sales approach to the individual Match, pace, lead - how to take your buyer with you 9 Putting it all together Personal learning summary and action plans