Duration 3 Days 18 CPD hours This course is intended for Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Ideally candidates should have at least two years professional experience working in IT Service Management. The ITIL 4 HVIT Qualification would most likely suit the following delegates: Individuals continuing of their journey in service management ITSM managers and aspiring ITSM managers IT managers and practitioners involved in digital services or working in digital transformation projects, working within or towards high velocity environments Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This course has been created to help IT service management practitioners working in organizations that are becoming more digitally enabled. The practitioners are familiar with traditional IT service management concepts, and now want to be able to discuss ?digital? with more confidence, to develop practical competences, and to be valued contributors in the digital domain. They want to improve how they and their co-workers: Help get customers? jobs done ? helping customers become who they seek to become Keep raising the bar ? taking things to a significantly higher level Trust and are trusted ? as professional knowledge workers in a healthy workplace Accept ambiguity and uncertainty - not scared of not knowing an answer Commit to continual learning ? all as part of their daily work The scope of the course is the primary activities in the digital value chain. In other words, what the practitioner does and which resources they use across the lifecycle of digital products, in order to: Make the right digital investments Realize and deliver digital products and services quickly Provide digital products and services that are highly resilient to disruption Ensure that the service consumer realizes value from the digital products and services Assure conformance of activities with governance, risk and compliance requirements. Understand and know how to use the key principles and methods of Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in directing, planning and improvement Understand and know how to direct, plan and improve value streams and practices ITIL 4 is a framework for quality IT service management (ITSM) through proven best practice, providing practical and flexible guidance to support your organization on its journey to digital transformation while empowering your IT teams to continue to play a crucial role in the wider business strategy. This course highlights the ways in which digital organizations and digital operating models function in high-velocity environments, including the use of working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - THE NATURE OF HIGH-VELOCITY IN A DIGITAL WORLD Overview of the key ITIL 4 high-velocity terminology Understand when the transformation to high velocity IT is desirable and feasible Understand the five objectives associated with digital products ? to achieve: Valuable investments ? strategically innovative and effective application of IT Fast development - quick realization and delivery of IT services and IT-related products Resilient operations - highly resilient IT services and IT-related products Co-created value - effective interaction between service provider and consumer Assured conformance - to governance, risk and compliance (GRC) requirements. 2 - ITIL OPERATING MODEL ? DIGITAL PRODUCT LIFECYCLE Understand how high velocity IT relates to: The four dimensions of service management The ITIL service value system The service value chain The digital product lifecycle 3 - FUNDAMENTAL CONCEPTS FOR DELIVERING HVIT Understand the following concepts: Ethics Safety culture Toyota Kata Lean / Agile / Resilient / Continuous Service-dominant logic Design thinking Complexity thinking Use the principles, models and concepts to contribute to: Help get customers? jobs done Trust and be trusted Commit to performance Deal with uncertainty Improve by being inquisitive 4 - ACHIEVING VALUE WITH DIGITAL PRODUCTS Know how the service provider ensures valuable investments are achieved. Know how to use the following practices to contribute to achieving valuable investments: Portfolio management Relationship management Know how the service provider ensures fast deployment is achieved Know how to use the following practices to contribute to achieving fast deployment: Architecture management Business analysis Deployment management Service validation and testing Software development and management Know how the service provider ensures resilient operations are achieved Know how to use the following practices to contribute to achieving resilient operations: Availability management Capacity and performance management Monitoring and event management Problem management Service continuity management Infrastructure and platform management Know how the service provider ensures co-created value is achieved Know how to use the following practices to contribute to achieving co-created value with the service consumer: Relationship management Service design Service desk Know how the service provider ensures assured conformance is achieved Know how to use the following practices to contribute to achieving assured conformance: Information security management Risk management
Duration 5 Days 30 CPD hours This course is intended for Change Managers: Responsible for documentation, approval and change processes System Landscape Architects: Responsible for the design of the transport landscape topology System Administrators: Responsible for executing transports Development Managers: Responsible for performing development changes Application Manager: Responsible for approving and performing changes in an application Support Manager and members of the customer's SAP competence center: Responsible for Reporting and Diagnostics capabilities Partners and System Integrators Overview This course will prepare you to: Describe the concept and methods of E2E Change Control Management. Leverage the SAP Solution Manager 7.2 as application platform for E2E Change Control Management. In this course you will learn how change control management coordinates changes that are introduced into a software landscape so that the changes do not conflict with each other and how to make sure the changes are executed without disrupting ongoing business. This results in improved quality of the software landscape, higher availability of IT solutions, and lower total cost of ownership. Also important, change control management ensures that the changes introduced remain transparent, traceable and are made available for reporting and change analysis. Becoming adept at change control management requires skill in the efficient use of standardized methods and procedures. In this ?how to use? training, SAP imparts best-in-class knowledge of solution operations. The End-to-End Change Control Management course introduces participants to what change control management is and the standard tools used to accomplish it, tools provided by SAP Solution Manager. Introduction to E2E Change Control Management Explain the scope of End-to-End Change Control Management Explain the role of SAP Solution Manager to manage changes in your solution landscape Enhanced Change and Transport System Explain how the Enhanced Change and Transport System (CTS+) works Understand the basic concepts of Enterprise Portal and how it is supported by CTS+ Describe the best practices for the setup and usage of CTS+ in different scenarios Configuration Validation Understand the concepts and architecture of E2E Change Diagnostics Find current configuration information with the Change Reporting tool Find recent changes in the solution landscape with the E2E Change Analysis tool Compare multiple systems with the Configuration Validation tool Create targets, use operators and run validation reports Know how to use predefined reports in the report directory Transport and Execution Analysis Service and Transport and Execution Analysis Service for Projects Know how to run and use this self-check services within SAP Solution Manager Understand how to interpret the software change management KPIïs that are collected for your landscape Software Change Strategy Understand the limitations of a three-system landscape Understand the benefits of bundling changes in cycles and synchronized releases Transport Management with SAP Solution Manager Understand the change control landscape concept for transport management in SAP Solution Manager 7.2 Understand the usage of critical objects, cross system object locking and downgrade protection Know how to use retrofit in a dual landscape Understand the features of cCTS, which can be used for Quality Gate Management and Change Request Management parallel to CTS. Quality Gate Management Explain the concept of Solution Transports and Track Synchronization Setup and use Quality Gate Scenario as a central Transport Management Tool Create and release transport requests centrally in SAP Solution Manager for ABAP and Non-ABAP environments Know how to work within the Quality Gate Scenario Change Request Management Understand the different use cases for Change Request Management Describe the various elements of Change Request Management as part of SAP Solution Manager Understand SAP?s best practices for transport management which are implemented in Change Request Management Know how to work with Change Request Management Release Management Learn how to manage Release Management with SAP Solution Manager Understand how to manage the successful deployment of all related changes into the productive environment.
ISO 3834:2021 (Quality requirements for fusion welding of metallic materials) Lead Auditor” course provides comprehensive training for participants to be able to understand and audit each and every ISO 3834:2021 guidelines in ensuring orgnaisation compliance and continual improvement in the welding industry
Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies
Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Solutions Architects and Engineers who perform cloud migrations IT Project Managers who are involved in projects related to migrating existing workloads to the AWS Cloud Overview This course is designed to teach you how to: Explain the various cloud migration strategies Assess cloud migration readiness Discover your portfolio and plan for migration Plan and design your application migration strategy Perform and validate application migration to the cloud Optimize your applications and operations after migrating to the cloud Migrating to AWS focuses on planning and migrating existing workloads to the AWS Cloud. The course covers various cloud migration strategies with a detailed discussion on each phase of the migration process, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation and application optimization. This course is designed for Solutions Architects and Engineers who perform cloud migrations, have an understanding of core AWS services and design patterns covered in Architecting on AWS. This course is also available to IT project managers involved in the planning of those migrations who have completed AWS Technical Essentials Module 1: Migrating to AWS ? Overview Migration process 'Mental Model' Cloud Migration Strategies Comparing Cloud Migration Strategies Cloud Center of Excellence (CoE) Cloud Migration Readiness Assessment AWS Cloud Migration Process Group activity: Creating a high-level migration plan Module 2: Discovery and analysis Migration Process Roadmap AWS Migration Methodology AWS Application Discovery Service Portfolio Analysis Hands-on lab 1: Performing discovery Module 3: Migration planning and design (part I) AWS Migration Hub Pricing and Availability Process Group activity: Creating a detailed migration plan Module 3: Migration planning and design (continued) Application migration ordering Application prioritization criteria Defining success criteria Migration methodology Designing for migration Module 4: Migration, integration, and validation Migration considerations Data migration AWS Snow Services AWS Data Migration Service (DMS) Server migration Demonstration: Server migration service Hands-on lab 2 : Migrating databases to AWS EC2 Hands-on lab 3 : Migrating databases to Amazon Aurora Module 5: Operations and optimization On premises vs. cloud IT operations Optimizing in the AWS Cloud Case study: Optimizing an application
Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who need to manage instances of Salesforce Sales Cloud©. Target students have Sales Cloud user skills and are often existing Sales, Administrative, or Operations support employees, IT employees who are given the additional responsibilities of Salesforce.com© system administration, or external consultants who have been engaged to provide administrative support for an organization.This course can also be an important component of preparing for the Salesforce Certified Administrator exam for students who are seeking the Salesforce Certified Administrator certification. Overview In this course, students will perform the basic skills required of a typical Salesforce system administrator.Students will:- Describe basic concepts related to Salesforce administration.- Set up an organization.- Manage user accounts.- Implement security controls.- Configure the Salesforce Classic user interface.- Support the Lightning Experience user interface.- Customize pages.- Manage Opportunities.- Implement additional Opportunity features.- Implement data validation and workflows.- Manage Leads.- Manage Accounts.- Manage Contacts.- Manage Campaigns.- Manage Cases.- Manage custom objects.- Manage data.- Configure views, reports, and dashboards.- Integrate and extend Salesforce. In this course, students will identify information about the five native business processes every company can manage using Salesforce, regardless of the License Edition. Students will also gain insight into each of the functional groups of users (Inside Sales, Outside Sales, Marketing, Customer Support, and Management), and they will establish patterns of critical thinking that can help them to ensure that they are indeed taking the right approach and providing the necessary support for each request they receive. Introduction to Salesforce Administration The Salesforce Data Model SMART Administration Principles Setting Up an Organization Manage the Company Profile Configure Organizational Settings Managing User Accounts Create User Accounts Manage Users Implementing Security Controls Salesforce Security Essentials Configure Profiles Establish Organization-Wide Sharing Defaults Configure Roles Create Sharing Rules Perform a Health Check Configuring the Salesforce Classic User Interface Configure User Interface Settings Customize the Home Page in Salesforce Classic Configure Search in Salesforce Classic Supporting the Lightning Experience User Interface Implement Lightning Experience Customize Lightning Experience Home Pages Customizing Pages Create Page Layouts in Salesforce Classic Customize Record Pages in Lightning Experience Introduction to Opportunity Management Opportunity Management Essentials Design and Implement Opportunity Fields Design and Implement Opportunity Stages Design and Implement Opportunity Contact Roles Design and Create Opportunity Record Types Implementing Additional Opportunity Features Implement and Maintain Opportunity Products and Price Books Implement the Similar Opportunities Function Implement Opportunity Teams Create a Big Deal Alert Implementing Data Validation and Workflows Create and Test Validation Rules Create and Test Workflows Managing Leads Lead Management Essentials Design and Implement Lead Fields Design and Implement Custom Lead Sources Design and Implement Web-to-Lead Forms Design and Implement Lead Assignment Rules Managing Accounts Design an Account Management Model Implement an Account Management Model Managing Contacts Design a Contact Management Strategy Implement a Contact Management Strategy Managing Campaigns Prepare for Campaign Management Administer a Campaign Management Strategy Managing Cases Case Management Essentials Design and Implement Case Fields Design and Implement Case Origins Automate Case Management Providing Apps and Custom Objects Supply Apps in Salesforce Classic Supply Apps in Lightning Experience Managing Data Data Management Essentials Import and Update Data Back Up and Restore Data Configuring Views, Reports, and Dashboards Create Views Create and Manage Reports Create and Manage Dashboards Integrating and Extending Salesforce Integrate Salesforce and Outlook Implement Salesforce1 Implement SalesforceA Additional course details: Nexus Humans Salesforce.com - Sales Cloud Administration Essentials 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 Salesforce.com - Sales Cloud Administration Essentials 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 designed for students looking to establish a foundational understanding of Microsoft Access for Office 365, including the skills necessary to create a new database, construct data tables, design forms and reports, and create queries. Overview In this course, you will create and manage an Access database. You will: Navigate within the Access application environment, create a simple database, and customize Access configuration options. Organize and manage data stored within Access tables. Use queries to join, sort, and filter data from different tables. Use forms to make it easier to view, access, and input data. Create and format custom reports. In this introductory course, you will discover the capabilities of Microsoft© Access©, a relational database application that can help you and your organization manage your complex data. Working with an Access Database Topic A: Launch Access and Open a Database Topic B: Use Tables to Store Data Topic C: Use Queries to Combine, Find, Filter, and Sort Data Topic D: Use Forms to View, Add, and Update Data Topic E: Use Reports to Present Data Topic F: Get Help and Configure Options in Microsoft Access Creating Tables Topic A: Plan an Access Database Topic B: Start a New Access Database Topic C: Create a New Table Topic D: Establish Table Relationships Creating Queries Topic A: Create Basic Queries Topic B: Add Calculated Columns in a Query Topic C: Sort and Filter Data in a Query Creating Forms Topic A: Start a New Form Topic B: Enhance a Form Creating Reports Topic A: Start a New Report Topic B: Enhance Report Layout Promoting Quality Data Input Topic A: Restrict Data Input through Field Validation Topic B: Restrict Data Input through Forms and Record Validation Improving Efficiency and Data Integrity Topic A: Data Normalization Topic B: Associate Unrelated Tables Topic C: Enforce Referential Integrity Additional course details: Nexus Humans Microsoft Access for Office 365 (Desktop or Online) - Part 1 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 Microsoft Access for Office 365 (Desktop or Online) - Part 1 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.
Root Cause Analysis (RCA) is used to analyse the root causes of focus events with both positive and negative outcomes, but it is most commonly used for the analysis of failures and incidents. Causes for such events can be varied in nature, including design processes and techniques, organizational characteristics, human aspects and external events. RCA can be used for investigating the causes of non-conformances in quality (and other) management systems as well as for failure analysis, for example in maintenance or equipment testing.
Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool
Advanced Microsoft Excel Training Course on Bookkeeping Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup,etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis