260 Evaluation courses delivered Live Online

This very practical one-day programme provides participants with the skills and knowledge required to be an effective member of the procurement team and to enable them to procure a wide range of resources for the organisation, in a compliant and cost-effective manner. It also empowers them to be able to collaborate with all key stakeholders. By the end of the programme participants will be able to: Understand the basic concepts of good procurement practice Apply a range of tools and techniques for developing scopes of work and specifications Apply various methods to select and evaluate suppliers Develop robust contract award strategies Appreciate the commercial importance of effective procurement and opportunities to reduce cost and add value Develop appropriate procurement strategies depending on risk and value Appreciate the legal aspects of procurement 1 Welcome Introductions Aims and objectives Plan for the day 2 The basics of procurement The concept of total cost of ownership v price The procurement cycle The roles of the customer and the contractor Impact upon profit 3 Specification process Importance of effective specifications Specification development process Types of specification Team approach Use of performance specifications Early supplier involvement (ESI) / early contractor involvement (ECI) 4 Quality Concepts and practices Defining 'fit for purpose' Conformance to requirements Compliance to standards Role of the supplier Quality assurance tools and techniques 5 Procurement methods RFP RFQ ITT Negotiated procurement Strategic partnerships Outsourcing 6 Tendering How to undertake a formal tendering process Business case to award Critical stages in the process Risks and benefits 7 Tender evaluation How to undertake a quotation analysis Tools of analysis Use of VFM models Role of the customer Comparisons around cost, quality, and delivery 8 Supplier selection and evaluation Developing critical selection criteria Using the 10Cs model Importance of effective selection process Weighting systems Importance of validity and evidence 9 Capital equipment procurement Life cycle cost issues Payback calculations Compatibility issues Maintenance and training issues After-sales support 10 Supplier relationships Corporate social responsibility issues Communication 360 feed-back Open and ethical Initial understanding Clear and fair terms and conditions 11 Close Review of key learning points Personal action planning

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 & consultants In this course, participants will become familiar with the functions of transportation and shipment cost processing, and with the required customizing settings. Course Outline Basics of transportation processing Transportation control Transportation planning and processing Transportation monitoring and evaluation Basics of shipment cost processing Shipment cost calculation Shipment cost settlement Shipping costs within the sales process Connecting express delivery companies

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. In this course, students become familiar with options for optimizing and simplifying purchasing processes and their prerequisites. Students will also learn about additional, special functions and customizing settings. Purchasing Master Data Creating Material Master Records for Purchasing Creating Vendor Master Records for Purchasing Using Partner Functions in Purchasing Sources of Supply and Conditions Analyzing Price Determination Basics Creating Purchasing Info Records Creating Special Info Records Using Special Functions in Info Records Creating Central Contracts Creating Contracts for Material Groups Creating Scheduling Agreements Without Release Documentation Creating Scheduling Agreements with Release Documentation Source Determination Controlling Source Determination with Source Lists Maintaining Source Lists Controlling Source Determination with Quota Arrangements Executing the Planning Run with Quota Arrangements Identifying Additional Aspects of Source Determination Blocking Sources of Supply Creating Purchase Orders with Source Determination Optimized Purchasing Processing Unassigned Purchase Requisitions Processing Assigned Purchase Requisitions Monitoring Purchase Orders Assessing the Buyer Role Document Release Procedure Releasing Purchasing Documents Converting Released Purchase Requisitions Configuring Release Procedures in Customizing Creating Release Procedures Specific Procurement Processes Creating Invoices Using Invoice Plans Creating Blanket Purchase Orders Deploying Subcontracting Purchasing with Manufacturer Part Numbers Deploying Additional Special Procurement Processes Vendor Evaluation Evaluating Vendors Setting Up Vendor Evaluation Purchasing Document Types Customizing Document Types in Purchasing Setting Up Field Selection in Purchasing Documents Deploying Version Management in Purchasing Analyzing Special Aspects in Customizing Defining Function Authorizations for Buyers Integrated Procurement Scenarios Purchasing with SRM and Catalogs Integrating SAP Components Additional course details: Nexus Humans SCM520 SAP Purchasing 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 SCM520 SAP Purchasing 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.

A unique CPD accredited course delivered online - exploring domestic violence and abuse and coercive control - utilising lived experience and dynamic original theatre to help you make sure your first response is the right response

Give staff the basic skills to understand how and what to train, and to use learner-centred techniques to boost the effectiveness and impact of their training courses.

Why Learn Vectorworks Basics to Essentials Training Course? Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and teach Plans, sections and elevations. Course Link Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking hours of your choice, available from Mon to Sat between 9 am and 7 pm. Vectorworks Basics to Essentials Training Course Discover and Enhance Your Design Skills Our Vectorworks training is meticulously crafted to educate and inspire designers of all levels. Whether you're a beginner or an experienced designer, our courses will equip you with new skills, refine your workflows, and unlock the full potential of your Vectorworks software. Online Training Options Customized Online Sessions: Tailored training sessions for your specific needs and expertise level. Virtual Classroom: Join interactive virtual classes from the comfort of your office. Getting Started Guides: Comprehensive guides to help you navigate the fundamentals of Vectorworks. In-Person Training Opportunities Customized On-Site Sessions: Hands-on training delivered directly to your office or regional event. One to One: Engage in interactive learning at our training locations. Get Vectorworks https://www.vectorworks.net › downloads › ServicePack Vectorworks, Inc. 2D 3D CAD BIM software for Mac or Windows allows designers to transform the world. Project sharing makes it easy. Download or try today. Module 1: Grasping CAD and Vectorworks Understanding the Role of CAD in Design Getting Acquainted with Vectorworks Software Module 2: Configuring Your Workspace Customizing Your Workspace Essential Options and Preferences Module 3: Mastering Foundational Drawing Skills Techniques for Drawing Object Selection Methods Module 4: Advanced Object Manipulation Merging Shapes Reflecting Objects Rotating Objects Grouping Elements Module 5: Precision Drawing and Scaling Techniques Working with Scale Setting Preferences for Accuracy Creating and Saving Templates Module 6: Achieving Accurate Object Placement Ensuring Drawing Precision Precise Object Movement Module 7: Advanced Editing Methods Utilizing Fillet Tool Applying Offset Function Module 8: Understanding Object Attributes and Groups Basic Attribute Management Editing Object Groups Module 9: Object Duplication Techniques Linear Duplicates Rectangular Duplicates Circular Duplicates Module 10: Crafting Room Plans Designing Walls Incorporating Windows and Doors Module 11: Development of Room Plans Methods for Room Plan Drawing Module 12: Exploring Additional Attributes Hatch Patterns Gradients Image Fills Module 13: Creating Elevation Drawings Elevation Drawing Techniques Effective Approaches Module 14: Importing Images for Graphic Use Graphic Illustration Integrating Images Module 15: Symbols and Resource Handling Symbol Creation Introduction to Resource Browser Module 16: Organizing Drawings Using Design Layers Optimizing Design Layer Utilization Module 17: Labeling Drawings and Title Blocks Drawing Labels Title Block Text Placement Module 18: Plotting and Printing Methods User Interface Navigation and Terminology Printing Approaches Module 19: Generating Drawing Sheets A1, A2, and A3 Sheet Formats Module 20: Utilizing Viewports Effectively Managing Multiple Views Module 21: Professional Model Presentation Techniques Paper Space Presentation Conversion to PDF Formats Module 22: File and Project Management Module 23: Object Display and Terminology Module 24: Objects and Data Management Module 25: Precise Object Placement Object Snapping Quick Selection Module 26: Dividing and Measuring Objects Module 27: Dimensioning and Annotations Module 28: Working with Text Elements Module 29: Customizing Tool Palettes Module 30: Organizing Tool Palettes Module 31: Efficient Tool Palette Usage Module 32: Standard Views and Drawing Techniques Module 33: Drawing Curved Shapes Arcs, Donuts, and Ellipses Drawing Module 34: Real-World Units and Measurements Module 35: Object Manipulation Adjusting Object Angles Module 36: File Handling and Management Saving, Exiting, and Opening Projects Module 37: Creating Mirrored Images Module 38: Introduction to 3D Modeling Creating Extrusions Basic 3D Concepts Understanding For a free 30-day trial of Vectorworks, request an evaluation serial number at the provided link. https://www.vectorworks.net/trial Learning Outcomes of the Vectorworks Basics to Essentials Training Course: Proficiency in Vectorworks software, mastering its basic and essential features. Enhanced design skills and efficient workflows for architectural, landscape, and entertainment projects. Customized training based on individual needs and expertise levels. Flexibility with online and on-site options for convenient learning. Access to Vectorworks University with a wealth of resources for continuous learning. Interactive virtual classrooms and immersive hands-on training for practical experience.

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 course is most suited for IT professionals who have a need to understand the current requirements and core competences for managing IT in mission-critical environments. Overview After completion of the course the participant will be able to: 1. Provide guidance and implementation for IT strategy as set by senior IT and business management 2. Select and manage staff, implement training programs, career plan development and job rotation programs 3. Select, evaluate and negotiate vendors using RFI, RFP and selection criteria 4. Provide guidance for developing, testing and implementing business applications 5. Manage and/or assist in IT project management 6. Design and implement service management processes for incident, problem and change management 7. Understand the need for business continuity and design the business continuity plan 8. Review and implement information security practices and controls 9. Assist and initiate risk management practices 10. Understand and select new technologies such as cloud computing, big data, Internet of Things and social media to support business change demands 11. Select strategies for information management 12. Measure and improve quality of IT services CITS is designed to teach the skills, knowledge and competencies required of the modern IT specialist working at the senior professional, team-leader, supervisor or management level in IT management. IT Strategy The need for Information Technology Enterprise architecture Service catalogue Service level management Sustainable development IT Organisation Personnel need Roles and responsibilities Sourcing Selection process Hiring staff Managing staff Career planning Training / job rotation Performance appraisal Staff departures Vendor Selection / Management The importance of vendors Vendor selection Request For Information (RFI) Request For Proposal (RFP) Proposal evaluation Vendor reference checks Contract negotiation Contract management Vendor management Re-compete vendors Project Management Methodologies Project organisation Starting up / initiating Planning / initiation a project Risk Quality Scope Work / Product Breakdown Structure PERT diagram / Gantt chart Cost Communication Application Management Software Development Life Cycle (SDLC) Software Quality Assurance (SQA) Requirements Development Testing Adoption (implementation) Maintenance Service Management Incident management Problem management Change management Business Continuity Management Standards and guidelines Objectives Context Interested parties Scope Roles and responsibilities Resources and competences Awareness and communication Documentation Business Impact Analysis Risk Management Guidelines Context establishment Identification Analysis Evaluation Treatment Communication Monitoring and control Information Security Management Standards Confidentiality Integrity Availability Controls types Guideline for controls selection Control categories Information security awareness Security incident response Information and Knowledge Management Information management Data management Information management - technologies Business intelligence Data management - technologies Best practices in data governance Pitfalls in data governance Business Change Management Business change Frameworks, models and techniques Needs identification Cloud computing Social media / digital marketing Big data Internet of Things (IoT) Quality Management Standards, guidelines and frameworks Objectives Activities Services review Customer feedback Customer survey Key Performance Indicators (KPI) Metrics Scorecards and reports Quality register Exam Actual course outline may vary depending on offering center. Contact your sales representative for more information.

This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment