210 Courses in Cardiff delivered Live Online

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, Data Consultants/Managers, and Solution Architects. Overview Students will set up and deliver their own master data from SAP ERP to SAP SCM (APO), and make any necessary master data enhancements to ensure proper planning results in APO.Students will complete the modeling of their supply chain by creating APO master data that is necessary to activate a fully functional Supply Chain in APO. In this course, students learn how to set up and configure the standard interface between the SAP ERP system and SAP SCM with focus on SAP APO. Integration for Supply Chain Modeling Integrating SAP ERP and SAP SCM Configuring an Integration Model Using Monitoring and Error-Processing Tools Setting Up Incremental Data Transfers for Master Data Changes Organizing Integration Models Performing Routine Operations with Background Processing Supply Chain Locations Managing Locations Integrating Plant Data Integrating MRP Areas Managing Transportation Zones Integrating Customers as Locations Integrating Vendors as Locations Integrating Factory Calendars and Time Streams Supply Chain Products Integrating Products Maintaining Product Data External Procurements Relationships Integrating Purchasing Information Records Integrating Scheduling Agreements Network Modeling Creating Means of Transportation Creating Transportation Lanes Supply Chain Resources Integrating Production Resources Creating Supply Chain Management (SCM)-Specific Resources Integrating Capacity Variants Integrating Setup Groups and Matrices Manufacturing Process Modeling Preparing Integration of Master Data Mapping Bill of Materials (BOM) Fields Mapping the Routings Fields Integrating Production Master Data Transferring a Master Recipe to a Production Process Model (PPM) Transferring Characteristics and Classes Quota Arrangement Creating Quota Arrangements Supply Chain Modeling Creating an SAP liveCache Model Creating a Version in SAP SCM Using the Supply Chain Engineer (SCE) Transactional Data Integration Integrating Transactional Data Supply Chain Subcontracting Preparing Master Data for Subcontracting

Logistics Management at QLS Level 5 Course Overview The "Logistics Management at QLS Level 5" course offers an in-depth exploration of the logistics industry, focusing on key aspects such as supply chain management, transport planning, and inventory control. Learners will gain a solid understanding of how logistics fits within the broader business context and its impact on organisational efficiency. The course is designed to provide both theoretical knowledge and strategic insights, ensuring that learners are equipped to optimise logistics processes in a variety of settings. Upon completion, learners will have the tools to contribute effectively to logistics and supply chain roles within diverse industries. Course Description This course delves into the complexities of logistics management, covering essential topics such as sourcing, purchasing, and procurement, as well as supplier relationship management. Students will also explore transport management, warehousing principles, and inventory planning, with a strong focus on enhancing operational efficiency. By addressing both the tactical and strategic components of logistics, learners will develop essential skills in negotiation, customer service, and distribution channels. The course is structured to provide a comprehensive understanding of logistics management within the context of modern business operations, preparing learners for roles that demand expertise in managing logistics and supply chain systems. Logistics Management at QLS Level 5 Curriculum Module 01: Introduction to Logistic Management Module 02: Planning Framework for Logistics Module 03: Supply Chain Management Module 04: Logistics Management and Organisation Module 05: Sourcing, Purchasing, and Procurement Module 06: Channels of Distribution Module 07: Supplier Relationship Management Module 08: Inventory Planning and Management Module 09: Principles of Warehousing Module 10: Transport Management Module 11: Negotiation Techniques Module 12: Customer Service and Logistics (See full curriculum) Who is this course for? Individuals seeking to advance in logistics or supply chain management. Professionals aiming to enhance their expertise in operational efficiency. Beginners with an interest in logistics and supply chain management. Those aspiring to take on leadership roles in logistics or procurement. Career Path Logistics Manager Supply Chain Coordinator Transport Planner Warehouse Operations Supervisor Procurement Manager Distribution Manager Inventory Control Specialist

Duration 3 Days 18 CPD hours This course is intended for Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Master and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match and Client Insight features Learn how to perform network monitoring functions and troubleshooting This course teaches the knowledge, skills and practical experience required to set up and configure a basic Aruba WLAN utilizing the OS 8.X architecture and features. Using lecture and labs, this course provides the technical understanding and hands-on experience of configuring a single Mobility Master with one controller and AP Aruba WLAN. Participants will learn how to use Aruba hardware and ArubaOS to install and build a complete, secure controller network with multiple SSIDs. This course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Associate (ACMA) certification exam. WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Master Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join MC with MM Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Master GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores OS 8.X Airmatch to calibrate the network How Client Match and ClientInsight match steers clients to better APs Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the MM dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of Airwaves capabilities for monitoring and diagnosing client, WLAN and AP issues Additional course details: Nexus Humans Aruba Mobility Fundamentals, Rev. 20.11 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 Aruba Mobility Fundamentals, Rev. 20.11 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, students become familiar with logistics invoice verification as the final stage in the external procurement process. Students also learn how to enter invoices relating to purchase orders, block them, and release them for payment. Course Outline Introduction to invoice verification Invoice entry and parking Taxes, cash discounts, and foreign currency Invoices for purchase orders with account assignment Variances with and without reference to an item, invoice blocking reasons Invoice reduction, releasing blocked invoices Delivery costs Subsequent debits and credits Credit memos and cancellations Invoice verification in the background Automated processing GR/IR clearing account maintenance Customizing for invoice verification

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 4 Days 24 CPD hours This course is intended for Application consultants, Business Process Owners, Project Managers, and Users Overview This course will prepare you to:Navigate in SAP S/4HANA using the SAP Fiori LaunchpadMaintain master data for sales processesExecute sales processesDescribe features that are relevant during the process (e.g. availability check)Handle customer complaintsUtilize reporting functions in sales In this course, students will learn about the functions in sales processing in SAP S/4HANA. Course Outline Navigation with SAP Fiori Enterprise Structures S/4HANA Sales Overview of Sales Processes Master Data Automatic Data Determination and Scheduling Data Determination Transportation Scheduling Availability Check Collective Processing Additional Processes in Sales Complaints Processing Monitoring and Sales Analytics Additional course details: Nexus Humans S4600 SAP Business Processes in SAP S/4HANA Sales 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 S4600 SAP Business Processes in SAP S/4HANA Sales 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 5 Days 30 CPD hours This course is intended for DevelopersConsultants Overview Explore SAP Gateway architecture and deployment optionsPerform OData queries and operations with SAP GatewayDefine data model and implement CRUD operationsExtend SAP Gateway services and build new ones with CDS ViewsConfigure routing, multiple origin, and SAP Workflow supportImplement advanced OData operations and introduce OData V4Handle security and consume OData services using SAP Web IDE Students will explore SAP Gateway architecture and deployment options. SAP Gateway Overview SAP Gateway Architecture SAP Gateway Deployment Options OData Overview OData and REST OData Operations OData Queries Consuming OData using SAP Web IDE SAP Gateway Service Implementation Defining a Data Model Implementing Read Operations Implementing Navigation Implementing Query Options Implementing Change Operations SAP Gateway Service Generation RFC/BOR Generator Search Help Generator SAP Gateway Service Redefinition Redefining a Data Service Redefining a Gateway Service SAP Gateway and CDS Views SAP Fiori Programming Model CDS/SADL Generator Data Source Reference CDS View Annotations SAP Gateway Hub Functionalities Multiple Back-End Systems Support Configuring Routing Capabilities Multiple Origin Composition SAP Workflow Support Advanced OData Options Implementing Function Imports Implementing Expand Operations Implementing Deep Insert Operations Handling ETags Batch Requests Media Links Offline Support Server Side Caching SAP Gateway Security Authentication Data Security SAP Gateway OData V4 Support OData V4 Implementation OData V4 Publishing

Video Marketing Strategy Course Overview This course on Video Marketing Strategy provides a comprehensive guide to leveraging video content to enhance marketing efforts. It covers the key principles of video marketing, including content creation, distribution channels, and performance analysis. Learners will explore how to effectively use video to engage audiences, boost brand awareness, and drive conversions. By the end of this course, learners will be equipped with the knowledge to design and implement a video marketing strategy that aligns with business goals and meets consumer expectations. Course Description In this course, learners will delve into the fundamentals of video marketing, examining key strategies for creating compelling video content and distributing it across various platforms. Topics include audience targeting, the role of storytelling, video SEO, and measuring the effectiveness of video campaigns. Throughout the course, learners will gain insight into industry best practices and emerging trends in video marketing. By the end, participants will be well-prepared to craft video marketing strategies that capture attention and generate meaningful results in today's digital landscape. Video Marketing Strategy Curriculum Module 01: Introduction to Video Marketing Module 02: Developing a Video Marketing Strategy Module 03: Content Creation for Video Marketing Module 04: Video Distribution Channels Module 05: Measuring Video Marketing Performance Module 06: Advanced Video Marketing Techniques (See full curriculum) Who is this course for? Individuals seeking to boost their marketing skills with video content. Professionals aiming to enhance their digital marketing strategies. Beginners with an interest in video content creation and marketing. Marketing and communications teams looking to expand their digital presence. Career Path Video Content Creator Digital Marketing Specialist Social Media Manager Content Marketing Strategist Brand Manager

Duration 2 Days 12 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Developer Enterprise Architect Solution Architect Trainer Overview This course will prepare you to: Understand the basic concepts of SAP data warehousing Position the value-added of SAP Data Warehouse Cloud Integrate on-premise SAP Sources Model in SAP Data Warehouse Cloud Consume Data in SAP Analytics Cloud This course will prepare you to:Understand the basic concepts of SAP data warehousingPosition the value-added of SAP Data Warehouse CloudIntegrate on-premise SAP SourcesModel in SAP Data Warehouse CloudConsume Data in SAP Analytics Cloud Course Outline Getting started with data warehousing and the training environment Short introduction in SAP BW Bridge and other sources SAP Data Warehouse Cloud: -Introducing SAP Data Warehouse Cloud -Describing Spaces, integration options, operations and best practices -Introducing modeling in the Data Builder -Introducing modeling the Business Layer Describing consumption options in SAP Analytics Cloud Additional aspects in SAP Data Warehouse Cloud Outlook and roadmap Additional course details: Nexus Humans DSP01 SAP Introduction to SAP Data Warehouse Cloud 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 DSP01 SAP Introduction to SAP Data Warehouse Cloud 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.

Customer Service Diploma Course Overview This Customer Service Diploma course provides learners with the essential skills and knowledge to excel in a customer-facing role. Covering key aspects such as customer service strategies, effective communication, and problem-solving, this course prepares individuals for a range of situations they may encounter in the customer service industry. With a focus on both interpersonal and digital communication skills, learners will gain the tools to enhance customer satisfaction and contribute to business success. By the end of the course, participants will be equipped to handle customer inquiries, complaints, and communication across various platforms effectively. Course Description The Customer Service Diploma course delves into essential aspects of customer service, including communication strategies, complaint management, and stress resilience. Learners will explore various communication channels such as telephone, email, and graphic communication, developing the ability to adapt their approach depending on the situation. Additionally, the course focuses on establishing goals, managing energy distribution, and tailoring communication styles to improve personal effectiveness. By studying these topics, participants will gain valuable skills that will empower them to thrive in customer service roles and improve both individual and organisational performance. Customer Service Diploma Curriculum Module 01: Understanding Customer Service Module 02: Focusing on the Customer Module 03: Customer Service and the Telephone Module 04: Handling Complaints Module 05: Enduring Stress Module 06: Business Communication Module 07: Verbal and Non-verbal Communication Module 08: Written Communication Module 09: Electronic Communication Module 10: Communicating with Graphics Module 11: Effectively Working for Your Boss Module 12: Identifying Goals Module 13: Effective Energy Distribution Module 14: Working with Your Personal Style Module 15: Building Your Toolbox Module 16: Establishing Your Action Plan (See full curriculum) Who is this course for? Individuals seeking to enhance their customer service skills. Professionals aiming to improve their communication and problem-solving abilities. Beginners with an interest in customer service or client relations. Those looking to pursue a career in client-facing roles across various industries. Career Path Customer Service Representative Call Centre Agent Front Desk Officer Client Relations Executive Customer Support Manager Sales Support Specialist Business Communication Specialist