442 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies. Overview In this course, students will expand their Python proficiencies. Students will: Create object-oriented Python applications. Design and create a GUI. Store data in a database from Python applications. Communicate using client/server network protocols. Manage multiple processes with threading. Implement unit testing. Package an application for distribution. Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages. Usinig Object-Oriented Python Create and Use Classes in an Application Use Magic Methods Incorporate Class Factories Creating a GUI Design a GUI Create and Arrange a GUI Layout Interact with User Events Using Databases Basics of Data Management Use SQLite Databases Manipulate SQL Data Network Programming Basics of Network Programming Create a Client/Server Program Managing Multiple Processes with Threading Create a Threaded Application Manage Thread Resources Implementing Unit Testing Test-Driven Development Write and Run a Unit Test Case Create a Test Suite Packaging an Application for Distribution Create a Package Structure Generate the Package Distribution Files Generate a Windows Executable Additional course details: Nexus Humans Python Programming - Advanced 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 Python Programming - Advanced 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.

This course will encompass seven modules. Each module has a specific focus and the title of each will outline the topics that will be covered in the course and provide you an insight into how the course will function.

This driver CPC course Vehicle Roadworthiness & Load Safety is suitable for LGV drivers only and will cover: Requirements, Walk Around Checks, Legal Requirements, Additional Checks, Safety Equipment, Defect Reporting, Maintenance, Prohibitions, Considerations Before Loading, Overloading, Load Distribution, Load Security, Vehicle Dimensions, Loading Equipment.

This driver CPC course Vehicle Roadworthiness & Load Safety is suitable for LGV drivers only and will cover: Requirements, Walk Around Checks, Legal Requirements, Additional Checks, Safety Equipment, Defect Reporting, Maintenance, Prohibitions, Considerations Before Loading, Overloading, Load Distribution, Load Security, Vehicle Dimensions, Loading Equipment.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

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Duration 3 Days 18 CPD hours This course is intended for Students receive comprehensive Microsoft Dynamics exam preparation, becoming familiarized with the Dynamics CRM customization and configuration tools. Aspirants also learn to leverage the platform tools to create custom objects, automate tasks, modify user interface, and perform other such customizations. Overview Configure the Dynamics CRM settingsConfigure different entities and fieldsImplement entity relationships, custom actions, workflows, and dialogsIdentify scenarios for utilizing multiple forms, and design considerations for chartsSet default share views and public views, and configure and manage dashboardsIdentify role-based business processesIdentify and manage business requirements and teams This course explains everything you need to know about customizing and configuring the Dynamics CRM 365 system in accordance with a company?s specific requirements. Introduction to Customization and Configuring Dynamics CRM Talent and Course Introduction Module Overview CRM Overview What is Dynamics Customization and Configuration? CRM Architecture Customization Methodology Module review Obtaining a Dynamics CRM Trial TEST YOUR KNOWLEDGE MODULE 1' Manage Microsoft Dynamics CRM Online Subscriptions Module Overview Configuring CRM Overview of CRM Security User Administration Mailboxes Teams CRM Security Model Module Overview Purpose of the CCRM Security Model Privileges Access Levels Security Roles Hierarchy Security Hierarchy Types Module review Introduction to Solutions Module Overview Solutions Overview Solution Detail Creating and Working with Solutions Working with Solution Assets Exporting Solutions Importing Solutions Module review Entity and Field Customization Module Overview Types Entities Entity Ownership Entity Properties System vs Custom Entities Custom Entities and Security Roles Overview of Fields Field Properties Module review Additional Field Customization Module Overview Creating Fields to Meet Client Needs Calculated Fields Rollup Fields CRM Option Sets Alternate Keys Field Level Security State and Status Reason Transitions Module Review Configure mobile devices Module Overview Types of Relationships How and where they are created Many to Many Relationships Hierarchical Data Entity Mapping Connection and Connection Roles Module Review Customizing Forms Module Overview Form types Qualities of a good form Building a Form Specialized Form Components Access Teams and Sub Grids Working with Navigation Additional Form Types Multiple Forms Form customizations and Mobile Clients Module Review Business Rules Module Overview Business Rules Business Rule Scope Trigger Rules Condition and Actions Else Conditions and Actions Occur When Conditions Are True Module review Views and Visualizations Module Overview Using Views View Customization System View Types Quick Find Customization Charts Customizing Dashboard Themes Module Review Introduction to Processes Module Overview Processes and Automation Workflow Basics Module review Business Process Flows What are CRM Business Process Flows Enabling Business Process Flows Steps Stages and Categories Conditional Branching Module Review Bringing it all Together Module Overview Review of Customization Topics Covered Senario Packaging in a Solution Module review

Evidence suggests great virtual training can can be dramatically more effective than face-to-face. In fact, the Neuroleadership Institute’s research suggests that a smart virtual learning programme is around 6 times more likely to get people to take actions than an in-person course! Harness that power by building your staff’s skills in these key areas: Understanding the role of training and development Learning theories and styles The thinking environment – active vs passive Methodologies and techniques – why do we do what we do? Setting great aims and objectives Lesson planning and effective timing Activities that give your virtual courses the edge

Duration 1 Days 6 CPD hours Additional course details: Nexus Humans Orientation - Consumer Students 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 Orientation - Consumer Students 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.