1698 Mode courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for students who need to learn database design essentials, typically in preparation for, or as a supplement to, a course on SQL such as SQL Querying: Fundamentals and courses on specific relational database platforms. Overview In this course, you will perform steps to design a relational database, including gathering requirements, data modeling, and planning implementation. You will: - Follow an efficient process for designing a relational database - Define the database conceptual model - Define the database logical model - Apply database normalization methods to improve the initial design of a database - Complete the database design, including controls to ensure its referential integrity and data integrity This course introduces you to a process for effectively planning and designing a functional, efficient database. Knowing how to plan a relational database is important to the success of the databases you create. Without planning, you cannot possibly know what the database needs to do, or even what information to include in the database. Planning a database is essential, and prevents the extra work of fixing data maintenance problems later on. The concepts are not specific to a particular software application and can be applied to any relational database management system. Getting Started with Relational Database Design Identify Database Components Identify Common Database Design Problems Follow a Database Design Process Gather Requirements Defining the Database Conceptual Model Create the Conceptual Model Identify Entity Relationships Defining the Database Logical Model Identify Columns Identify Primary Keys Identify and Diagram Relationships Normalizing Data Avoid Common Database Design Errors Comply with Higher Normal Forms Finalizing the Database Design Adapt the Physical Model for Different Systems Ensure Referential Integrity Ensure Data Integrity at the Column Level Ensure Data Integrity at the Table Level Design for the Cloud Additional course details: Nexus Humans Database Design - A Modern Approach 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 Database Design - A Modern Approach 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 1 Days 6 CPD hours This course is intended for This course is designed for students who already have experience creating Modern SharePoint sites and populating them with content, who want to learn advanced features to extend SharePoint's capabilities, make information easier to find and manage, use SharePoint features to improve governance and compliance, and improve the security of information and services within the SharePoint environment. Overview In this course, you will perform advanced site-building and administration tasks. You will: Create a custom site template to reduce the time spent creating similarly configured SharePoint sites. Configure managed metadata, including custom term sets, content types, and metadata-based navigation. Control access through permissions. Improve overall security of sites, lists, libraries, folders, list items, and documents. Microsoft© SharePoint©, in conjunction with the Microsoft 365? productivity and office automation suite, provides tools to create and manage a corporate intranet, facilitate content sharing and collaboration, and enable users to create, access, store, and track documents and data in a central location.Users who already have experience as SharePoint site members and owners may be ready to move on to more advanced site-building tasks such as using custom site templates, custom themes, applying advanced permissions settings, improving security, and preparing sites to support governance and compliance.Advanced site builders may be ready to undertake more advanced site management tasks, working in conjunction with their SharePoint Administrator to create and use custom site templates, term sets and metadata, manage information governance and compliance, and get deeper into SharePoint security configuration.This course focuses on these advanced site-building and administration tasks. Lesson 1: Creating Custom Site Templates Topic A: Prepare a Site Script Topic B: Generate and Use a Custom Site Template Lesson 2: Managing Content Services Topic A: Plan and Configure Managed Metadata Topic B: Create and Manage Content Types Topic C: Use Managed Metadata for Navigation and Filtering Lesson 3: Controlling Access Through Permissions Topic A: Assign Permissions Topic B: Manage Permissions Inheritance Lesson 4: Improving Security Topic A: Manage Access at the Site Level Topic B: Manage Access at the Tenant Level

Build- to- rent involves the construction of purpose- built residential buildings with the intention of renting out the units for the long term, rather than selling the individually. On this webinar, we will introduce the concept of Build-to-rent (BtR) and explore the key features, including design considerations, financial models and management strategies. We will also discuss the benefits of BTR investors, tenants, and communities as well as potential challenges and risk associated with this type of investment.

One of the criticisms levelled at the Real Estate sector is that it has traditionally been a well-connected space, with entry to it dictated by who you know, rather than what you know. With many University degrees in Real Estate teaching theoretical knowledge, how can you articulate this experience on a CV, and obtain greater practical experience with skills like modelling capabilities? In this webinar, Directors at Cobalt Recruitment, Maria Sinclair and Tom Enefer, will go through what new entrants to the Real Estate sector need to have on their CV and the avenues they can take to get more practical experience, including: - How you can communicate your education and modules studied effectively with employers - Tips to make your CV stand out - The industry apprenticeships available - Relevant internships on offer - The university sandwich year placements there are - Courses you can take to get a better understanding of the sector

Duration 3 Days 18 CPD hours This course is intended for Business application consultant Data Consultant / Manager Database Administrator Application developer BI specialist Overview This course will prepare you to: Understand and put into practice the main advanced modeling capabilities of SAP HANA 2.0 SPS04 in the areas of text search and analysis, graph modeling, spatial analysis and predictive modeling. Promote these advanced modeling capabilities to extend the core SAP HANA Modeling features. Broaden your experience with the modern SAP HANA tooling in XS Advanced (SAP Web IDE for SAP HANA) This course provides advanced knowledge and practical experience on several topics that are included in, or connected to, the scope of the modeler role. Its purpose is to take a step further, beyond the core modeling knowledge from HA300, and to demonstrate how applications powered by SAP HANA can benefit from innovations such as Spatial Data Storage and Processing, Text Search and Analysis, Predictive Analysis and Graph Modeling.The course is supported by many demos and exercise, which demonstrate the advanced modeling capabilities in several scenarios. For example, working with classical schemas or HDI containers in XS Advanced, using the SQL console, developing graphical models. Some of the proposed case studies blend together several modeling capabilities, such as text with spatial, or text with graph.An introduction to SAP HANA Series Data is also provided. Introduction to Advanced ModelingSAP HANA Predictive Analysis Library (PAL) Describing SAP HANA PAL Using PAL in Flowgraphs Calling PAL Functions in Calculation Views Calling PAL Procedures in SQL Scripts Exploring the PAL Library SAP HANA Spatial Introducing SAP HANA Spatial Working with Spatial Data Types Importing and Exporting Spatial Data Accessing and Manipulating Spatial Data Using Spatial Clustering SAP HANA Graph Defining SAP HANA Graph Workspace Describing the Different Graph Algorithms Using the Graph Node in Calculation Views Using GraphScript Procedures SAP HANA Text Understanding Full Text Search Understanding Text Analysis Understanding Text Mining SAP HANA Series Data Getting Started with SAP HANA Series Data

Duration 3 Days 18 CPD hours This course is intended for Professionals who want unparalleled creative freedom, productivity, and precision for producing superb 3D modeling. Overview Fundamental concepts and workflows for creating 3D models using AutoCAD, Represent a design by creating solid primitives, solid or surface models from cross-sectional geometry, or composite models from multiple solid models, Complete a solid model design by adding the necessary features to detail, duplicate, and position 3D models, Convert 2D objects to 3D objects, Document a 3D design by creating 2D drawings for production and visualization, Communicate design ideas using visual styles, lights, model walk-through tools, and renderings. In this course, you will learn the fundamental concepts and workflows for creating 3D models using AutoCAD. IntroductionAdvanced Text Objects Annotation Scale Overview Using Fields Controlling the Draw Order Working with Tables Working with Linked Tables Creating Table Styles Projects - Advanced AnnotationDynamic Blocks Working with Dynamic Blocks Creating Dynamic Block Definitions Dynamic Block Authoring Tools Additional Visibility Options Attributes Inserting Blocks with Attributes Editing Attribute Values Defining Attributes Redefining Blocks with Attributes Extracting Attributes Projects - Advanced Blocks & AttributesOutput and Publishing Output For Electronic Review Autodesk Design Review Publishing Drawing Sets Other Tools for Collaboration eTransmit Hyperlinks Cloud Collaboration and 2D Automation Connecting to the Cloud Sharing Drawings in the Cloud Attach Navisworks Files Attach BIM 360 Glue Models Introduction to Sheet Sets Overview of Sheet Sets Creating Sheet Sets Creating Sheets in Sheet Sets Adding Views to Sheets Importing Layouts to Sheet Sets Publishing & Customizing Sheet Sets Transmitting and Archiving Sheet Sets Publishing Sheet Sets Customizing Sheet Sets Custom Blocks for Sheet Sets Projects - Sheet SetsManaging Layers Working in the Layer Properties Manager Creating Layer Filters Setting Layer States CAD Standards CAD Standards Concepts Configuring Standards Checking Standards Layer Translator System Setup Options Dialog Box System Variables Dynamic Input Settings Drawing Utilities Managing Plotters Plot Styles Introduction to Customization Why Customize? Creating a Custom Workspace Customizing the User Interface Using the Customize User Interface (CUI) Dialog Box Customizing the Ribbon Customizing the Quick Access Toolbar Customizing Menus Keyboard Shortcuts Macros & Custom Routines Custom Commands & Macros Running Scripts Action Recorder Editing Action Macros Loading Custom Routines

You can handle the tough stuff with the help of this comprehensive, interactive and thought-provoking course. Our trainers are experienced managers who will guide and support you through the intricacies of people and personal management. The key responsibilities of the manager A manager’s impact on the business and its staff Being a role model Communicating with confidence Questioning skills Managing hybrid teams Assertiveness techniques Managing team performance with ease Giving great feedback Prioritising like a winner Time management techniques Delegating effectively

Designed for professional B2B salespeople to develop a modern approach to winning business

Overview 2 day applied course in modelling Basel IRB parameters and generating IRB Pillar 1 credit risk capital requirement for a mixed retail and corporate loan book Who the course is for Credit risk management, model validators and quants Loan officers / loan portfolio management ALM staff Bank investors – equity and credit investors Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now