3124 Development courses in Cardiff delivered Live Online

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Duration 3 Days 18 CPD hours This course is intended for This class is ideal for integration specialists or Salesforce Administrators who want to learn more about connecting and securing data in Tableau CRM. This course is also great for business analysts or developers interested in creating advanced dashboards. Overview When you complete this course, you will be able to: Determine your user, data, and security requirements, and establish a development process. Set up apps and control what users can do in Tableau CRM by assigning them licenses, permission sets, and app permissions. Load external data to Tableau CRM. Create and run dataflows to load Salesforce data, and join it with data from other datasets. Understand and use Data Sync effectively. Understand Recipes and Data Prep. Understand and implement data security in Tableau CRM, and override security for implementation and testing. Understand how filters on dashboards function and be able to use interactions when necessary. Understand a dashboard's JSON file. Explain the process of dashboard queries and modify a query to meet specific analytic requirements. Modify dataset metadata. Take your Tableau CRM skills to the next level. In this 3-day, expert-led class, you?ll learn how to develop and implement a Tableau CRM environment that contains both Salesforce and non-Salesforce data. Our team of experts will walk you through Tableau CRM features and settings, user setup, how to load and transform data, data security, and how to modify queries to customize dashboards so you can work more efficiently, spot trends, and predict outcomes faster. Discovery and Planning Discovery Meeting Establishing Your Users and Development Process Set Up Users and Apps Overview of User Access on the Tableau CRM Platform Creating Tableau CRM Permission Sets Assigning Licenses and Permission Sets to Users Creating and Sharing Tableau CRM Apps Connect Data Overview of Connecting Data Data Mapping Overview of the Dataflow Process Designing a Dataflow Loading External CSV Data Creating Dataflows Optimizing Dataflows Running, Monitoring, and Scheduling a Dataflow Preparing Datasets with Recipes with Data Prep Data Connectors Additional Transformations Data Security Overview of Security in Tableau CRM Determining Security Requirements Overview of Using Predicate Filters Implementing Ownership-Based Row-Level Security Implementing Role-Based Row-Level Security Implementing Team-Based Row-Level Security Overriding Security for Implementation and Testing Sharing Inheritance Extended Metadata in a Dataset Overview of Extended Metadata (XMD) Updating Field Metadata Adding Quick Action Menus for Records in Tableau CRM Dashboard Templates and Mobile Dashboards Overview of Tableau CRM Dashboard Templates Overview of JSON for Dashboards Building a Dashboard Using a Template Optimizing Dashboards for a Mobile Device Bindings in Dashboards Understanding Filters in Lenses and Dashboards Multi-Dataset Dashboards Filters with Interactions Custom Queries Query Modification Overview of Modifying Queries Maximizing the Use of the Compare Table Salesforce Analytics Query Language (SAQL) SAQL Queries in a Tableau CRM Dashboard Additional course details: Nexus Humans Salesforce Implement and Manage Tableau CRM (ANC301) 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 Implement and Manage Tableau CRM (ANC301) 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 This course is designed for business analysts. Overview After completing this course, you should be able to:Describe the benefits of implementing an Operational Decision Manager solution, and the collaboration that is required between the business and development teamsIdentify the main user roles that are involved in designing and developing an Operational Decision Manager solution, and the tasks that are associated with each roleExplain modeling concepts and the UML notation that is relevant to modeling for business rules and eventsDefine and implement object models for business rulesSet up the rule authoring environment in Designer by working with decision services and synchronizing across development and business environmentsCustomize the vocabulary that is used in rulesDiscover and analyze business rules for implementationUse the Operational Decision Manager rule editors to author business rules and decision tablesRun tests and simulations in the Decision Center Enterprise console to validate decision logic and rule changesExplain governance issues and work with Operational Decision Manager features that support decision governance This course introduces business analysts to IBM Operational Decision Manager V8.7.1. You learn the concepts and skills that are necessary to capture, author, validate, and manage business rules with Operational Decision Manager. Course Outline Course introduction Introducing IBM Operational Decision Manager V8.7.1 Exercise: Operational Decision Manager in action Modeling for business rules Exercise: Building the model on paper Exercise: Implementing the model Understanding decision services Exercise: Setting up a decision service Working with the BOM Exercise: Working with the BOM Introducing Decision Center Exercise: Exploring the Decision Center Business console Exercise: Exploring the Decision Center Enterprise console Introducing rule authoring Exercise: Understanding the case study Discovering and analyzing rules Exercise: Discovering rules Exercise: Analyzing rules Working with conditions in rules Exercise: Working with conditions in rules Working with definitions in rules Exercise: Working with definitions in rules Writing complete rules Exercise: Writing complete rules Authoring decision tables and trees Exercise: Authoring decision tables and trees Exercise: Authoring rules: Putting it all together Running tests and simulations in the Enterprise console Exercise: Running tests and simulations in the Enterprise console Introducing decision governance Exercise: Working with the decision governance framework Course summary

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This comprehensive course covers all Scrum principles and frameworks necessary to help participants understand how to guide a team and manage projects in a fast-paced agile environment. The course is meant for professionals who want to attain the certification of Scrum Master with deep insight into how AI can be utilized in increasing the effectiveness of agile practices. In addition to mastery of the core Scrum methodology, participants will be taken through state-of-the-art advancements in AI and machine learning in order to understand how these technologies can automate routine tasks, enhance decision-making, and continuous improvement. Real-world case studies and hands-on exercises will illustrate how to practically apply AI within Scrum to realize high efficiency and innovation for teams. Whether for enhancing one's career as a Scrum Master or the integration of AI into Agile practices, this course provides that ideal combination of conceptual theory and practical skills, assuring success in today's technology-driven world. Key Highlights: Certified Scrum Master training with AI applications Case studies in the real world about integrating AI in Scrum Hands-on projects to implement AI-driven tools and methodologies Workflow optimization techniques that ensure better collaboration of agile teams, with speeding up project delivery by the power of AI. Ideal for Scrum Masters, Agile Coaches, Product Owners, and tech pros looking to stay ahead.

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

Attracting candidates and matching them to temporary or permanent job positions with client companies.