18739 Courses

Duration 2 Days 12 CPD hours This course is intended for This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core Cucumber and web testing skills, coupling the most current, effective techniques with the soundest industry practices. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Learn the request-response cycle of REST requests Implement a REST controller using Spring Map URLs to service endpoints Use Spring's template class to develop a REST client Bootstrap a Spring REST applications Return different media types for a service Setting the response headers Discuss Exceptions and HTTP Status codes Handle exceptions thrown by a service Spring REST focuses on providing an understanding of the fundamental principles and technologies that are used in the development of RESTful services and clients. This understanding is critical to being able to diagnose, troubleshoot, tune, and perform other lifecycle activities.Working with Spring REST is a two-day, fast-paced coding course geared for experienced developers who have prior working knowledge of Java. Throughout the course students learn the best practices for writing Restful services in Java using Spring Boot. The course provides an in-depth view of the APIs provided by Spring to develop both the REST service and the REST client. Implementing REST with Spring REST principles Introduction to RESTful Services in Spring Introduction to REST Clients in Spring Bootstrapping the REST application Content Representation Implementing the REST Service Error Handling Security and RESTful Services Securing Untrusted Input Defending RESTful Services Additional course details: Nexus Humans Working with Spring REST (TT3358) 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 Working with Spring REST (TT3358) 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 intended for students who want to gain knowledge of basic networking components, TCP/IP, and related services Overview Upon successful completion of this course, students will be able to identify different types of networks, understand TCP/IP protocols, subnetting, name resolution, and configuring various related services This course will introduce students to different types of network environments, understand the processes involved with TCP/IP-based networking, and installing and configuring related services such as DHCP, DNS, Active Directory, and VPNs Basic Network Infrastructure Network Architecture Standards Local Area Networking Wide Area Networking Wireless Networking Connecting Network Devices OSI Model Networking Hardware Introduction to TCP/IP History of TCP/IP TCP/IP Terminology TCP/IP Components in Windows Architectural Overview of TCP/IP TCP/IP Protocol Suite Internet Layer Protocols Transport Layer Protocols IP Addressing IPv4 Addressing IPv6 Addressing Subnetting Subnetting for IPv4 Subnetting for IPv6 IP Routing IP Routing Overview IPv4 Routing Dynamic Host Configuration Protocol DHCP Overview How DHCP Works Windows-based DHCP DHCP Relay Agent Host Name Resolution TCP/IP Naming Schemes Name Resolution Process Domain Name System Overview The Domain Name System Name Resolution Name Server Roles Resource Records Zone Transfers Windows Support for DNS Active Directory Fundamentals DNS Server in Windows Active Directory Integration Windows Internet Name Service Introduction to WINS How WINS Works WINS Client and Server Configuration Virtual Private Networking Virtual Private Networking Overview VPN Protocols VPN Server Installation Troubleshooting TCP/IP Basic Steps Windows Troubleshooting Tools Troubleshooting IPv4 Additional course details: Nexus Humans Network Fundamentals and Implementing TCP/IP 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 Network Fundamentals and Implementing TCP/IP 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 for information technology professionals, security professionals, network, system managers and administrators tasked with installing, configuring and maintaining Symantec Data Center Security: Server Advanced. Overview At the completion of the course, you will be able to: Describe the major components of Symantec Data Center Security: Server Advanced and how they communicate. Install the management server, console and agent. Define, manage and create assets, policies, events and configurations. Understand policy creation and editing in depth. course is an introduction to implementing and managing a Symantec Data Center Security: Server Advanced 6.0 deployment. Introduction Course Overview The Classroom Lab Environment Introduction to Security Risks and Risk Security Risks Security Risk Management Managing and Protecting Systems Corporate Security Policies and Security Assessments Host-Based Computer Security Issues SDCS:Server Advanced Overview SDCS: Server Advanced Component Overview Policy Types and Platforms Management Console Overview Agent User Interface Overview DEMO of Management Console Installation and Deployment Planning the Installation Deploying SDCS:SA for High Availability Scalability Installing the Management Server Installing the Management Console Installing a Windows Agent Installing a UNIX Agent LAB: Install Manager and Agents Configuring Assets Asset and Agent Overview Viewing Agents and Assets Managing Agents Managing Agents on Assets LAB: Create Asset Groups LAB: Examine Agent Interface Policy Overview Policies Defined Prevention Policy Overview Process Sets Resource Access Policy Options Detection Policy Overview IDS Capabilities Rules Collectors Policy Management Workspace User Interface on Agent Example Use Cases LAB: Paper Based Scenarios LAB: What type of security strategy should be used? Detailed Prevention Policies Policy Editor Policy Structure Global Policy Options Service Options Program Options Policy Processing Order Network Rules File Rules Registry Rules Process Sets Predefined Policies LAB: Deploy Strict policy LAB: Examine Functionality Advanced Prevention Profiling Applications Customizing Predefined Policies LAB: Modify Policy Previously Deployed LAB: Re-examine Functionality LAB: Preparing for Policy deployment LAB: Best Practice - Covering Basics LAB: Further Enhance Strict Policy LAB: Create Custom Process Set LAB :Secure an FTP Server LAB: Troubleshoot Policy/pset Assignment Using CLI Detection Policies Detection Policies Structure Collectors Rules Predefined Detection Policies Creating a Detection Policy Using the Template Policy LAB: Deploy Baseline Policy LAB: Create Custom Policy Event Management Events Defined Viewing Events Reports and Queries Overview Creating Queries and Reports Creating Alerts LAB: View Monitor Types and Search Events LAB: Create Real Time Monitor Agent Management and Troubleshooting Configurations Defined Creating and Editing Configurations Common Parameters Prevention Settings Detection Settings Analyzing Agent Log Files Diagnostic Policies Local Agent Tool ? sisipsconfig LAB: Create Custom Configurations LAB: Implement Bulk Logging LAB: Disable Prevention on Agent Using CLI LAB: Use Diagnostic Policy to Gather Logs LAB: Troubleshoot a Policy System Management Managing Users and Roles Server Security Viewing and Managing Server Settings Viewing and Managing Database Settings Viewing and Managing Tomcat Settings LAB: Create a New User LAB: View System Settings

Duration 2 Days 12 CPD hours This course is intended for This course is designed for developers who want to learn about Git and GitHub. Overview Upon completion of this course, participants will be able to: ? Install and run Git ? Describe basic concepts of Git version control ? Work on multiple branches ? Optimize merging and fixing merge conflicts ? Create and manage GitHub repositories ? Collaborate using GitHub This hands-on course teaches participants how to integrate Git and GitHub into their daily command-line workflow. Git operations, customizations of Git functionality, and how to connect to Git via Eclipse are covered as well. Introduction Introduction to Version Control Systems The Birth of Git and Why Git? What is GitHub? GitHub Repository Concepts Getting Started With Git Installing and Running Git The Git command Line Configuration Files Creating your First Git Repository Staging Area Git Commit Viewing History Creating Aliases and Shortcuts Hands-on Lab Session Getting Started with GitHub Creating and Configuring a Repository in GitHub Uploading your Repository to GitHub Understand Repository?s Main Page Using the README Hands-on Lab Session File Management in Git Locally The Index File Classifications in Git Rename a File Delete a File Ignore Files using .gitignore File Hands-on Lab Session Collaboration on Pull Requests Cloning and Forking Repositories Creating a Pull Request Collaborating a Pull Request Merging on a Pull Request Working with Branches Hands-on Lab Session Integrating GitHub with Eclipse Introducing EGit Plugin Configuring GitHub in Eclipse Working with Eclipse Hands-on Lab Session Reviewing and Configuring a Project on GitHub Configuring a Repository Adding Collaborators Creating Organizations Managing Teams Introducing Issues Merging, Rebasing and Resolving Conflicts Merging Branches Git diff and Commit Ranges Working with Merge Conflicts Merge Strategies Introduction to Rebasing Rebasing Branches Reverting and Fixing Bad Commits Hands-on Lab Session Additional course details: Nexus Humans Learning Git and GitHub 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 Learning Git and GitHub 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 Consultants, Support, System Administrators Overview Upon completion of the course, students will be able to: Run a business process. Create a business process using the Graphical Process Modeler. Explain how to create a service configuration. Explain how to track an executable business process. Discuss the basics of Sterling B2B Integrator. This course teaches students techniques, tools, and recommended practices that can be used to run a business process, create a business process using the Graphical Process Modeler, explain how to create a service configuration, explain how to track an executable business process, and discuss the basics of Sterling B2B Integrator through a combination of lecture and hands-on labs. About IBM Sterling B2B Integrator High level overview of the Admin Console with an exercise to start the application XML and XPath Basics Review the basics of XML and XPath which is heavily used in the application Basic Business Process Concepts Reviewing what XML and XPath components are used to build business processes Reviewing how to manually execute a business process within the application Tracking and Troubleshooting Business Processes Exercises to demonstrate how to work with business process instances Graphical Process Modeler (GPM) Overview of the Graphical Process Modeler Exercises to walk through the development of a business process in the GPM Exercises for checking in, executing, and modifying business processes Introduction to Service Management Several exercises showcasing specific services/adapters and other functionality Best Practices Covers specific business process development methods that are best practice Mapping Introduction to the Map Editor and Standards Exercises to build and use an XML Encoder Map Typing Map Exercises to build and use a Typing Map Case Study Exercise to build an end-to-end solution using what was learned in previous exercises Tracking System Health Review of archiving, migrating, and deleting business processes Additional course details: Nexus Humans IBM Sterling B2B Integrator Fundamentals 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 IBM Sterling B2B Integrator Fundamentals 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 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 4.125 Days 24.75 CPD hours This course is intended for The job roles best suited to the material in this course are: Personnel responsible for maintaining and improving the quality of the products and services of the organization, Personnel responsible for meeting customer requirements, Consultants, advisors, professionals wishing to obtain in-depth knowledge of ISO 9001 requirements for a QMS, Professionals wishing to acquaint themselves with PECB's IMS2 Methodology for implementing a QMS, Individuals responsible for maintaining the conformity of QMS to ISO 9001 requirements, Members of QMS implementation and operation teams, Individuals aspiring to pursue a career in quality management Overview Explain the fundamental concepts and principles of a quality management system (QMS) based on ISO 9001 Interpret the requirements of ISO 9001 for a QMS from the perspective of an implementer Initiate and plan the implementation of a QMS based on ISO 9001, by utilizing PECB's IMS2 Methodology and other best practices Support an organization in operating, maintaining, and continually improving a QMS based on ISO 9001 Prepare an organization to undergo a third-party certification audit The ISO 9001 aims to help you develop the competence necessary to establish, implement, operate, maintain, and continually improve a QMS. This training course aims to equip you with in-depth knowledge on ISO 9001 requirements, as well as the best practices and approaches used for the implementation and subsequent maintenance of a QMS. Introduction to ISO 9001 and the initiation of a QMS implementation Training course objectives and structure Overview of ISO, management systems, and ISO 9000 family Introduction to quality and QMS based on ISO 9001 Initiation of the QMS implementation Leadership and commitment Quality policy Roles, responsibilities, and authorities Implementation plan of a QMS Context of the organization QMS scope Actions to address risks and opportunities Quality objectives Change management Resources Competence Implementation of a QMS Awareness and communication Management of documented information Requirements for products and services Design and development of products and services Outsourcing Production and service provision Monitoring, measurement, analysis, and evaluation QMS monitoring, continual improvement, and preparation for the certification audit Internal audit Management reviews Nonconformities and corrective actions Continual improvement Preparation for the certification audit Closing of the training course Additional course details: Nexus Humans ISO 9001 Lead Implementer 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 ISO 9001 Lead Implementer 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 does not have any technical knowledge prerequisites for the learners, besides being proficient in using a computer and the Internet. IT and/or AI knowledge is a benefit but not a hard requirement. Given the rapid development of AI and the broad range of its applications in everyday life, it is crucial for anyone to attend this course to update their digital skills in an ever-changing world. It is expected that all learners have registered for a free account of OpenAI ChatGPT at https://chat.openai.com. Overview Discover how AI relates to other 4th industrial revolution technologies Learn about AI, ML, and associated cognitive services Overview of AI development frameworks, tools and services Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail The core aim of this ?AI for beginners? course is to introduce its audience to Artificial Intelligence (AI) and Machine Learning (ML) technologies and allow them to understand the practical applications of AI in their everyday personal and professional life. Moreover, the course aims to provide a handful of demos and hands-on exercises to allow the learners to familiarize themselves with usage scenarios of OpenAI ChatGPT and other Generative AI (GenAI) models. The content of this course has been created primarily by using the OpenAI ChatGPT model. AI theoretical concepts. Introduction to AI, ML, and associated cognitive services (Computer vision, Natural language processing, Speech analysis, Decision making). How AI relates to other 4th industrial revolution technologies (cloud computing, edge computing, internet of things, blockchain, metaverse, robotics, quantum computing). AI model classification by utilizing mind maps and the distinctive role of Gen AI models. Introduction to the OpenAI ChatGPT model and alternative generative AI models. Familiarization with the basics of the ChatGPT interface (https://chat.openai.com). Talking about Responsible AI: Security, privacy, compliance, copyright, legal challenges, and ethical implications. AI practical applications Overview of AI development frameworks, tools and services. AI aggregators review. Hand-picked AI tool demos: a.Workplace productivity and the case of Microsoft 365 Copilot. b.The content creation industry. Create text, code, images, audio and video with Gen AI. c.Redefining the education sector with AI-powered learning. Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail: a.Prompting and plugin demos. b.Code interpreter demos. Closing words. Discussion with an AI model on the future of AI. Additional course details: Nexus Humans AI for beginners 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 AI for beginners 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 2 Days 12 CPD hours This course is intended for This is an Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau's more advanced capabilities. Overview This skills-focused course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, students will learn how to: Understand what data works best with Tableau Desktop and how to shape and clean it appropriately to get Learn how to maximize flexibility from Tableau Desktop. Learn how Tableau Prep folds into the analytic cycle, and when to prep data in Tableau Prep vs. Tableau Desktop. Understand the terminology used in Tableau Prep. Know how Tableau Prep approaches data sampling. Create and understand data prep flows that address common scenarios encountered in data preparation, as applied to common data use cases Know how to view data prepared in Tableau Prep using Tableau Desktop. Understand data exploration and validation in Tableau Prep and Tableau Desktop. Geared for experienced Tableau Users, Tableau Prep Building (Tableau Data Prep) for Experienced Users is a two-day hands-on course designed to provide you with the tools and knowledge of how to prepare and shape data in Tableau Prep. It?s best suited for people who have 3-6 months experience in Tableau Desktop and are somewhat familiar with writing calculations. Throughout the course, our instructors will take you from conceptual data preparation material to creating useful Tableau Prep flows that can be output to Tableau Desktop for analysisNOTE: The Tableau Training Series is independent-format training that can be tuned and adjusted to best meet your needs. Our materials are flexible, comprehensive, and are always instructed by a senior instructor with a deep understanding of Tableau and its most current features, benefits and functionality in a wide array of uses. This is not Official Tableau Training. Course Outline Introduction to the workspace Introduction to the workflow Data literacy concepts Connecting to and configuring data Exploring data Cleaning data Preferred data structures in Tableau Shaping data Combining data Opening a data sample and creating an output file Best practices for data preparation Complex flows Starting with a question Hands-on data preparation Additional course details: Nexus Humans Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) 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 Tableau Prep Building (Tableau Data Prep) for Experienced Users (TTDTAB010) 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.