289 Courses in Cardiff delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who want to improve their phone skills. Overview Upon successful completion of this course, students will be more confident in handling the phone, resulting in new customers while retaining current clientele. In this course, students will learn about different types of calls and the etiquette associated with them. Getting Started Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan Aspects of Phone Etiquette Phrasing Tone of Voice Speaking Clearly Listen to the Caller Case Study Using Proper Phone Language Please and Thank You Do Not Use Slang Avoid Using the Term ?You? Emphasize What You Can Do, Not What You Can?t Case Study Eliminate Phone Distractions Avoid Eating or Drinking Minimize Multi-Tasking Remove Office Distractions Do Not Let Others Interrupt Case Study Inbound Calls Avoid Long Greeting Messages Introduce Yourself Focus on Their Needs Be Patient Case Study Outbound Calls Be Prepared Identify Yourself and Your Company Give Them the Reason for the Call Keep Caller Information Private Case Study Handling Rude or Angry Callers Stay Calm Listen to the Needs Never Interrupt Identify What You Can Do For Them Handling Interoffice Calls Transferring Calls Placing Callers on Hold Taking Messages End the Conversation Case Study Handling Voicemail Messages Ensure the Voice Mail Has a Proper Greeting Answer Important Messages Right Away Ensure Messages are Delivered to the Right Person When Leaving A Message for Others... Case Study Methods of Training Employees Group Training One-on-One Training Peer Training Job Shadowing Case Study Correcting Poor Telephone Etiquette Screening Calls Employee Evaluations Peer Monitoring Customer Surveys Case Study Wrapping Up Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations

Duration 4 Days 24 CPD hours This course is intended for This course is Intended for students with HTML Experience. Overview At the completion of the course, you will be able to: How PHP works. The basic syntax of PHP. Create dynamic interactive pages with PHP. Manipulate files with PHP. Work with arrays in PHP. Validate forms with PHP. Write functions in PHP. Manipulate and manage database data with PHP. Authenticate users with PHP. Manage sessions with PHP. Work with the MDB2 package. Learn advanced form validation with regular expressions. Send email with PHP. In this PHP training course, students will learn to create database-driven websites using PHP and MySQL or the database of their choice. PHP Basics How PHP Works The php.ini File Basic PHP Syntax Variables First PHP Script PHP Operators Creating Dynamic Pages Passing Variables via the Query String Flow Control Conditional Processing Working with Conditions Loops Working with Loops Arrays Enumerated Arrays Working with Enumerated Arrays Associative Arrays Working with Associative Arrays Two-dimensional Arrays Array Manipulation Functions PHP and HTML Forms HTML Forms Processing Form Input String Manipulation Formatting Strings Working with String Manipulation Functions Magic Quotes Reusing Code and Writing Functions Including Files Adding a Header and Footer User Functions Form Processing Form Validation and Presentation Functions Managing Data Querying a Database Inserting Records Authentication with PHP and SQL A Database-less Login Form Authenticating Users Regular Expressions Perl-compatible Regular Expression Functions Regular Expression Syntax Form Validation Functions with Regular Expressions Session Control and Cookies Sessions Cookies Authentication with Session Control Sending Email with PHP mail() PHPMailer Sending a Password by Email File System Management Opening a File Reading from a File Writing to a File Writing to a File File Locking Uploading Files via an HTML Form Getting File Information More File Functions Directory Functions Creating a Resume Management Page

Duration 2 Days 12 CPD hours Overview Create heightened self-awareness and personal discovery Establish a space of mutual respect by adapting your communication Work with resistance to gain commitment and buy-in Recognize and enhance trust by leading from any position Distinguish among varying attitudes and behaviors to make your teams work as a stronger unit One of DISC?s most intriguing applications is leveraging behavioral identification and adaptability. This workshop will guide you on the path of heightened self-awareness and personal discovery. You can make this your cornerstone seminar, revealing your unique behavioral style blend and how to apply that knowledge prescriptively to others, based on their style blend; thus boosting communication effectiveness. Studies indicate that 92% of workplace conflict is the result of misunderstanding and communication breakdowns. Your entire organization can apply DISC?s prescriptive lessons of behavioral adaptability to reduce employee conflict and turnover, increase productivity, and optimize team performance. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. Understanding The World Of Disc What is DISC? Breaking down the four main styles: Dominant Influencing Steady Conscientious Determining behaviors to read styles: Indirect vs. Direct Open vs. Guarded 2. Building Stronger Self-Awareness Rating your own style Understanding the Platinum Rule Grid Breaking down your profile Natural Style Adapted Style 3. Reading And Adapting To Others? Behaviors Applying the Platinum Rule Identifying characteristics in others Communication strategies with others Adapting your approaches 4. Getting Buy-In From Others Selling yourself to others Getting buy-in from each profile Understanding the cycle of getting buy-in Assessing Solving Confirming agreement Assuring satisfaction 5. Trust-Based Leadership High performance leadership characteristics The key to listening to build trust Motivating strategies with each profile 6. Making Teams Work Understanding how we each make decisions Seeing the power in each style as a role Blending team styles for teamwork Reviewing the team needs to optimize effectiveness

Duration 5 Days 30 CPD hours This course is intended for Managers Project managers Project teams Overview Participants gain an overview of the business processes that can be mapped using SAP for Utilities Customer Relationship and Billing ('CR&B'). The most important customer business processes are introduced briefly using examples. The integration of CR&B with standard SAP components is exemplified. Participants gain an overview of the business processes that can be mapped using SAP for Utilities Customer Relationship and Billing ('CR&B').The most important customer business processes are introduced briefly using examples. The integration of CR&B with standard SAP components is exemplified. Overview CR&B application components Integration of CR&B with standard SAP ERP system Integration of CR&B with standard SAP CRM system Execution of the most important business processes Customer information Customer information with IC Web Client Master data Move-in/out handling Device maintenance Meter reading Billing and invoicing Energy data management Intercompany data exchange Contract accounts receivable and payable Additional course details: Nexus Humans IUT110 Business Processes in SAP for Utilities 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 IUT110 Business Processes in SAP for Utilities 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 The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 Java Fundamentals is designed for tech enthusiasts who are familiar with some programming languages and want a quick introduction to the most important principles of Java. Overview After completing this course, you will be able to: Create and run Java programs Use data types, data structures, and control flow in your code Implement best practices while creating objects Work with constructors and inheritance Understand advanced data structures to organize and store data Employ generics for stronger check-types during compilation Learn to handle exceptions in your code Since its inception, Java has stormed the programming world. Its features and functionalities provide developers with the tools needed to write robust cross-platform applications. Java Fundamentals introduces you to these tools and functionalities that will enable you to create Java programs. The course begins with an introduction to the language, its philosophy, and evolution over time, until the latest release. You'll learn how the javac/java tools work and what Java packages are - the way a Java program is usually organized. Once you are comfortable with this, you'll be introduced to advanced concepts of the language, such as control flow keywords. You'll explore object-oriented programming and the part it plays in making Java what it is. In the concluding lessons, you'll be familiarized with classes, typecasting, and interfaces, and understand the use of data structures, arrays, strings, handling exceptions, and creating generics. Introduction to Java The Java Ecosystem Our First Java Application Packages Variables, Data Types, and Operators Variables and Data Types Integral Data Types Type casting Control Flow Conditional Statements Looping Constructs Object-Oriented Programming Object-Oriented Principles Classes and Objects Constructors The this Keyword Inheritance Overloading Constructor Overloading Polymorphism and Overriding Annotations References OOP in Depth Interfaces Typecasting The Object Class Autoboxing and Unboxing Abstract Classes and Methods Data Structures, Arrays, and Strings Data Structures and Algorithms Strings The Java Collections Framework and Generics Reading Data from Files The Java Collections Framework Generics Collection Advanced Data Structures in Java Implementing a Custom Linked List Implementing Binary Search Tree Enumerations Set and Uniqueness in Set Exception Handling Motivation behind Exceptions Exception Sources Exception Mechanics Best Practices

This course is for kids and young learners who: Have completed Level 2. Know how to read, write and speak basic Greek. Use a variety of expressions while speaking with family and friends. Communicate with native speakers in simple Greek.

Duration 3 Days 18 CPD hours This course is intended for Anyone starting to write SAS programs Overview Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs. Access SAS, Microsoft Excel, and text data. Explore and validate data. Prepare data by subsetting rows and computing new columns. Analyze and report on data. Export data and results to Excel, PDF, and other formats. Use SQL in SAS to query and join tables. This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. Essentials The SAS programming process. Using SAS programming tools. Understanding SAS syntax. Accessing Data Understanding SAS data. Accessing data through libraries. Importing data into SAS. Exploring and Validating Data Exploring data. Filtering rows. Formatting columns. Sorting data and removing duplicates. Preparing Data Reading and filtering data. Computing new columns. Conditional processing. Analyzing and Reporting on Data Enhancing reports with titles, footnotes, and labels. Creating frequency reports. Creating summary statistics reports. Exporting Results Exporting data. Exporting reports. Using SQL in SAS Using Structured Query Language in SAS. Joining tables using SQL in SAS. Additional course details: Nexus Humans SAS Programming 1 - Essentials 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 SAS Programming 1 - Essentials 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 appropriate for developers and administrators who intend to use HBase. Overview Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Introduction to Hadoop & HBase What Is Big Data? Introducing Hadoop Hadoop Components What Is HBase? Why Use HBase? Strengths of HBase HBase in Production Weaknesses of HBase HBase Tables HBase Concepts HBase Table Fundamentals Thinking About Table Design The HBase Shell Creating Tables with the HBase Shell Working with Tables Working with Table Data HBase Architecture Fundamentals HBase Regions HBase Cluster Architecture HBase and HDFS Data Locality HBase Schema Design General Design Considerations Application-Centric Design Designing HBase Row Keys Other HBase Table Features Basic Data Access with the HBase API Options to Access HBase Data Creating and Deleting HBase Tables Retrieving Data with Get Retrieving Data with Scan Inserting and Updating Data Deleting Data More Advanced HBase API Features Filtering Scans Best Practices HBase Coprocessors HBase on the Cluster How HBase Uses HDFS Compactions and Splits HBase Reads & Writes How HBase Writes Data How HBase Reads Data Block Caches for Reading HBase Performance Tuning Column Family Considerations Schema Design Considerations Configuring for Caching Dealing with Time Series and Sequential Data Pre-Splitting Regions HBase Administration and Cluster Management HBase Daemons ZooKeeper Considerations HBase High Availability Using the HBase Balancer Fixing Tables with hbck HBase Security HBase Replication & Backup HBase Replication HBase Backup MapReduce and HBase Clusters Using Hive & Impala with HBase Using Hive and Impala with HBase Appendix A: Accessing Data with Python and Thrift Thrift Usage Working with Tables Getting and Putting Data Scanning Data Deleting Data Counters Filters Appendix B: OpenTSDB

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who desire to become more skilled at handling difficult customers. Overview Upon successful completion of this course, students will be able to deal with difficult customers in a way that increases productivity and customer service, and decreases unhappy customers. In this course, students will gain a valuable skill set to deal with difficult customers in various situations. 1 - GETTING STARTED Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan 2 - THE RIGHT ATTITUDE STARTS WITH YOU Be Grateful Keep Your Body Healthy Focus on Positive Thoughts Invoke Inner Peace Case Study 3 - INTERNAL STRESS MANAGEMENT Irritability Unhappiness with Your Job Feeling Underappreciated Not Well-Rested Case Study 4 - EXTERNAL STRESS MANAGEMENT Office Furniture Not Ergonomically Sound High Noise Volume in the Office Rift with Co-Workers Demanding Supervisor Case Study 5 - TRANSACTIONAL ANALYSIS What is Transactional Analysis? Parent Adult Child Case Study 6 - WHY ARE SOME CUSTOMERS DIFFICULT? They Have Truly Had a Bad Experience and Want to Vent They Have Truly Had a Bad Experience and Want Someone to be Held Accountable They Have Truly Had a Bad Experience and Want Resolution They Are Generally Unhappy Case Study 7 - DEALING WITH THE CUSTOMER OVER THE PHONE Listen to the Customer?s Complaint Build Rapport Do Not Respond with Negative Words or Emotion Offer a Verbal Solution to Customer Case Study 8 - DEALING WITH THE CUSTOMER IN PERSON Listen to the Customer?s Complaint Build Rapport Responding with Positive Words and Body Language Besides Words, What to Look For? Case Study 9 - SENSITIVITY IN DEALING WITH CUSTOMERS Who are Angry Who Are Rude With Different Cultural Values Who Cannot Be Satisfied Case Study 10 - SCENARIOS OF DEALING WITH A DIFFICULT CUSTOMER Angry Customer Rude Customer Culturally Diverse Customer Impossible to Please Customer Case Study 11 - CUSTOMER ONCE YOU HAVE ADDRESSED THEIR COMPLAINT Call the Customer Send the Customer an Email Mail the Customer a Small Token Handwritten or Typed Letter Case Study 12 - WRAPPING UP Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations