9981 Business courses in Cardiff delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards

Calling all aspiring screenwriters and creative minds! Join us for an exciting script pitching workshop led by tutor Gemma Mushington. This taster session is designed to unleash your imagination and guide you through the process of coming up with and pitching an original script idea. Gemma Mushington, a talented screenwriter with a BA in Film, Television, and Digital Production, brings her wealth of industry knowledge and experience to this workshop. She is signed with Casarotto Ramsay and was the proud winner of the Neal Street Productions Screenwriting Bursary in 2021. Gemma's impressive credentials also include writing an episode of CBBC's The Dumping Ground, which aired in May 2023. With her current role as our Module Leader for the Major Feature Film module on the BA Screenwriting course, Gemma is the perfect guide to help you develop your script ideas. During this engaging taster session, Gemma will lead you through an exercise focused on generating and refining your own original script idea. Learn the techniques and strategies used by professional screenwriters to create compelling narratives that captivate audiences. Gain valuable insights into the art of pitching as Gemma shares her expertise on how to effectively communicate your ideas and grab the attention of industry professionals. Whether you are a screenwriting student, a budding storyteller, or simply someone with a passion for creative writing, this workshop is a fantastic opportunity to explore the exciting world of script development. No prior experience is necessary, as Gemma will provide guidance and support throughout the session. Don't miss out on this chance to refine your scriptwriting skills and pitch your ideas with confidence. Reserve your spot now and prepare to unleash your creative potential with the guidance of tutor Gemma Mushington!

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 5 Days 30 CPD hours This course is intended for This course is intended for application developers, business analysts, project managers and anyone who needs an introduction to application development in the IBM TRIRIGA Application Platform. Overview After completing this course you should be able to: Perform moderate-level IBM TRIRIGA application customizations by using the Platform Create and modify business objects by using the Data Modeler Create and modify user interfaces by using the Form Builder tool Define lists and classifications Import data by using the Data Integrator Implement business logic with workflows Create reports and queries by using the Report Manager and the IBM TRIRIGA Reporting Dashboard The course provides an introduction to the TRIRIGA Application platform and how to modify the existing TRIRIGA applications and processes or create new ones. The course covers navigation and mechanics of the TRIRIGA Application Platform toolset that is used for creating and modifying objects. Students are also provided background on importing data to TRIRIGA, how to use the Form Builder and the Reporting Dashboard. Course Outline Perform moderate-level IBM TRIRIGA application customizations by using the Platform Create and modify business objects by using the Data Modeler Create and modify user interfaces by using the Form Builder tool Define lists and classifications Import data by using the Data Integrator Implement business logic with workflows Create reports and queries by using the Report Manager and the IBM TRIRIGA Reporting Dashboard Additional course details: Nexus Humans 8D612 IBM TRIRIGA Application Platform v3.7 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 8D612 IBM TRIRIGA Application Platform v3.7 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 all levels of experience in using Microsoft Project, as well as all levels of experience in project management. In particular, this course is designed for persons who need to author Microsoft Project work schedules including Project Managers and Project Assistants. Overview To be properly introduced, or reintroduced, to Microsoft Project. To gain an understanding of a proven mindset Microsoft Project users should possess each time they open and work Microsoft Project schedules. To gain an understanding of globally accepted project management principles. To be able to effectively apply Microsoft Project into the Initiation and Planning phases of a normal project life cycle. MS Project: Project Initiation and Planning (part 1 of a 3 part series) course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects. MS Project: Project Initiation and Planning (part 1 of a 3 part series) course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects.

Duration 5 Days 30 CPD hours This course is intended for This advanced course is for: AIX technical support personnel Performance benchmarking personnel AIX system administrators Overview Define performance terminology Describe the methodology for tuning a system Identify the set of basic AIX tools to monitor, analyze, and tune a system Use AIX tools to determine common bottlenecks in the Central Processing Unit (CPU), Virtual Memory Manager (VMM), Logical Volume Manager (LVM), internal disk Input/Output (I/O), and network subsystems Use AIX tools to demonstrate techniques to tune the subsystems In this course, students will develop the skills to measure, analyze, and tune common performance issues on IBM Power Systems running AIX. Day 1 Performance analysis and tuning overview Data collection Monitoring, analyzing, and tuning CPU usage Day 2 Virtual memory performance monitoring and tuning Day 3 Physical and logical volume performance File system performance monitoring and tuning Day 4 File system performance monitoring and tuning Network performance Day 5 NFS performance Performance management methodology

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.

session will take you from zero knowledge expectation to a through understanding of everything from Equity and ECM through to Derivatives and the syndicate desk.

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. Workshop Application Use Cases Oz Metropolitan Architectural questions Team activity: Analyze Metroz Application Use Cases Application Vertical Slice Definition Minimizing risk of an unsound architecture Selecting a vertical slice Team activity: Identify an initial vertical slice for Metroz Application Processing Real time, near real time processing Batch processing Data access patterns Delivery and processing guarantees Machine Learning pipelines Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines Application Data Three V?s of Big Data Data Lifecycle Data Formats Transforming Data Team activity: Metroz Data Requirements Scalable Applications Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz Fault Tolerant Distributed Systems Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements Security and Privacy Principles Privacy Threats Technologies Team activity: identify threats and security mechanisms in Metroz Deployment Cluster sizing and evolution On-premise vs. Cloud Edge computing Team activity: select deployment for Metroz Technology Selection HDFS HBase Kudu Relational Database Management Systems Map Reduce Spark, including streaming, SparkSQL and SparkML Hive Impala Cloudera Search Data Sets and Formats Team activity: technologies relevant to Metroz Software Architecture Architecture artifacts One platform or multiple, lambda architecture Team activity: produce high level architecture, selected technologies, revisit vertical slice Vertical Slice demonstration Additional course details: Nexus Humans Big Data Architecture Workshop 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 Big Data Architecture Workshop 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.

Encourage people to think about how they can improve their performance through asking questions and coaching effectively. Course overview Duration: 1 day (6.5 hours) This workshop is suitable for anyone who is in a first line manager position looking to develop their coaching skills. The focus of the workshop is on understanding how coaching supports other management techniques, how it develops people and their performance, and how best to use coaching with your team. Objectives By the end of the course you will be able to: Define what coaching is and how it differs from and complements other management techniques State the benefits that coaching has for team members, managers and the business Use the key skills of coaching Implement strategies to deal with resistance to coaching Give feedback effectively while coaching Practice your coaching skills with real-life situations ContentWhat is Coaching How does coaching differ from mentoring, training, counselling? Giving advice vs coaching – The Power of 3 How does coaching support performance? Coaching as a leadership style Benefits of Coaching What are the benefits of taking a coaching approach for Team membersManagersThe wider organisation Key Skills How to build rapport for a positive coaching relationship Effective listening – understanding and practising the different levels involved in active listening Smart questioning The power of observation – reflecting back what isn’t being said Practical application throughout The GROW model for Coaching Understanding how to use the GROW model Types of questions to use at each stage Demonstration and practice Resistance for Coaching and Strategies Why might people be resistant to coaching? The role of “experts”, self-talk and self-concept in our thinking Expanding comfort zones Contracting and ethics Feedback/Directive Coaching Directive vs Non-Directive Coaching How and when to give feedback when coaching A feedback model Practice Action Planning