67 Courses in Cardiff delivered Live Online

Budgeting is more than mere vague oversight. Budgeting should deliver the corporate strategy, add shareholder value and lead to a well-run business - for the benefit of all involved in it. Effective budgeting leads to real control - effective day-to-day operational control and more. This course demonstrates what proper budgeting and operational control can do. This course will help ensure that participants: Appreciate the importance of the budgeting process Take ownership of it Use it as a daily working tool - not an annual exercise - to help run their part of the operation Improve their reporting against budget Ensure their delivery against budget 1 Objectives of budgets The budget process Stages - what is the prime aim of a budget? What is forecasting? ObjectivesPlanningImplementation 2 Budget and cost control focus Choosing objectives Links with corporate strategy Links with resource management Can the accounting systems cope? 3 Traditional budgeting and control Benefits and drawbacks The process Control and feedback Reporting - what can be expected? 4 Advanced budgeting and control Understanding the business process Taking out costs Cost awareness ZBB - as valid as ever 5 Reports Reports for action The purpose of a report Content - deliverables and feedback Culture is so important

Tableau is an intuitive and simple tool to learn. This Tableau training course is a jumpstart to getting report writers and analysts who are self-taught or have no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in three days. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment. At the end of this course, you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. Our Tableau Desktop Fast Track course combines all of our Foundation (Fundamentals) and Analyst (Intermediate) content into a 3 day live online course with added access to online bonus content of 3 additional modules. Gathering Requirements, Bring Your Own Data and Engaging Users. What do you get? This course is delivered live virtually and has all material provided through our online portal, together with email support and live coaching sessions. The full program includes all of the following elements: 3 days of live and interactive instructor-led sessions delivered by an expert Tableau Trainer 6 weeks access to our live coaching program delivered by expert Tableau coaches 50+ practical exercises to practice what you learn 12 months access to video’s that walk you through the theory and exercise solutions Practical advice, tools and resources for using Tableau in the real world The three additional online modules provide:Clarity on the approach to gathering dashboard requirements in a way that can be translated into dashboard designs.An agile and iterative development process that delivers products that meet user needs more quickly and effectively.An understanding of how end users will interact with dashboards to ensure that designers deliver actionable results. THE SYLLABUS PHASE 1: DESIGN MODULE 1: UNDERSTAND TABLEAU What is possible How does Tableau deal with data Know your way around Review of Type Conversions How do we format charts Dashboard basics – My first Dashboard MODULE 2: TRANSFORM DATA Connecting to and setting up data in Tableau Modifying data attributes How Do I Structure my Data – Groups & Hierarchies, Visual Groups How Tableau Deals with Dates – Using Discrete and Continuous Dates, Custom Dates How do I create calculated fields and why? – Creating Calculated Fields, Types of calculated fields, Row Level v Aggregations, Aggregating dimensions in calculations, Changing the Level of Detail (LOD) of calculations – What, Why, How MODULE 3: GATHER REQUIREMENTS(ONLINE CONTENT ONLY) Brainstorm and assess possible priorities Pitfalls to avoid Gather requirements PHASE 2: DEVELOP MODULE 4: CREATE CHARTS Charts that Compare Multiple Measures – Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots Showing progress over time Creating Tables – Creating Tables, Highlight Tables, Heat Maps Showing Relational & Proportional Data – Pie Charts, Donut Charts, Tree Maps Making things dynamic with parameters MODULE 5: COMBINE DATA Relationships Joining Tables – Join Types, Joining tables within the same database, cross database joins, join calculations Blending – How to create a blend with common fields, Custom defined Field relationships and mismatched element names, Calculated fields in blended data sources Unions – Manual Unions and mismatched columns, Wildcard unions Data Extracts – Creating & Editing Data extracts MODULE 6: ANALYSE INFORMATION Table Calculations Sets, Reference Lines, Trends and Forecasting Answering spatial questions – Mapping, Creating a choropleth (filled) map, Using your own images for spatial analysis, Mapping with spatial files Advanced charts Bar in Bar charts Bullet graphs Creating Bins and Histograms Creating a Box & Whisker plot Viz in Tooltips PHASE 3: DESIGN MODULE 7: BUILD DASHBOARDS Using the Dashboard Interface Device layouts Dashboard Actions – Set actions, Parameter actions Viz in Tooltips for Dashboards Dashboard containers – Horizontal & Vertical containers, Hidden containers Navigate between dashboards Telling data driven stories MODULE 8: BRING YOUR OWN DATA Design Best Practices & Resources Wireframe templates Questions Process Start building and testing MODULE 9: EMPOWER STAKEHOLDERS What is Tableau Server Publishing & permissions How can your users engage with content The Tableau ecosystem Review your progress Your next steps HOW MUCH OF YOUR TIME WILL THIS TAKE? Delegates are also provided 6 weeks access to our Tableau Coaching. We run Live Q&A sessions from 4pm-5pm on a Monday (Connecting to Data and Calculated Fields), 2pm-3pm Friday (Creating Charts) & 4pm-5pm Friday (Dashboard Design). The coaching helps delegates to transition from the theory of using Tableau to its practical use. We’d be expecting them to apply the exercises you’ll be doing during the course, onto your own data after the course. In our experience, this is the best way to increase both understanding and long term memory retention. The live coaching also acts as a troubleshooting platform for any practical issues that delegates need to overcome in the real world. Delegates also have 12 months access to all of the training material covered in the course in the form of an online portal (this includes theory videos, exercise solution videos, exercise materials and even quizzes). We have a growing LinkedIn community that delegates are encouraged to join and participate in. We regularly post useful blog posts and additional training that will enhance the Tableau journey and understanding. We help teams using Tableau to transform in the following ways : From a disjointed understanding of Tableau – To being familiar with Tableau terminology and capability From ad-hoc data uploads and error prone calculations – To reusable data connections and robust metrics From disjointed stakeholder questions – To clear and concise requirements that lead to decision making From being unsure how difficult Tableau will be to learn – To being able to develop standard charts and tables in Tableau with dynamic reporting capabilities From manually combining data for each analytical task – To dynamically combining data from multiple tables for analysis From being unsure how to answer analytical questions and what options there are – To being equipped with multiple actionable, dynamic, analytical use cases From not knowing Why, When and How to create Dashboards or Story’s – To being able to combine analysis to answer complex questions and tell data driven stories From using demo data theory – To Delivering value [Answering questions] on their own data From spending lots of time answering colleagues ad-hoc (data) questions – To empowering stakeholders in answering ad-hoc queries and reducing the time to analyse and steer the business

Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security

This course is designed for those already using Power BI Desktop and are ready to work with more comprehensive elements of analysing and reporting in Power BI. The course maintains a balanced look at data analysis including the Power Query Editor, with a deep dive into writing DAX formulas, and enhanced dashboard visualisations. The aim of this course is to provide a more complete understanding of the whole Power BI analytics process, by working with business examples that will equip you with the necessary skills to output comprehensive reports and explore Power BI's analytical capabilities in more depth. 1 The Query Editor Grouping rows in a table Split row by delimiter Add days to determine deadlines The query editor 2 Fuzzy Matching Joins Matching inconsistencies by percentage Matching with transformation table 3 The Query Editor M Functions Adding custom columns Creating an IF function Nested AND logics in an IF function 4 DAX New Columns Functions Including TRUE with SWITCH Using multiple conditions The FIND DAX function The IF DAX function Logical functions IF, AND, OR 5 Editing DAX Measures Making DAX easier to read Add comments to a measure Using quick measures 6 The Anatomy of CALCULATE Understanding CALCULATE filters Add context to CALCULATE with FILTER Using CALCULATE with a threshold 7 The ALL Measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentages 8 DAX Iterators Anatomy of iterators A closer look at SUMX Using RELATED with SUMX Create a RANKX RANKX with ALL 9 Date and Time Functions Overview of functions Create a DATEDIFF function 10 Time Intelligent Measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 11 Visualisations In-Depth Utilising report themes Applying static filters Group data using lists Group numbers using bins Creating heatmaps Comparing proportions View trends with sparklines 12 Comparing Variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint

Duration 1 Days 6 CPD hours This course is intended for This course is ideal for any administrator with an interest in furthering the development of their Salesforce CRM administration, Sales and Service Cloud management, and process automation skills, and who ultimately wants to succeed at the Salesforce Certified Advanced Administrator exam. Overview When you complete this course, you will be able to:Configure data and application security.Describe Sales Cloud and Service Cloud applications.Implement business logic and process automation.Build advanced reports and dashboards.Apply data management best practices. This course will help hone your knowledge of of next-level techniques to administer and manage Salesforce?s CRM capabilities through guided scenarios, lecture, and discussion. Salesforce Security and Custom Objects Restricting and extending object, record, and field access Determining appropriate sharing solutions Territory Management Data relationships Automation, Change Management, and Auditing Process automation tools and best practices Change management options Sandboxes Deployment tools Auditing and monitoring Analytics and Data Management Creating reports Report types Dashboards Data quality features and policies Sales, Service, and Content Applications Products, price books, schedules and quotes Forecasting Salesforce Knowledge Entitlements Service Cloud console toolkit Content management Wrapping Test preparation Practice exam Additional course details: Nexus Humans Salesforce Certification Preparation for Advanced Administrator (CRT211) 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 Certification Preparation for Advanced Administrator (CRT211) 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 The Dynamics 365 Supply Chain Management functional consultant. The Dynamics 365 Supply Chain Management functional consultant is a key resource that designs and configures apps to meet the requirements for a customer. The functional consultant analyzes business requirements and translates those requirements into fully realized business processes and solutions that implement industry-recommended practices. The functional consultant specializes in one or more of the following feature sets of Dynamics: finance, manufacturing, or supply chain management. They partner with architects, developers, administrators, and other stakeholders to deliver solutions that meet or exceed the needs of their customers. Overview Configure the most important Dynamics 365 Dynamics 365 Supply Chain Management functionalities. Process most of the Dynamics 365 Supply Chain Management transactions. Explain to others how Dynamics 365 Supply Chain Management features and functionalities works. This course is designed to build your foundation in Dynamics 365 Supply Chain Management application knowledge. This course will cover the most important features and functionalities needed by Dynamics 365 Supply Chain Management functional consultant including: The product information and how to configure, create, and manage your product and inventory. Supply chain management configuration and processing. The transportation management features, and the warehouse management features. Quality management and quality control functionalities. Master planning configuration and processing. This course includes lectures and several hands-on exercises. The exercises will be introduced to you on a form of a case study presented to a Dynamics 365 Supply Chain Management functional consultant. Each exercise will be bases on a business scenario followed by a question or discussion then a step-by-step guidance to perform the system related steps. Implement product information management Create and manage products Configure products for supply chain management Manage inventory pricing and costing Implement inventory management Configure Inventory management Manage and process inventory activities Implement and manage supply chain processes Implement Procurement and sourcing Implement common sales and marketing features Using Microsoft Guides Implement warehouse management and transportation management Configure warehouse management Perform warehouse management processes Implement transportation management Configure and manage quality control and quality management Configure quality control and quality management Manage quality control and quality management Implement master planning Configure master planning and forecasting Run master plans and manage planned orders Implement additional master planning features

Duration 2.25 Days 13.5 CPD hours This course is intended for The job roles best suited to the material in this course are: sales personnel, accountants, administrators, auditors, lab assistants, office job positions. Overview Work with functions. Work with lists. Analyze data. Visualize data with charts. Use PivotTables and PivotCharts. Work with multiple worksheets and workbooks. Share and protect workbooks. Automate workbook functionality. Use Lookup functions and formula auditing. Forecast data. Create sparklines and map data This course provides the knowledge to create advanced workbooks and worksheets that can deepen the understanding of organizational intelligence. The ability to analyze massive amounts of data, extract actionable information from it and present that information to decision makers. In addition this course will give you the ability to collaborate with colleagues, automate complex or repetitive tasks and use conditional logic to construct and apply elaborate formulas and functions which will allow you to work through a lot of data and generate the answers that your organisation needs. WORKING WITH FUNCTIONS Topic A: Work with Ranges Topic B: Use Specialized Functions Topic C: Work with Logical Functions Topic D: Work with Date and Time Functions Topic E: Work with Text Functions WORKING WITH LISTS Topic A: Sort Data Topic B: Filter Data Topic C: Query Data with Database Functions Topic D: Outline and Subtotal Data ANALYZING DATA Topic A: Create and Modify Tables Topic B: Apply Intermediate Conditional Formatting Topic C: Apply Advanced Conditional Formatting VISUALIZING DATA WITH CHARTS Topic A: Create Charts Topic B: Modify and Format Charts Topic C: Use Advanced Chart Features USING PIVOTTABLES AND PIVOTCHARTS Topic A: Create a PivotTable Topic B: Analyze PivotTable Data Topic C: Present Data with PivotCharts Topic D: Filter Data by Using Timelines and Slicers WORKING WITH MULTIPLE WORKSHEETS AND WORKBOOKS Topic A: Use Links and External References Topic B: Use 3-D References Topic C: Consolidate Data SHARING AND PROTECTING WORKBOOKS Topic A: Collaborate on a Workbook Topic B: Protect Worksheets and Workbooks AUTOMATING WORKBOOK FUNCTIONALITY Topic A: Apply Data Validation Topic B: Search for Invalid Data and Formulas with Errors Topic C: Work with Macros USING LOOKUP FUNCTIONS AND FORMULAS AUDITING Topic A: Use Lookup Functions Topic B: Trace Cells Topic C: Watch and Evaluate Formulas FORECASTING DATA Topic A: Determine Potential Outcomes Using Data Tables Topic B: Determine Potential Outcomes Using Scenarios Topic C: Use the Goal Seek Feature Topic D: Forecast Data Trends CREATING SPARKLINES AND MAPPING DATA Topic A: Create Sparklines Topic B: Map Data

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Solution Architects, and System Architects. Overview Describe the SAP BusinessObjects Business Intelligence tools.Learn about the use cases and get an overview of basic functions of the most important BusinessObjects reporting tools. In this course, students describe the SAP BusinessObjects Business Intelligence tools and learn about the use cases by getting an overview of basic functions of the most important BusinessObjects reporting tools. Overview of SAP BusinessObjects Business Intelligence (BI) 4.1 Describing SAP Analytics Solutions Identifying the Components of SAP BusinessObjects 4.1 Semantic Layer in SAP BusinessObjects BI 4.1 Describing Semantic Layer Technology Creating a Universe in the Information Design Tool SAP Crystal Reports Creating a Report in SAP Crystal Reports for Enterprise Creating a Report in SAP Crystal Reports 2013 Differentiating SAP Crystal Reports 2013 and SAP Crystal Reports for Enterprise SAP BusinessObjects Web Intelligence Creating Web Intelligence Documents in SAP BusinessObjects Web Intelligence SAP BusinessObjects Analysis, Edition for Microsoft Office Creating a Workbook in SAP BusinessObjects Analysis, Edition for Microsoft Office SAP BusinessObjects Analysis, Edition for OLAP Creating a Workspace with SAP BusinessObjects Analysis, Edition for OLAP SAP BusinessObjects Design Studio 1.2 Creating an Analytical Application in SAP BusinessObjects Design Studio 1.2 SAP BusinessObjects Dashboards Creating a Dashboard with SAP BusinessObjects Dashboards SAP BusinessObjects Explorer Creating an SAP BusinessObjects Explorer Information Space SAP Lumira and SAP Predictive Analysis Visualizing Data in SAP Lumira Forecasting in SAP Predictive Analysis Additional course details: Nexus Humans SAPBI Introduction to SAP BusinessObjects BI Solutions 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 SAPBI Introduction to SAP BusinessObjects BI Solutions 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 professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines