Java CrossOver Course for Coders 1-Day, 11am - 6pm Online, Instructor-led, Interactive, Practical Java Basics to coders who are converting to Java from a different coding language. You do not need much time to learn the syntax of Java, because you have done similar work in other programming languages Hands-on, Practical Course, Instructor-led Course. Online with Gotomeeting.com 1 day, from 11am - 6pm. In classroom at on request only. Locations Java CrossOver Course description Overview of Java: This course covers Java Object-Oriented Programming (OOP) principles. Java Data Types and using Variables in Java: Here we learn to code using data types and variables of different data types: Primitives; Characters; Boolean; Variables and variable scope; String class; Type conversion and casting. Java Operators and Expressions: What are operators and how to use them; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: The Java Syntax for the If-statement; If,else; If,else if,else; Nested if; Switch Statements; Using Loops: For loops, while loops, do while, Enhanced for loop; Nesting loops; break, continue; The return statement. Arrays: Working with arrays, 2-d arrays, iterating arrays. Using the for-each loop with Arrays Lists: Working with lists. Lists vs Arrays. Files,streams with Java: Open, Read and Write to CSV Files, txt files and bin files. Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; The finally blocks Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this keyword, the static keywords, the super keyword. Using Methods: Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters; More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion; Access control : private, public and protected; The final keyword. What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java CrossOver Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments
SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments
SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments
Fraud should not happen, but it does. It can happen at the highest to lowest levels in an organisation. Recent surveys show that incidents of fraud are not decreasing. Fraud costs companies money and, perhaps even more importantly, reputational damage. The losers are not just the shareholders, suppliers, customers, etc, but society as a whole. This programme shows why frauds happen, how organisations put themselves at risk and what they can do to prevent it. This programme will help directors and others understand: The motives for committing fraud Directors' responsibilities for identifying and reporting fraud What types of frauds there are How frauds are perpetrated How they can be prevented How regulators deal with fraud Above all, the principal objective of this programme is to help make your organisation as secure as possible from the threat of fraud. 1 Motives for committing fraud - drivers of fraud Session objective: to understand why people might commit fraud Drivers of fraudulent behaviourAmbitionGreedTheftConceit? And more! 2 Accounting mechanisms that allow fraud Session objective: to review the elements of the accounting, internal control and management processes that allow creative accounting Income or liability? Asset or expense? Coding errors and misclassification Netting off and grossing up Off-balance sheet items 3 Structures that allow fraud Session objective: to consider company and trading structures that allow frauds to be perpetrated Group structures Trading structures Tax havens Importing and exporting 4 Interpretations and other non-compliance that allow fraud Session objective: to look at how creative interpretations of law and accounting practice may permit fraud The place of accounting standards Accounting policies Trading methods The place of auditing standards 5 Money laundering Session objective: to review what constitutes money laundering Types of money laundering Identifying laundering Preventing laundering 6 Preventing fraud - proper management structures Session objective: to review the place of proper corporate governance Corporate governance Company management structure Audit committees The place of internal audit 7 Preventing fraud - proper accounting Session objective: to review best accounting and auditing practice Accounting standards Internal accounting policies Adequacy of internal controls Internal audit 8 Preventing fraud - regulation Session objective: to look at how regulators aim to prevent fraud The regulatory environment Financial services regulation 9 Conclusion Course review Open forum Close 10 Course summary - developing your own cost action plan Group and individual action plans will be prepared with a view to participants identifying their cost risks areas and the techniques which can be immediately applied to improve costing and reduce costs
Following on from the Macros course look at how you can write your own Visual Basic code within Excel to fully automate tasks and save time. Course overview Duration: 2 days (13 hours) Our VBA in Excel course is an introduction to using the Visual Basic for Applications language for programming in Excel. It looks at structures, syntax and coding standards. This course is designed for existing experienced users of Excel who can record and run macros and those who have dabbled in VBA but would like some formal training and help to put some structure to their code. Objectives By the end of the course you will be able to: Write visual basic procedures Create event and general procedures Use commands from the Excel data model Use statements and functions Use a selection of debugging tools Create and use variables and constants Use different types of loops Create an Excel user form Content The VBA environment Project explorer Excel objects Modules Properties window Code window Code structure Code structure Navigating within your code Adding comments Using WITH Steps to creating a VBA procedure Procedures Sub procedures Event procedures Calling procedures The Excel data model Workbook commands Worksheet commands Excel selection methods Data manipulation commands Debugging Using breakpoints Stepping through code The immediate window The watch window The locals window points Variables and Constants Declaring variables Declaring multiple variables Variable data types Concatenation Scope of variables Constants Declaring constants Using constants Scope of constants Looping Do while loops Do until loops For next loops Conditional Statements IF statement SELECT CASE statement Comparison statements Logical operators Creating a User Form Form layout The control toolbox Naming conventions Adding objects Naming objects Captions Displaying the form Object properties Object properties Setting properties at design time Setting properties at run time Interconnectivity between the user form and Excel Comparing values Transferring information Running code
Expand your VBA knowledge further and learn some of the more advanced coding features. Course overview Duration: 2 days (13 hours) This course is aimed at experienced VBA users or those who have attended our Part 1 course and have started to use the language. Part 2 expands on the huge array of commands and elements of the data model that can be used and looks at building more complex VBA models Objectives By the end of the course you will be able to: Use comparison operators and system functions Use Arrays Work with ranges Work with the worksheets and workbooks collections and objects Use application objects Use the FileSystemObject Create function procedures Import and save text files Connect to other applications Content Comparison operators Using Comparison operators and functions The LIKE function Wildcards Using SELECT Case System functions The VAL function Case functions Trim functions Text functions Date functions Excel worksheet functions Using Excel functions in VBA Arrays Creating arrays Using arrays Ubound and Lbound Single and multi dimensional arrays Static vs dynamic arrays Working with ranges Creating range objects Passing data between range objects and arrays Using Transpose The Excel object model The object browser Working with collections Collections Creating object variables Setting object variables The For Each . . . Next Loo Sheet collections The worksheets collection The worksheet object The sheets collection Using object Grouping worksheets Using Typename The Workbook collection The workbooks collection Setting workbook variables Application objects Excel default information Display/alerts Screen updating Status bar On Time Using Wait Systems dialog boxes Showing dialog boxes Using dialog boxes Working with files Searching for files and folders The DIR function The FileSystemObject Function procedures Creating functions Adding arguments Calling functions Working with text files Searching for files and folders The DIR function The FileSystemObject Using the FILE and FOLDER collections Sharing data with other applications Early vs Late Binding Setting references to other applications Creating application variables Setting application variables
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Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives
Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives