Our up-to-date course covers the latest PMBOK 6, 7, and Agile updates, providing a simplified guide to project management. Learn the framework, processes, and knowledge areas, and see how they work together to manage projects and stakeholders. It is perfect for those seeking to efficiently manage projects and pass the PMP exam.
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Course Overview This comprehensive Microsoft Office course provides an in-depth understanding of the core Office applications—Word, Excel, PowerPoint, and Access. Designed to develop essential digital skills, it equips learners with the ability to navigate each program with confidence, improving document creation, data management, presentations, and database handling. Covering both foundational and advanced features, the course is ideal for those looking to boost their efficiency in a variety of business and administrative contexts. By the end of the course, learners will have the capability to produce professional documents, organise data in spreadsheets, create impactful presentations, and manage information through databases. This structured training ensures clarity in using Microsoft Office tools to support workplace productivity and enhance employability across multiple sectors. Course Description This course explores the full functionality of Microsoft Word, Excel, PowerPoint, and Access—focusing on both classic and new features of the 2019 versions. Learners will begin with the essentials, such as creating and formatting documents, performing calculations in spreadsheets, and developing effective slide presentations. As the modules progress, learners will delve into more detailed features, including managing lists, inserting graphics, handling data queries, and designing user-friendly reports. The training also includes familiarisation with the interface and workflow improvements in each application, offering structured, sequential guidance. Ideal for office professionals, jobseekers, and administrative staff, the course enhances digital fluency and enables learners to carry out a wide range of clerical and operational tasks using the Microsoft Office suite. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Microsoft Word 2019 Module 09: Microsoft Word 2019 New Features Module 10: Getting Started with Word Module 11: Formatting Text and Paragraphs Module 12: Working More Efficiently Module 13: Managing Lists Module 14: Adding Tables Module 15: Inserting Graphic Objects Module 16: Controlling Page Appearance Module 17: Preparing to Publish a Document Module 18: Workbooks - Microsoft Word 2016 (Beginner) Module 19: Microsoft PowerPoint 2019 Module 20: Microsoft PowerPoint 2019 New Features Module 21: PowerPoint Interface Module 22: Presentation Basics Module 23: Formatting Module 24: Inserting Options Module 25: Working with Objects Module 26: Table Module 27: Charts Module 28: Review and Presentation Module 29: Microsoft Access 2019 Module 30: Microsoft Access 2019 New Features Module 31: Introduction to Access Module 32: Modify Data Module 33: Working with Queries Module 34: Access Forms Module 35: Working with Reports (See full curriculum) Who is this course for? Individuals seeking to improve their office software knowledge for employment. Professionals aiming to upgrade their digital skills in a business setting. Beginners with an interest in learning Microsoft Office applications. Jobseekers and administrative workers looking to strengthen their CVs. Career Path Administrative Assistant Data Entry Officer Office Manager Project Coordinator Personal Assistant Executive Support Roles Customer Service Representative Database Administrator (Entry-Level)
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This confidentially & effective record keeping training course is aimed at assisting staff to understand what is expected of them regarding confidentiality, maintaining accurate up to date records and documents.
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Project management professionals constantly need to make project decisions that could be decisive for the outcome of their projects but often do not have sufficient information available to confidently make decisions. As a result, projects are increasingly falling short of delivering on their promises, requiring, more than ever, a data-informed approach to decision-making in the area of project delivery and management. The rapid growth of data comes with various challenges though, which consequently needs consideration of various critical factors for a successful implementation of a data-informed decision-making process in organizations and projects.
Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs