41292 Learning courses in Glasgow delivered On Demand

The BCS Practitioner Certificate in Business Analysis Practice, an advanced course honing expertise in business analysis. Master practical techniques, stakeholder engagement, and requirements engineering. About this course £396.00 110 lessons Accredited training Certificate of completion included Course curriculum IntroductionCourse Introduction Session 11.1 Learning Objectives1.2 Understanding the Strategic Context1.3 SWOT Analysis1.4 VMOST Analysis1.5 Resource Audit1.6 Porter's Five Forces1.6 PESTLE Analysis1.7 Balanced Business Scorecard(BSC)1.8 Performance Measurement and VMOST1.9 Critical Success Factors(CSF's), Key Performance Indicators(KPI's) and Targets1.10 Attributes of Good Objectives(SMART)1.11 How does it all work together?1.12 Test Your Knowledge Session 22.1 Learning Objectives2.2 Introduction2.3 What is a Stakeholder?2.4 Stakeholder Engagement and the Strategic Context2.5 Stakeholder Engagement2.6 Stakeholder Analysis2.7 The Stakeholder Wheel2.8 Power Interest Grid2.9 RACI Chart2.10 Understanding Stakeholder Perspectives2.11 Stakeholder and Business Perspectives2.12 The CATWOE Technique2.13 Root Definition2.14 Identifying Conflicts2.15 Test Your Knowledge Session 33.1 Learning Objectives3.2 Background Research3.3 Investigation Techniques3.4 Tools to Represent the Current State3.5 Test Your Knowledge Session 44.1 Learning Objectives4.2 Introduction4.3 What is a Business Activity Model?4.4 The Approach to Business Activity Modelling4.5 The Benefits of a Business Activity Model4.6 Corner Shop Example of a Business Activity Model4.7 Building the Business Activity Model4.8 Common Errors in a Business Activity Model4.9 Producing a Consensus Model4.10 Business Events4.11 Business Rules4.12 Identifying Areas of Concern4.13 Target Operating Model (TOM)4.14 Defining the New Business ModelTest Your Knowledge Session 55.1 Learning Objectives5.2 Introduction5.3 Design Thinking5.4 Divergent Thinking5.5 Gap Analysis5.6 Formulating Options5.7 Areas of FeasibilityTest Your Knowlege

Data doesn’t speak for itself — it needs someone who can ask the right questions and write the right code. This course offers a focused introduction to three of the most widely used tools in data science: Python, JavaScript, and Microsoft SQL. You’ll explore how each language plays its part in working with data, from handling large datasets to performing analysis and visualisation. All delivered online, with no whiteboards, lab coats or cold meeting rooms involved. Whether you're curious about coding or keen to brush up on logic and structure, the course walks you through the essentials with clarity and purpose. You’ll look into the building blocks of each language, how they interact with data, and how they can be used to create meaningful insights. Designed for learners who prefer clear content over convoluted lectures, it's a straight-talking guide to getting started in data science — without trying to be clever for the sake of it. Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

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The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Construction Safety, Scaffolding, LOLER bundle, a comprehensive, complete collection of 30 courses. Each course in the Construction Safety, Scaffolding, LOLER bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Construction Safety, Scaffolding, LOLER bundle offers the flexibility and convenience to learn at your own pace. Make the Construction Safety, Scaffolding, LOLER package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Construction Safety - Scaffolding, LOLER is perfect for: Expand your knowledge and skillset for a fulfilling career with the Construction Safety, Scaffolding, LOLER bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Construction Safety, Scaffolding, LOLER bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Construction Safety, Scaffolding, LOLER bundle. Learn on your schedule, in the comfort of your home - the Construction Safety, Scaffolding, LOLER bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. 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Machine Learning for Business Professionals This Machine Learning for Business Professionals course provides an in-depth exploration of how machine learning and data science can revolutionise business decision-making. Starting with the basics of R programming, you’ll learn how to manage and visualise data effectively, progressing to more complex machine learning techniques. By the end of this course, you’ll be equipped to apply predictive models and generate insights that can significantly impact business strategies. Course Curriculum Data Science and Machine Learning Course Intro Getting Started with R Data Types and Structures in R Intermediate R Data Manipulation in R Data Visualization in R Creating Reports with R Markdown Building Webapps with R Shiny Introduction to Machine Learning Starting A Career in Data Science Resources (Learn more about this online course)