43870 Learning courses in Sheffield delivered Online

This course is intended for This course is intended for anyone who wants to learn the fundamentals of project management. No prior experience required. Overview Goals and benefits of implementing project management Key project management terminology, frameworks, and tools How to apply the approaches and processes to better manage and complete a project Important interpersonal interactions needed for successful projects This 1-Day virtual Project Management Best-Practices course provides an overview of fundamental elements of the project lifecycle ? from project initiation through project close. With a focus on traditional project management concepts, students will complete this course with an improved ability to understand the best path forward for bringing projects to successful completion. Students will benefit from this course by understanding the foundational principles of project management, improving their project management skills, utilizing tools and techniques to effectively manage projects, gaining a common project management language to improve communication, and learning frameworks to identify, manage, and mitigate risk. Concepts learned in this course are immediately applicable to ongoing projects. Note: This course has been approved by PMI for 8 PDUs. 1 - Introduction What are Projects? What is Project Management? Basic Project Management Process Project Selection How Projects Further Organizational Goals What Factors can Influence Projects? Documentation Project Management Tools Role of the Project Manager The Language of Project Management 2 - Starting a Project Authorizing the Project (Project Selection) Assigning the PM Identifying and Documenting the High-Level Scope Gathering a Planning Team Identifying and Documenting the Impacted Parties 3 - Planning a Project Adapting to the Needs of the Project (Planning Level) Identifying the Work Required Estimating Time, Cost and Resources Required Developing a Schedule Developing a Budget Planning Communications and Quality Risk Management Purchases and Outside Vendors for a Project 4 - Executing the Project Baselines Managing Participants in the Project Managing Interested and Impacted Parties Performing the Planned Work Negotiating and Signing Contracts Managing Communications, Risk and Quality 5 - Overseeing and Controlling the Project Controlling the Scope, Schedule and Budget Controlling Change to the Project (Scope, Schedule, Cost and Final Product) Quality Assurance and Control Contract Administration 6 - Ending a Project Overseeing and Controlling the Project Executing the Project Closing Contracts Transferring the Final Product Lessons Learned and Archiving Records

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.

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + CPD Accreditation | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + CPD Accreditation | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + NCFE Awards + CPD Accreditation | Assessment & Tutor Support Included

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)

Begin your journey in compliance management with practical knowledge of the laws and legislations that make up the regulatory field in the United Kingdom. Do you know that FCA sets an annual CPD requirement both for senior managers and employees of financial service firms? As per TC 2.1.15 & 2.1.16, the requirement is 35 hours in each 12 months, including 21 hours of structured CPD activities. Furthermore, TC 2.1.20G27/05/2022 defines structures CPD activities as follows: “Examples of structured continuing professional development activities include participating in courses, seminars, lectures, conferences, workshops, web-based seminars or e-learning.” Our FCA Compliance Essentials Bundle, fulfilling and even exceeding the FCA requirement in terms of CPD hours, is ideal for any professional within Financial Services. Study method Online, self-paced Course format Video with subtitles Duration 40 hours Qualification No formal qualification CPD 40 CPD hours / points Certificates Certificate of Completion - Free Description LGCA's FCA Compliance Essentials eLearning library currently includes the following courses (new courses are added on a regular basis): AML Risk Assessment AML Suspicious Activity Reports and Suspicious Transaction Reports (SAR/STRs) Anti-Bribery and Corruption Anti-Money Laundering and Counter Terrorist Finance Approved Persons Regime Assessing and Managing AML Risks Building an AML Risk-based Approach CASS Introduction Complaints Handling Compliance Introduction Compliance Monitoring and Testing Conduct Rules for All Staff Conflict of Interest (COI) Consumer Duty Establishing and Maintaining a Strong CDD Programme Ethics, Integrity and Fairness in Financial Services FCA: the Role and Approach Financial Promotions Regulation Fraud Detection and Prevention GDPR Awareness Introduction to Cybersecurity Introduction to Know Your Client (KYC) and Customer Due Diligence (CDD) Market Abuse (MAR) Operational Resilience Senior Managers and Certification Regime SM&CR – The Conduct Rules Suspicious Transactions/Activity Reporting The Value of Customer Due Diligence (CDD) Treating Customers Fairly Vulnerable Customer Management Whistleblowing Creating a Compliance Culture in Financial Services Who is this course for? Financial Services Providers Accounting Offices Financial Institutions Brokers Wealth & Fund Managers Investment Firms Insurance Companies Law Firms Compliance Consultants Payment Solutions Providers FinTech & RegTech Companies Fiduciary Services Firms