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Start your learning journey straightaway with our Adobe Premiere Pro Introduction Training! Adobe Premiere Pro Introduction premium bundle consists of 35 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Adobe Premiere Pro Introduction is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Adobe Premiere Pro Introduction course. After passing the Adobe Premiere Pro Introduction exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 350 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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This Data Analysis with Data Science & Machine Learning Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Data Analytics with Tableau Course 03: Complete Google Analytics Course Course 04: Python for Data Analysis Course 05: Quick Data Science Approach from Scratch Course 06: R Programming for Data Science Course 07: Learn MySQL from Scratch for Data Science and Analytics Course 08: Master JavaScript with Data Visualization Course 09: Excel Data Analysis Course 10: Statistics & Probability for Data Science & Machine Learning Course 11: Root Cause Analysis Course 12: Google Data Studio: Data Analytics Course 13: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 14: Business Intelligence and Data Mining Masterclass Learning Outcomes: Develop a solid understanding of data analysis techniques. Learn how to collect, manage, and manipulate data effectively. Gain knowledge in the programming languages commonly used in data analysis, such as Python and R. Become proficient in data visualisation and presentation. Develop an understanding of machine learning algorithms and their application in data analysis. Learn how to use various data analysis software, including Tableau and Google Analytics. The Data Analysis with Data Science & Machine Learning bundle includes a variety of courses aimed at providing theoretical knowledge in the field of data analysis. The bundle covers a wide range of topics, starting with the basics of data analysis such as data cleaning, exploration, and visualisation. With courses such as Introduction to Data Analysis, Data Analytics with Tableau, Complete Google Analytics Course, Python for Data Analysis, Quick Data Science Approach from Scratch, R Programming for Data Science, Learn MySQL from Scratch for Data Science and Analytics, and Master JavaScript with Data Visualization, learners can get a comprehensive understanding of data analysis concepts. The course material is presented in a theoretical format to help learners gain a deep understanding of the topics. Learners can engage with the material at their own pace. The course content is presented in a way that is easy to understand, making it ideal for those who are new to the field of data analysis. Course Curriculum: Data Analysis with Data Science & Machine Learning Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals seeking to upskill and enhance their data analysis knowledge and abilities. Individuals interested in pursuing a career in data analysis, data science or machine learning. Business owners or entrepreneurs looking to gain insights into their data and make data-driven decisions. Students or recent graduates seeking to gain valuable experience and knowledge in data analysis. Anyone looking to expand their knowledge and understanding of data analysis and its useful applications. Requirements This Data Analysis with Data Science & Machine Learning course has been designed to be fully compatible with tablets and smartphones. Career path Data Analyst: £24k-£42k per annum. Business Intelligence Analyst: £25k-£60k per annum. Data Scientist: £27k-£65k per annum. Machine Learning Engineer: £28k-£80k per annum. Business Analyst: £24k-£52k per annum. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - £10 You will get the Hard Copy certificate for the Data Analysis with Data Science & Machine Learning course absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.
Course Information Our comprehensive course is used as a gateway to those stepping into the world of auditing clinical studies. Tailored for those already acquainted with Good Clinical Practice (GCP) and those transitioning from other audit disciplines, this programme stands as a pivotal guide. Pre-existing knowledge of GCP will significantly enhance your learning experience in auditing against these guidelines. How is this course run? Engage in immersive workshops providing hands-on practice with auditing techniques in a GCP context. Our seasoned tutors, boasting extensive audit experience, intertwine theory with practical insights drawn from their own professional journeys. What will I learn? A comprehensive understanding of the historical backdrop and objectives driving Good Clinical Practice, incorporating the latest industry developments Solid grounding in quality assurance activities aligned with regulatory standards Insight into potential pitfalls within clinical trials and the pivotal role of auditors in addressing these issues Clarity on the roles and responsibilities inherent to clinical trials auditing Exposure to a diverse range of audit techniques complemented by illustrative examples and supportive documents A nuanced understanding of regulatory inspectors' activities Expanded professional networks to propel your auditing career forward. Benefits include: A clear understanding of the role of the auditor under Good Clinical Practice improved audits Improved Good Clinical Practice compliance for your clinical trials. This course is structured to encourage delegates to: Discuss and develop ideas Solve specific problems Examine particular aspects of Good Clinical Practice. Tutors Tutors will be comprised of (click the photos for biographies): Rosemarie Corrigan EVP Global Quality, Worldwide Clinical Trials Cathy Dove Director and Owner, Dove Quality Solutions Julie Kelly Associate Director, Clinical Quality Assurance, Corcept Therapeutics Susana Tavares Director of Research Quality Assurance, - Programme Please note timings may be subject to alteration. Day 1 12:30 Registration 13:00 Welcome and Objectives for the first day of the course 13:30 Laying the Foundations Introduction to the clinical development process, the concepts of quality assurance, quality control and audit. 14:30 Break 15:00 Patient Protection Requirements for informed consent and ethics committee. Access to source documentation. Including a patient protection exercise. 16:05 Workshop 1 - Case Study on Informed Consent 16:45 End of Day Questions and Answers 17:00 Close of Day Day 2 08:50 Questions and Answers from Day 1 09:00 Effective Site Audits The procedures involved in selecting and setting up audits at investigator sites. 09:40 Workshop 1 - Planning the Effective Audit 10:30 Break 10:45 Source Data Verification The need for and purpose of verifying data. 11:25 Workshop 2 - Source Data Verification 12:30 Lunch 13:30 IMP Management The requirements surrounding the distribution of investigational medicinal products. Accountability from release to destruction. 14:15 Critical Document Audits The conduct of other study specific audits including protocols, databases and reports. 15:00 Break 15:15 Non-compliance Determining the acceptability of data. 16:00 Fraud - Fact or Fiction? How to identify fraud and its consequences 16:45 End of Day Questions and Answers 17:00 Close of Day Day 3 08:50 Questions and Answers from Days 1 and 2 09:00 Auditing Third Parties A review of audits of contract research organisations. 10:00 System Audits The concept of auditing processes across many clinical trials, including a practical exercise in process mapping. 10:45 Break 11:00 Workshop 3 - Process Mapping 11:45 Effective Audits Where theory meets reality. 12:30 Lunch 13:20 Audit Reports - Closing the Loop An examination of the processes which follow the evidence gathering phase of the audit. 14:20 Workshop 4 - Audit Reports Audit reports, corrective and preventive action. 15:00 Break 15:10 Regulatory Inspection Auditors and regulatory inspections -how the QA team can help the organisation to perform during a regulatory inspection. 15:55 Final Questions and Answers 16:10 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 17 Points Development Level Develop
Game development is a symphony of code, graphics, and creativity, culminating in an epic journey for the player
This course is a comprehensive exploration of the dynamic issues shaping education today. From historical models and theories to the impacts of education reform and technology integration, participants will gain a deep understanding of the multifaceted dimensions of contemporary education. The course is designed to equip individuals with the knowledge and insights needed to navigate the complexities and contribute to the advancement of educational systems. After the successful completion of the course, you will be able to learn about the following, Understand the historical models, theories, and foundations that have shaped the evolution of education systems. Evaluate the impact of education reform, policies, and funding sources on educational outcomes and accessibility. Analyze different approaches and types of learner engagement in the context of the UK's unique higher education system. Examine the importance of technology in education, its role in enhancing learning experiences, and its impacts on teaching methodologies. Identify the government's stance on technology integration and recognize the key stakeholders involved in shaping education through technological advancements. Uncover the rich tapestry of education evolution by understanding historical models and foundational theories. Assess the intricate web of education reform, policies, and funding sources, unraveling their effects on accessibility and outcomes. Delve into the diverse approaches to learner engagement within the distinctive realm of the UK's higher education system. Examine the pivotal role of technology, exploring its significance in enhancing learning experiences and reshaping teaching methodologies. Gain insights into the government's stance on technology integration and identify key stakeholders steering education through technological advancements. This course is an in-depth exploration of contemporary issues in education, offering participants a nuanced understanding of historical, policy, and technological facets. Participants will develop critical analytical skills to assess the impact of reforms and technology on education outcomes. The course prepares individuals for diverse roles, from shaping policies to designing innovative learning experiences, in the ever-evolving field of education. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Contemporary Issues in Education Self-paced pre-recorded learning content on this topic. Navigating Contemporary Issues in Education Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Education Policy Analyst Curriculum Development Specialist Educational Technology Consultant Higher Education Strategist Learning Experience Designer Education Funding Analyst Technology Integration Manager Educational Researcher Education Advocacy Specialist Policy and Program Evaluation Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.