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Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Do you know what the key skills graduate employers look for? Most employers often emphasise on industry-standard skills

This is a very popular, comprehensive, practical and experiential programme, covering: Assessing risks: Defines and demystifies risk and risk assessment. Risk assessments and a simple scoring system are introduced, and participants carry out assessments. Controlling risks: Cutting risks down, concentrating on the best techniques to control key risks and how to choose the right methods. Understanding your responsibilities: The legal framework; health & safety management systems. Identifying hazards: The main issues any organisation has to deal with: entrances and exits, work traffic, fire, chemicals, electricity, physical and verbal abuse, bullying, stress, noise, housekeeping and the working environment, slips, trips and falls, working at height, computers and manual handling. Investigating accidents and incidents: Why accidents should be investigated, why things go wrong and how to carry out an investigation when they do. Measuring performance: How checking performance can help to improve health & safety. How to develop basic performance indicators. Auditing and proactive and reactive measuring. Protecting the environment: Introduction to waste and pollution. How organisations and individual managers can get involved in cutting down their environmental impacts. The programme enables participants to: Assess and control risks and hazards Understand their own responsibilities for safety and health Investigate incidents Measure their own performance Reflect on good practice and plan how to ensure the safety of the staff for whom they are responsible

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Give a compliment to your career and take it to the next level. This Legal Consultant Diploma bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Legal Consultant Diploma bundle will help you stay ahead of the pack. Throughout the Legal Consultant Diploma programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Legal Consultant Diploma course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Legal Consultant Diploma Bundle Consists of the following Premium courses: Course 1: Business Law Course 2: Contract Law UK Level 3 Course 3: International Law Course 4: Medical Law Course 5: Contract Manager Diploma Course 6: Anti Money Laundering (AML) Regulation for AML Officers Diploma Course 7: Office Skills Course 8: Level 2 Effective Minute Taking Course Course 9: Stress Management Training Course 10: Effective Communication Skills Diploma Curriculum Course 1: Legal Consultant Diploma Legal Advisor Training Legal Advisor Organising Work Using MS Word Course 2: Business Law Module 1: Understanding Business Law Module 2: European Community Law Module 3: The Court System Module 4: Civil and Alternative Dispute Resolution Module 5: Contract & Business Law Module 6: Employment Law Module 7: Agency Law Module 8: Consumer Law and Protection Module 9: Law of Tort Module 10: Business Organisations Module 11: Company Law Module 12: Business Property Module 13: Competition Law Course 3: Contract Law UK Level 3 Module 01: Introduction to UK Laws Module 02: Ministry of Justice Module 03: Agreements and Contractual Intention Module 04: Considerations and Capacities of Contact Laws Module 05: Terms within a Contract Module 06: Misinterpretations and Mistakes Module 07: Consumer Protection Module 08: Privity of Contract Module 09: Insurance Contract Laws Module 10: Contracts for Employees Module 11: Considerations in International Trade Contracts Module 12: Laws and Regulations for International Trade Module 13: Remedies for Any Contract Breach Course 4: International Law Module 01: Basics of International Law Module 02: Sources of International Law Module 03: International Law and Municipal Law Module 04: International Organisations Module 05: International Law of Human Rights Module 06: Private International Law Module 07: International Criminal Law Module 08: Law of Treaties Module 09: Territory and Jurisdiction Module 10: Law of the Sea Module 11: International Commercial Law Module 12: International Environmental Law Course 5: Medical Law Module 01- An Introduction to Medical Law Module 02- Legislation on Access to Health, Medical Report, Treatment Module 03- Legislation on Adult Support Module 04- Legislation on Public Health and Health Service (Part 1) Module 05- Legislation on Public Health and Health Service (Part 2) Module 06- Legislation on Public Health and Health Service (Part 3) Module 07- Legislation on Public Health and Health Service (Part 4) Module 08- Legislation on Coronavirus Module 09- Legislation on Mental Health (Part 1) Module 10- Legislation on Mental Health (Part 2) Module 11- Legislation on Abortion Module 12- Other Legislation (Part 1) Module 13- Other Legislation (Part 2) Course 6: Contract Manager Diploma Module 01: Introduction to Contract Management Module 02: Classification of Contracts Module 03: Contract Lifecycle - Understanding The Stages Module 04: Principles of English Contract Law Module 05: Contract Management Plan & Efficiency Module 06: Contract Manager's Roles, Responsibilities & Career Opportunities Module 07: Risks, Disputes & Supplier Relation In Contract Management Module 08: Negotiation, Variation & Changes in Contract Management Module 09: Contract Management Process Evaluation & KPI Module 10: Contract Review, Challenges and Future Course 7: Anti Money Laundering (AML) Regulation for AML Officers Diploma Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Course 8: Office Skills Module 01: Introduction to Reception and Receptionist Module 02: Business Telephone Skills Module 03: Representing Your Boss and Company Module 04: Mail Services and Shipping Module 05: Travel Arrangements Module 06: Organising Meeting and Conferences Module 07: Time Management Module 08: Record Keeping and Filing Systems Module 09: Business Writing Skills Module 10 :Organisational Skills Module 11: Communication Skills Module 12: Customer Service Module 13: Effective Planning and Scheduling Module 14: Invoicing/Petty Cash Module 15: Business Environment Module 16: Advanced MS Excel Course 9: Level 2 Effective Minute Taking Course Module 01: Introduction to Minute Writing Module 02: Preparation for Minute Taking Module 03: The Meeting Structure Module 04: Minute Meeting, Decision and Action Module 05: Roles and Responsibility of Minute Taker Module 06: Tips for Minute Taking Module 07: Technology in Minute Taking Module 08: Building Confidence Course 10: Stress Management Training Beginning Concepts Specific Stress Management Techniques MORE Stress Reduction Strategies Still MORE Stress Reduction Techniques - Part 1 Still MORE Stress Reduction Techniques - Part 2 Still MORE Stress Reduction Techniques - Part 3 BONUS Video & Wrap Up! Special LIVE Bonus Video! Course 11: Effective Communication Skills Diploma Module 01: Business Communication Module 02: Verbal and Non-verbal Communication Module 03: Written Communication Module 04: Electronic Communication Module 05: Communicating with Graphic Module 06: Effectively Working for Your Boss How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Legal Consultant Diploma bundle. Requirements This Legal Consultant Diploma course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course ( Legal Consultant Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The de.livery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost

In this course, you will start as a beginner without any previous knowledge about hacking. The course focuses on both practical and theoretical sides to ensure that you understand the attack before performing it. Learn how black hat hackers hack and White hat hackers secure Windows OS with the help of advanced methods.

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