85 Courses

In the digital age, where data is as precious as gold, our 'GDPR UK Training' course stands as a beacon of knowledge and empowerment. Imagine navigating the intricate maze of data protection with ease and confidence. The first module introduces you to the heart of the UK GDPR - its purpose and principles. Here, you embark on a quest to understand the foundations that keep personal data safe in a world teeming with information. As you delve into the Legal Foundations of GDPR in the second module, you are armed with the knowledge to decipher complex legal jargon, transforming you into a champion of data protection law. The journey continues as you explore the Governance of GDPR, a module that turns you into a custodian of data governance, understanding the nuances of compliance and oversight. Protecting Personal Data is not just a module; it's your shield in the battle against data breaches. As you progress, you'll uncover the mysteries behind Exemptions to GDPR, understanding the delicate balance between data protection and practical necessity. The course culminates with a deep dive into International Transactions and National Security, equipping you with the acumen to navigate the global challenges of data protection. This course is not just a learning experience; it's your initiation into the elite circle of GDPR connoisseurs. Learning Outcomes Grasp the core objectives and regulations of the UK GDPR. Understand the legal framework underpinning GDPR and its applications. Acquire skills in managing and governing GDPR within organizations. Learn strategies to safeguard personal data effectively. Navigate the complexities of international data transactions and national security issues under GDPR. Why choose this GDPR UK Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this GDPR UK Training for? Data Protection Officers and Compliance Managers. Business owners and managers handling personal data. Legal professionals seeking specialization in data protection law. IT professionals responsible for data security and compliance. Policy makers and advisors in the field of data protection and privacy. Career path Data Protection Officer: £35,000 - £65,000 Compliance Manager: £30,000 - £60,000 Legal Advisor (Data Protection): £40,000 - £70,000 IT Security Consultant: £35,000 - £60,000 Privacy Analyst: £30,000 - £55,000 Policy Advisor: £32,000 - £50,000 Prerequisites This GDPR UK Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This GDPR UK Training 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. Course Curriculum Module 01: The Purpose and Principles of the UK GDPR The Purpose and Principles of the UK GDPR 00:11:00 Module 02: The Legal Foundations of GDPR The Legal Foundations of GDPR 00:12:00 Module 03: The Governance of GDPR The Governance of GDPR 00:12:00 Module 04: Protecting Personal Data Protecting Personal Data 00:13:00 Module 05: Exemptions to GDPR Exemptions to GDPR 00:12:00 Module 06: International Transactions and National Security International Transactions and National Security 00:12:00

This course is for people calculating data value. It does not assume a deep knowledge of maths or statistics. You will be guided through a series of techniques to get an understanding of where your company is losing money due to poor data.

Explore the world of organized information management with the 'Document Control and Workflow Management' course. This expertly designed programme begins with an introduction that provides a preview of the comprehensive content covered. Ideal for professionals seeking to enhance their skills in managing both hard and soft copy documents, the course offers a deep dive into the standards and practices that govern document control. As you progress, you'll encounter modules dedicated to ISO standards, compliance, and governance, ensuring you're equipped with the knowledge to maintain high-quality document management systems. The course intricately guides learners through the complexities of hard copy document management before transitioning to the nuances of handling digital documents. Understanding the workflow of document drawing and distribution is crucial in this digital age, and this course addresses these needs precisely. Additionally, the importance of folder structure management is highlighted, a skill often overlooked but vital for efficient information retrieval. The final modules delve into document numbering, revision schema, and metadata, rounding out your education with technical specifics that are essential in today's information-rich work environments. Learning Outcomes Gain an understanding of ISO standards, compliance, and governance in document control. Develop skills in managing both hard and soft copy documents efficiently. Learn the intricacies of document drawing workflow and effective distribution. Understand the importance and techniques of folder structure management. Master the art of document numbering, revision schemes, and metadata handling. Why choose this Document Control and Workflow Management course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Document Control and Workflow Management course for? Professionals in administrative and document control roles. Individuals aspiring to work in compliance and governance sectors. Office managers seeking to improve document workflow efficiency. IT professionals involved in digital document management. Anyone interested in enhancing their document control skills. Career path Document Control Specialist: £25,000 - £40,000 Compliance Officer: £30,000 - £50,000 Information Manager: £28,000 - £45,000 Data Governance Analyst: £32,000 - £55,000 Administrative Manager: £27,000 - £42,000 Workflow Coordinator: £26,000 - £40,000 Prerequisites This Document Control and Workflow Management does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Course Curriculum Document Control and Workflow Management Module 01: Introduction to the contents of course- preview 00:02:00 Module 02: ISO Standard, compliance and Governance 00:11:00 Module 03: Hard Copy Document Management 00:08:00 Module 04: Soft Copy Document Management 00:08:00 Module 05: Document Drawing WorkFlow 00:08:00 Module 06: Document Distribution 00:07:00 Module 07: Importance of Folder Structure Management 00:07:00 Module 08: Document Numbering, Revision Schema, Metada 00:06:00 Assignment Assignment - Document Control and Workflow Management 00:00:00

This session is part four in our series on Internal Audit Focus and Emerging Risks for 2021 and Beyond. The world has changed. 2020 was an unprecedented year for all professions. Internal auditors were faced with a tremendous impact to their audit plans causing refocus and realignment of not just projects but resources. As a profession, internal auditors have traditionally focused on past events or as some would say, taking the look in the rear-view mirror. Most financial or accounting professionals can look at previous year data and tell management where past mistakes were made. With the evolving landscape, risks and economy that have been spurred on by the pandemic of 2021, internal auditors must look to stretch their skills to areas that are most valued by their organizations. Today's insight may well be tomorrow's hindsight. Part one of the series evaluated three core categories that impact the “Hot Topic” areas for internal auditors to focus on in the future. These included: Heightened Focus on Organizational Resilience Elevated Macro Environment Uncertainty Humanization vs. Dehumanization of the Workforce After reviewing these areas, we will then link them to “Hot Spot” topics as identified by the Gartner group that internal audit should be attuned to in 2021 and years forward. In session one we delved into the topics of IT Governance and Data Governance. Within Part Two of the series, we examined: Cyber Vulnerabilities Business Continuity Disaster Recovery Talent Resilience Corporate Social Responsibility Within Part Three of the series, we examined: Third-Party management Supply Chain management Data and Analytics Learning Objectives Explore Risk Management and Culture. Explore and examine risk management and culture and evaluate methods internal audit can use to evaluate their organizational processes. Identify and examine workforce management and workplace audit concepts and evaluate methods internal audit can use to evaluate their organizational processes. Recognize and examine corporate financial management concepts and evaluate methods internal audit can use to evaluate their organizational processes. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction and Overview Introduction to Internal Audit Emerging Risks for 2021 and Beyond - Part 4 00:09:00 Continuous Play Risk Culture 00:11:00 Challenges 00:11:00 Workforce Management and Workplace Audit 00:07:00 Workforce Management and Workplace Audit Cont'd 00:13:00 Corporate Financial Management 00:09:00 Summary 00:04:00 Supplementary Resources Supplementary Resources - Internal Audit Emerging Risks for 2021 and Beyond - Part 4 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Perhaps you are working on a digital transformation project or AI and whenever this phrase pops up you’re not clear what it means for you. How do you know if you are data literate? Who in your organisation needs to be data literate? Why does it matter? Get up to speed with this 90 minute introductory training which focuses on the key principles of data literacy so you can apply them in your day to day work.

Do you need a qualification in data protection or are you thinking about learning more about data protection for your organisation? The BCS Foundation Certificate in Data Protection designed for those who need to have an understanding of data protection, and the GDPR in particular, to do their job and knowledge of data protection law would be effective in their role.

Level 3 QLS Endorsed Course | CPD Accredited | Free PDF Certificate | Audio Visual Training | Lifetime Access

Gain a comprehensive understanding of GDPR compliance in healthcare with our GDPR for Health and Social Care course. Learn to handle personal data securely and uphold patient confidentiality while meeting legal requirements. Ideal for healthcare and social care providers, this course covers GDPR essentials, data security awareness, and more.

Learn the key GDPR principles and favour your healthcare services ensuring data security by joining the highly effective Healthcare GDPR course. The comprehensive Healthcare GDPR course aims to set you up with sheer proficiency in attempting GDPR practices and make you step ahead in your career goals. In the course, you'll learn about managing data and framing under GDPR, data protection, different community-based health service, electronic equipment for faster and effective data management and computer security breaches. You'll also get an idea of sanctioning with the new GDPR guidelines upon successfully attending the course. Make sure your GDPR practices are done both effectively and essentially by enrolling today! Learning outcomes Understand the GDPR principles adequately Discover the benefits of data management with GDPR Learn how to manage and frame data considering storage limitation Acquire the ability to maintain the integrity and confidentiality of public data Know how to handle the storage limitation while using tools Be able to deal with data minimisation Become skilled accountability and transparency in regards to public data Gain the knowledge to protect data from web breaches Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £69. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is This Course for? This course is for any individual who intends to learn all the required aspects of GDPR and wish to boost their career opportunities in this promising healthcare framework, including the relevant job sector. Requirements The Healthcare GDPR is open to all students and has no formal entry requirements. To study the Healthcare GDPR, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path This course is intended to give individuals the knowledge of GDPR. Therefore, it is ideally suited to the following roles and careers:  GDPR Administrator Data Protection Officer Internal Data Governance Consultant Business Analyst Data Protection Manager Data Privacy Consultant Compliance Manager/ Data Compliance Manager Data Architect HR Governance & Regulation Manager Senior Finance and Operations assistance Senior Project Manager Information Governance officer HR administrator Commercial Data Protection Solicitor Course Content Module 01: Introduction to GDPR Introduction to GDPR 00:26:00 Module 02: GDPR and Healthcare Setting GDPR and Healthcare Setting 00:20:00 Module 03: General Data Protection Regulations Explained General Data Protection Regulations Explained 00:16:00 Module 04: Lawful Basis for Preparation Lawful Basis for Preparation 00:30:00 Module 05: Responsibilities and Obligations Responsibilities and Obligations 00:33:00 Module 06: Electronic Medical Records Electronic Medical Records 00:19:00 Module 07: Rights and Breaches Rights and Breaches 00:13:00 Assignment Assignment - Healthcare GDPR 6 days, 3 hours Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm