977 Courses in Cardiff delivered Online

Healthcare is a sector where medical knowledge is necessarily in focus. The management system shall take this into account when determining the approaches applied. Knowledge management of the clinical processes is the general approach for operational application of medical knowledge. Maintaining medical knowledge is a requirement related to personal competence for the staff of the organization. Systematic approaches to develop and maintain medical knowledge are requirements related to resource management. – BS EN 15224:2016

Some say history repeats itself. Others say it’s just poorly organised. With this History with Military History Mini Bundle, you’ll get a structured overview of English history, anthropology, and the English constitution—plus a touch of data entry to help keep everything in order. From ancient warfare to the foundations of governance, this bundle draws a clear line between battlefield, ballot box, and bureaucracy. Designed to inform and intrigue, it’s ideal for those interested in history not just as events, but as systems shaped by people, conflict, and legislation. 🟪 Learning Outcomes: Trace historical events and how they shaped national identity. Understand governance through the lens of the English constitution. Explore military events and their long-term societal effects. Learn anthropology’s role in interpreting historical records. Apply data entry to organise historical content and information. Recognise links between law, leadership, and military history. 🟪 Who Is This Course For: History students seeking insight into law and conflict. Writers and bloggers focusing on political or historical content. Museum or heritage centre staff supporting public education. Admins organising historical content in academic settings. Individuals exploring English political and military history. Learners interested in anthropology through historical lenses. Researchers working with legislative and historical timelines. Data entry professionals in history-focused institutions. 🟪 Career Path (UK Average Salaries): Policy Research Assistant – £29,000/year Archive and Records Officer – £26,000/year History Publishing Assistant – £27,000/year Historical Research Coordinator – £30,000/year Educational Programme Officer (Museums) – £28,000/year Data Administrator (Historical Projects) – £25,000/year

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

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Politics will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Politics will help you keep ahead of the pack. The Politics incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Politics will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Politics, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Politics course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Politics Bundle Consists of the following Premium courses: Course 01: Politics Course 02: English Law and Legal System Level 3 Course 03: International Law Course 04: International Development Studies Course 05: International Relations Course 06: Military History Course 07: Commercial Law 2021 Course 08: Certificate in Anti Money Laundering (AML) Course 09: Human Rights Course 10: Public Health Course 11: Media and Public Relations So, enrol now to advance your career! Benefits you'll get choosing Apex Learning: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills 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) Curriculum of Bundle Course 01: Politics Module 01: Introduction to Politics Module 02: Democracy and Participation Module 03: Elections and Referendums Module 04: Political Parties Module 05: Pressure Groups Module 06: The European Union Module 07: The Nature and Sources of The British Constitution Module 08: Parliament Module 09: The Prime Minister and Cabinet Module 10: The Judiciary Module 11: Devolution Module 12: Liberalism Module 13: Conservatism Module 14: Socialism Module 15: Nationalism Module 16: Feminism Module 17: Multiculturalism Module 18: Anarchism Module 19: Ecologism Module 20: The Constitutional Framework of US Government Module 21: The Legislative Branch of Government: Congress Module 22: The Executive Branch of Government: President Module 23: The Judicial Branch of Government Module 24: The Electoral Process and Direct Democracy Module 25: Comparative Approaches Course 02: English Law and Legal System Level 3 Module 01: The Legal Workplace and Professionals Module 02: Law and Legal Systems Module 03: Contract Law & Business Law Module 04: Human Rights Law Module 05: Employment Law Module 06: Property Law Module 07: Mortgage Law Module 08: Wills, Probate & Estate Law Module 09: Criminal Law Module 10: Other Common Laws & Legal Matters Course 03: 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 04: International Development Studies Module 01: Measurement and Morality in International Development Module 02: Governance and Development Module 03: Global Health and Development Module 04: Gender and Development Module 05: Global Poverty, Inequality and Development Module 06: Economic Development Module 07: Environment and Development Module 08: Innovation and Technology Module 09: International Migration and Development Module 10: Theories of Development and Globalisation Module 11: An International Development Actor Course 05: International Relations Module 01: Understanding International Relations Module 02: Historical Context Module 03: Actors in International Relations Module 04: Theories in International Relations I: Realism and Liberalism Module 05: Theories in International Relations II: The Marxist, The Constructivist and The Feminist Tradition Module 06: International Political Economy Module 07: Recent Issues in International Relations Module 08: War Module 09: International Organisation Course 06: Military History Module 1: Introduction to Military History Module 2: Theories of Warfare Module 3: Military Weaponry and Aviation Module 4: Naval Warfare Module 5: Ground Warfare and Military Technology Module 6: The World Wars Module 7: The British Military History Module 8: Leadership and Command in War Course 07: Commercial Law 2021 Module 01: Introduction of Commercial law Module 02: Business Organisations Module 03: International Trade: the Theory, the Institutions, and the Law Module 04: Sales of Goods Law Module 05: Consumer Law and Protection Module 06: E-Commerce Law Module 07: Competition Law Course 08: Certificate in Anti Money Laundering (AML) 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 09: Human Rights Module 1: Basic Concept of Freedom and Human Rights Module 2: Classification of Human Rights Module 3: Women's and Children's Right Module 4: Various Aspects of Freedom Module 5: Various International Human Rights Organisations Course 10: Public Health Module 01: Introduction to Public Health Module 02: Principles of Public Health Module 03: Understanding Epidemiology Module 04: Disease Control Module 05: Understanding Measures of Disease Frequency Module 06: Maternity and Childbirth Module 07: Environment and Public Health Module 08: Health System and Policy Module 09: Public Health and Ethics Course 11: Media and Public Relations Module One: Networking for Success (I) Module Two: Networking For Success (II) Module Three: The Meet and Greet Module Four: Dressing for Success Module Five: Writing Module Six: Setting Goals Module Seven: Media Relations Module Eight: Issues and Crisis Communication Planning Module Nine: Social Media (The PR Toolkit) Module Ten: Employee Communications CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Politics bundle. Requirements This Politics 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 (Politics) 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.

A medical secretary is responsible for ensuring that a doctor's office runs smoothly so that patients receive the best possible care. A medical secretary must understand office organisation and standard procedures to provide this secretarial support. They should also be able to use medical terminologies fluently. This Medical Receptionist and Secretary Diploma course will teach you about the medical secretarial profession and the skills needed to do the job successfully. This course will teach you about the roles and responsibilities of a medical secretary. You will also learn various medical secretary skills, including an effective filing system, medical transcription, medical writing, maintaining medical records, an appointment system, and more. Furthermore, this comprehensive Medical Receptionist and Secretary Diploma course will teach you the critical concepts of patient confidentiality and other legal aspects of the healthcare industry. Learning Outcomes After completing thiscourse, learner will be able to: Understand the fundamentals of the National Health Service. Understand the roles and responsibilities of a medical secretary. Know how to organise schedules and manage appointment systems. Gain a clear understanding of the Law, Ethics and Medicine. Gain a thorough understanding of the effective filing system in medical offices. Familiarise yourself with the concept of patient confidentiality and its dos and don'ts. Become skilled at controlling and ordering stocks and supplies. Gain in-depth knowledge of Medical Terminology and Clinical Aspects. Know the importance of health and safety in the healthcare sector. Have a solid understanding of Complementary Medicine Why Choose Medical Receptionist Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. This Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing this course. **Courses are included in this Medical Receptionist and Secretary Diploma Course Course 01: Medical Receptionist and Secretary Diploma Course 02: Report Writing Course Course 03: Level 4 Time Management Course ***Others Included of Medical Receptionist and Secretary Diploma Course Free 3 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate as soon as completing the course ] Detailed course curriculum of the Medical Receptionist and Secretary Diploma Course: Module 1: The National Health Service History Structure of the NHS The NHS Plan Resource Allocation Delivering Care Mental Health Services Public Health The NHS, the Regions and Devolution Module 2: Patient (Customer) Care The Medical Receptionist Putting Patient First Complaints Within the Health Service The Complaints Procedure Patient and Public Involvement Patient's Rights Access to Health Care Total Quality in Medical Practice Customer Care: Involving Patients and the Public Module 3: Communication Report Writing Electronic Mail & Mobile Phones: Text Messages Telephone Skills People Skills - Face to Face Meeting Performance Review & Counselling The Practice Leaflet & Hospital Information Leaflets Networking Module 4: Law, Ethics and Medicine Medical Ethics and Etiquette Doctor's Duties Patient's Right The Regulatory Bodies and Their Role Legal Aspects Certification Health and Safety at Work Module 5: Health & Safety in a Clinical Environment First Aid at Work Hazardous Substances The NHS National Patient Safety Agency (NPSA) Hepatitis & AIDS Fire Precautions Clinical Risk Management Coping With Aggression & Violence Module 6: Practical Reception Skills in General Practice Record Keeping and General Administration Information Technology Module 7: The Hospital Service The Patient's Route Through the Hospital Outpatient Appointments Admissions from the Waiting List Accident and Emergency Admissions Home From Hospital Support Day Cases and Ward Attendees Hospital Team Clinical Audit Star Ratings What is a Medical Record? Cases Notes Master Index Filing Room or Records Library Medical Records Procedure for Departments Retention of Records Destruction of Medical Records The Role of the Secretary in the Hospital Module 8: Private Medicine Private Clinic or Hospital The Secretary In Private Practice Module 9: Forms, Fees and Finances in General Practises Contracting Finance Practice Income Scotland Wales Northern Ireland Module 10: Using Information Technology Computers in General Practice Electronic Medicine Computers in Hospitals Maintaining Security Module 11: Medical Terminology and Clinical Aspects Pathology and X-ray Examinations Prescribing and Drugs Nurse Prescribing New Developments in Pharmacy Module 12: Audit, Health Economics and Ensuring Quality for the Medical Receptionist and Secretary Audit Health Economics and Cost-effective Medicine Private Finance Initiative Clinical Governance National Institute for Clinical Excellence (NICE) National Clinical Assessment Service (NCAS) National Service Framework (NSF) Patient Surveys Module 13: Complementary Medicine Acupuncture Alexander Technique Aromatherapy Chiropractic Homoeopathy Hydrotherapy Hypnotherapy Osteopathy Reflexology ------------------- ***GIFT Courses: ------------------- ***Report Writing Course*** Module 01: Introduction to Report Writing Module 02: The Basics of Business Report Writing Module 03: The Practical Side of Report Writing (Part-1): Preparation & Planning Module 04: The Practical Side of Report Writing (Part-2): Collecting and Handling Information Module 05: The Practical Side of Report Writing (Part-3): Writing and Revising Report Module 06: The Creative Side of Report Writing (Part -1): A Style Guide to Good Report Writing Module 07: The Creative Side of Report Writing (Part -2): Improving the Presentation of Your Report Module 08: Developing Research Skills Module 09: Developing Creativity & Innovation Module 10: Develop Critical Thinking Skills Module 11: Interpersonal Skill Development ------------------- ***Level 4 Time Management Course*** Module 1: Basics of Time Management Module 2: Prioritise Your Time Module 3: Organise Your Time Module 4: Using Your Time Efficiently Module 5: Time Management in the Workplace Module 6: Time Management For Students Module 7: Time Management Software Module 8: Create a Value-Based Time Management Plan ------------------ Assessment Method After completing each module of the Medical Receptionist and Secretary Diploma, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Medical Receptionist and Secretary Diploma course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Medical Receptionist and Secretary Diploma course is ideal for Health Care Professionals who work and will be working in healthcare settings such as hospitals, clinics, and healthcare facilities. Requirements There are no specific requirements for this Medical Receptionist and Secretary Diploma course because it does not require any advanced knowledge or skills. Students who intend to enrol in this Medical Receptionist and Secretary Diploma course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path After completing this Medical Receptionist and Secretary Diploma, you will have developed a set of skills necessary for career advancement and will be able to pursue a variety of job opportunities, including - Medical Receptionist Medical Secretary Healthcare Administrator GP Receptionist Patient Coordinator Certificates Certificate of completion Digital certificate - Included

Explore the dynamic intersection of Environmental Science and Climate Change in our comprehensive course. Gain a deep understanding of ecosystems, biodiversity, pollution control, sustainable energy, and the profound impacts of climate change. Dive into environmental policy, sustainable resource management, ethics, and lifestyles, equipping yourself to contribute meaningfully to a greener, more resilient future. Join us on a transformative journey toward environmental awareness, scientific knowledge, and actionable solutions.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Project failure is all too common. What are the reasons for it, and how can you stop them?

Introducing GDPR (Data Protection in the Workplace) Online Training Course

**10 FREE QLS Endorsed Certificates and Included with Lifetime Access** In today’s ever-shifting regulatory climate, understanding the rules of engagement is no longer a nice-to-have—it’s essential. This course offers a sharp look into the frameworks that keep organisations steady amidst uncertainty. Whether you're part of a small business or a larger corporate setup, staying ahead of the risks and knowing how to respond when the unexpected knocks is no longer optional. Here, learners gain clarity on the mechanisms that support strong internal oversight, policy awareness, and risk handling—without having to sift through mountains of jargon. The content is thoughtfully structured to walk you through vital concepts step by step, designed with professionals, managers and keen learners in mind. From operational pitfalls to governance essentials, the course breaks down key elements into digestible parts, always with an eye on clarity and relevance. It’s entirely online, meaning you can take charge of your learning on your own schedule—no train fares or seminar buffets required. Whether you're brushing up or starting fresh, it’s a tidy way to boost your know-how and keep your knowledge aligned with industry expectations. Compliance and Risk Management - QLS Endorsed Bundle Includes the following Courses Course 01: Certificate in Compliance and Risk Management at QLS Level 3 Course 02: Diploma in AML, KYC & CDD at QLS Level 4 Course 03: Diploma in Accounting and Finance at QLS Level 5 Course 04: Award in Accounting & Bookkeeping at QLS Level 2 Course 05: Diploma in Business Analyst Training at QLS Level 5 Course 06: Award in Business Finance at QLS Level 2 Course 07: Diploma in Business Law at QLS Level 5 Course 08: Diploma in Financial Reporting at QLS Level 4 Course 09: Diploma in Forex Trading at QLS Level 5 Course 10: Certificate in GDPR Training at QLS Level 3 Learning Outcomes Navigate financial regulations for effective compliance. Execute due diligence processes with precision. Master accounting and bookkeeping principles. Analyse business data for strategic decision-making. Understand the legal framework governing businesses. Communicate financial information transparently. Gain expertise in Forex trading dynamics. Implement GDPR principles for data protection. Develop robust risk management strategies. Apply anti-money laundering measures effectively. Key Features 10 FREE QLS Endorsed Certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases As the heartbeat of successful enterprises, compliance and risk management are the twin pillars that fortify your business against uncertainties and propel it towards prosperity. Immerse yourself in a comprehensive exploration of financial regulations, risk mitigation, and legal frameworks that underpin the business landscape. Navigate the complexities of AML, KYC, and CDD, gaining expertise in financial integrity protocols crucial for safeguarding organisations. Dive into the intricate realms of accounting, finance, and business law, refining your understanding at each QLS level. Our diploma in Business Analyst Training equips you with analytical prowess, essential for strategic decision-making. Acquire knowledge in GDPR compliance, ensuring your ability to navigate the evolving data protection landscape. Whether you aspire to reinforce your current role or transition to a new sector, this bundle is your gateway to a versatile skill set. With courses designed to align with industry demands, you'll stand out in today's competitive job market. Certificate Once you've successfully completed your course, you will immediately be sent a CPD-accredited PDF certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). After successfully completing the assignment, learners will be able to order FREE QLS Endorsed certificate for Each Courses. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals aspiring for financial expertise. Individuals entering the compliance and risk field. Business analysts seeking advanced training. Finance professionals aiming for legal comprehension. Those keen on mastering GDPR regulations. Individuals interested in forex trading. Aspiring accountants and bookkeepers. Professionals aiming for a well-rounded skill set. Career path Compliance Officer Risk Analyst Financial Analyst Business Analyst Forex Trader Legal Consultant Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included Hardcopy Certificate (UK Delivery): For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only £3.99. Hardcopy Certificate (International Delivery): For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. QLS Endorsed Certificate Hard copy certificate - Included