345 Shadow courses in Liverpool delivered Online

Delve into the fascinating world of medical laboratory science and clinical chemistry with a course tailored for those eager to explore the processes behind diagnostic testing and biochemical analysis. This online course is designed to introduce learners to the principles of laboratory operations, quality assurance, and the interpretation of clinical data—all from a structured, theory-based perspective. Whether you're starting out or expanding your understanding of this vital healthcare sector, this course provides clarity on the methods used to assess bodily fluids, monitor patient health, and support accurate medical decision-making. Learners will gain insight into the core topics of clinical chemistry, including enzymology, electrolyte balance, and metabolic profiling. With a focus on scientific accuracy and regulatory awareness, the content is thoughtfully arranged to offer a strong academic foundation for anyone interested in pursuing knowledge in laboratory-based disciplines. This course suits those who appreciate analytical detail and are curious about the scientific reasoning behind medical diagnostics—without needing to attend a lab in person. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Laboratory Technician Module 02: Medical Laboratory Services Module 03: Laboratory Equipment and Instrumentation Module 04: Microscopy Techniques and Applications Module 05: Clinical Chemistry Analysis Module 06: Haematology and Haemostasis Module 07: Immunology and Immunohaematology Module 08: Urinalysis and Body Fluid Analysis Module 09: Clinical Microbiology Module 10: Parasitology and Mycology Module 11: Laboratory Safety and Biohazard Management Module 12: Quality Assurance and Laboratory Accreditation Module 13: Laboratory Information Management Systems (LIMS) Learning Outcomes: Analyse clinical chemistry data to support medical diagnoses. Perform haematological and haemostasis tests accurately and efficiently. Apply immunological techniques in laboratory settings for diagnostic purposes. Demonstrate proficiency in microscopy techniques and their diverse applications. Execute precise urinalysis and body fluid analyses for diagnostic insights. Employ microbiological techniques to identify and manage infectious diseases. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring laboratory technicians Healthcare professionals seeking advanced skills Individuals aiming for a career in clinical chemistry Science graduates interested in medical laboratory services Current laboratory staff looking to enhance their expertise Those pursuing roles in immunology and haematology Microbiology enthusiasts keen on diagnostic applications Individuals passionate about quality assurance in healthcare. Career path Medical Laboratory Technician Clinical Scientist (Clinical Chemistry) Haematology Specialist Immunology Laboratory Analyst Microbiology Technician Quality Assurance Officer in Healthcare. Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Navigating the fast-paced world of day trading can feel like chasing shadows—one moment the charts are climbing, the next they’re nosediving. This course is designed to bring clarity to the chaos. Whether you’re curious about candlestick patterns or trying to decipher the rhythm of market movements, this beginner-friendly guide is your shortcut to understanding the essentials. You’ll explore how to interpret price action, manage risks sensibly, and recognise trends that matter—all explained in plain English, without the noise. There’s no secret formula here—just smart strategies, grounded in logic and tested over time. From setting up a basic trading plan to understanding the psychology behind buy-and-sell decisions, this course lays out everything in a structured, no-fluff format. Ideal for aspiring traders who want to cut through the jargon and gain real insight into how day trading ticks. You won’t need a finance degree or a second monitor—just curiosity, consistency, and an internet connection. By the end of this course, you will be able to: Understand the basics of day trading, including terminology and trading tools Perform analysis and read charts to identify profitable trades Manage risk and control emotions while day trading Develop a trading plan and execute trades Use trading simulators to practice and refine your trading skills Stock Market Day Trading Strategies for Beginners is an ideal course for individuals who want to learn how to day trade in the stock market. The course starts with an introduction to day trading and the basics of day trading, including terminology and trading tools. You will learn about chart analysis and technical indicators to identify profitable trades. The course covers trading psychology, including risk management and emotional control, to help you navigate the stressful and volatile world of day trading. Additionally, you will learn how to develop a plan and execute trades, including using stop-loss orders and profit targets. The course includes a section on trading practice, which covers the use of trading simulators to practice and refine your trading skills. You will also learn how to evaluate and improve your trading strategy based on your trading results. How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Here are some potential career paths and expected salaries for individuals who have a solid understanding of day trading: Day Trader: £50,000 - £100,000+ per year Proprietary Trader: £100,000 - £500,000+ per year Hedge Fund Trader: £100,000 - £1,000,000+ per year Financial Analyst: £30,000 - £70,000 per year (with day trading skills as an added bonus) Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

The Animation for Beginners Course is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This Animation for Beginners Course consists of several modules that take around 5 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion PDF Certificate at £9.99. Print copy by post is also available at an additional cost of £15.99 and the same for PDF and printed transcripts.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who want to improve their phone skills. Overview Upon successful completion of this course, students will be more confident in handling the phone, resulting in new customers while retaining current clientele. In this course, students will learn about different types of calls and the etiquette associated with them. Getting Started Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan Aspects of Phone Etiquette Phrasing Tone of Voice Speaking Clearly Listen to the Caller Case Study Using Proper Phone Language Please and Thank You Do Not Use Slang Avoid Using the Term ?You? Emphasize What You Can Do, Not What You Can?t Case Study Eliminate Phone Distractions Avoid Eating or Drinking Minimize Multi-Tasking Remove Office Distractions Do Not Let Others Interrupt Case Study Inbound Calls Avoid Long Greeting Messages Introduce Yourself Focus on Their Needs Be Patient Case Study Outbound Calls Be Prepared Identify Yourself and Your Company Give Them the Reason for the Call Keep Caller Information Private Case Study Handling Rude or Angry Callers Stay Calm Listen to the Needs Never Interrupt Identify What You Can Do For Them Handling Interoffice Calls Transferring Calls Placing Callers on Hold Taking Messages End the Conversation Case Study Handling Voicemail Messages Ensure the Voice Mail Has a Proper Greeting Answer Important Messages Right Away Ensure Messages are Delivered to the Right Person When Leaving A Message for Others... Case Study Methods of Training Employees Group Training One-on-One Training Peer Training Job Shadowing Case Study Correcting Poor Telephone Etiquette Screening Calls Employee Evaluations Peer Monitoring Customer Surveys Case Study Wrapping Up Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently