663 Courses in Liverpool delivered Live Online

Recruiting Talent and Termination Procedure Course Overview: This comprehensive course on "Recruiting Talent and Termination Procedure" provides an in-depth understanding of the recruitment process, effective interviewing methods, and employee termination procedures. Learners will explore a wide range of topics, from creating effective recruitment strategies to managing employee terminations in a legal and ethical manner. The course offers practical value by equipping learners with the necessary knowledge and skills to excel in HR roles and manage critical HR processes. On completion, learners will be prepared to contribute effectively to recruitment and employee management within an organisation. Course Description: This course covers the entire recruitment lifecycle, including the development of recruitment models, selection methods, and the nuances of human resource management. Key topics include virtual interviewing techniques, employee on-boarding strategies, and the legal and procedural aspects of employee termination. Through a structured learning experience, learners will develop skills in recruitment planning, interview preparation, and managing the complexities of terminating employment. With a focus on the latest HR practices, the course ensures learners are prepared to handle recruitment and termination tasks with professionalism and confidence. Recruiting Talent and Termination Procedure Curriculum: Module 01: Introduction to Recruitment Process Model Module 02: Recruitment Methods Module 03: Human Resource Management Module 04: Key Skills and Issues in Recruitment Function Module 05: Virtual Interviewing Module 06: Employee On-Boarding Module 07: Introduction to The Employee Termination Module 08: The Employee Termination Procedure Module 09: Employee Termination Letter and Guide (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of recruitment and employee management. Professionals aiming to advance their career in HR or recruitment. Beginners with an interest in human resource management. HR practitioners seeking to update their skills in recruitment and termination processes. Career Path: HR Manager Recruitment Consultant Talent Acquisition Specialist Employee Relations Officer HR Coordinator HR Director

GRE Preparation - Verbal and Analytical Writing Course Overview: This course is designed to help learners prepare effectively for the GRE Verbal and Analytical Writing sections. Focusing on the key skills required for success in these areas, it equips learners with proven strategies to excel. By covering all aspects of verbal reasoning, reading comprehension, text completions, sentence equivalence, and analytical writing, the course provides in-depth preparation that leads to improved performance. Learners will develop their ability to analyse complex texts, improve their vocabulary, and refine their writing skills, essential for achieving a competitive GRE score. Course Description: The GRE Preparation - Verbal and Analytical Writing course provides comprehensive coverage of the verbal reasoning and writing sections of the GRE. It includes lessons on reading comprehension, the six critical question types, pivotal words, sentence structure, and writing techniques. The course utilises a variety of methods to strengthen analytical thinking, reading skills, and writing proficiency. Learners will acquire the tools to tackle both the Verbal and Analytical Writing sections effectively. Through structured content and engaging exercises, this course builds confidence and prepares individuals for the GRE with focused skill-building and practice. GRE Preparation - Verbal and Analytical Writing Curriculum: Module 01: Verbal Section – Orientation Module 02: Reading Comprehension Introduction Module 03: The Six Questions Module 04: Pivotal Words Module 05: The Three-Step Method Module 06: Text Completions Module 07: Sentence Equivalence Module 08: Writing (See full curriculum) Who is this course for? Individuals seeking to enhance their GRE score Professionals aiming to pursue graduate studies Beginners with an interest in GRE preparation Anyone looking to strengthen their verbal and writing skills for graduate-level tests Career Path Graduate school applicants Research assistants Academic advisors Educational consultants Policy analysts

Look at some of the more advanced planning features available in Project. Course overview Duration: 1 day (6.5 hours) Our Project – Advanced Planning and Control course looks at advanced planning and resourcing techniques in Microsoft Project and how to customise your schedule to give better visibility and flexibility. The course is designed for experienced users of Project who have attended our Project Planning and Control introduction course or have equivalent knowledge. You must be confident using Project to build and resource schedules and create task dependencies. Objectives  By the end of the course you will be able to: Work with different types of task Amend resource load on a task Work with multiple resource rates Create custom tables Add custom fields Create calculated fields Add drop down lists in fields Filter and extract information Create new views Export information Content Advanced planning techniques Splitting tasks Task types Spreading work across activities Advanced resourcing techniques Resource types Assignment views Effective dates Work contours Overtime work Using multiple resource rates Creating custom tables Customising tables Adding fields Creating custom fields Adding text, number, date and time fields Using flag fields Defining pick lists Renaming custom fields Creating calculated fields Creating formulas Using graphical indicators Uploading and tracking progress Completing work Completing work per resource Updating tasks Updating the project Working with the status date Rescheduling work Viewing baseline against schedule Project overview statistics Working with filters Building standard filters Building interactive filters Task and resource filters Using highlight filters Creating custom views Creating customised views Customising text styles Using grouping techniques Exporting information Exporting to Excel

Learn how to create a supportive and open environment for mental health and wellbeing at work, helping everyone thrive and perform at their best.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Essential self-care for helping professionals New research gives us practical ways to prevent overwhelm or burnout in ourselves and others, manage workplace stress, avoid ‘compassion fatigue’ and much more… Accredited CPD Certificate: 6 hours Length: 1 day (9.15am - 4.00pm GMT) Really interesting and engaging online course with lots of tips to support ourselves and our clientsCOMPLEMENTARY THERAPIST Live Online Training – Join Emily Gajewski on Thursday 11th April 2024 to take some important time out for yourself, or to help those you support. Once you’ve booked your place we will email you confirmation and you will receive details of how to join the Zoom workshop the day before the event. Bonus Recording – the training is recorded, in case anyone experiences technical difficulties on the day, so you will also get a recording for a limited time afterwards to maximise your learning. Can’t make this date? Then please register your interest below – and we’ll email you when a new date is available. To help others effectively, we need to have enough ‘spare capacity’, which means looking after our own wellbeing too – new research shows us how… Why you should take this course When our day-to-day jobs involve continually listening to other people’s emotional difficulties, how do we avoid being overwhelmed by them ourselves or succumbing to compassion fatigue? We are the ‘tool’ of our trade. It could be argued that we have a duty to those we work with to prioritise our own mental health and wellbeing so that we can give them the best possible service. This live online training events shows you how. ‘Burnout’ is commonly defined as a physical and emotional state caused by excessive or overwhelming workplace stress. This is often specifically related to work but of course feelings of burnout can be impacted or compounded by other life events and caring roles too. Even if we know good stress management techniques, this often isn’t enough. Burnout is a very common phenomena in the ‘helping professions’, A 2018 research review paper published in the Journal of Clinical Psychology analysed 30 years of research on this topic, involving 9,000 psychotherapists. Over half of the therapists they sampled reported “moderate-high levels of stress and burnout”. The good news is that burnout, overwhelm and empathy fatigue are not a given of working in roles where we are consistently exposed to others’ emotional pain. New research and insights into ‘buffering’ the impact of this work mean that we can consciously choose to put in safeguards to our own mental wellbeing, whilst also remaining connected and present with our clients. Emily Gajewski’s online course draws on her extensive experience of working as a therapist and clinical supervisor, in the NHS and privately, for over 20 years. Throughout the day she examines the many ways working in the caring professions can impact us personally and gives you a wealth of practical steps you can take to mitigate them. She also covers the most up-to-date guidance on keeping ourselves well and thriving in caring roles and will help you develop a realistic plan for your own continuing wellbeing. Excellent online training…. very insightful and thought provokingHILARY KEARNS, ACUPUNCTURIST What you will learn The latest research on how to prevent burnout in your working life How to identify burnout in ourselves and others – the warning signs you need to look out for Easy, practical steps to protect yourself in stressful work situations How to avoid ‘compassion fatigue’ Evidence based ‘top tips’ for optimal working practices to maintain your own wellbeing The Cycle of Stress – how to ‘work with it’ for optimal health An understanding of vicarious trauma – and how to avoid it Techniques to calm yourself in client sessions when you are ‘triggered’ by something they bring up Understanding the difference between compassion fatigue and empathy fatigue Reducing your own risk of depression when you’re worried about your clients The joy of creating ‘flow’ in our working life Constructive ways to manage difficult feelings that arise as a result of your work Practical techniques for grounding and ‘letting go’ of clients How to safely explore our own areas of vulnerability Useful tips for ongoing stress management What you need to maintain your own mental health How to re-ground yourself if you’re feeling overwhelmed or derailed by a client An opportunity for you to reflect on your own practice and wellbeing, take some time to step back, learn what works for you and how you can create more spare capacity Time to relax, try out techniques and refresh your tools to support your wellbeing and build resilience How to utilise what you’ve learnt to create your own realistic wellbeing plan. Very useful and practical. The term ‘burnout’ is become as over-used as ‘wellbeing’ and ‘stress’. This online course provides clarity on what the term ‘burnout’ means in reality ... with strategies to counter the effectsHEADTEACHER SUPPORT SERVICE COUNSELLOR Course Programme The ‘How to avoid burnout’ live online course starts at 9.15am and runs until 4.00pm. (GMT). 9.15am Join the Zoom meeting 9.30am Understanding Burnout and how to halt the journey towards it 11.00am Comfort break and discussion 11.30am Exploring practical self-care steps that can work for YOU! 1.00pm Lunch break 1.45pm How to manage difficult feelings that arise as a result of our work 2.45pm Comfort break and discussion 3.00pm Creating a plan for your own wellbeing 4.00pm Day ends Who this workshop is suitable for Anyone who works within a role that involves caring for others – including: medical professionals – including GPs and nurses health and social care professionals therapists and mental health workers counsellors educators, teachers professional carers (foster carers and non-paid carers) social workers occupational therapists outreach workers volunteers holistic practitioners etc. This course has been independently accredited by the internationally recognised CPD Standards Office for 6 hours of CPD training. On completion of this training you’ll receive CPD certificates from the College and the CPD Standards Office.

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

Hospitality - Concierge Course Overview: This comprehensive course on Concierge Services equips learners with the essential skills and knowledge required to excel in the hospitality industry. Covering a range of concierge services, from customer care to handling emergency situations, it offers valuable insights into the role of a concierge within various service sectors. Learners will gain a thorough understanding of the necessary skills and principles to provide high-quality service, helping them build a solid foundation for a career in hospitality. By the end of the course, learners will have developed the competencies needed to operate efficiently and professionally within the dynamic environment of hotel and hospitality services. Course Description: The "Hospitality - Concierge" course provides a thorough exploration of the concierge service industry. It covers essential topics, including the various types of services offered by concierges, the required skills for success, and key principles for running a concierge service business. Learners will gain a deep understanding of customer service and the etiquettes required in a professional concierge environment. The course also prepares learners for managing emergency situations in the hospitality industry, ensuring they are well-equipped to handle any challenges that may arise. By completing this course, learners will be prepared for roles in customer service, hotel management, and other areas within hospitality, ensuring a high standard of service in their future careers. Hospitality - Concierge Curriculum: Module 01: Understanding the Service Module 02: Types of Concierge Services Module 03: Necessary Skills for Any Concierge Module 04: Principles for a Concierge Service Business Module 05: Delivering Customer Service Module 06: Concierge Work Environment and Etiquettes Module 07: Emergency Measures for a Hotel Concierge (See full curriculum) Who is this course for? Individuals seeking to start a career in hospitality. Professionals aiming to develop customer service and management skills. Beginners with an interest in concierge services or hotel management. Anyone looking to enhance their understanding of the hospitality sector. Career Path: Hotel Concierge Hospitality Customer Service Representative Front Desk Supervisor Concierge Manager Event Coordinator Travel and Tourism Industry Professional

Marketing Secrets for High Sales Course Overview "Marketing Secrets for High Sales" is a dynamic course designed to equip learners with advanced strategies for driving sales success. Throughout the course, participants will explore cutting-edge marketing techniques, tools, and insights that have proven effective in boosting sales across various industries. By the end of the course, learners will understand how to craft compelling marketing strategies, leverage customer psychology, and implement tactics that consistently lead to high sales conversions. The course is structured to provide learners with both the theoretical knowledge and actionable skills needed to excel in a competitive market. Course Description This course delves into a wide range of topics including sales funnel optimisation, creating persuasive marketing messages, targeting the right audience, and leveraging digital platforms for maximum impact. Learners will explore the intricacies of consumer behaviour, the role of brand positioning, and the importance of data-driven decision-making. By engaging with the course materials, participants will gain in-depth insights into the strategies that fuel high sales numbers and discover how to adapt these methods to suit their unique business goals. The course is designed to offer a structured learning experience, ensuring that all essential concepts are covered and applicable to real-world scenarios. Marketing Secrets for High Sales Curriculum Module 01: Understanding Sales Psychology Module 02: Crafting Compelling Marketing Campaigns Module 03: Leveraging Social Media for High Sales Module 04: Data-Driven Marketing Techniques Module 05: Email Marketing for Conversion Optimisation Module 06: Building Brand Loyalty to Drive Long-Term Sales Module 07: Advanced Sales Funnel Strategies (See full curriculum) Who is this course for? Individuals seeking to enhance their marketing knowledge and skills. Professionals aiming to boost their sales strategies and performance. Beginners with an interest in learning the principles of high sales. Entrepreneurs and business owners looking to optimise their marketing efforts. Career Path Marketing Manager Sales Director Digital Marketing Specialist Brand Strategist Sales Consultant

Sterile Compounding Preparations Course Overview: This Sterile Compounding Preparations course offers in-depth training on the procedures and techniques required for preparing sterile compounds. Covering essential topics such as universal precautions, the proper use of the Laminar Air Flow Hood (LAF), and the critical role of pharmacy math in compounding, the course provides learners with the foundational knowledge to excel in this specialised field. Emphasising safety, precision, and regulatory compliance, the course ensures that participants are equipped with the necessary skills to meet industry standards. Upon completion, learners will gain confidence in performing sterile compounding tasks and understanding the necessary processes, setting them on the path to a successful career in pharmaceutical preparation. Course Description: This comprehensive course dives deep into the science and procedures behind sterile compounding. Learners will explore critical topics such as universal precautions and the operation of the Laminar Air Flow Hood (LAF), understanding their role in preventing contamination. The course also covers the essential pharmacy math skills required for accurate measurements and compounding. A review of the entire sterile compounding process is included to reinforce the concepts taught throughout the course. Students will gain the knowledge and confidence to apply these practices in real-world settings, enhancing their ability to contribute to the pharmaceutical industry. This course is designed for those looking to specialise in sterile compounding and gain an essential understanding of the industry protocols and safety measures involved. Sterile Compounding Preparations Curriculum Module 01: Introduction Module 02: Universal Precautions Module 03: The Laminar Air Flow Hood (LAF) - 3 Lectures Module 04: Sterile Compounding Pharmaceuticals Demonstrations Module 05: Compounding Pharmacy Math BONUS: REVIEW OF THE STERILE COMPOUNDING PROCESS (See full curriculum) Who is this course for? Individuals seeking to specialise in pharmaceutical compounding. Professionals aiming to advance their skills in sterile compounding. Beginners with an interest in pharmaceutical preparation and safety. Pharmacy technicians or assistants looking to enhance their expertise. Career Path: Sterile Compounding Technician Pharmacy Technician in sterile compounding settings Pharmaceutical Manufacturing Specialist Healthcare Practitioner in clinical settings requiring compounding Pharmaceutical Researcher