5854 Assistant courses

Unlock the secrets to optimal oral health with our comprehensive Dental Care & Hygiene course. From mastering the fundamentals of dental anatomy to exploring advanced methods of oral care and understanding dentures, this course is your definitive guide to maintaining a radiant smile and overall dental well-being.

Dive into the world of marketing with our Basics of Marketing course. From sales fundamentals to future trends, enhance your skills in sales team management, market understanding, and sales-marketing alignment. Perfect for budding marketers and sales professionals.

This course teaches you how to win more sales and influence customers to purchase your products or services.

You will learn how to advertise your product or service on Facebook, Instagram, YouTube, and Twitter at the end of the course. At the same time, you will learn how to create brand awareness and increase customer loyalty.

Embark on a journey to excellence in care with our Care Certificate Training course. Master vital care standards, from understanding your role and personal development to safeguarding and infection control. Essential for healthcare professionals committed to quality care.

Differential Diagnosis of Neck Pain Aims to  Welcome to our webinar on "Differential Diagnosis of the Neck"! The neck is a complex region of the body that houses numerous vital structures, including the spinal cord, blood vessels, and the thyroid gland. Neck pain and other symptoms can arise from a variety of causes, ranging from benign conditions to serious medical emergencies. In this webinar, we will explore the differential diagnosis of neck disorders, including common and uncommon causes of neck pain, stiffness, and other symptoms. We will discuss various diagnostic approaches and tools that can be used to differentiate between these conditions, as well as the importance of accurate diagnosis and appropriate treatment. Whether you are a healthcare professional or someone dealing with neck issues, this webinar will provide valuable insights into the differential diagnosis of the neck. Learning Objective Identify and Differentiate Causes: After completing this webinar, participants will be able to identify and differentiate between common and uncommon causes of neck pain, stiffness, and other related symptoms. This knowledge will assist in accurate diagnosis and treatment planning. Discuss Diagnostic Approaches: Participants will learn about various diagnostic approaches and tools used in clinical practice to accurately diagnose neck disorders. They will gain insights into the latest diagnostic methods and technologies that can aid in making precise assessments. Emphasize Accurate Diagnosis: The course will stress the importance of accurate diagnosis and its direct impact on patient outcomes for neck disorders. Participants will understand how precise diagnosis can lead to more effective treatment strategies and better overall patient care. Who Should Enroll Physiotherapist Occupational Therapist COTA CPD Credit Hours Duration: Approx 1 hour Resources 1 month Access to Learning Resources Downloadable Course Material CPD Certificate Author Dr. Rina Pandya Dr Rina Pandya PT DPT Course Instructor Dr. Rina’s physical therapy career spans over 23 years, through the UK, the USA and the Middle East. She has worked in Nationalized Healthcare Services, American health care and self pay services in acute care, in-patient rehab, skilled nursing facility, home healthcare and outpatient clinic. In addition to being a clinician she has developed specialty programs based on evidence-based practice in her role as a project manager. She has also managed the Physical Therapy department in the capacity of Head of Department in a premier private hospital in Oman. Rina is an internationally published webinar presenter; many of her courses are highlighted on Physiopedia/ Physio Plus. Her pocket books are now available on Amazon titled-- Orthopedic Assessments made easy Dr. Pandya graduated from Manipal University, India in 2000 as well as University of Michigan, in 2018 with a Doctor of Physical Therapy. Rina conducts live webinars and is part of the continuing professional development teaching community with courses published in the UK, US, South Africa, Ireland and Australia. Rina is a member of APTA, HCPC-UK and OAP-Oman. 

Duration 1 Days 6 CPD hours This course is intended for This course is designed for all levels of experience in using Microsoft Project, as well as all levels of experience in project management. In particular, this course is designed for persons who need to author Microsoft Project work schedules including Project Managers and Project Assistants. Overview To be properly introduced, or reintroduced, to Microsoft Project. To gain an understanding of a proven mindset Microsoft Project users should possess each time they open and work Microsoft Project schedules. To gain an understanding of globally accepted project management principles. To be able to effectively apply Microsoft Project into the Initiation and Planning phases of a normal project life cycle. MS Project: Project Initiation and Planning (part 1 of a 3 part series) course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects. MS Project: Project Initiation and Planning (part 1 of a 3 part series) course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for all levels of experience in using Microsoft Project, as well as all levels of experience in project management. In particular, this course is designed for persons who need to author Microsoft Project work schedules including Project Managers and Project Assistants, and for management personnel in charge of setting standards for baselining and tracking project data. Overview To gain an understanding of a proven mindset Microsoft Project users should possess each time they open and work Microsoft Project schedules. To gain an understanding of globally accepted project management principles. To be able to effectively apply Microsoft Project into the Execution phase of a normal project life cycle. To gain an understanding of Microsoft Project's baseline capabilities in preparation for analysis and reporting of project data. MS Project: Project Validation, Baseline, and Tracking using Microsoft Project course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects. MS Project: Project Validation, Baseline, and Tracking using Microsoft Project course provides proven tools and techniques for successfully using Microsoft Project to assist with managing projects.

Duration 2.25 Days 13.5 CPD hours This course is intended for The job roles best suited to the material in this course are: sales personnel, accountants, administrators, auditors, lab assistants, office job positions. Overview Work with functions. Work with lists. Analyze data. Visualize data with charts. Use PivotTables and PivotCharts. Work with multiple worksheets and workbooks. Share and protect workbooks. Automate workbook functionality. Use Lookup functions and formula auditing. Forecast data. Create sparklines and map data This course provides the knowledge to create advanced workbooks and worksheets that can deepen the understanding of organizational intelligence. The ability to analyze massive amounts of data, extract actionable information from it and present that information to decision makers. In addition this course will give you the ability to collaborate with colleagues, automate complex or repetitive tasks and use conditional logic to construct and apply elaborate formulas and functions which will allow you to work through a lot of data and generate the answers that your organisation needs. WORKING WITH FUNCTIONS Topic A: Work with Ranges Topic B: Use Specialized Functions Topic C: Work with Logical Functions Topic D: Work with Date and Time Functions Topic E: Work with Text Functions WORKING WITH LISTS Topic A: Sort Data Topic B: Filter Data Topic C: Query Data with Database Functions Topic D: Outline and Subtotal Data ANALYZING DATA Topic A: Create and Modify Tables Topic B: Apply Intermediate Conditional Formatting Topic C: Apply Advanced Conditional Formatting VISUALIZING DATA WITH CHARTS Topic A: Create Charts Topic B: Modify and Format Charts Topic C: Use Advanced Chart Features USING PIVOTTABLES AND PIVOTCHARTS Topic A: Create a PivotTable Topic B: Analyze PivotTable Data Topic C: Present Data with PivotCharts Topic D: Filter Data by Using Timelines and Slicers WORKING WITH MULTIPLE WORKSHEETS AND WORKBOOKS Topic A: Use Links and External References Topic B: Use 3-D References Topic C: Consolidate Data SHARING AND PROTECTING WORKBOOKS Topic A: Collaborate on a Workbook Topic B: Protect Worksheets and Workbooks AUTOMATING WORKBOOK FUNCTIONALITY Topic A: Apply Data Validation Topic B: Search for Invalid Data and Formulas with Errors Topic C: Work with Macros USING LOOKUP FUNCTIONS AND FORMULAS AUDITING Topic A: Use Lookup Functions Topic B: Trace Cells Topic C: Watch and Evaluate Formulas FORECASTING DATA Topic A: Determine Potential Outcomes Using Data Tables Topic B: Determine Potential Outcomes Using Scenarios Topic C: Use the Goal Seek Feature Topic D: Forecast Data Trends CREATING SPARKLINES AND MAPPING DATA Topic A: Create Sparklines Topic B: Map Data

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.