2843 Learning courses in Sheffield delivered Live Online

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

Prerequisite: PECS Level 1 Training This two-day training focuses on creating lessons and activities to promote communication throughout the day. Beginning with a review of the Pyramid Approach to Education as it relates to PECS, we guide you in refining your PECS implementation and discuss current challenges you have experienced within the six phases. As you acquire teaching strategies on expanding vocabulary and syntax combined with new ideas for materials, we will discuss how to increase communication opportunities for your learner. Throughout the training, you will be provided with presenter demonstrations, video examples and opportunities to role-play. With innovative ideas, increased confidence and renewed enthusiasm, you will leave the PECS Level 2 Training ready to move PECS users to more sophisticated levels of communication. WATCH VIDEO WHAT YOU WILL LEARN Identify the six phases of the PECS protocol Analyse common difficulties with PECS implementation Generate solutions to common challenges with implementing PECS Provide communication opportunities across the day in all activities Implement specific strategies for teaching advanced language concepts WORKSHOP DETAILS Agenda: 9:00 AM - 4:30 PM Registration Time: 8:30 AM - 9:00 AM CPD Points: Continued Professional Development Points CEUs: 7.5 BACB CEUs / 7.5 IBAO CEUs. Satisfactory completion of this course requires participants to be present for the duration of the course and to participate in all student responding activities (e.g. questions, role play, quizzes, and surveys). Tuition Includes: detailed handout with space for note taking, delegate practise bag and certificate of attendance. *Participants are encouraged to bring the PECS Training Manual (Frost and Bondy, 2002) that they received at their PECS Level 1 Training, as this workshop may reference some pages in the manual. This course is certified by the CPD certification service (the leading independent CPD accreditation institution) as conforming to continuing professional development principles. All delegates will receive a certificate of attendance detailing eligible CPD hours which can be used as verifiable documentary evidence when submitting CPD recording forms. Pyramid Educational Consultants is an approved BACB ACE Provider for Learning (Type 2) Continuing Education Credits. The BACB does not warrant, endorse, sponsor, approve, or partner with the event, organisation, or instructor. Pyramid Educational Consultants is an approved IBAO Provider for Continuing Education Credits.

This comprehensive one-day course is designed to empower registered healthcare professionals (HCPs) practicing in primary care with the latest advancements and insights in the field of asthma care. Building on the participants' existing expertise, this update day aims to enhance their proficiency in managing asthma effectively and providing the highest level of patient care. Target Audience: Exclusively tailored for registered healthcare professionals already experienced in asthma care within the primary care setting, this course is a unique opportunity for these practitioners to stay current with the latest developments in the field. Course Benefits: This Asthma Update Day is a prime opportunity for seasoned primary care healthcare professionals to deepen their expertise in asthma care. By staying current with the latest developments, practitioners can enhance their ability to provide high-quality, up-to-date patient care. The course encourages interactive learning, networking, and problem-solving, fostering a dynamic and collaborative learning environment. Prerequisites: This course is exclusively designed for registered healthcare professionals already actively practicing in the field of asthma care within the primary care setting. Outcome: Participants will leave the course armed with new insights, strategies, and approaches to further elevate their asthma care practice, ultimately improving patient outcomes and contributing to the advancement of respiratory healthcare within primary care. Asthma Update Day - Learning Objectives · Understanding Asthma Diagnosis Essentials o Gain insight into the latest diagnostic criteria and techniques for asthma. o Discuss the challenges and methods in accurately diagnosing asthma in children.   · Investigative Tests and Guideline Exploration o Review the range of investigative tests available for diagnosing and managing asthma. o Examine the current BTS/NICE & GINA Guidelines and their application in clinical practice.   · Pharmacological Treatments and Inhaler Techniques o Update knowledge on the pharmacology of asthma treatments. o Develop practical skills in various inhaler techniques and understand their importance in patient care.   · Personalised Asthma Management o Understand the factors influencing the choice of inhalers. o Learn to develop and implement Personalised Asthma Action Plans (PAAPs). o Explore SMART/MART therapy and its role in managing asthma.   ·  Managing Asthma Exacerbations o Identify and manage asthma exacerbations effectively. o Discuss strategies for preventing and managing severe asthma episodes.   · Application Through Case Studies o Engage in interactive case studies to apply learning in real-world scenarios. o Encourage the sharing of experiences and best practices among participants.   ·  Conclusion and Future Directions o Summarise key takeaways from the day's sessions. o Discuss future trends and areas for continued professional development in asthma care.   Through the "Asthma Update Day" course, clinicians will leave with an elevated level of confidence and competence, empowered to provide enhanced asthma care and positively influence patient outcomes within the primary care setting.

Introducing the the modality of Non-Violent Communication (NVC), also known as Mindful, or Compassionate Communication, this 2-day modular workshop will explore how we express ourselves and how we hear others - how we can increase our ability to create meaningful connections, both with others and with ourselves, even in disagreement, and how we can empower our clients to do the same within their own relationships.

First Degree Usui Reiki Course This is the first level of Reiki. It is suitable for therapists and laypeople alike – everyone is welcome to come and share the gentle energy. ​It will enable you to connect with the universal energy that exists all around us to help yourself, friends and family, or animals and plant life. If you are interested in using Reiki as a therapy in your practice – then this is the starting point. Individuals wanting to add Reiki to their daily life will benefit highly from this course. This course is comprehensive and detailed.

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Become a professional in the Telecomms industry with our EUSR SHEA Telecommunications Card Training Overview Our Energy Utilities Skills Register Safety Health Environmental Awareness EUSR SHEA Telecommunications Card Training is designed for professionals working in telecommunication-related industries, such as Telephone Exchanges, on the network, customer properties and more. The course equips participants with essential knowledge and skills to ensure safe and environmentally responsible practices on work sites near telecommunication environments. Upon completion, you’ll receive the coveted EUSR SHEA Telecommunications Card.

Course Overview: COPD Update Day for Primary Care Practitioners Join us for a comprehensive and enriching COPD Update Day, specifically designed for Registered Healthcare Professionals who are currently practicing in the field of Chronic Obstructive Pulmonary Disease (COPD). This course aims to enhance your existing knowledge and skills, keeping you up-to-date with the latest developments in COPD management. During this informative day, you will delve into the essentials of COPD, starting from its fundamental definition and diagnostic criteria to the latest investigative approaches. The course will cover both non-pharmacological and pharmacological management strategies, with a special emphasis on practical inhaler techniques. We will also explore the current GOLD & NICE Guidelines, discussing their implications and practical applications in clinical practice. A significant focus will be on the management of exacerbations and lung attacks, including strategies for prevention and effective management techniques, with a particular emphasis on patient self-management. Understanding the complexities and care requirements of end-stage COPD will also be a key aspect of this course. The day will conclude with interactive case studies, allowing you to apply your refreshed knowledge in real-world scenarios, encouraging the sharing of experiences and best practices among your peers. This course offers a dynamic and supportive environment for professionals seeking to refine their approach to COPD care, combining theoretical learning with practical application Learning Outcomes: Defining and Diagnosing COPD Review and update the definition and understanding of Chronic Obstructive Pulmonary Disease (COPD). Refresh knowledge on diagnostic criteria and investigations for COPD. Non-Pharmacological Management Explore various non-pharmacological approaches to managing COPD. Guidelines and Best Practices Delve into the GOLD & NICE Guidelines and their practical applications in COPD management. Pharmacology and Inhaler Techniques Update knowledge on pharmacological treatments for COPD. Master inhaler techniques and understand their critical role in COPD management. Lung Attacks and Exacerbation Management Learn strategies to reduce the risk of lung attacks/exacerbations. Discuss management techniques for exacerbations, including patient self-management. Managing End-Stage Disease Understand the complexities of managing end-stage COPD. Focus on palliative care and improving quality of life for patients with advanced COPD. Case Studies and Practical Application Apply knowledge through interactive case studies. Encourage sharing of experiences and best practices among participants. This COPD Update Day ensures that seasoned primary care practitioners remain up-to-date with the latest advancements in COPD management, fostering an environment of continuous learning, collaboration, and patient-centered care.

If you are new to qualitative research or if you want some initial help to engage with the materials appropriately, then this webinar programme is for you. Doing Qualitative Research is a free curated resource we developed that takes researchers through the whole research cycle, not just the analysis. There is a heavy emphasis on what it is like to 'do' qualitative research in a robust, ethical and professional manner, with practical exercises and reflexive tasks suggested throughout. We are running two, one-hour webinars together with asynchronous, self-directed engagement with the course materials, to help a peer-group of researchers work through the resources on the parts of the qualitative research process they need help with. We understand that not everyone needs to cover the same materials and concepts, or at the same pace. In the first station, discussion with your peers and the facilitator, will help you choose which parts of the Doing Qualitative Research course to focus on before the second webinar. The concluding webinar uses group work and discussion for you to additionally practice one of the most important aspects of the qualitative research paradigm; reflexivity. You will identify what you have learned and how this affects what you will do next with your learning and research. The webinars are facilitated by our Qualitative Research Specialist Dr Cathy Gibbons. Cathy has almost 20 years' experience of teaching qualitative methods across a wide spectrum of disciplines within and beyond the social sciences. The session is free, and runs as two 2hr sessions, 2 weeks apart.

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