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Mind-bending insights await! Spark Generation's adaptable Psychology course, delving into human behaviour with flexible learning. 🧠 Choose to study when, where and how you want to the Cambridge self-paced courses

Mind-bending insights await! Spark Generation's adaptable Psychology course, delving into human behaviour with flexible learning. Choose to learn when, where and how 🧠 With the subscription offered by Spark Generation, you get now access to more than 55+ Cambridge, Wellbeing and Future Readiness content and courses.

Unlock the secrets of captivating travel writing with our workshop! From building a strong foundation to evoking emotions, master the art of narrative crafting. Join now and transform your adventures into engaging stories.

Step into the realm of caregiving with our course, 'Training & Learning for Carer.' This program is a gateway to mastering the intricacies of health and social care. Imagine embarking on a path that not only enhances your professional capabilities but also enriches lives. The course begins with an exploration of the diverse opportunities within the health and social care sector, laying a solid foundation for your journey ahead. Progress through modules focused on enhancing training methodologies and professional growth. These insights are crucial in evolving into a compassionate and skilled carer. As you delve deeper, the course highlights the significance of skills for reflective practice, a cornerstone in providing exceptional care. It also emphasises personal development, addressing potential learning barriers and the importance of Continuous Professional Development (CPD). Navigating through the complexities of workplace conditions affecting health and safety, this course shapes you into a proficient, empathetic professional, ready to make a meaningful impact in the world of health and social care. Learning Outcomes Comprehend various career trajectories within the health and social care industry. Gain knowledge in effective training practices specific to caregiving. Enhance skills in professional and personal growth within the care sector. Develop competencies in reflective practice to continually elevate care standards. Understand the essentials of CPD and maintaining health and safety in the workplace. Why choose this Training & Learning for Carer course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Training & Learning for Carer course for? Aspiring professionals in health and social care seeking foundational and advanced knowledge. Current caregivers aiming to refine their skills and expand their expertise. Students in healthcare-related fields desiring practical insights into caregiving. Individuals transitioning from other professions into health and social care roles. Volunteers in caregiving roles seeking structured training to improve their effectiveness. Career path Community Support Worker - £18,000 to £26,000 Nursing Assistant - £17,000 to £23,000 Healthcare Administrator - £19,000 to £28,000 Residential Care Worker - £18,000 to £25,000 Home Care Aide - £16,000 to £22,000 Senior Caregiver - £22,000 to £30,000 Prerequisites This Training & Learning for Carer does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Training & Learning for Carer was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Career in Health and Social Care Career in Health and Social Care 00:15:00 Module 02: Health and Social Care Training Health and Social Care Training 00:14:00 Module 03: Professional Development Professional Development 00:14:00 Module 04: The Importance of Skills for Reflective Practice The Importance of Skills for Reflective Practice 00:12:00 Module 05: Personal Development Personal Development 00:17:00 Module 06: Learning Requirements, Barriers and CPD Learning Requirements, Barriers and CPD 00:19:00 Module 07: Workplace Conditions Affecting Health and Safety Workplace Conditions Affecting Health and Safety 00:13:00

***Skills for Working in Child Care*** If you think you may be interested in a career in Child Care, this Skills for Working in Child Care will provide you an introduction to the expectations of the sector. This Skills for Working in Child Care course will help learners to develop their skills and knowledge in order to start or advance their careers in a range of childcare industries. This Skills for Working in Child Care course covers various aspects of childcare, such as child development, childcare, working in child care principles, and supporting a child's learning. Learners will also be able to develop the essential communication skills required to succeed in the industry. Learning Outcomes After completing this Skills for Working in Child Care course, learner will be able to: Understand caring for a baby Understand caring for a child Gain a thorough understanding of child development (0-3 Years) Know how to develop language and communication skills in children Know how to build & manage workplace relationship Understand bullying & harassment in the workplace Why Choose Level 1 Certificate in Skills for Working in Child Care Industries Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. 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 the course. ***Others Benefits of this Skills for Working in Child Care Course Free One PDF Certificate Lifetime Access Unlimited Retake Exam Tutor Support [ Note: Free PDF certificate as soon as completing the course ] ***Skills for Working in Child Care*** Detailed Course Curriculum Module 1: Caring for a Baby The Needs of A Baby The Need For Developmental And Health Checks The Need For Immunisation Module 2: Caring for a Child Childhood Behaviour Problems The Importance of Play in Child Development The Nature of Children's Social And Emotional Development The Importance of Safety And Hygiene in Childcare Children's Physical Development Up to 11 Years The Nutritional Needs of Children Module 3: Child Development (0-3 Years) The Development of Children From 0-to 3 Years Different Kinds of Childcare Provisions Which Assist Child Development The Need of a Safe Environment Module 4: Developing Language and Communication Skills in Children How Children Develop Language And Communication Skills The Links Between Language And Communication Skills The Role of Adults In Promoting Language Skills Module 5: Building & Managing Workplace Relationship Know about acceptable boundaries to behaviour in the workplace Know how to recognise and respond to different behaviours Know how to give and respond to constructive criticism Know how Conflict Can Be Dealt with Constructively In The Workplace Module 6: Bullying & Harassment In The Workplace Know what is meant by bullying and harassment in the workplace Know how to use appropriate strategies to help deal with the situations of bullying and harassment Know policies and procedures that are in place to deal with bullying and harassment Assessment Method After completing each module of the Skills for Working in Child Care, 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 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? Skills for Working in Child Care This course is suitable for anyone who wants to learn the skills for working in Child Care industries or help young children develop in a nursery, childcare, or primary school setting. Requirements Skills for Working in Child Care There are no specific requirements for this Skills for Working in Child Care course because it does not require any advanced knowledge or skills. Students who intend to enrol in this 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 Skills for Working in Child Care Upon successful completion of this Skills for Working in Child Care course, you may be able to pursue a number of career opportunities in the childcare industry. Such as- Nursery Childcare and Education Early Years Education And much more. Certificates Certificate of completion Digital certificate - Included

Motivational Interviewing Advancing Practice 2-day In-person CPD training workshop Thursday 7th & Friday 8th November 2024 his 2-day workshop will be of interest to people in diverse settings and circumstances where conversations about change are an everyday reality. A wide range of learning methods are used to create an enjoyable atmosphere for learning and sharing ideas. These will include demonstration, video observation, brief content lectures, discussion, and focused practice. It is an introduction to Motivational Interviewing for some participants and a refresher for those people who have attended MI training previously.

Blue CSCS Card NVQ Level 2 Plant This qualification provides you with the opportunity to showcase their knowledge, skills and understanding in their chosen specialism. You will have the relevant experience in one of the specific areas. You will be operating on one of the following machines: Forward Tipping Dumper Ride on Roller Excavator Telehandler Induction As soon as you register you will be given a dedicated assessor. They will arrange an induction and together with your assessor, you will get to decide on the pathway which best proves your competency. The induction is used to plan out how you will gather the relevant evidence to complete the course. During the course The assessor will work with you to build a portfolio of evidence that allows you to showcase your knowledge, skills and experience. The assessor will also regularly review and provide you with feedback. This will allow you to keep on track to progress quickly. You will be assessed through various methods such as observations, written questions, evidence generated from the workplace, professional discussion, and witness testimonials. On completion Once all feedback has been agreed, the Internal Quality Assurer will review your portfolio and in agreement with your assessor the certificate will be applied for. To download our PDF for this course then please click here.

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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

To explore the factors which affect and influence feacal continence when supporting individuals in order to effectively manage bowel incontinence.