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Overview In the dynamic world of property sales, becoming a successful estate agent requires more than just basic knowledge; it demands a comprehensive understanding of the industry. Our Real Estate Agents | Online Course offers an in-depth exploration of all essential aspects of real estate, equipping you with the skills needed to excel as an estate agent. From mastering property valuation and market analysis to learning advanced negotiation techniques, this course is designed to prepare you for a thriving career in real estate. Our online course provides flexible learning options, allowing you to gain expertise in key areas such as property management, client relations, and legal regulations affecting estate agents. With engaging content and practical insights, you'll develop the knowledge and confidence needed to navigate the real estate market and advance your career as a top-notch estate agent. Enrol today and take the first step towards becoming a successful real estate professional. Key Features of the Course: FREE Real Estate Agents CPD-accredited certificate Get a free student ID card with Real Estate Agents training (£10 applicable for international delivery) Lifetime access to the Real Estate Agents course materials The Real Estate Agents program comes with 24/7 tutor support Get instant access to this Real Estate Agents course Learn Real Estate Agents training from anywhere in the world The Real Estate Agents training is affordable and simple to understand The Real Estate Agents training is entirely online How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the Real Estate Agents | Online Course course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Real Estate Agents | Online Course. It is available to all students, of all academic backgrounds. Requirements Our Real Estate Agents | Online Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 13 lectures • 07:30:00 total length •Module 1: Estate Agent: An Introduction: 00:04:00 •Module 2: Different Types of Estate Agents: 00:04:00 •Module 3: Getting Started on the Job: 00:04:00 •Module 4: Listing Property: Finding the Sellers: 00:05:00 •Module 5: Valuation Process: 00:05:00 •Module 6: Negotiating as Estate Agent: 00:05:00 •Module 7: Selling Property: Finding the Buyers: 00:05:00 •Module 8: Letting Property: 00:06:00 •Module 9: Technology for Estate Agents: 00:07:00 •Module 10: Regulation of Estate Agents: 00:05:00 •Additional Reading Materials - Real Estate Agents: 06:00:00 •Mock Exam - Real Estate Agents | Online Course: 00:20:00 •Final Exam - Real Estate Agents | Online Course: 00:20:00

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

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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

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Fitness Instructor Training Course Overview Step into the exciting world of fitness with our Fitness Instructor Training Course. Designed for those passionate about helping others achieve their health goals, this course provides you with the foundational knowledge to guide individuals through various exercises and routines. Whether you're looking to enter the fitness industry or simply enhance your existing knowledge, this course ensures that you gain the necessary insights and techniques to offer safe and effective guidance. With a focus on flexibility, you'll explore key topics such as anatomy, exercise physiology, nutrition, and the different types of fitness training. All content is delivered online, allowing you to learn at your own pace, from anywhere. We break down complex topics into bite-sized, digestible lessons that ensure you not only learn but enjoy the process. Our aim is to help you build confidence in your fitness knowledge and give you the tools to potentially inspire others on their fitness journey. By the end of the course, you will have the knowledge required to assist others in achieving their fitness goals while keeping your own health journey at the forefront. Key Features of This Fitness Instructor course: CPD Accredited Fitness Instructor Training Course FREE PDF + Hardcopy certificate Fully online, interactive Fitness Instructor course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Module 01: Introduction to Fitness Training Module 02: Anatomy and Physiology Module 03: Fundamentals of Exercise Programming Module 04: Nutrition Basics for Fitness Module 05: Coaching Skills and Communication Module 06: Professional Practice and Business Skills Module 07: Exercise Physiology and Kinesiology Module 08: Fitness Management, Tactical Strength and Conditioning Learning Outcomes Analyse human anatomy for targeted fitness programming. Develop effective exercise routines based on physiological principles. Apply nutritional knowledge to enhance client well-being. Master communication strategies for successful coaching. Establish and manage a thriving fitness practice. Implement tactical strength and conditioning techniques for optimal results. Accreditation All of our courses are fully accredited, including this Fitness Instructor Training Course, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in Fitness Instructor . Certification Once you've successfully completed your Fitness Instructor Training Course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Fitness Instructor Training Course certification has no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Fitness Instructor Training Course can be taken by anyone who wants to understand more about the topic. With the aid of this Fitness Instructor Training course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Fitness Instructor Training Course is ideal for: Fitness enthusiasts seeking a career change. Individuals passionate about health and wellness. Those aspiring to become certified fitness instructors. Professionals looking to upskill in the fitness industry. Requirements Learners do not require any prior qualifications to enrol on this Fitness Instructor Training Course. You just need to have an interest in Fitness Instructor Training Course. Career path After completing this Fitness Instructor Training Course you will have a variety of careers to choose from. The following job sectors of Fitness Instructor Training Course are: Fitness Instructor - £18K to 30K/year. Personal Trainer - £20K to 35K/year. Gym Manager - £22K to 40K/year. Strength and Conditioning Coach - £25K to 45K/year. Nutrition Advisor - £20K to 35K/year. 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.

Enhance your healthcare communication skills with our Medical Terminology and Abbreviation Course. Covering essential vocabulary, acronyms, and body systems, this course is perfect for aspiring professionals and current workers seeking to improve their understanding and application of medical language. Complete the course at your own pace and receive a certificate of achievement.

Learn essential vaccine principles, types, safety protocols, and communication strategies with our Vaccination Training course. Perfect for healthcare professionals and public health practitioners, this comprehensive course equips you to effectively manage vaccination tasks and address public health challenges, including pandemics.

Our Midwifery and Maternity Care Training Course is designed for those looking to deepen their understanding of maternal health and midwifery, all from the comfort of your own home. This course provides a deep dive into the complexities of pregnancy, birth, and postnatal care, offering you a thorough grasp of key concepts without the need for in-person attendance. Whether you are starting a new career or enhancing existing knowledge, this course equips you with the knowledge to navigate the varied aspects of maternity care. With 28 years of industry experience, we bring a training programme that is built on a solid foundation of research, case studies, and expert insight. You will engage with carefully designed content that addresses the latest in maternal health practices and theoretical frameworks. From understanding the emotional aspects of maternity to the medical intricacies of childbirth, every module is crafted to enrich your expertise and provide you with a well-rounded perspective of midwifery. No matter where you are in your journey, this course ensures you're well-prepared to take on the challenges of maternity care with confidence. Key Features of Midwifery and Maternity Care Training Bundle CPD Accredited Midwifery and Maternity Care Training Course Instant PDF certificate Fully online, interactive Midwifery and Maternity Care Trainingcourse Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Enrol now in this Midwifery and Maternity Care Training Bundle course to excel! Midwifery and Maternity Care Training Curriculum Midwifery Module 01: Definition and Origin of Midwifery Module 02: Midwifery as a Career Option Module 03: Midwifery Management and Education Module 04: Midwives' Role in Health and Inequality Module 05: Social, Cultural and Spiritual Context of Childbearing Module 06: Antenatal Care and Screening Module 07: Midwifery Support in Labour: Intrapartum Care Module 08: Induction of labour Module 09: Postnatal Care as a Midwife Module 10: Nurture and Nature: The Healthy Newborn Module 11: Stillbirth, Neonatal Death and Bereavement Module 12: Infant feeding Module 13: Newborn Infection Module 14: Home Birth Module 15: Complementary and Alternative Medicines Applied to Maternity Care Module 16: Pharmacology and Medicines Management Module 17: Bleeding in Pregnancy Module 18: Medical Disorders of Pregnancy Module 19: Pre-term Labour Module 20: Twins and higher-order births Module 21: Care During the Third Stage of Labour Module 22: Terminology and Abbreviations for Midwifery Module 23: Perinatal mental health Module 24: Supporting a Healthy Pregnancy Module 25: Contraception and family planning Module 26: Effective Communication for Midwifery Module 27: Ethics in Midwifery Maternity Care Assistant Maternity Care Assistant Module 01: Introduction to Maternity Care Module 02: Terminology and Abbreviations for Maternity Care Assistant Module 03: Reproductive Anatomy & Physiology Module 04: Antenatal Care and Screening Module 05: Support in Labour: Intrapartum Care Module 06: Postnatal Care Module 07: Nurture and Nature: The Healthy Newborn Module 08: Infant feeding Module 09: Newborn Infection Module 10: Care During the Third Stage of Labour Module 11: Perinatal mental health Module 12: Supporting a Healthy Pregnancy Module 13: Effective Communication Module 14: Empathy and Comfort Skills Module 15: Team Working Module 16: Maternity Care Assistance as a Career Accreditation This Midwifery and Maternity Care Training bundle courses are CPD accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Midwifery and Maternity Care Training course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). CPD 25 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for all employees or anyone who genuinely wishes to learn more about Midwifery and Maternity Care Training basics. Individuals aspiring to become midwives or maternity care assistants. Healthcare professionals seeking to specialize in maternity care. Students interested in reproductive health and childbirth. Those looking to pursue careers in maternity care facilities. Anyone passionate about supporting healthy pregnancies and newborns. Requirements No prior degree or experience is required to enrol in this Midwifery and Maternity Care Training course. Career path This Midwifery and Maternity Care Training Course will help you to explore avariety of career paths in the related industry. Midwife - £25K to 35K/year. Maternity Support Worker - £18K to 24K/year. Neonatal Nurse - £24K to 40K/year. Obstetrician/Gynaecologist - £40K to 100K/year. Childbirth Educator - £20K to 30K/year Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hardcopy 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.