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Properly employed and supported, TRiM Practitioners can make a significant contribution to staff welfare by offering structured peer support and TRiM assessments to colleagues. TRiM practitioners are trained to identify the risk factors for the development of post traumatic stress and to know when to signpost colleagues to professional support.

Properly employed and supported, TRiM Practitioners can make a significant contribution to staff welfare by offering structured peer support and TRiM assessments to colleagues. TRiM practitioners are trained to identify the risk factors for the development of post traumatic stress and to know when to signpost colleagues to professional support.

Introduction to 'Early Years Foundation Stage' Approved Online Training

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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 course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

This course introduces you to the paradigm and features of object-oriented programming using Java, an object-oriented language popular in the industry and IntelliJ. The course entails modeling objects and classes, object-oriented facilities like inheritance and polymorphism, native data structures, exception handling, file management, and streams.

How to Select and Apply the Right Leadership Style for Every Situation

NPORS Lift Supervisor Training The aim of the NPORS Lift Supervisor Training is to Provide candidates with underpinning knowledge to allow them to understand the role and responsibility of the Lift Supervisor. As a result of the Lift Supervisor Course, and following successful completion of the NPORS Crane Supervisor training candidates will be able to understand and follow safe systems of work for lifting operations. This Lift supervisor course is for 3 days and can be completed at your site or ours. It is important that all delegates have a good understanding of spoken and written English for NPORS Crane Supervisor Training. NPORS Lift Supervisor Experienced Test Book with Confidence at Vally Plant Training At Vally Plant Training, we guarantee unbeatable value with our Lift Supervisor Experienced Test Price Match Promise. When you choose us, you can book with confidence, knowing that we will not be beaten on price. If you find a lower price for the same NPORS Lift Supervisor Experienced Worker Test, we’ll match it—ensuring you receive top-quality training at the best possible rate. Click for our terms and conditions Your skills, our commitment—always at the best price. NPORS Lift Supervisor Experienced Worker Test is for operators who have received some form of Lift Supervisor Course in the past or alternatively has been working with Lifting equipment, like cranes, Excavators or Telehandlers for a number of years. If you are unsure if you qualify to go down the Lift Supervisor experienced test route please contact our team to discuss this in more detail. Discounts are available for multiple Lift Supervisor Course bookings There are two parts to the lift supervisor test, a theory section comprised of 25 questions and a practical session, however Lift Supervisor training revision notes will be sent once the test has been booked. It is important that all delegates have a good understanding of spoken and written English for NPORS Crane Supervisor Training Crane Supervisor Course Summary: Leading Safe and Efficient Lifting Operations Introduction Ever wonder who keeps construction sites and warehouses running smoothly and safely? That’s where lift supervisors come in. They’re the unsung heroes ensuring everything moves like clockwork. And when it comes to proving you’re the best in the biz, NPORS certification is your golden ticket. It’s not just a piece of paper; it’s your passport to climbing the career ladder. Choose our Lifting Supervisor Course Today. Why Choose Our NPORS Lift Supervisor Training? What makes our training stand out with our Lifting Supervisor Course? Imagine learning from folks who’ve been in the trenches, in training grounds that feel like the real deal, and schedules that bend to your life, not the other way around. We’re not about boring lectures; we’re about getting your hands dirty. Who Should Attend Lift Supervisor Training? Are you the go-to person when things need to get done? Whether you’re starting out or looking to step up, if you’re in the world of construction or logistics, this Lifting Supervisor Course is for you. It’s tailored for those who like to keep things moving, safely and efficiently. Course Objectives: 1. Understanding Regulatory Requirements: Familiarise participants with relevant regulations and industry standards governing crane operations, LOLER. Ensure compliance with legal requirements and best practices for safe lifting operations, BS7121. 2. Roles and Responsibilities of a Crane Lift Supervisor: Define the roles and responsibilities of a Lift supervisor within the context of lifting operations. Highlight the importance of effective communication, leadership, and decision-making skills. 3. Crane Safety Procedures: Provide an overview of crane safety procedures, including pre-operational checks, equipment inspection, and maintenance. Emphasize the importance of hazard identification, risk assessment, and mitigation strategies. 4. Lifting Plan Development: Guide participants in the understanding of the lifting plans tailored to specific lifting tasks and site conditions created by the Appointed Person(AP). Address factors such as load weight, size, shape, centre of gravity, and environmental considerations. 5. Site Safety and Hazard Awareness: Enhance participants’ awareness of potential hazards in the lifting environment, such as overhead power lines, unstable ground, and confined spaces. Implement effective measures to mitigate risks and ensure a safe working environment. 6. Communication and Coordination: Stress the importance of clear and effective communication between crane operators, riggers, signallers, and other personnel involved in lifting operations. Provide guidance on establishing communication protocols, using standardized hand signals, and conducting pre-lift briefings. 7. Emergency Response and Crisis Management: Equip participants with the skills and knowledge to respond effectively to emergencies and crisis situations during lifting operations. Implement emergency procedures, evacuation protocols, and contingency plans to mitigate risks and ensure personnel safety. 8. Practical Exercises and Case Studies: Provide hands-on lift supervisor training opportunities for participants to apply theoretical knowledge in practical scenarios. Analyse real-life case studies to identify lessons learned, best practices, and areas for improvement in crane supervision. Learning Outcomes By the end, you’ll be a pro at keeping sites safe, managing lifts, and leading teams. You’ll walk away not just with knowledge, but with practical skills that meet and beat industry standards. It’s about making you the go to lift supervisor everyone wants on their team. Course Logistics Ready to jump in? We’ve got training spots across the UK, with dates and times that fit your life. Signing up is a breeze, and we’ll guide you through any paperwork or prerequisites. It’s all about making it easy for you to get started. Conclusion: A crane supervisor course aims to empower participants with the expertise and confidence to lead safe and efficient lifting operations on construction sites. By focusing on regulatory compliance, safety procedures, lifting plan development, hazard awareness, communication, and practical training, the course prepares crane supervisors to fulfil their roles effectively and ensure the well-being of all personnel involved in lifting activities. Investing in crane supervisor training is essential for promoting a culture of safety, minimising risks, and achieving excellence in crane operations management. Crane Supervisor Training Available 7 days a week to suit your business requirements. VPT have a team of friendly and approachable instructors, who importantly have a wealth of knowledge of lifting supervision and the construction industry We have our own training centre conveniently located close to the M5 junction 9, In Tewkesbury. With its own purpose-built practical training area to simulate an actual working environment for the supervisor course. Our Lift Supervisor training and test packages are priced to be competitive. Discounts are available for multiple bookings We can send a fully qualified NPORS supervisor Tester to your site nationwide, for instance to reduce the amount of time away from work More courses: Polish your abilities with our dedicated Lift Supervision Training, Slinger Signaller Training, Telehandler Training, Cat & Genny Training, Plant Loader Securer, Ride-On Road Roller, Abrasive Wheel Training, Lorry Loader Training and Scissor Lift Training sessions. Learn the safe and effective operation of these vital machines, crucial for construction and maintenance tasks. Elevate your skills and career prospects by enrolling in our comprehensive courses today. Frequently Asked Questions 1. What is Lift Supervisor Training? Lift Supervisor Training is a specialised course designed to equip individuals with the knowledge and skills required to supervise lifting operations safely and efficiently. This training typically covers topics such as planning lifts, managing lifting equipment, and ensuring compliance with safety regulations. 2. Who should attend The Lifting Supervisor Course? This training is ideal for individuals responsible for overseeing lifting operations on construction sites, in warehouses, or any environment where lifting equipment like cranes are used. It’s particularly beneficial for site supervisors, managers, and anyone involved in the planning and execution of lifting operations to attend the NPORS Lift supervisor Course. 3. What certifications are available through the Lift Supervisor Training? Participants can obtain several Lift Supervisor certifications, including: NPORS Traditional card: Valid for 5 years, widely accepted in various sectors. NPORS card with CSCS logo: Recognised by major building contractors, with an initial RED trained operator card that can be upgraded to a BLUE competent operator card after completing relevant Crane Supervisor NVQ. 4. Is a health and safety test required for the NPORS Crane Supervisor Red operator card with the CSCS logo? Yes, to qualify for this card, you must have completed the CSCS operatives health and safety test within the last two years. 5 . How long is the certification valid, and what is the renewal process? The NPORS Traditional card is valid for 5 years. The NPORS card with the CSCS logo’s RED trained operator card is valid for 2 years, after which it can be upgraded to a BLUE competent Crane Supervisor operator card upon completion of relevant NVQs. The renewal process typically involves undergoing a refresher course or assessment to ensure continued competence. For those looking for a “NPORS Crane Supervisor Training near me,” our widespread operations make it convenient for you to access Vally Plant Trainings top-quality training no matter where you are in the UK

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

Level 2 HACCP RSPH Training Course