Overview This comprehensive course on CompTIA A+ (220-1002) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA A+ (220-1002) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this CompTIA A+ (220-1002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1002) 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 Course Curriculum 22 sections • 106 lectures • 14:51:00 total length •CompTIA A+ 2019 Core 2 (220-1002) Course Introduction: 00:02:00 •What is the CompTIA A+: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 2 (220-1002) Exam?: 00:04:00 •How to Pass the CompTIA A+ Exam: 00:04:00 •How to use this Video Course: 00:03:00 •Professional Communication Part 1: 00:06:00 •Professional Communication Part 2: 00:07:00 •Physical Safety: 00:07:00 •What is an Operating System?: 00:09:00 •Users and Super Users: 00:05:00 •Why Windows?: 00:08:00 •Windows Editions and Versions: 00:12:00 •Touring the macOS: 00:06:00 •Touring Linux: 00:08:00 •32-Bit vs. 64-Bit Processing: 00:12:00 •Virtual Memory: 00:06:00 •Power Protection: 00:10:00 •Understanding Partitioning: 00:04:00 •MBR Partitioning: 00:12:00 •GPT Partitioning: 00:09:00 •Understanding File Systems: 00:12:00 •Popular File Systems: 00:07:00 •Formatting in Action: 00:11:00 •Dynamic Disks: 00:09:00 •Software RAID in Storage Spaces: 00:10:00 •Encrypting Mass Storage: 00:09:00 •Boot from Everything: 00:12:00 •Installing Windows: 00:12:00 •Post-Installation Tasks: 00:12:00 •Windows Installation options: 00:07:00 •What is the Registry?: 00:11:00 •Processes: 00:07:00 •Services: 00:04:00 •Your Windows Toolset: 00:08:00 •Windows 7 Task Manager: 00:09:00 •Windows 10 Task Manager: 00:06:00 •Information and Configuration Tools: 00:11:00 •Performance Monitor: 00:12:00 •Event Viewer: 00:07:00 •Tools for Programmers: 00:08:00 •Introduction to Users and Groups: 00:06:00 •Managing Users and Groups: 00:12:00 •NTFS Permissions: 00:08:00 •Linux and macOS Permissions: 00:05:00 •File Explorer: 00:14:00 •Sharing Resources: 00:11:00 •Security Policies: 00:08:00 •Patch Management: 00:11:00 •Working with Disks: 00:06:00 •Working with Applications: 00:07:00 •System Restore: 00:05:00 •Backing up Your Files: 00:07:00 •Task Scheduler: 00:07:00 •Understanding the CLI: 00:11:00 •Navigating the CLI: 00:14:00 •Working with Folders: 00:07:00 •Working with Files: 00:11:00 •Working with Drives: 00:13:00 •Super Copy Commands: 00:09:00 •Advanced Windows Command Line: 00:08:00 •Advanced Linux Commands: 00:13:00 •Command-Line Permissions: 00:08:00 •Introduction to Scripting: 00:10:00 •Interpreted Languages: 00:12:00 •Windows Recovery Environment: 00:05:00 •Advanced Windows Startup Options: 00:07:00 •Troubleshooting Boot Problems: 00:10:00 •Troubleshooting at the GUI: 00:11:00 •Troubleshooting Applications: 00:07:00 •Kernel Panic: 00:05:00 •Resolutions and Aspect Ratios: 00:06:00 •Multiple Monitors: 00:05:00 •Network Card Troubleshooting: 00:09:00 •Working with Connections: 00:09:00 •Working with Workgroups: 00:08:00 •Working with Active Directory: 00:14:00 •Windows Sharing with Mac and LInux: 00:07:00 •Net Command: 00:04:00 •Firewall Configuration: 00:11:00 •Windows Firewall: 00:08:00 •Port Forwarding: 00:07:00 •Wireless Encryption: 00:11:00 •Enterprise Wireless: 00:16:00 •Telnet and SSH: 00:07:00 •Remote Desktop Connections: 00:06:00 •The World Wide Web: 00:09:00 •Troubleshooting Internet Connections: 00:07:00 •Power Management: 00:11:00 •Mobile Device Security: 00:08:00 •Mobile Security Troubleshooting: 00:06:00 •Mobile Device Troubleshooting: 00:10:00 •Threats: 00:10:00 •Physical Security: 00:08:00 •Passwords and Authentication: 00:14:00 •Malware: 00:14:00 •Anti-Malware: 00:11:00 •Social Engineering: 00:06:00 •Licensing: 00:10:00 •Incident Response: 00:05:00 •Environmental Controls: 00:06:00 •Documents You Need to Know: 00:09:00 •Data You Need to Know: 00:04:00 •Change Management: 00:06:00 •The Zen of Backup: 00:11:00 •Recycling and Data Destruction: 00:07:00
Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 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: 00:08:00 •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: 00:07:00 •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
Overview of Level 3 Diploma in Adult Care (CPD) Looking to start a rewarding career in nursing, health, or social care? The Level 3 Diploma in Adult Care (CPD) could be your ticket. With a shortage of skilled workers in the UK's care sector, there's a growing need for people like you who want to make a difference. This course covers essential topics in adult nursing and social care, equipping you with the skills to excel in various care settings, from hospitals to homes and communities. Communication is vital in nursing, and this course teaches you how to communicate effectively with patients, their families, and fellow healthcare professionals. You'll learn the art of active listening and providing support during difficult times, ensuring you can connect more deeply with those in your care. Safety is paramount in healthcare, and you'll dive into modules covering hygiene, infection control, and safe medication administration. By understanding these crucial practices, you'll be equipped to prevent the spread of diseases and ensure the well-being of your patients. This course provides comprehensive training on caring for adults at different stages of life. From understanding the basics of the immune system to managing rest, sleep, and mobility issues, you'll learn how to address the unique needs of each individual under your care. Whether assisting with pain management, nutrition, or ensuring proper oxygenation, you'll learn how to address the unique needs of each individual under your care. The demand for skilled workers in the UK adult care sector is significant, with estimates suggesting an average vacancy rate of 9.9% in 2022/23, translating to roughly 152,000 unfilled positions. This demand is expected to rise further, with projections indicating a need for 25% more adult care workers (around 440,000) by 2035 compared to 2022/23 figures. Whether you're a caregiver looking to enhance your skills or someone completely new to the field, this diploma offers a pathway to success in adult care. Join a sector that values compassion, dedication, and excellence, and start your journey towards a fulfilling career in nursing and social care today. This Level 3 Diploma in Adult Care (CPD) Course will help you to learn: Confidently administer nursing care, upholding legal and ethical frameworks. Foster effective communication within diverse healthcare settings. Implement hygiene and infection control practices to ensure patient safety. Manage miscellaneous adult needs across various life stages. Understand and support the body's vital systems for optimal health. Provide dignified assistance with personal care and elimination needs This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Level 3 Diploma in Adult Care (CPD). Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Level 3 Diploma in Adult Care (CPD) course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals seeking a career change or wishing to expand their healthcare skillset. Aspiring nurses aiming for a strong foundation in adult care principles. Caregivers are looking to elevate their qualifications and knowledge. Those passionate about supporting the well-being of adults in diverse settings. Anyone wishing to contribute to a vital and growing sector in the UK. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Level 3 Diploma in Adult Care (CPD) course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path This Level 3 Diploma in Adult Care (CPD) Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Mental Health Nurse - £22K to 31K/year. Registered Nurse - £28K to 45K/year. Social Care Worker - £20K to 30K/year. Support Worker - £18K to 25K/year. Care Home Manager - £25K to 35K/year. Course Curriculum Adult Nursing Module1: Introduction to Nursing 00:17:00 Module 2: Working in Different Healthcare Settings 00:15:00 Module 3: Understanding legal, professional standards of practice and ethical aspects of health care- Part 1 00:52:00 Module 4: Understanding legal, professional standards of practice and ethical aspects of health care- Part 2 00:50:00 Module 5: Effective Communication in Nursing 00:47:00 Module 6: Health and Safety in Nursing 00:47:00 Module 7: Hygiene in Nursing 00:30:00 Module 8: Infection Control 00:57:00 Module 9: Asepsis in Nursing 00:16:00 Module 10: Medication Administration in Nursing 00:18:00 Adult Care in Different Life Stages 00:17:00 Module 12: Understanding Immune System in Nursing 00:28:00 Module 13: Rest and Sleep Management in Nursing 00:19:00 Module 14: Mobility and Immobility Issues of Patients in Nursing 00:17:00 Module 15: Pain Management for Nurses 00:24:00 Module 16: Nutrition in Nursing 00:25:00 Module 17: Fluid and Electrolyte Balance 00:23:00 Module 18: Assisting with Elimination 00:30:00 Module 19: Oxygenation in Nursing 00:30:00 Health and Social Care Training Module 1: Introduction to Health and Social Care 00:19:00 Module 2: Communication and its Relevance 00:41:00 Module 3: Rights and Responsibilities as a Health and Social Care Worker 00:39:00 Module 4: Role as A Caregiver and Healthcare Professional 00:23:00 Module 5: Working in Health and Social Care; Promoting Equality, Diversity and Rights 00:46:00 Module 6: Important Principles and Policies in Health and Social Care Work 00:20:00 Module 7: Safeguarding Vulnerable Individuals 00:52:00 Module 8: Health and Safety Responsibilities 00:51:00 Module 9: Risk Management in Health and Social Care 00:03:00 Assignment Assignment - Level 3 Diploma in Adult Care (CPD) 00:00:00
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
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Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Health And Fitness : Beginner To Advanced course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Introduction & What You Will Learn 00:04:00 Get To Know Your Instructor 00:04:00 Why Your Fitness Matters 00:03:00 The Perfect Fitness Diet: Meal Planning Basics Fitness Dieting Introduction 00:02:00 Meal Planning Explained 00:04:00 Calories Explained 00:04:00 Protein Explained 00:02:00 How Much Protein Should I Consume Per Day? 00:04:00 Fats Explained 00:03:00 How Much Fat Should I Consume Per Day? 00:04:00 Carbohydrates Explained 00:03:00 How Many Carbs Should I Consume Per Day? 00:03:00 Meal Timing Introduction 00:01:00 Protein Timing 00:04:00 Carb Timing 00:02:00 Fat Timing 00:01:00 The Ideal Pre-Workout Meal 00:04:00 The Ideal Post-Workout Meal 00:02:00 Food Composition Introduction 00:02:00 Protein Composition 00:02:00 Carbohydrate Composition 00:03:00 Fat Composition 00:01:00 Top 3 Beginner Supplements 00:04:00 Setting Up Your Fitness Diet Determining Your Daily Calorie Intake 00:03:00 Determining Your Ideal Protein Intake 00:01:00 Determining Your Ideal Carb Intake 00:02:00 Determining Your Ideal Fat Intake 00:01:00 Adjusting Your Diet For Muscle Gain 00:04:00 Adjusting Your Diet For Weight Loss 00:05:00 The Perfect Fitness Workout: Cardio What Makes Up A Complete Fitness Workout? 00:03:00 Aerobic Exercise Overview 00:01:00 Traditional Cardio Explained 00:03:00 HIIT Cardio Explained 00:07:00 Sample HIIT Workout 00:05:00 The Perfect Fitness Workout: Bodyweight Training The Fundamentals Of Resistance Training 00:01:00 Bodyweight vs. Weight Training 00:02:00 Bodyweight Training Fundamentals 00:02:00 The Muscle Building Formula 00:09:00 Bodyweight Beginner Workout 00:07:00 Push Ups 00:01:00 Pull Ups 00:01:00 Bodyweight Squats 00:01:00 Lunges 00:01:00 The Perfect Fitness Workout: Weight Training Weight Training Fundamentals 00:03:00 Weight Training Beginner Workout 00:06:00 Bench Press 00:01:00 Squat 00:01:00 Deadlift 00:01:00 Military Press 00:01:00 Flexibility Introduction 00:01:00 Most Common Stretching Mistakes 00:04:00 Static vs. Dynamic Stretching 00:05:00 Your Daily Stretching Routine 00:03:00 How To Warm Up Correctly 00:02:00 Putting Everything Together: Your Weekly Training Schedule 00:01:00 The Right Fitness Mindset Fitness Mindset Introduction 00:01:00 How To Master Willpower 00:02:00 The Modern Problem 00:02:00 The Role Of Stress In Motivation 00:02:00 Motivation & Goal Setting 00:04:00 More Tips To Staying Motivated 00:01:00 5 Steps To Long Term Improvements 00:05:00 How To Track Your Progress 00:04:00 Visualizing Your Ideal Body 00:02:00 How To Avoid The 'What The Hell Effect' 00:01:00 Coaching Tools Bonus Lecture Extra Section 0 course promo 00:02:00 12 - The Different Types of carbs copy 00:05:00 20 - What about the anabolic window copy 00:01:00 25 - Supplement intro copy 00:01:00 27 - HOW TO USE PROTEIN POWDER_ WHEN, HOW MUCH & WITH WHAT copy 00:06:00 28 - HOW TO USE CREATINE_ WHEN, HOW MUCH & WITH WHAT copy 00:04:00 29 - Other Supplements to consider copy 00:05:00 34 - Determining Meal Structure copy 00:03:00 37 - Cheat days and cheat meals copy 00:05:00 43 how to progress with your hiit workouts copy 00:01:00 55 Progressive Overload copy 00:03:00 60 Barbell Row (Overhand) copy 00:01:00 61 Pull-Up copy 00:01:00
Overview This Personal Development and Productivity Level 2 course will unlock your full potential and will show you how to excel in a career in Personal Development and Productivity Level 2. So upskill now and reach your full potential. Everything you need to get started in Personal Development and Productivity Level 2 is available in this course. Learning and progressing are the hallmarks of personal development. This Personal Development and Productivity Level 2 will quickly teach you the must-have skills needed to start in the relevant industry. In This Personal Development and Productivity Level 2 Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Personal Development and Productivity Level 2 skills to help you advance your career. Acquire a comprehensive understanding of various Personal Development and Productivity Level 2 topics and tips from industry experts. Learn in-demand Personal Development and Productivity Level 2 skills that are in high demand among UK employers, which will help you to kickstart your career. This Personal Development and Productivity Level 2 course covers everything you must know to stand against the tough competition in the Personal Development and Productivity Level 2 field. The future is truly yours to seize with this Personal Development and Productivity Level 2. Enrol today and complete the course to achieve a Personal Development and Productivity Level 2 certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Personal Development and Productivity Level 2 course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Personal Development and Productivity Level 2 course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Personal Development and Productivity Level 2 course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Personal Development and Productivity Level 2 is suitable for anyone aspiring to start a career in Personal Development and Productivity Level 2; even if you are new to this and have no prior knowledge on Personal Development and Productivity Level 2, this course is going to be very easy for you to understand. And if you are already working in the Personal Development and Productivity Level 2 field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Personal Development and Productivity Level 2 course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Personal Development and Productivity Level 2 course has no prerequisite. You don't need any educational qualification or experience to enrol in the Personal Development and Productivity Level 2 course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Personal Development and Productivity Level 2 course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Personal Development and Productivity Introduction to Super Success 00:08:00 Super Productivity - A Quick Takeaway 00:05:00 What This Course Will Teach You 00:04:00 Your Journey Starts Here - Yay! 00:05:00 Mindset Management - The 5 Keys to Success 00:05:00 Overcoming Mental Traps - 4 Lies to Unlearn 00:05:00 Overcoming Physical Traps 00:04:00 Overcoming Emotional Traps - The 4 'Lack' Myths 00:05:00 Practical Time Management 00:05:00 Advanced Time Management 00:05:00 Identifying Your Goals 00:04:00 Designing Your Perfect Future - The 5 Key Elements 00:05:00 You Gotta Think Bigger! 00:05:00 Planning For Success 00:07:00 Changing Your Energy 00:05:00 The Importance of Ongoing Assessment 00:03:00 Making The Right Decisions 00:05:00 Ask for What You Want 00:05:00 Just Do It 00:03:00 Just BE It 00:05:00 Just Live It 00:04:00 Becoming a Superhero 00:02:00 Conclusion 00:02:00
Overview This Nutrition : Build Your Diet Plan course will unlock your full potential and will show you how to excel in a career in Nutrition : Build Your Diet Plan. So upskill now and reach your full potential. Everything you need to get started in Nutrition : Build Your Diet Plan is available in this course. Learning and progressing are the hallmarks of personal development. This Nutrition : Build Your Diet Plan will quickly teach you the must-have skills needed to start in the relevant industry. In This Nutrition : Build Your Diet Plan Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Nutrition : Build Your Diet Plan skills to help you advance your career. Acquire a comprehensive understanding of various Nutrition : Build Your Diet Plan topics and tips from industry experts. Learn in-demand Nutrition : Build Your Diet Plan skills that are in high demand among UK employers, which will help you to kickstart your career. This Nutrition : Build Your Diet Plan course covers everything you must know to stand against the tough competition in the Nutrition : Build Your Diet Plan field. The future is truly yours to seize with this Nutrition : Build Your Diet Plan. Enrol today and complete the course to achieve a Nutrition : Build Your Diet Plan certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Nutrition : Build Your Diet Plan course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Nutrition : Build Your Diet Plan course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Nutrition : Build Your Diet Plan course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Nutrition : Build Your Diet Plan is suitable for anyone aspiring to start a career in Nutrition : Build Your Diet Plan; even if you are new to this and have no prior knowledge on Nutrition : Build Your Diet Plan, this course is going to be very easy for you to understand. And if you are already working in the Nutrition : Build Your Diet Plan field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Nutrition : Build Your Diet Plan course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Nutrition : Build Your Diet Plan course has no prerequisite. You don't need any educational qualification or experience to enrol in the Nutrition : Build Your Diet Plan course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Nutrition : Build Your Diet Plan course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Welcome To The Course & What You Will Learn FREE 00:04:00 Get to Know Your Instructor 00:03:00 Meal Planning Basics Meal Planning Explained 00:04:00 Calories Explained 00:04:00 Micronutrients Introduction 00:01:00 Protein Explained 00:02:00 How much protein do you need to consume per day 00:04:00 Fats explained 00:03:00 How Much Fat Should You Eat Per Day 00:04:00 Carbohydrate Explained 00:03:00 Macronutrients Explained 00:01:00 The Different Types of carbs 00:05:00 How Much Carbs should you eat per day 00:03:00 Meal Timing Intro 2 copy 00:01:00 Protein Timing 00:04:00 Carbohydrate Timing 00:02:00 Fat Timing 00:01:00 Pre-Workout Meal 00:04:00 Post Workout Meal 00:02:00 What About the Anabolic Window 00:01:00 Food Composition Introduction 2 copy 00:02:00 Protein Composition 00:02:00 Carbohydrate Composition 00:03:00 Fat Composition 00:01:00 Supplements Top 3 Beginner Supplements 00:04:00 How to Use Protein Powder When, How Much & With What 00:06:00 How to Use Creatine When,How Much & With What 00:04:00 Other Supplements to consider 00:05:00 Setting Up Your Diet How To Determin Your Optimal Calorie Intake 2 00:03:00 How to Track Calories 00:05:00 Determining Protein Intake 00:01:00 Determining Fat Intake 00:01:00 What About the Ramaining Calories 00:02:00 Determining Meal Structure 00:03:00 Quality Protein Sources 00:01:00 Quality Carbs Sources 00:01:00 Quality Sources Of Fat 00:01:00 Adjusting Your Diet For Weigh Loss & Muscle Gains Adjusting You Diet For Weight Gain 00:04:00 Adjusting Your Diet For Weight Loss 00:05:00 Cheat Days and Cheat Meals 00:05:00 Post Workout Shake 00:02:00 Healthy Dieting Healthy Dieting Intro copy 00:01:00 Dieting myth #1 Carbs are bad for you 00:02:00 Dieting Myth #2 Fat is bad for you 00:02:00 Dieting Myth #3 Protein is bad for you 00:04:00 Dieting Myth #5 Avoid Salt At All Cost 00:01:00 Dieting Myth #6 Eat several small meals throughout the day to lose weight 00:01:00 Dieting Myth #7 Diet Foods Will Lead To Weight Loss 00:01:00 Red Meat Always Causes Cancer 00:03:00 Common Dieting Trends Explained Common Diets Intro Copy 00:01:00 Gluten Free Diet Explained 00:03:00 Paleo Diet Explained 00:04:00 Low Carb Diet Explained 00:03:00 Intermittend Fasting Explained 00:03:00 Vegan Diet Explained 00:05:00 Micronutrients Micronutrients Introduction 00:01:00 Vitamin A 00:02:00 Vitamin B 00:01:00 Vitamin C 00:01:00 Vitamin D 00:02:00 Vitmain E 00:01:00 Vitamin K 00:01:00 Calcium 00:02:00 Magnesium 00:01:00 Phosphorus 00:01:00 Potassium 00:01:00 Sodium 00:01:00 Copper 00:01:00 Iron 00:01:00 Zinc 00:02:00 Water 00:04:00 More Dieting Tips & Strategies Intro Specific dieting tips and strategies 00:01:00 5 Best Supplements to Boost Your Immune System 00:04:00 How to Read a Nutrition Label 00:03:00 How to Do You Own Research 00:04:00
This course is a great way to introduce people to Lean Management in the workplace. You'll understand the concept of Continuous Improvement, a long-term approach to work that systematically seeks to achieve small, incremental changes in processes to improve efficiency and quality.
Join our Duty of Care course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Duty of Care course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Duty of Care course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Duty of Care. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital/PDF Certificate After completing the Duty of Care course, you can order your CPD-accredited Digital/PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Duty of Care is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Duty of Care course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Duty of Care Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Introduction to the Duty of Care Introduction to the Duty of Care 00:32:00 Module 02: Policies of Duty of Care Policies of Duty of Care 00:20:00 Module 03: Duty of Care Related Legislations in UK Duty of Care Related Legislations in UK 00:25:00 Module 04: Safeguarding Individuals Safeguarding Individuals 00:23:00 Module 05: Managing Conflict and Difficult Situations Managing Conflict and Difficult Situations 00:23:00 Module 06: Risk Management Part 1 Risk Management Part 1 00:21:00 Module 07: Risk Management Part 2 Risk Management Part 2 00:18:00 Module 08: Workplace Protocols to Support Duty of Care Workplace Protocols to Support Duty of Care 00:19:00 Module 09: Personal Development Personal Development 00:18:00