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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? This Data Science & Machine Learning with Python 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 You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python 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 Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00
Early Childhood Specialist is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This Early Childhood Specialist consists of several modules that take around 14 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.
Early Years Practitioner is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This Early Years Practitioner consists of several modules that take around 14 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.
Early Years Educator is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with a recognised certification. This Early Years Educator consists of several modules that take around 14 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. Why Choose this Course? Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.
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Investment Manager: Manage investment portfolios for individuals or institutions, leveraging your expertise in Forex trading to optimize returns and mitigate risks. Financial Consultant: Offer expert advice and guidance on Forex trading strategies to clients seeking to invest in foreign currencies as part of their overall investment portfolio. FAQ Q: Is this course suitable for beginners? A: Yes! Our 'Forex Trading' Text Course is designed to cater to individuals of all experience levels, including beginners who are new to Forex trading. Q: How long does it take to complete the course? A: The duration of the course depends on your learning pace. Since it's self-paced, you can take as much time as you need to complete the modules and absorb the material thoroughly. Q: Do I need any prior knowledge of finance or trading? A: While prior knowledge can be beneficial, it's not required. Our course covers the fundamentals of Forex trading, making it accessible to individuals with varying levels of expertise. Q: Will I receive a certificate upon completion of the course? A: Yes! Upon successfully completing the 'Forex Trading' Text Course, you'll receive a certificate of completion, which you can add to your professional credentials. Q: Can I access the course on any device? A: Absolutely! Our platform is optimized for accessibility, allowing you to access the course materials from any device with an internet connection, including smartphones, tablets, and computers. Q: Is there any ongoing support available after I complete the course? A: Yes, we offer continuous support to our students even after they complete the course. Whether you have questions about the material or need guidance on your trading journey, our support team is here to help. Q: Are there any additional resources provided with the course? A: In addition to the course modules, you'll have access to supplementary resources such as case studies, practical examples, and recommended reading materials to enhance your learning experience. Conclusion Don't miss out on the opportunity to elevate your financial literacy and unlock lucrative prospects in the world of Forex trading! Enroll in our 'Forex Trading' Text Course today and embark on a journey towards financial freedom and success. ð Course Curriculum Module 1 Introduction to Stocks Trading Introduction to Stocks Trading 00:00 Module 2 Trading Strategies and Execution Trading Strategies and Execution 00:00 Module 3 Risk Management and Psychology in Trading Risk Management and Psychology in Trading 00:00 Module 4 Advanced Trading Techniques and Market Adaptation Advanced Trading Techniques and Market Adaptation 00:00 Module 5 Technical Indicators and Chart Patterns Technical Indicators and Chart Patterns 00:00 Module 6 Market News and Fundamental Events Market News and Fundamental Events 00:00 Module 7 Introduction to Stocks Trading Introduction to Stocks Trading 00:00
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Step confidently into a hazard-free future with Slips, Trips & Falls Safety Training! ðð ï¸ð·âï¸ Course Curriculum Module 1 Introduction to Slips, Trips, and Falls Introduction to Slips, Trips, and Falls 00:00 Module 2 Identifying Hazards Identifying Hazards 00:00 Module 3 Preventing Slips and Trips Preventing Slips and Trips 00:00 Module 4 Preventing Falls Preventing Falls 00:00 Module 5 Training and Communication Training and Communication 00:00 Module 6 Emergency Procedures Emergency Procedures 00:00 Module 7 Legal and Regulatory Requirements Legal and Regulatory Requirements 00:00
Midwifery and Maternity Care With Nursing: Midwifery course Online Unlock the Path to Empowering Birth Experiences with Midwifery! Are you passionate about providing compassionate care to expectant mothers and their babies through Midwifery? Do you dream of playing a vital role in creating positive birth experiences with Midwifery? Look no further! Our exclusive course on "Midwifery" is here to transform your passion into a rewarding career in Midwifery! Benefits of taking this Midwifery course Comprehensive Curriculum: Our meticulously designed course covers every aspect of Midwifery, equipping you with the knowledge and skills needed to excel in this dynamic field of Midwifery. From prenatal care and labor management to postpartum support and Health advice in pregnancy, you will gain a deep understanding of the entire childbirth continuum through Midwifery. Expert-Led Instruction: Learn from seasoned midwives who have extensive experience in delivering exceptional care to expectant mothers with Midwifery. Benefit from their expertise as they guide you through real-life scenarios, best practices, and evidence-based approaches, ensuring you develop the skills necessary for a successful Midwifery career with Midwifery. Interactive Learning Environment: Engage in a vibrant online community of aspiring midwives, fostering collaboration, networking, and knowledge exchange in Midwifery. Participate in interactive discussions, case studies, and virtual simulations that mirror real-world Midwifery scenarios, preparing you for the challenges and triumphs you will encounter in your future practice of Midwifery. Flexibility and Convenience: Our course is designed to fit seamlessly into your busy schedule of Midwifery. Access the course materials anytime, anywhere, and at your own pace. Whether you are a full-time professional, a busy parent, or a student, you can pursue your passion for Midwifery without compromising your existing commitments to Midwifery. Don't miss out on this limited-time opportunity to embark on your journey as a midwife with Midwifery. Enroll now and gain access to our comprehensive course on "Midwifery." Why choose this Midwifery and Maternity Care with Nursing: Midwifery Course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Midwifery: Midwifery Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Midwifery: Midwifery Course. Main Course: Level 7 Midwifery Course Free Courses included with Midwifery: Midwifery Course: Course 01: Nursing Assistant Diploma [Note: Free PDF certificate will provide as soon as completing the Midwifery: Midwifery and Maternity Care with Nursing course] Midwifery and Maternity Care with Nursing: Midwifery course Online This Midwifery: Midwifery course consists of 25 modules. Course Curriculum of Midwifery: Midwifery course Module 01: Introduction to Midwifery Training Module 02: Preconception care Module 03: Sexual health Module 04: Antenatal care Module 05: Health advice in pregnancy Module 06: Minor disorders of pregnancy Module 07: Helping women cope with Pregnancy: complementary therapies Module 08: The Need for social support Module 09: Recognizing and managing pregnancy complications Module 10: Medical Conditions during Pregnancy Module 11: Normal labour: first stage Module 12: Pain relief: Non-pharmacological Module 13: Pain relief: pharmacological Module 14: Normal labour: second stage Module 15: Normal labour: third stage Module 16: Immediate care of the Newborn Module 17: Management of malpositions and malpresentation Module 18: High-risk labour Module 19: Emergencies during pregnancy, labour, and postnatally Maternal Module 20: Midwifery Postnatal care Module 21: Disorders of the postnatal period Module 22: Contraception Midwifery Module 23: Immediate care of the Newborn Module 24: Breastfeeding Module 25: Artificial feeding Assessment Method of Midwifery: Midwifery course After completing Midwifery and Maternity Care with Nursing: Midwifery course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Certification of Midwifery: Midwifery course After completing the Midwifery and Maternity Care with Nursing: Midwifery course, you can instantly download your certificate for FREE. Who is this course for? Midwifery and Maternity Care with Nursing: Midwifery course Online This Midwifery and Maternity Care with Nursing: Midwifery course is designed for individuals who are passionate about providing compassionate care and support to expectant mothers and their babies. It is ideal for: Aspiring Midwives Healthcare Professionals Students Professionals Seeking a Career Change Individuals with Personal Interest Our Midwifery: Midwifery course is open to individuals who are committed to providing compassionate care, empowering birth experiences, and making a positive impact on the lives of expectant mothers and their babies. Requirements Midwifery and Maternity Care with Nursing: Midwifery course Online To enrol in this Midwifery and Maternity Care with Nursing: Midwifery course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Midwifery: Midwifery course. Be energetic and self-motivated to complete our Midwifery: Midwifery course. Basic computer Skill is required to complete our Midwifery: Midwifery course. If you want to enrol in our Midwifery: Midwifery course, you must be at least 15 years old. Career path Midwifery and Maternity Care with Nursing: Midwifery course Online The Midwifery and Maternity Care with Nursing: Midwifery course opens up a range of exciting opportunities for personal and professional growth. Here are some potential career paths you can pursue: Nurse Midwife Direct-Entry Midwife Midwifery Educator International Midwifery Midwifery Contracts Home Birthing