42856 Learning courses in London delivered Online

Highlights of the Course Course Type: Online Learning Duration: 6 Hours 3 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about French language Understand the core competencies and principles of French language Explore the various areas of French language Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert French language speaker French Language Learning Level 4 Online Training Course Master the skills you need to propel your career forward in French language. This course will equip you with the essential knowledge and skillset that will make you a confident French language speaker and take your career to the next level. This comprehensive French course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this French course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective French language practice and equip you with the essential skills, confidence and competence to assist you in the French language industry. You'll gain a solid understanding of the core competencies required to drive a successful career in French language. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for French language speaker or for people who are aspiring to specialize in French language. Enroll in this French course today and take the next step towards your personal and professional goals. Earn industry-recognized credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive French course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this French language can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This French course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This French course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This French course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction 00:03:00 Introduction B 00:03:00 Introduction C 00:03:00 Introduction D 00:03:00 Introduction E 00:03:00 Lesson 27 Lesson 27a 00:03:00 Lesson 27b 00:03:00 Lesson 27c 00:03:00 Lesson 27d 00:03:00 Lesson 27e 00:04:00 Lesson 27f 00:01:00 Lesson 27g 00:03:00 Lesson 27h 00:03:00 Lesson 27i 00:03:00 Lesson 27j 00:03:00 Lesson 27.5 Lesson 27.5a 00:04:00 Lesson 27.5b 00:04:00 Lesson 28 Lesson 28a 00:03:00 Lesson 28b 00:03:00 Lesson 28c 00:03:00 Lesson 28d 00:03:00 Lesson 28e 00:03:00 Lesson 28f 00:03:00 Lesson 28g 00:03:00 Lesson 28h 00:04:00 Lesson 28i 00:02:00 Lesson 28j 00:02:00 Lesson 28k 00:03:00 Lesson 28l 00:02:00 Lesson 29 Lesson 29a 00:03:00 Lesson 29b 00:03:00 Lesson 29c 00:02:00 Lesson 29d 00:03:00 Lesson 29e 00:03:00 Lesson 29f 00:03:00 Lesson 29g 00:03:00 Lesson 29h 00:02:00 Lesson 30 Lesson 30a 00:03:00 Lesson 30b 00:03:00 Lesson 30c 00:03:00 Lesson 30d 00:03:00 Lesson 30e 00:03:00 Lesson 30f 00:03:00 Lesson 30g 00:03:00 Lesson 30h 00:03:00 Lesson 30i 00:03:00 Lesson 30j 00:02:00 Lesson 31 Lesson 31a 00:03:00 Lesson 31b 00:03:00 Lesson 31c 00:03:00 Lesson 31d 00:03:00 Lesson 31e 00:03:00 Lesson 31f 00:03:00 Lesson 31g 00:03:00 Lesson 31h 00:02:00 Lesson 31i 00:03:00 Lesson 31j 00:03:00 Lesson 32 Lesson 32a 00:04:00 Lesson 32b 00:04:00 Lesson 32c 00:03:00 Lesson 32d 00:05:00 Lesson 32e 00:04:00 Lesson 32f 00:04:00 Lesson 32g 00:02:00 Lesson 32h 00:03:00 Lesson 32i 00:03:00 Lesson 32j 00:03:00 Lesson 32k 00:03:00 Lesson 32l 00:04:00 Lesson 32m 00:03:00 Lesson 32n 00:03:00 Lesson 32o 00:03:00 Lesson 32p 00:03:00 Lesson 32q 00:03:00 Lesson 32r 00:04:00 Lesson 33 Lesson 33a 00:03:00 Lesson 33b 00:03:00 Lesson 33c 00:03:00 Lesson 33d 00:03:00 Lesson 33e 00:03:00 Lesson 33f 00:04:00 Lesson 33g 00:04:00 Lesson 33h 00:04:00 Lesson 33i 00:03:00 Lesson 33j 00:03:00 Lesson 34 Lesson 34a 00:04:00 Lesson 34b 00:04:00 Lesson 34c 00:03:00 Lesson 34d 00:03:00 Lesson 34e 00:03:00 Lesson 34f 00:03:00 Lesson 34g 00:03:00 Lesson 34h 00:04:00 Lesson 35 Lesson 35a 00:03:00 Lesson 35b 00:03:00 Lesson 35c 00:03:00 Lesson 35d 00:03:00 Lesson 35e 00:03:00 Lesson 35f 00:02:00 Lesson 35g 00:03:00 Lesson 35h 00:03:00 Lesson 35i 00:03:00 Lesson 35j 00:03:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Get ready for an exceptional online learning experience with the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor package has something for everyone. As part of the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Bundle Comprises the Following CPD Accredited Courses: Introduction to VAT Tax Accounting Diploma Internal Audit Skills Diploma Business Accounting Training Bookkeeping & Accounting Payroll Management Course Corporate Finance Commercial law Business Law Financial Statements Fraud Detection Training Finance Principles Financial Reporting Debt Management - Online Course Hacked Credit and Debit Card Recovery Course Document Control Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor. Build a strong knowledge base in your chosen course via the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor. Benefit from the flexibility and convenience of online learning. With the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor, a rich anthology of 15 diverse courses. Each course in the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisVAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor bundle offers you the flexibility and convenience to learn at your own pace. Make the VAT, TAX, Accounting, Bookkeeping, Financial Analysis & Internal Auditor package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by The CPD Certification Service Who is this course for? 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Are you ready to unlock the secrets of fine chocolate? Whether you're a chocolate lover or just starting your journey into the world of craft chocolate, this beginner-friendly course is your gateway to understanding, appreciating, and distinguishing finely crafted, fine-flavour chocolate from regular chocolate. This self-paced, on-demand video course is designed to guide you through the fascinating journey of chocolate—from its origins to the art of tasting like a professional.

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

About this Training Course This 3 full-day course will provide insights into many aspects of operating the modern refinery as a business. This will include technical information on refining processes, crude oils and processing options, the place of the refinery in the value chain, refinery cost structure and management, optimization and profit margin, energy and oil loss reduction. This course will also address important management tools and techniques used for economic evaluations in refineries including future trends. This course will include presentations, simulations, a trading game, and exercises. This is an interactive session where participants can propose relevant topics upfront to discuss during class. This course can be further tailored for inexperienced or experienced personnel. Further customization can also include addressing a specific refinery, plant or unit. The option for post-course consultancy or help-desk support is also available. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By participating in this highly intensive course, participants will be able to: Understand the main functions in refining processes, configurations and its operating characteristics Analyse the choice of crude, processing options and desired products and product quality parameters Closely review refinery economics and planning, margins, costing & valuation including trading Apply the methodology of refinery optimization and product improvement Gain an application of analytical tools to refinery management, supply chain and their economic drivers Appreciate the current challenges, opportunities and future trends impacting the refining industry Target Audience This course will benefit all refinery technical personnel, operations' process engineers and process managers, technical services engineers and managers, refinery planners, newly-hired refinery personnel and current semi-technical personnel who require introductory training to acquire the broader perspective of refinery economics and supply. Course Level Basic or Foundation Trainer Your expert course leader is a passionate world-class expert with 35 years of international experience in Crude Oil, Refinery Planning and Masterplanning, Process Modelling, LP Modelling and Optimization Best Practices. He has a sound understanding of refinery processes and economics. After retiring from Shell in 2020, he is now a principal consultant for Crude Oil & Refinery Modelling. He enjoys dealing with challenging technical problems and opportunities to deliver value through practical solutions. He has a hands-on mentality, is flexible and builds strong relationship with clients. During his career, he coached many engineers and delivered countless inhouse and external courses on crude oil, hydrocracking and general refinery processes and economics at the Shell Open University and many other client locations. He authored and co-authored several publications and presentations at international conferences and has three patents to his name. He understands how to deliver outstanding services in sometimes difficult cultural and commercial situations, having worked for clients around the world. He works effectively in multi-disciplinary teams, has strong analytical and problem-solving skills as well as excellent consulting, facilitation and interpersonal and multilingual skills. He has an MSc in Chemical & Agricultural Engineering (cum laude) and a BSc in Chemical & Agricultural Engineering from the University Ghent, Belgium. He is currently the Principal Consultant for Crude Oil & Refinery Modeling at Petrogenium, the international, independent, technical consultancy in oil refining, petrochemicals, oil & gas production & renewable resources. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

About this Training Course Well interventions have a large opportunity to enhance well production if correctly designed and implemented. Conversely, they can have a large negative impact on production if they're not. The Well Intervention & Productivity School (WIPS) is designed to help well intervention specialists, well service supervisors, and petroleum engineers become more aware of the problems that can arise in the planning and execution of well interventions. This 5 full-day course is designed to make those that attend aware of how their job can directly impact the productivity. Early identification of problems in wells and effective interventions to fix problems can have a significant impact by minimising lost oil through formation damage and non productive time. As well as discussing best practice, time will be made available for discussion relating to specific problems that may be affecting fields operated by members of the class. The course is a mixture of informal teaching and lectures. In addition, group exercises are used to reinforce the subjects covered during the lectures. This encourages cross discipline awareness, communication and motivates team building. The course has recently been updated in the areas of Subsea and HPHT interventions. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completion of this course, the participants will be able to: Identify the main reasons for performing well interventions. Identify the main formation damage mechanisms and understand how to prevent them. Improve your knowledge and understanding of well barriers. Improve your knowledge of pumping and stimulation operations. Improve your knowledge of wireline, coiled tubing and hydraulic workover operations. Target Audience The course is aimed at all engineers and contractors involved in the planning and execution of well interventions. This is a school where engineers and supervisors can hone their skills, especially at a time when increased production is a high priority. In the past, course attendees have been a mix of Petroleum engineers, Well Intervention engineers, Reservoir and Drilling engineers, Production Operators, Wellsite supervisors, as well as Geologists. In recent years, delegates have come from a wide range of disciplines and backgrounds. Experience before coming on the course has varied from no field experience and no experience of planning and programming well interventions through to many years working in well interventions. In order to be able to best adapt the course to the delegates expectations, you will be required to submit a pre-course questionnaire upon submission of your registration. Course Level Intermediate Trainer Your expert course leader has over 40 years in the oil industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (mostly slickline), he joined BP as an offshore well service supervisor. He was responsible for the day-to-day supervision of well intervention work on many of BP's North Sea platforms and subsea wells. This included coil tubing, e-line, slickline, stimulation and well test operations. An office-based role as a well operations engineer followed. He was responsible for planning, programming and organising of all the well intervention work on the Bruce and later the Magnus fields. In 1995, he moved into completion design. Since then, he has designed many platform and sub-sea completions, often travelling to the rig site to oversee the installation. In addition to his day-to-day work as a completion engineer, he regularly teaches completion and well intervention courses all over the world. He is also the author of the book, Well Control for Completions and Interventions, Gulf Publishing - April 2018. He has also appeared as an expert witness ant the International Court of Arbitration.   POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

Course Description Pick up effective leadership and management skills from the Leadership and Management: Part 2 (Skills) course. This course will teach you valuable organisational skills. You will be able to elevate your communication abilities through the course. It will provide you with the key techniques of talent management. You will become competent in inspiring the employees. The Leadership and Management: Part 2 (Skills) course will show you the tips and tricks of negotiation. Join the course to master the skills of leadership and management. Learning outcome  Gain effective organisational skills Build excellent skills for communication Learn the process of talent management Grasp valuable negotiation strategies How Much Do Leaders Earn? Senior - £44,000(Appx.) Average - £26,000(Appx.) Starting - £19,000(Appx.) Requirement Our Leadership and Management: Part 2 (Skills) is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Leadership and Management: Part 2 (Skills) Module 01: Organisational Skills 00:26:00 Module 02: Communication Skills 00:27:00 Module 03: Talent Management 00:33:00 Module 04: Motivating Employees 00:26:00 Module 05: Negotiation Techniques 00:15:00 Assignment Assignment - Leadership and Management: Part 2 (Skills) 00:00:00

This course aims to provide learners with a comprehensive understanding of employee rewards and reward systems, and their role in promoting workplace fulfillment. By the end of this course, learners will be able to understand the concept of employee rewards and the different types of rewards available, including healthcare-specific systems. Learn about the different components of pay and how they can be used to motivate and reward employees. Develop skills in identifying development needs for healthcare employees and designing effective employee reward and recognition programs. Gain an understanding of the factors that influence employee remuneration, and how job evaluation processes can be used to evaluate and manage pay scales. After the successful completion of the course, you will be able to learn about the following, The Concept of Employee Rewards and Reward System. Objectives and Types of Types of Reward Systems. Types of Healthcare Reward Systems. Four Pillars of Workplace Fulfilment. Concept of Job Evaluation. Methods and Process of Job Evaluation. Concept of Employee Remuneration. Factors Influencing Employee Remuneration. Factors Influencing Healthcare Employee Remuneration. Components of Identifying Development Needs of The Healthcare Employees. This course aims to provide learners with a comprehensive understanding of employee rewards and reward systems. By the end of this course, learners will be able to understand the different types of rewards and reward systems available, including those specific to healthcare organizations. Develop skills in job evaluation and identify the factors that influence employee remuneration. Learn about the different components of pay and how they can be used to motivate and reward employees. Gain insight into identifying the development needs of healthcare employees and designing effective employee reward and recognition programs to promote workplace fulfilment. This course aims to provide learners with a comprehensive understanding of employee rewards and reward systems, and their role in promoting workplace fulfillment. By the end of this course, learners will be able to understand the concept of employee rewards and the different types of rewards available, including healthcare-specific systems. Learn about the different components of pay and how they can be used to motivate and reward employees. Develop skills in identifying development needs for healthcare employees and designing effective employee reward and recognition programs. Gain an understanding of the factors that influence employee remuneration, and how job evaluation processes can be used to evaluate and manage pay scales. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Reward Management in Health and Social Care - N Self-paced pre-recorded learning content on this topic. Reward Management in Health and Social Care Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Compensation and Benefits Manager Human Resources Manager Payroll Specialist Total Rewards Manager Employee Benefits Coordinator Talent Management Specialist Performance and Rewards Analyst Remuneration Specialist Employee Relations Consultant Healthcare Rewards Program Manager Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.