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Are you ready to embark on an enlightening journey of wisdom with the HR & Recruitment bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - HR and Recruitment Consultant Training. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: HR Management Course Course 02: Recruitment Consultant Diploma Course 03: Safer Recruitment Training Course 04: UK Employment Law Course 05: Certificate in HR Audit Course 06: Operations Management: Enterprise Resource Planning Course 07: HR Technology Implementation: Preparing Your Team for Success Course 08: Key Performance Indicators Professional Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the HR and Recruitment Consultant Training bundle illuminate your path to wisdom. The HR and Recruitment Consultant Training bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the HR and Recruitment Consultant Training package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the HR & Recruitment bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the HR and Recruitment Consultant Training community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the HR & Recruitment bundle. Establish robust bases across each course nestled within the HR & Recruitment bundle. Decipher intricate concepts through the articulate content of the HR & Recruitment bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the HR & Recruitment bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The HR & Recruitment bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the HR & Recruitment bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The HR & Recruitment bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the HR & Recruitment bundle allows learners to make meaningful contributions to their chosen fields. Embark on the HR & Recruitment journey and let knowledge guide you towards a brighter future. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This HR & RecruitmentBundle is perfect for: Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the HR & Recruitment bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the HR & Recruitment bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

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

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

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

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

Register on the Learn with Case Study - Market Research today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion. The Learn with Case Study - Market Research is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Learn with Case Study - Market Research Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Online study materials 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. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Learn with Case Study - Market Research, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Intro to Case Study 2 00:05:00 Section 02: Case Study Definition 00:12:00 Company Overview 00:07:00 Company Vision and Mission Statement 00:07:00 IRIC Mileposts 00:09:00 Company Product Portfolio 00:06:00 Company Financial Performance 00:02:00 Objective 00:06:00 Key Observations 00:07:00 Market Research Strategy 00:04:00 Pre Market Research Ethos 00:03:00 Geo Assessment Profile 00:13:00 Market Research Audit 00:08:00 PESTLE Analysis 00:09:00 Market Analysis 00:10:00 Market Segmentation 00:09:00 Market Segmentation Continue 00:09:00 SWOT Analysis 00:07:00 Market REsearch Architecture 00:04:00 Market REsearch Architecture 00:04:00 Market Research Process Continue 00:09:00 Report Structure and Course Contents 00:06:00 Evaluation and Course Correction 00:03:00 Objective Realization and Impact Analysis 00:05:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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