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24-Hour Flash Sale! Prices Reduced Like Never Before!! On a busy afternoon, you're cruising down the road, and suddenly, hear a monstrous HGV slow down while making a weird noise. Wouldn't it be great if you could fix it? Be the solution for this, as the UK automotive industry is projected to grow by 4% annually. This HGV Mechanic: Vehicle Maintenance Training Bundle can equip you with the skills to diagnose, repair, and maintain the lifeblood of its mighty HGVs. The "HGV Mechanic: Vehicle Maintenance Training" course bundle offers a curriculum designed to equip you with essential skills in vehicle maintenance and repair. Starting with Heavy Goods Vehicle (HGV) training, you'll gain specialised knowledge in handling large commercial vehicles. The Vehicle Mechanic Training course will provide a broad understanding of maintenance practices, while the Engine Lubricant System Training - Level 4 will dive into the specifics of engine care and lubrication. Additionally, the Electric Vehicle Battery Management System course ensures you stay ahead of the curve with the latest advancements in electric vehicle technology. Courses Are Included in this Bundle: Course 01:Heavy Goods Vehicle (HGV) Course 02: Vehicle Maintenance Training Course 03: Engine Lubricant System Training - Level 4 Course 04: Electric Vehicle Battery Management System Elevate your career prospects by enrolling in the "HGV Mechanic: Vehicle Maintenance Training" bundle. This program enhances your technical knowledge and positions you as a crucial player in the ever-evolving automotive and logistics sectors. Don't miss the opportunity to become a highly sought-after professional. Enrol today and accelerate your career in vehicle maintenance! Learning Outcomes of this Bundle: Master the maintenance and repair of Heavy Goods Vehicles (HGVs). Develop comprehensive skills in general vehicle mechanic practices. Gain advanced knowledge of engine lubrication systems. Understand and manage electric vehicle battery systems effectively. Enhance diagnostic skills for various vehicle maintenance issues. Learn to apply the knowledge in difficult scenarios. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Moreover, this diploma offers learners the opportunity to acquire a Certificate that is highly valued in the field of Vehicle Maintenance. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Vehicle Maintenance setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Vehicle Maintenance-related fields, impacting their Vehicle Maintenance experiences and long-term development. Course Curriculum Course 01: Heavy Goods Vehicle (HGV) Knowing Your LGV Characteristics of Vehicle Vehicle Limit Loads and Load Restraint Drivers' Hours and Records Vehicles and Driving Health and Conduct Your LGV Qualified LGV Driver Provisional LGV Licence CPC Test Part 01 and 02 CPC Test Part 03 and 04 Course 02: Vehicle Maintenance Training Car Maintenance Module 01: Introduction to Safety and Maintenance Module 02: General Maintenance Module 03: Dashboard Indicator Lights Module 04: Tyres Module 05: The Internal Combustion Engine Module 06: The Cooling System Module 07: The Fuel System Module 08: The Electrical System Module 09: The Drive Train Module 10: Brakes Module 11: Buying a Car Bicycle Maintenance Module 01: Know Your Bike Module 02: Must-Haves for Your Toolbox Module 03: Regular Bike Maintenance Module 04: Tyre Module 05: The Wheels Module 06: The Brakes Module 07: The Saddle Module 08: The Chain Module 09: The Steering System Module 10: The Gears Module 11: Pedals and Drivetrain Module 12: Suspension Motorbike Maintenance Module 01: Introduction to Motorbike Maintenance Module 02: Basics of Engine Module 03: Engine Cooling and Lubrication Module 04: Ignition Module 05: Suspension Module 06: Intake, Fuel, Clutch and Exhaust Systems Module 07: Electrical Maintenance Module 08: Wheels, Tires and Brakes Maintenance Module 09: Transmission, Frame and Steering Module 10: Cleaning, Setting Up and Storage Module 11: Troubleshooting Module 12: The Conclusion To The Course Course 03: Engine Lubricant System Training - Level 4 Module 01: Introduction Module 02: Contents Module 03: Oil Filters and Types Module 04: Lube Oil Coolers & Types Module 05: Basic Working of the Lubrication System Module 06: Properties and Additives Module 07: Designations of Lube Oils Module 08: Oil Analysis and Interpretation Module 09: Lubricating Circuit Problems Course 04: Electric Vehicle Battery Management System Section 01 - Introduction Section 02 - Passive Cell Balancing Section 03 - Voltage Measurement Section 04 - Current Measurement Section 05 - Temperature Measurement Section 06 - Coulomb Counting Section 07 - BMS IC Selection Section 08 - MCU For BMS Section 09 - Lithium-Ion Battery Cell Modeling Section 10 - UART Communication Section 11 - I2C Communication Section 12 - SPI Communication Section 13 - CAN Communication Section 14 - Power Management Section 15 - BMS Design For 12V Application How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*X4= £52) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring HGV mechanics Vehicle maintenance professionals Automotive technicians Electric vehicle specialists Logistics industry workers Career changers to mechanics Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. HGV Mechanic: £25,000 - £40,000 Vehicle Maintenance Technician: £22,000 - £35,000 Engine Specialist: £30,000 - £50,000 Electric Vehicle Technician: £28,000 - £45,000 Fleet Maintenance Manager: £35,000 - £55,000 Automotive Diagnostic Technician: £25,000 - £40,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

About this Training Course This 3 full-day course will provide a comprehensive understanding of the various types of transformer maintenance including breakdown maintenance, preventive maintenance, total productive maintenance, condition-based maintenance, proactive maintenance, and reliability-centered maintenance. All the expected problems in dry and oil-filled transformers will be discussed in detail. All the diagnostics, troubleshooting and maintenance required to ensure adequate operation of transformers will be covered thoroughly. This course will focus on maximizing the efficiency, reliability, and longevity of all types of transformers by providing an understanding of all commissioning requirements, repair and refurbishment methods of transformers. Training Objectives Equipment Diagnostics and Inspection: Learn in detail all the diagnostic techniques and inspections required of critical components of transformers Equipment Testing: Understand thoroughly all the routine tests, type tests, and special tests required for the various types of transformers Equipment Maintenance and Troubleshooting: Determine all the maintenance and troubleshooting activities required to minimize transformer downtime and operating cost Equipment Repair and Refurbishment: Gain a detailed understanding of the various methods used to repair and refurbish transformers Efficiency, Reliability, and Longevity: Learn the various methods used to maximize the efficiency, reliability, and longevity of transformers Equipment Sizing: Gain a detailed understanding of all the calculations and sizing techniques used for transformers Design Features: Understand all the design features that improve the efficiency and reliability of transformers Equipment Selection: Learn how to select all types of transformers by using the performance characteristics and selection criteria that you will learn in this course Equipment Commissioning: Understand all the commissioning requirements for transformers Equipment Codes and Standards: Learn all the codes and standards applicable for transformers Equipment Causes and Modes of Failure: Understand the causes and modes of failure in transformers System Design: Learn all the requirements for designing different types of transformer systems Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals (this course is suitable for individuals who do not have an electrical background) Course Level Basic or Foundation Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a copy of the following materials written by the instructor: Excerpt of the relevant chapters from the 'ELECTRICAL EQUIPMENT HANDBOOK' published by McGraw-Hill in 2003 (600 pages) Transformer Testing, Maintenance and Commissioning Manual (covering all the tests, maintenance activities, protective systems and all commissioning procedures for all types of transformers - 350 pages) Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. 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

Course Overview Learn all the essential skills to become an expert in Therapy. From this comprehensive Aromatherapy Advanced Diploma course, you will be able to understand the principles of Therapy. In the step-by-step training process, you will acquire practical skills along with theoretical knowledge. The Qualified professionals will assist you throughout this learning process.   This Aromatherapy Advanced Diploma is structured to ensure you have all the adequate skills to secure a position in this competitive industry. You will achieve the confidence and competency to bear all the responsibilities of this profession. The course will add all the right credentials to your resume and increase your employability in this growing industry.   Who is this course for? Anyone who is now employed in this field or who aspires to be one should take this course. Your knowledge will grow through taking this course, which will also strengthen your resume. To demonstrate your newly gained knowledge, develop crucial abilities and receive a professional credential. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The Aromatherapy Advanced Diploma course is intended to assist you in obtaining the dream job or maybe the promotion you've always desired. With the assistance and direction of our Aromatherapy Advanced Diploma course, learn the vital abilities and knowledge you require to succeed in your life.     Module: 01 Welcome to my course 00:01:00 Before we start 00:03:00 What is aromatherapy? 00:03:00 Where do plants have essential oils? 00:02:00 Why does the cost of essential oils vary so much? 00:02:00 What to look for when buying essential oils 00:06:00 How essential oils can be adulterated 00:05:00 I just bought some adulterated essential oils 00:04:00 Storing your essential oils 00:02:00 Best carrier oils for skin conditions and small areas 00:04:00 Dilution rates 00:07:00 What are think are the best carrier oils for massage 00:03:00 What on earth do these words mean? 00:01:00 Module: 02 If I only had lavender oil, what can I do with it? 00:08:00 A quick word about using lavender oil neat 00:02:00 Treating bites and stings with lavender 00:02:00 Lots of great ways to use lavender in your daily life 00:06:00 Module: 03 How does aromatherapy affect our minds and bodies? 00:07:00 What is the quickest base to get the oils absorbed into our bloodstreams? 00:02:00 How to increase your absorption rate even more 00:01:00 The garlic test 00:01:00 Module: 04 What you will learn in this section 00:02:00 The Steam and Water Distillation process 00:02:00 Cold expression 00:02:00 Solvent extraction 00:02:00 Carbon dioxide extraction 00:01:00 Enfleurage 00:01:00 Summary 00:03:00 Module: 05 Using essential oils safely is paramount 00:01:00 Some Good News For People With High Blood Pressure 00:01:00 Dealing with poisoning and skin reactions 00:06:00 A word about using citrus oils and photosensitivity 00:03:00 Oils that must be avoided in pregnancy and nursing mothers 00:01:00 What you should not do 00:01:00 Module: 06 Introduction to the ways to apply your aromatherapy 00:01:00 A Word About Aromatherapy Baths 00:02:00 Warm and Cold Compresses 00:04:00 Roller Balls 00:02:00 Bath and body products 00:01:00 Small topical creams, oils and lotions 00:01:00 Foot Baths 00:01:00 Steam Inhalation 00:02:00 Diffusers/inhalation 00:01:00 Full body massage 00:01:00 Room sprays 00:01:00 To summarize the best ways to apply aromatherapy for the various conditions 00:02:00 Module: 07 What we are going to go through from now on 00:02:00 Let's take a look at stress 00:02:00 A Handy List Of essential Oils For Emotional States 00:01:00 Stress and insomnia-which oils to use 00:08:00 What some studies say about helping anxiety and depression 00:03:00 Let's use this knowledge in a practical situation 00:06:00 Module: 08 Introduction 00:01:00 How to treat acute injuries 00:06:00 How to treat chronic pain 00:04:00 Headaches 00:02:00 How to treat arthritis 00:04:00 If I had just 1 essential oil to treat pain with, it would be this one 00:01:00 A 2018 Study on Knee Osteoarthritis Pain Using Lavender 00:01:00 A Study that increased Athletic Performance With Aromatherapy 00:01:00 Bruises 00:02:00 Varicose veins 00:02:00 Module: 09 Treating swelling, edema and cellulite 00:03:00 Module: 10 Treating Respiratory Disorders 00:04:00 Treating Sinusitis 00:02:00 Treating Asthma 00:02:00 Treating Chronic Bronchitis 00:01:00 Treating Hayfever 00:01:00 Treating allergies with the big 4 essential oils 00:01:00 Module: 11 Digestive disorders in general 00:04:00 Treating nausea 00:01:00 Treating Irritable Bowel Syndrome (IBS) 00:01:00 Treating Constipation 00:02:00 Treating Weight Loss 00:03:00 Module: 12 Treating Dysmenorrhea (painful periods) 00:02:00 Treating PMS 00:03:00 Treating Menopause 00:03:00 Module: 13 In general 00:01:00 A Handy List Of essential Oils For Skin Types 00:02:00 Treating Dermatitis/Eczema 00:03:00 Studies on using sandalwood for eczema and psoriasis 00:01:00 Psoriasis 00:02:00 Using tea tree for acne 00:02:00 Hair loss and scalp issues 00:02:00 Burns 00:03:00 Athletes foot 00:02:00 Scars 00:02:00 Wrinkles/anti-aging 00:02:00 Make your own anti-aging serum 00:01:00 Stretch marks oil 00:01:00 Hand sanitizer spray 00:01:00 Congratulations! 00:01:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Course Overview Soap making is a very interesting process, and it can also be an excellent earning source. You can easily learn how to make your own soap bars and create a business out of them from the Soap Making Business Diploma course. This course will guide you through steps from making soap to opening a business.  From the Sop Making Business Diploma course, you will receive detailed lessons on different types of soaps. The engaging modules will introduce you to the ingredients and equipment required to make soaps. This course will also educate you on a variety of soap making methods. In addition, you will understand how to choose the right oils and play with different colours. The best part of this course is it will teach you the strategies to start your own soap making business. This comprehensive Soap Making Business Diploma will help you develop the knowledge and ability to create quality soaps. Within no time, you will build the competence and confidence to establish the foundation of a successful business. Enrol now and kick-start your career. What You Will Learn Learn about different types of soaps Familiarise yourself with the essential ingredients Get introduced to the equipment used in soap making Learn about different methods of making soaps Know how to pick the correct oil and colour Learn some unique soap recipes Develop the skills and understanding to open your own soap business Why Should You Choose this Soap Making Business Diploma Course Lifetime access to the course No hidden fees or exam charges CPD Qualification Standards certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment, and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential Who is this Course for? The Soap Making Business Diploma course is for those who want to create their own soap making business. It will also be beneficial for people already working in this sector. Requirements Our Soap Making Business Diploma course is fully compatible with any kind of device. Whether you are using Windows computers, 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. Career Path This Soap Making Business Diploma course will assist you in pursuing a career in the relevant fields  Soap Maker Entrepreneur Diploma in Soap Making Business Module 01: Introduction to Soap Making 00:14:00 Module 02: Types of Soaps 00:15:00 Module 03: Soap Making Ingredients 00:25:00 Module 04: Equipment for Soap Making 00:21:00 Module 05: Different Ways to Make A Soap: Part-1 00:13:00 Module 06: Different Ways to Make A Soap: Part-2 00:16:00 Module 07: Understanding Oil Choices 00:24:00 Module 08: Playing with Colours 00:24:00 Module 09: Make Your Own Soap Bars: Part-1 00:21:00 Module 10: Make Your Own Soap Bars: Part-2 00:26:00 Module 11: Special Soap Recipes 00:27:00 Module 12: Soaps for Other Purposes 00:16:00 Module 13: Tips, Tricks and Precautions 00:20:00 Module 14: Troubleshooting 00:15:00 Module 15: Frequently Faced Confusions 00:20:00 Module 16: Open for Business 00:11:00 Module 17: Selling Your Beautiful Handmade Soaps 00:16:00

About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

What Will I Learn? Understand what binary options are Understand what news is important for financial markets Know where to find economic calendars for trading Learn how market participants react to news releases Be able to make a research to distinguish different trading patterns Learn how to make money using news releases Be able to create own strategy based on news statistics Requirements Just an open mind Basic knowledge of trading is welcome, but not obligatory Description This course is about how to make a profitable strategy trading only few times a week - only after important news releases. In this course I teach you how to identify trading patterns which usually happen after the most significant events take place and how to predict future price movement just knowing market participants reaction to this particular news. Why do I know that? Because participants often overestimate risks and underestimate the impact of a certain economic process for a certain currency. And you may use this market ineffectiveness opening binary options. After passing this course, you would be able to identify a trading pattern after a certain economic release. You'll also learn when open a trade and what expiration time to choose to make this strategy more profitable. I believe you will take advantage of trading binary options and it will help you to make profits. Take this course now and learn from my 12+ years of experience. This course is for beginners as well as for advanced traders! All you need is just your aspiration to learn! With this course you also get: unlimited lifetime access at no extra costs all future additional lectures, live trading examples never any questions asked full 30 day money-back-in-full guarantee Do not hesitate to ask me any questions concerning this course or trading financial markets! Viktor Who is the target audience? Anyone interested in trading Financial Markets Beginners and experienced traders who want to invest in binary options market People looking for investment opportunities Traders who want to learn trading patterns and integrate them into their own strategies About the course Introduction 00:04:00 Installation 00:04:00 Basic Knowledge about Binary Options What Binary Options Are 00:04:00 How to choose a broker 00:06:00 Platform Observation 00:04:00 Trading Binary Options on News Advantages and disadvantages of News Trading Strategy 00:02:00 Which calendar to choose when you trade binaries on Forex 00:03:00 What news is important 00:08:00 Where to find news calendar if you trade options on commodities 00:04:00 How to make a research 00:05:00 How and when initiate a trade 00:04:00 Forex Statistics How to trade 'Durable goods' releases 00:02:00 How to trade 'ADP Non-Farm Employment Change' releases 00:03:00 How to trade 'Retail Sales' (GB) releases 00:03:00 Commodities Statistics How to trade 'Crude Oil Inventories' 00:02:00 How to trade 'Natural Gas Inventories' 00:02:00 How to trade binaries on wheat after WASDE releases 00:02:00 How to trade binaries on corn after WASDE releases 00:02:00 Live Trade Examples USDJPY at Non-Farm 00:02:00 Crude Oil Inventories, 11th of May 00:02:00 Retail Sales (GBP), 19th of May 00:01:00

***24 Hour Limited Time Flash Sale*** Level 4 Environmental Health Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Did you know that in the UK, an estimated 9 million people live in areas exceeding air pollution limits? Environmental health professionals play a vital role in protecting our health and well-being from environmental hazards. Are you passionate about protecting the environment and want to make a real difference? If so, this comprehensive diploma course is the perfect place to begin your journey. This Environmental Health Diploma Course equips you with a broad and practical understanding of environmental issues and how they impact human health. The course covers a wide range of topics, from environmental legislation and sustainable energy to water treatment and wildlife rehabilitation. You'll gain the knowledge and skills to assess environmental risks, develop solutions, and promote a healthy and sustainable future. This Diploma in Environmental Health at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 120 CPD points)to make your skill development and career progression related to Environmental Health substantial and easier than ever! Courses Are Included in this Key Account Management Bundle: Course 01: Environmental Health Course 02: Environmental engineering Course 03: Diploma in Sustainable Energy Course 04: Conservation Diploma Course Course 05: Environmental Law Course 06: Environmental Awareness Training Course 07: Asbestos Awareness (Category A) Training Course Course 08: Renewable Energy: Solar Course 09: Oil and Gas Management Course 10: Geology Course 11: Ecology Course 12: Wildlife Rescue and Rehabilitation Course 13: Biotechnology Course 14: Agricultural Science Course 15: Forestry Course 16: Land Management Course 17: Diploma in Water Treatment Course 18: Carbon Literacy Knowledge Course 19: Meteorology Course 20: Marine Biology Course Enrol in this bundle today and unlock a world of opportunities in the environmental health domain. Invest in your professional growth and embark on a rewarding career path, making a positive impact on the world around us. After this Environmental Health course, you will be able to learn: Develop expertise in environmental health, engineering, and management best practices. Understand sustainable energy sources, conservation, and environmental law. Gain insights into renewable resources, oil and gas management. Explore ecology, wildlife rescue, biotechnology, and agricultural science. Learn about forestry, land management, water treatment, and carbon literacy. Implement environmental awareness and sustainable practices in various sectors. Why Choose Us? Get a Free CPD Accredited Certificate upon completion of Environmental Health Get a free student ID card with Environmental Health Training program (£10 postal charge will be applicable for international delivery) The Environmental Health is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Get Lifetime access to the Environmental Health course materials The Environmental Health comes with 24/7 tutor support Take a step toward a brighter future! *** Course Curriculum *** Course 01: Environmental Health Module 01: Intro to Environmental Health Module 02: Waste, Pollution, and Pollutants Module 03: Environment, Pollution, Climate Change, and Health Module 04: Recovering Resources and Managing Waste Module 05: Food Waste Module 06: Plastic Module 07: Air Pollution Module 08: Water Module 09: Environmental Sustainability Course 02: Environmental engineering Module 01: Introduction To Environmental Engineering Module 02: Environmental Pollutions Module 03: Wastewater Treatment Module 04: Drinking Water And Groundwater Treatment Module 05: Groundwater Hydrology Module 06: Air Pollution Air Pollution 00:16:00 Module 07: Solar Energy Module 08: Waste Disposal And Recycling Module 09: Land Management Module 10: Environmental Law Module 11: Sustainable Development Course 03: Diploma in Sustainable Energy Module 01: An Introduction to Sustainable Energy Module 02: Solar Energy: Thermal Module 03: Solar Energy: Photovoltaics Module 04: Wind Energy Module 05: Bioenergy Module 06: Geothermal Energy Module 07: Tidal Energy Module 08: Environmental Impacts: A Global and Regional Assessment Module 09: Renewable Energy and Sustainable Development Module 10: The Future of Renewable Energy in the UK into the 2020s and Beyond =========>>>>> And 17 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*20 = £259) CPD Hard Copy Certificate: Free ( For The First Course: Previously it was £29.99) CPD 320 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Individuals are interested in environmental health issues and public health. Professionals in the environmental sector seek to enhance their knowledge. Anyone looking to make a positive impact on the environment and health. Requirements You will not need any prior background or expertise to enrol in this Environmental Health course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Environmental Health Officer: £31,050 Average salary Waste Management Officer: £27,853 Average salary Sustainability Consultant: £32,676 Average salary Environmental Scientist: £29,690 Average salary Pollution Control Officer: £28,135 Average salary Climate Change Analyst: £30,225 Average salary Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Environmental Health at QLS Level 4 Hard copy certificate - £99 Please note that International students have to pay an additional £10 as a shipment fee.

Overview In this age of technology, data science and machine learning skills have become highly demanding skill sets. In the UK a skilled data scientist can earn around £62,000 per year. If you are aspiring for a career in the IT industry, secure these skills before you start your journey. The Complete Machine Learning & Data Science Bootcamp 2023 course can help you out. This course will introduce you to the essentials of Python. From the highly informative modules, you will learn about NumPy, Pandas and matplotlib. The course will help you grasp the skills required for using python for data analysis and visualisation. After that, you will receive step-by-step guidance on Python for machine learning. The course will then focus on the concepts of Natural Language Processing.  Upon successful completion of the course, you will receive a certificate of achievement. This certificate will help you elevate your resume. So enrol today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? Anyone with an interest in learning about data science can enrol in this course. It will help aspiring professionals develop the basic skills to build a promising career. Professionals already working in this can take the course to improve their skill sets. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush.   Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00

About this Virtual Instructor Led Training (VILT)  This 4 half-day Virtual Instructor Led Training (VILT) course will address a variety of contract and loan structuring issues associated with geothermal energy projects as well as comparison with solar, wind and battery storage. The course is designed to investigate how various project finance techniques and contract structures can be used to achieve a competitive power prices while maintaining a satisfactory equity return. Distinctive project finance features of power facilities that depend on geothermal, wind, hydro or solar resources will be evaluated with financial models. The course will cover economic analysis of exploration and development of geothermal facilities and how to incorporate probability of failure and success into an IRR framework. Subsequent sessions will address the theory underlying liquidated damages for delay, and performance as well as design of other incentives that is inherent in different contract structures. Nuanced project finance issues associated with structuring debt for renewable projects will be discussed including under what conditions the DSCR drives debt capacity and when the debt to capital ratio is instrumental. The course will be taught with a combination of theoretical discussions, term sheet review and focused financial models. Training Objectives Evaluation of the economic risks that arise from uncertainty associated with drilling exploration wells and development wells for geothermal projects. Analyse the theoretical issues with computing LCOE for geothermal projects compared to other renewable and non-renewable resources and the importance of cost of capital for renewable projects; Understand differences in contract structures for renewable projects and dispatchable projects and how a single price structure can distort incentives for efficient construction and operation; Understand components of financing that influence the bid price required to meet a required rate of return on equity and can result in relatively low prices with reasonable returns. Understand the importance of debt sizing constraints and what strategies are relevant when the debt to capital constraint applies relative to when the debt service coverage ratio drives the debt size; Understand how to compute P50, P90 and P99 for different projects driven by resource risk; Understand the difference between mean reverting resource variation and estimation mistakes that do not correct as the basis for 1-year P90 and 10-year P90. Understand under what conditions debt sculpting can affect returns and how synthetic sculpting can be used to increase returns when the DSCR constraint applies. Understand the theory of credit spreads, variable rate debt and interest rates in different currencies and compute the implied probability of default that in inherent in credit spreads. Understand how to evaluate the costs to equity investors and the benefits to lenders for various credit enhancements including DSRA accounts, cash flow sweeps and covenants. Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Trainer Your expert course leader provides financial and economic consulting services to a variety of clients, he teaches professional development courses in an assortment of modelling topics (project finance, M&A, and energy). He is passionate about teaching in Africa, South America, Asia and Europe. Many of the unique analytical concepts and modelling techniques he has developed have arisen from discussion with participants in his courses. He has taught customized courses for MIT's Sloan Business School, Bank Paribas, Shell Oil, Society General, General Electric, HSBC, GDF Suez, Citibank, CIMB, Lind Lakers, Saudi Aramco and many other energy and industrial clients. His consulting activities include developing complex project finance, corporate and simulation models, providing expert testimony on financial and economic issues before energy regulatory agencies, and advisory services to support merger and acquisition projects. Our key course expert has written a textbook titled Corporate and Project Finance Modelling, Theory and Practice published by Wiley Finance. The book introduces unique modelling techniques that address many complex issues that are not typically used by even the most experienced financial analysts. For example, it describes how to build user-defined functions to solve circular logic without cumbersome copy and paste macros; how to write function that derives the ratio of EV/EBITDA accounting for asset life, historical growth, taxes, return on investment, and cost of capital; and how to efficiently solve many project finance issues related to debt structuring. He is in the process of writing a second book that describes a series of valuation and analytical mistakes made in finance. This book uses many case studies from Harvard Business School that were thought to represent effective business strategies and later turned into valuation nightmares. Over the course of his career our key course expert has been involved in formulating significant government policy related to electricity deregulation; he has prepared models and analyses for many clients around the world; he has evaluated energy purchasing decisions for many corporations; and, he has provided advice on corporate strategy. His projects include development of a biomass plant, analysis and advisory work for purchase of electricity generation, distribution and transmission assets by the City of Chicago, formulation of rate policy for major metro systems and street lighting networks, advocacy testimony on behalf of low income consumers, risk analysis for toll roads, and evaluation of solar and wind projects. He has constructed many advisory analyses for project finance and merger and acquisition transactions. Lastly, our key course expert was formerly Vice President at the First National Bank of Chicago where he directed analysis of energy loans and also created financial modelling techniques used in advisory projects. He received an MBA specializing in econometrics (with honours) from the University of Chicago and a BSc in Finance from the University of Illinois (with highest university honours). 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 about post training coaching support and fees applicable for this. Accreditions And Affliations