618 Oil courses in Hale delivered On Demand

The International Massage Diploma course is designed for anyone who is passionate about massage and wants to start a career as a massage therapist. The course provides insight into all aspects of massage, ensuring you get a complete overview that you can use to secure a position within the massage industry.   Introduction to International Massage Diploma This industry recognised diploma comprises of nineteen modules. Each module is brimming with valuable information, techniques, advice and more to help you achieve success as a massage therapist. The modules include the convenience of video tutorials, providing you with advice and assistance when it comes to various techniques. The complete course takes around twenty hours to complete. This can be studied in your own time, at your own pace and wherever you feel most comfortable. You can access your course modules on any device, whether it's a desktop computer on your desk at home, your tablet or your mobile phone. During your studies you will have access to an online tutor who is always on hand to assist you as you may need. Further good news regarding the International Massage Diploma is that it is open to anyone, there are no entry requirements.   What you Will Learn During this course you will learn everything you need to know when starting a career as a massage therapist. On completion you will be awarded a certificate as proof that you have the knowledge and insight you need to secure a position within the massage industry.   Get an understanding about massage therapy, its history, how it is used and the physical and psychological effects massage can have on the body. Understand the human body from the skeleton to the central nervous system. Knowing the body's anatomy can help you become a successful therapist in the future. Learn about massage equipment from how to use massage tables to the various types of oil you can use. Understand why listening skills are so important to your success as a massage therapist. Get an understanding of the different massage techniques you can use. Also learn more about alternative therapies and reflexology. Use the video guides to determine how to use your new found techniques to assist your clients. Learn how to perform Indian head massages, facial massages, pregnancy massages. Identify the correct techniques you should be using for each part of the body. Know what should always be discussed with your client at initial consultations to ensure you know what services they need. A guide to medical massage, understand how to provide massage for special groups and how massage can be beneficial when it comes to certain illnesses. Identify what techniques you should be using when you massage a baby and how this can be beneficial to both the mother and the baby. Learn more about aromatherapy and how you can use this in conjunction with massage. Learn about the different oils and what they are used for. You will also gain valuable insight into why oils are so important in aromatherapy.   Benefits of the International Massage Diploma Anyone interested in working in the field of massage therapy will benefit from completing this information packed course, with the advantage of video tutorials to teach you essential techniques. The course is overflowing with benefits, these include: Get your foot in the door by having a basic knowledge and understanding of massage from day one. Enjoy the convenience of a certification to prove your ability and offer an industry recognised certification to potential employers. Gain experience and knowledge in terms of massage therapy, what it entails and how to complete various techniques. Get insider advice and tips to achieve success. Study online in the convenience of your own home and at your own pace. Study on any device. Enjoy the convenience of ongoing support and guidance throughout your studies from an experienced tutor.

Register on the DIY Soap Making today and build the experience, skills and knowledge you need to enhance your expert 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 a proof of your course completion. The DIY Soap Making course 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 Out Of Studying DIY Soap Making With Janets Receive a e-certificate upon successful completion of the course Get taught by experienced, expert 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) Description The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99.00. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets 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. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who Is This Course For The DIY Soap Making is ideal for those who already work in this sector or are an aspiring experts . This DIY Soap Making course is designed to enhance your expertise and boost your CV. Learn key skills and gain a expert lesson to prove your newly-acquired knowledge. Requirements The DIY Soap Making is open to all students and has no formal entry requirements. To study the DIY Soap Making course, 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. Career Path The DIY Soap Making is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the DIY Soap Making and gain an industry-acknowledged lesson that will help you excel in finding your ideal job. Course Content Module 01: Introduction to Soap Making Introduction to Soap Making 00:16:00 Module 02: Types of Soaps Types of Soaps 00:17:00 Module 03: Soap Making Ingredients Soap Making Ingredients 00:27:00 Module 04: Equipment for Soap Making Equipment for Soap Making 00:23:00 Module 05: Different Ways to Make A Soap: Part-1 Different Ways to Make a Soap Part-1 00:15:00 Module 06: Different Ways to Make A Soap: Part-2 Different Ways to Make a Sopa Part-2 00:18:00 Module 07: Understanding Oil Choices Understanding Oil Choices 00:26:00 Module 08: Playing with Colours Playing with Colours 00:26:00 Module 09: Make Your Own Soap Bars: Part-1 Make Your Own Soap Bars Part-1 00:23:00 Module 10: Make Your Own Soap Bars: Part-2 Make Your Own Soap Bars Part-2 00:28:00 Module 11: Special Soap Recipes Special Soap Recipes 00:29:00 Module 12: Soaps for Other Purposes Soaps for Other Purposes 00:18:00 Module 13: Tips, Tricks and Precautions Tips, Tricks and Precautions 00:22:00 Module 14: Troubleshooting Troubleshooting 00:17:00 Module 15: Frequently Faced Confusions Frequently Faced Confusions 00:22:00 Module 16: Open for Business Open for Business 00:13:00 Module 17: Selling Your Beautiful Handmade Soaps Selling Your Beautiful Handmade Soaps 00:18:00 Mock Exam Mock Exam - DIY Soap Making 00:20:00 Final Exam Final Exam - DIY Soap Making 00:20:00 Assignment Assignment - DIY Soap Making 2 weeks, 1 day Order Your Certificate Order your Certificate QLS 00:00:00

Description Moon Magic Diploma Discover the ethereal realm of the celestial body that governs the night - the moon. With the Moon Magic Diploma, aspiring lunar enthusiasts and seekers of mystic knowledge can embark on a journey to uncover the secrets of moon magic and its profound influences. The course begins with an enlightening 'Introduction to Moon Magic'. Here, one can learn about the fundamentals and history of moon magic, setting a solid foundation for the modules that follow. Understanding the significance of the moon, its cycles, and its energies is crucial, and this diploma will ensure learners acquire a deep understanding of these aspects. Next, students explore the 'Full Moon and other Important Phases'. These are the moments when the moon's energy is at its zenith, offering the greatest potential for harnessing its magic. By knowing the intricacies of each phase, one can align their spiritual practices accordingly. The 'Cultural Beliefs' segment of the Moon Magic Diploma provides a perspective into the different global beliefs and traditions associated with the moon. From ancient civilisations to modern communities, the moon has played a pivotal role in shaping beliefs and practices. 'Harnessing Moon Magic with Herbs and Nature' takes learners on an enchanting voyage into the natural world. Nature is brimming with materials that amplify moon magic, and this module helps in identifying and utilising them to their maximum potential. Similarly, the power of 'Crystals and Gems' in moon magic is undeniable. This section reveals the different crystals and gems that resonate best with lunar energies and how to employ them in one's magical endeavours. The 'Essential Oils and Candles' module illuminates the senses, explaining how these elements can complement moon magic practices. Whether for healing, protection, or amplification, the right oil or candle can make all the difference. Moon Magic Diploma then segues into 'Moon Astrology and Tarot'. This integration of the moon, stars, and cards provides a holistic view of moon magic, granting learners insights into the future and the energies at play. 'Rituals and Spells' are the practical applications of all the knowledge acquired. The course offers well-detailed guidance on conducting powerful moon magic rituals and spells, ensuring that students can wield the moon's energy with expertise. 'Daily Moon' emphasises the influence of the moon on everyday life. From the food we eat to the mood we're in, the moon silently weaves its magic every day. Understanding and tapping into this daily influence can bring about positive changes in one's life. Finally, 'Beyond Moon Magic' extends the horizon of learning, touching upon advanced topics and practices that go beyond traditional moon magic. This ensures that the Moon Magic Diploma isn't just about the basics; it takes students a step further into the world of mysticism. Offered exclusively online, this course offers flexibility and convenience, allowing learners to progress at their own pace. Whether one is a novice or has some prior knowledge, the Moon Magic Diploma offers a comprehensive and enriching experience that promises to illuminate and empower. Join this journey to tap into the moon's timeless energy and discover the transformative magic it holds. The Moon Magic Diploma awaits those eager to learn and harness the ethereal power of the moon. What you will learn 1:Introduction to Moon Magic 2:Full Moon and other Important Phases 3:Cultural Beliefs 4:Harnessing Moon Magic with Herbs and Nature 5:Harnessing Moon Magic with Crystals and Gems 6:Essential Oils and Candles 7:Moon Astrology and Tarot 8:Rituals and Spells 9:Daily Moon 10:Beyond Moon Magic Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

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Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Uplift your career as a successful logistics manager and manage the productivity of warehouse and distribution centres with this Logistics Management course. This intensive Logistics Management course explores the evolution of the supply chain, supply chain structure and warehouse inventory. Throughout this Logistics Management Bundle, you will step into the shoes of a supply chain manager, developing essential logistics skills along the way. You will learn how to identify and manage risks in the supply chain, evaluate employees and ensure health and safety in the workplace at all times. This Logistics Management course also introduces Lean methodology and the principles of Lean business for process improvement. Key topics include monitoring the flow of goods, warehousing and stock control. Along with this Logistics Management course, you will get 10 Additional Career development courses, an original hardcopy certificate, transcript and a student ID card, which will allow you to get discounts on things like music, food, travel and clothes etc. Courses are included with this Diploma in Logistics Management Bundle: Course 1: Logistic Management Course 2: Freight Consultant Training Course 3: Logistics of Crude Oil and Petroleum Products Course 4: Purchasing & Procurement Course - Level 3 Course 5: Cost Control Process and Management Course 6: Risk Management Course 7: Warehouse Safety Course 8: Working Effectively Across Cultures Course 9: Effective Communication Skills Diploma Course 10: First Aid Training Course 11: Time Management Quickly gain the ability to manage the resources and stock in your business and boost your career potential in your chosen field. This course will train you in the most efficient ways that you can control essential materials and negotiate successfully with vendors. Diploma in Logistics Management has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. Highlights of The Logistics Management Training: Familiarise with the day-to-day duties of a supply chain manager Understand the evolution of the supply chain concept Develop your understanding of the supply chain structure Be able to identify and manage risks in the supply chain Discover a wide range of sustainable supply chain strategies Gain an understanding of Lean methodology & the principles of Lean business Familiarise with the tools required for process improvement Sharpen your logical thinking, planning and organisational skills and much more... So enrol now in this Logistics Management Bundle to advance your career! Course Curriculum Course 1: Logistic Management Introduction Planning Framework for Logistics Logistics Management and Organisation Sourcing, Purchasing, and Procurement Channels of Distribution Inventory Planning and Management Principles of Warehousing Negotiation Techniques Customer Service and Logistics And Much More... How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) P.S. The delivery inside the U.K. is Free. International students have to pay a £3.99 postal charge. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Logistics management bundle. Requirements This Logistics management course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

24 Hour Flash Deal **25-in-1 Artful Healing: The Power of Art Therapy Unleashed Mega Bundle** Artful Healing: The Power of Art Therapy Unleashed Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Artful Healing: The Power of Art Therapy Unleashed package online with Studyhub through our online learning platform. The Artful Healing: The Power of Art Therapy Unleashed bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Artful Healing: The Power of Art Therapy Unleashed course provides complete 360-degree training on Artful Healing: The Power of Art Therapy Unleashed. You'll get not one, not two, not three, but twenty-five Artful Healing: The Power of Art Therapy Unleashed courses included in this course. 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24 Hour Flash Deal **25-in-1 Holistic Health: Discovering the World of Allied Health Mega Bundle** Holistic Health: Discovering the World of Allied Health Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Holistic Health: Discovering the World of Allied Health package online with Studyhub through our online learning platform. The Holistic Health: Discovering the World of Allied Health bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Holistic Health: Discovering the World of Allied Health course provides complete 360-degree training on Holistic Health: Discovering the World of Allied Health. You'll get not one, not two, not three, but twenty-five Holistic Health: Discovering the World of Allied Health courses included in this course. 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Here's what you get: Step by step Holistic Health: Discovering the World of Allied Health lessons One to one assistance from Holistic Health: Discovering the World of Allied Healthprofessionals if you need it Innovative exams to test your knowledge after the Holistic Health: Discovering the World of Allied Healthcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Holistic Health: Discovering the World of Allied Health courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Holistic Health: Discovering the World of Allied Health certificate and transcript on the next working day Easily learn the Holistic Health: Discovering the World of Allied Health skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00