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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Clinical Cupping Therapy will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Clinical Cupping Therapy will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Clinical Cupping Therapy and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Clinical Cupping Therapy is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Clinical Cupping Therapy. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Clinical Cupping Therapy will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Introduction Welcome to my course! 00:01:00 Learn the 2 different cupping techniques in under 2 minutes 00:02:00 Ok, so let's get serious for a minute. What is so wrong about the red marks? 00:02:00 So How Does Cupping Work? 00:03:00 What Types Of Cups Should I Buy And Why? 00:03:00 These Cups People Swear By, But I have Just Had No Luck with Them 00:02:00 A Rundown On How To Do Cupping On Someone's Back 00:04:00 The Contraindications to Cupping 00:02:00 What should you do your treatment on? 00:01:00 Let's have a little practice shall we? 00:03:00 It's cupping time! The Upper Body And Limbs How this Section Of The Course Works 00:02:00 Neck Pain/Neck Tension 00:05:00 How To Do Cupping For Neck Pain And Tension 00:03:00 How To Do Cupping For The Neck On Someone Else 00:05:00 Some Advanced Techniques For Neck Pain And Tension 00:08:00 Neck Exercises To Relieve Pain 00:02:00 Shoulder/Rotator Cuff Pain/Shoulder Impingements 00:11:00 How To Do Cupping For Rotator Cuff and shoulder problems 00:12:00 Exercises to do for rotator cuff problems 00:06:00 Exercises For Frozen Shoulder 00:03:00 Extension Exercise For Upper Back Pain Relief 00:03:00 Chest/Respiration/Colds 00:05:00 Biceps Tendonitis/Upper Arm Pain 00:04:00 Tennis Elbow Pain/Forearm Extensor Pain 00:03:00 How To Do Cupping For Tennis Elbow And Extensors Pain 00:03:00 Home Exercises For Tennis Elbow 00:04:00 Golfers Elbow Pain 00:01:00 Carpal Tunnel Syndrome/Wrist Pain 00:02:00 How To Treat Carpal Tunnel Syndrome, Golfer's Elbow And Forearm Pain 00:03:00 Home Exercises For Carpal Tunnel Syndrome 00:01:00 Advanced Techniques For The Arms And Forearms 00:03:00 Hand/Thumb Pain 00:02:00 Home Trigger Point release Techniques For Thumb/Hand Pain 00:03:00 How To Do Cupping For Relaxation/Stress Relief 00:03:00 How To Do A Relaxing Cupping Massage For The Back And Neck 00:06:00 Frozen Shoulder 00:05:00 It's cupping time! The Lower Back And Limbs Welcome To Section 3 00:02:00 Lower Back Pain 00:04:00 How To Do Cupping For The Lower Back And Sciatica 00:07:00 Sciatica 00:05:00 Sciatica Summary 00:03:00 Hip Pain, Piriformis Syndrome, Bursitis, S.I. Joint Dysfunction And Buttock Pain 00:06:00 How To Do Cupping For Hip Pain 00:03:00 Hamstring Strains, Hamstring Pain 00:01:00 How To Do Cupping For The Hamstrings. 00:03:00 Thigh Pain and Groin Strains 00:01:00 How To Do Cupping For The Thigh (Quadriceps) and groin area 00:04:00 How To Do Cupping For Iliotibial Band Syndrome 00:03:00 Knee Pain, Runners Knee, Meniscal Pain 00:01:00 How To Do Cupping For Knee Pain 00:03:00 Calf Pain, Calf Cramps and Tired And Sore Calves 00:03:00 How To Do Cupping For The Calf 00:04:00 How To Stretch The Calf Muscles Correctly 00:02:00 Advanced Techniques For The Thighs, Hamstrings And The Lower Leg 00:01:00 Ankle Sprains, Chronic Ankle Pain 00:07:00 A Quick Word About Treating Acute Sprains And Strains 00:03:00 How To Do Cupping For Ankle Pain And Sprains 00:03:00 Treating Chronic Ankle Pain 00:03:00 Plantar Fasciitis/Heel Spur, Foot Pain and Tired Feet 00:02:00 How To Do Cupping For Plantar Fasciitis And Generalized Foot Pain 00:02:00 A Great Home Exercise For Plantar Fasciitis And Any Foot Pain 00:01:00 How Long Should You Stretch A Muscle For? Here is the answer 00:01:00 How Often Should You Treat Someone? 00:03:00 A Word about acupressure and also static cupping What about using static cupping? 00:02:00 Treating using acupressure points as well 00:03:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Math is one of the most essential skills in all aspects of our lives. However, it can be one of the most difficult for many of us to master. Learning math can be a daunting task when you do not have the right tools or the right materials, especially if you grew up believing that math is hard and that you will never understand it. The Mathematics for Beginners is designed to teach the elementary skills necessary to manipulate algebraic expressions and equations, and also places a strong emphasis on conceptual understanding. You will learn the connection between everyday life problems and the abstract world of mathematics. Using applied examples from a wide variety of topics ranging from finance to physics and life sciences, you will gain the ability to transform problems from a verbal description into the language of mathematics and solve them confidently by applying the rules of algebra. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Mathematics for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Mathematics for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Curriculum Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fraction 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Resources Resources - Mathematics for Beginners 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Master venipuncture and dermal puncture techniques with our Phlebotomist Training course. Learn about blood circulation, composition, equipment usage, quality management, infection control, and more.

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

Overview This comprehensive course on Electric Circuits for Electrical Engineering  will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Electric Circuits for Electrical Engineering comes with accredited certification from CPD, 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 Electric Circuits for Electrical Engineering. It is available to all students, of all academic backgrounds. Requirements Our Electric Circuits for Electrical Engineering 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 7 sections • 135 lectures • 10:29:00 total length •Module 1- What Is an Electric Circuit: 00:02:00 •Module 2-System of Units: 00:07:00 •Module 3- What Is an Electric Charge: 00:05:00 •Module 4- What Is an Electric Current: 00:08:00 •Module 5-Example 1: 00:09:00 •Module 6- Example 2: 00:02:00 •Module 7- Example 3: 00:13:00 •Module 8- What Is Voltage: 00:07:00 •Module 9- What Is Power: 00:06:00 •Module 10- What Is Energy: 00:04:00 •Module 11- Example 4: 00:03:00 •Module 12- Example 5: 00:02:00 •Module 13- Dependent and Independent Sources: 00:05:00 •Module 14- Example 6 Part 1: 00:04:00 •Module 15- Example 6 Part 2: 00:01:00 •Module 16- Application 1 Cathode Ray Tube: 00:04:00 •Module 17-Example 7: 00:04:00 •Module 18- Application 2 Electricity Bills: 00:02:00 •Module 19- Example 8: 00:03:00 •Module 1- Introduction to Basic Laws: 00:01:00 •Module 2- Definition of Resistance: 00:06:00 •Module 3- Ohm's Law: 00:02:00 •Module 4- Types of Resistances: 00:06:00 •Module 5- Open and Short Circuit: 00:05:00 •Module 6- Definition of Conductance: 00:04:00 •Module 7-Example 1: 00:01:00 •Module 8-Example 2: 00:01:00 •Module 9- Example 3: 00:03:00 •Module 10- Branch, Node and Loops: 00:07:00 •Module 11- Series and Parallel Connection: 00:04:00 •Module 12- KCL: 00:04:00 •Module 13- KVL: 00:03:00 •Module 14- Example 4: 00:05:00 •Module 15- Example 5: 00:02:00 •Module 16- Example 6: 00:06:00 •Module 17- Series Resistors and Voltage Division: 00:07:00 •Module 18-Parallel Resistors and Current Division: 00:12:00 •Module 19- Analogy between Resistance and Conductance: 00:07:00 •Module 20-Example 7: 00:03:00 •Module 21-Example 8: 00:04:00 •Module 22- Introduction to Delta-Wye Connection: 00:06:00 •Module 23-Delta to Wye Transformation: 00:05:00 •Module 24- Wye to Delta Transformation: 00:07:00 •Module 25-Example 9: 00:03:00 •Module 26- Example 10: 00:15:00 •Module 27- Application Lighting Bulbs: 00:03:00 •Module 28-Example 11: 00:05:00 •Module 1- Introduction to Methods of Analysis: 00:02:00 •Module 2- Nodal Analysis with No Voltage Source: 00:15:00 •Module 3-Example 1: 00:04:00 •Module 4-Cramer's Method: 00:04:00 •Module 5-Nodal Analysis with Voltage Source: 00:07:00 •Module 6- Example 2: 00:02:00 •Module 7- Example 3: 00:13:00 •Module 8-Mesh Analysis with No Current Source: 00:10:00 •Module 9-Example 4: 00:04:00 •Module 10- Example 5: 00:06:00 •Module 11-Mesh Analysis with Current Source: 00:07:00 •Module 12-Example 6: 00:08:00 •Module 13-Nodal Vs Mesh Analysis: 00:04:00 •Module 14-Application DC Transistor: 00:04:00 •Module 15-Example 7: 00:04:00 •Module 1-Introduction to Circuit theorems: 00:02:00 •Module 2-Linearity of Circuit: 00:07:00 •Module 3-Example 1: 00:04:00 •Module 4-Superposition Theorem: 00:07:00 •Module 5- Example 2: 00:04:00 •Module 6-Example 3: 00:06:00 •Module 7-Source Transformation: 00:08:00 •Module 8-Example 4: 00:05:00 •Module 9-Example 5: 00:03:00 •Module 10-Thevenin Theorem: 00:10:00 •Module 11-Example 6: 00:06:00 •Module 12-Example 7: 00:05:00 •Module 13- Norton's Theorem: 00:05:00 •Module 14-Example 8: 00:04:00 •Module 15-Example 9: 00:05:00 •Module 16-Maximum Power Transfer: 00:05:00 •Module 17-Example 10: 00:03:00 •Module 18-Resistance Measurement: 00:05:00 •Module 19-Example 11: 00:01:00 •Module 20-Example 12: 00:04:00 •Module 21-Summary: 00:05:00 •Module 1-Introduction to Operational Amplifiers: 00:03:00 •Module 2-Construction of Operational Amplifiers: 00:07:00 •Module 3-Equivalent Circuit of non Ideal Op Amp: 00:10:00 •Module 4-Vo Vs Vd Relation Curve: 00:04:00 •Module 5-Example 1: 00:09:00 •Module 6-Ideal Op Amp: 00:07:00 •Module 7- Example 2: 00:04:00 •Module 8-Inverting Amplifier: 00:05:00 •Module 9-Example 3: 00:02:00 •Module 10-Example 4: 00:02:00 •Module 11-Non Inverting Amplifier: 00:08:00 •Module 12-Example 5: 00:03:00 •Module 13-Summing Amplifier: 00:05:00 •Module 14-Example 6: 00:02:00 •Module 15-Difference amplifier: 00:06:00 •Module 16-Example 7: 00:08:00 •Module 17-Cascaded Op Amp Circuits: 00:06:00 •Module 18-Example 8: 00:04:00 •Module 19-Application Digital to Analog Converter: 00:06:00 •Module 20-Example 9: 00:04:00 •Module 21-Instrumentation Amplifiers: 00:05:00 •Module 22-Example 10: 00:01:00 •Module 23-Summary: 00:04:00 •Module 1-Introduction to Capacitors and Inductors: 00:02:00 •Module 2-Capacitor: 00:06:00 •Module 3-Capacitance: 00:02:00 •Module 4-Voltage-Current Relation in Capacitor: 00:03:00 •Module 5-Energy Stored in Capacitor: 00:06:00 •Module 6-DC Voltage and Practical Capacitor: 00:02:00 •Module 7-Example 1: 00:01:00 •Module 8-Example 2: 00:01:00 •Module 9-Example 3: 00:02:00 •Module 10-Equivalent Capacitance of Parallel Capacitors: 00:02:00 •Module 11-Equivalent Capacitance of Series Capacitors: 00:03:00 •Module 12-Example 4: 00:02:00 •Module 13-Definition of Inductors: 00:06:00 •Module 14-Definition of Inductance: 00:03:00 •Module 15-Voltage-Current Relation in Inductor: 00:03:00 •Module 16-Power and Energy Stored in Inductor: 00:02:00 •Module 17-DC Source and Inductor: 00:04:00 •Module 18-Example 5: 00:02:00 •Module 19-Series Inductors: 00:03:00 •Module 20-Parallel Inductors: 00:04:00 •Module 21-Example 6: 00:01:00 •Module 22-Small Summary to 3 Basic Elements: 00:02:00 •Module 23-Example 7: 00:05:00 •Module 24-Application Integrator: 00:05:00 •Module 25-Example 8: 00:03:00 •Module 26-Application Differentiator: 00:02:00 •Module 27-Example 9: 00:06:00 •Module 28-Summary: 00:05:00 •Assignment - Reporting and Data: 00:00:00

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