8732 Confidence courses in Huntingdon delivered Online

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

Course Overview The Massage Therapy: Reflexology & Aromatherapy course is designed to provide a comprehensive foundation in holistic wellness practices that promote health and relaxation. Through an in-depth exploration of reflexology techniques, aromatherapy applications, and massage methodologies, learners will gain a solid understanding of how these therapies support physical and emotional well-being. This course introduces key principles of therapeutic touch, essential oil usage, and pressure point techniques, enabling students to build confidence in delivering targeted treatments for stress reduction, circulation improvement, and pain relief. Whether you're seeking to support clients' wellness journeys or broaden your expertise in natural therapies, this course offers accessible knowledge that complements a wide range of health-related disciplines. By the end, learners will have developed the competence to understand treatment principles, tailor approaches to client needs, and work ethically within wellness-focused settings. Course Description This course offers detailed guidance in the disciplines of massage therapy, reflexology, and aromatherapy. Learners will explore a variety of specialised areas such as deep tissue massage, lymphatic drainage, acupressure techniques, and Thai foot reflexology. The curriculum also covers the therapeutic use of essential oils and introduces the principles of physiotherapy to reinforce the understanding of bodily systems. Emphasis is placed on building theoretical knowledge, enhancing client interaction skills, and exploring the business aspects of a successful massage therapy practice. With a structured and accessible approach, the course prepares students to work confidently in wellness and health service environments, ensuring ethical practice, client care, and industry awareness. By engaging with a diverse set of modules, learners will be equipped with a versatile skillset applicable to various therapeutic and supportive roles across healthcare and wellbeing sectors. Course Modules: Module 01: Massage Therapist - A Successful Business Module 02: Deep Tissue Massage Therapy Module 03: Advanced Reflexology Module 04: Thai Foot Reflexology Module 05: Aromatherapy Acupressure - Pain Relief Module 06: Aromatherapy - Use of Essential Oils Module 07: Lymphatic Drainage Massage Therapy Module 08: Physiotherapy (See full curriculum) Who is this course for? Individuals seeking to enter the wellness and complementary health field. Professionals aiming to expand their expertise in massage or holistic therapies. Beginners with an interest in natural healing and stress management. Anyone considering a career change into the health and wellness industry. Career Path Massage Therapist Aromatherapy Practitioner Reflexologist Wellness Consultant Spa or Holistic Health Centre Assistant Health and Wellbeing Coach Physiotherapy Assistant Entrepreneur in Wellness Services

Course Overview The Computer Maintenance, PAT & Cyber Security course offers a comprehensive introduction to the essential components of modern IT systems, combining core knowledge in hardware setup, system troubleshooting, and security protocols. Designed to build foundational understanding as well as introduce advanced cybersecurity concepts, this course equips learners with the confidence to navigate today’s digital infrastructure. From building a computer to understanding network vulnerabilities, learners will explore a variety of modules that address both traditional and emerging technologies, including IoT and encryption. By the end of the course, students will have developed the skills to identify risks, support device performance, and understand secure systems architecture—essential for any role in technology-focused sectors. Course Description This course blends key topics across computer hardware maintenance, PAT (Portable Appliance Testing), and cyber security to prepare learners for a well-rounded understanding of IT system management. The curriculum begins with assembling and configuring computers, progressing into network security and advanced Windows troubleshooting. Learners are introduced to essential software tools and coding applications like C++ with OpenCV, and gain insights into the Internet of Things and encryption principles. Additionally, the course includes training in cyber security awareness, addressing the latest threats and preventative frameworks. With clear instructional guidance and structured content delivery, the course is suitable for learners aiming to understand technical environments and the protocols behind secure computing. It is ideal for those seeking career progression or looking to explore new opportunities in IT security, maintenance, or systems analysis. Course Modules: Module 01: Building Your Own Computer Module 02: Computer Networks Security from Scratch to Advanced Module 03: Computer Vision By Using C++ and OpenCV with GPU support Module 04: Advance Windows 10 Troubleshooting for IT HelpDesk Module 05: Portable Appliance Testing (PAT) Module 06: Internet of Things Module 07: Cyber Security Awareness Training Module 08: Encryption (See full curriculum) Who is this course for? Individuals seeking to understand IT maintenance and cybersecurity principles. Professionals aiming to broaden their knowledge of system configuration and data protection. Beginners with an interest in computer technology and digital safety. Employers looking to upskill their IT or facilities staff in security and device compliance. Career Path IT Support Specialist Systems Administrator Network Security Analyst Cyber Security Consultant Electrical Safety Compliance Officer Technical Services Coordinator

Course Overview The “ADHD, SEN, Autism & Child Care” course bundle provides a comprehensive foundation in child psychology, special educational needs, and behavioural development, equipping learners with the theoretical knowledge needed to support children with diverse learning profiles. Through in-depth exploration of ADHD, autism, SEN coordination, and cognitive development, this course delivers a solid understanding of how to promote inclusive, supportive learning environments. Learners will gain insight into developmental psychology, behavioural management strategies, and therapeutic practices such as play therapy and CBT. Designed for those aspiring to work in educational or care-based settings, this course helps develop confidence in navigating neurodiversity and child-centred support frameworks. On successful completion, learners will be better positioned to contribute meaningfully in child care, education support, or mental health-focused roles. Course Description This course bundle covers a wide range of topics essential for understanding and supporting children with additional needs. Learners will begin with ADHD awareness and expand into SEN coordination, gaining a clear picture of how to support children with learning difficulties in educational environments. Autism training and SEN teaching assistant modules explore common challenges and support methods, while the Child Psychology and Child Development modules deepen the understanding of emotional, cognitive, and social growth. The course also includes specialised training in CBT and play therapy, providing psychological frameworks for child-focused support. Each module is designed to enhance your theoretical understanding, helping you recognise behavioural patterns, develop care strategies, and work within inclusive educational or care frameworks. This course is suitable for aspiring professionals and those already working in education, childcare, or youth support roles who want to expand their expertise in SEN and child psychology. Course Modules: Module 01: ADHD Awareness Module 02: SENCO - Special Educational Needs Coordination Course Module 03: Autism Training Module 04: SEN Teaching Assistant Module 05: Child Psychology Diploma Module 06: Child Development and Care Module 07: Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course Module 08: Play Therapy (See full curriculum) Who is this course for? Individuals seeking to understand and support children with additional needs. Professionals aiming to advance their skills in educational or childcare settings. Beginners with an interest in child psychology, SEN, or developmental support. Teaching assistants, youth workers, and child care practitioners seeking career development. Career Path SEN Teaching Assistant Child Care Worker Youth Support Worker Behavioural Support Specialist Child Psychology Assistant Autism or ADHD Support Advisor Early Years Practitioner Learning Support Mentor

Course Overview This all-inclusive Mechanic Training – Car & Bike Maintenance course bundle is designed for those looking to build a strong foundation in vehicle servicing, maintenance, and diagnostics. Covering both two-wheelers and four-wheelers, this programme equips learners with essential knowledge across mechanical systems, fault detection, and routine upkeep. Whether you're looking to understand how engines operate, explore electrical and hybrid systems, or develop expertise in both traditional and modern vehicles, this training provides a diverse skill set tailored for today’s automotive industry. Upon completion, learners will have the theoretical knowledge to approach mechanical challenges confidently and pursue opportunities in various vehicle maintenance settings. With a structured curriculum and recognised certification, this course opens the door to a range of motor industry roles across garages, dealerships, and service centres. Course Description This comprehensive training package combines eight specialist courses that cover vital areas of automotive engineering and vehicle maintenance. Learners will explore key concepts in car and motorbike servicing, mechanical engineering, MET work, onboard diagnostics, and hybrid vehicle systems. The course also delves into bicycle maintenance and two-wheeler servicing to ensure a well-rounded understanding of all vehicle types. Each module is structured to guide learners through essential maintenance processes, diagnostic techniques, and component assessments. The learning experience is enriched with clear explanations, technical insights, and job-relevant scenarios. Whether preparing for a career in vehicle maintenance or aiming to broaden your automotive knowledge, this bundle offers a flexible and accessible route to developing industry-relevant skills. Learners will gain confidence in understanding engine systems, suspension setups, braking mechanisms, and electrical components essential for today’s automotive sector. Course Modules Module 01: Mechanical Engineering Module 02: Car Mechanic Training Module 03: Motorbike Maintenance Module 04: Bicycle Maintenance Course Module 05: Automotive Engineering: Onboard Diagnostics Module 06: MET Technician Module 07: Hybrid Vehicle Expert Training Module 08: Certificate Course In Two Wheeler Servicing (See full curriculum) Who is this course for? Individuals seeking to develop technical knowledge in vehicle maintenance. Professionals aiming to expand into multi-vehicle service roles. Beginners with an interest in automotive engineering or vehicle repair. Career changers looking to enter the motor industry. Career Path Car Mechanic Motorbike Technician MET Technician Diagnostic Specialist Hybrid Vehicle Specialist Bicycle Technician Automotive Service Advisor Vehicle Systems Analyst

Course Overview This comprehensive Workplace Safety – Asbestos & COSHH Training course is designed to equip learners with essential knowledge of hazardous substances, safety regulations, and risk assessment procedures. It covers critical subjects such as asbestos awareness, COSHH regulations, fire safety, and chemical spill response, empowering individuals to uphold safety standards in any professional environment. Whether you're new to workplace safety or looking to reinforce your compliance knowledge, this course ensures you understand how to identify, report, and manage potential hazards in line with UK health and safety legislation. By completing this training, learners will gain the confidence to support a safer workplace, meet employer and legal requirements, and contribute to a healthier work culture across sectors such as construction, manufacturing, education, and care. This course is also valuable for those pursuing roles with responsibility for safety assessments or compliance monitoring within their organisation. Course Description The Workplace Safety – Asbestos & COSHH Training course offers in-depth guidance on handling hazardous materials and navigating high-risk scenarios. Topics include the dangers and regulations surrounding asbestos, COSHH assessments, confined space awareness, chemical spill response, and essential workplace first aid. Additionally, learners will study broader workplace health and safety practices, ensuring a well-rounded understanding of legislative duties, hazard control, and preventative measures. Throughout the course, learners will develop the ability to interpret health and safety protocols, implement best practices, and support regulatory compliance. The training is aligned with UK industry requirements, offering insights into effective safety planning and emergency procedures. This course suits both those with responsibilities in health and safety and those looking to improve their knowledge to support safe operational standards in various workplace settings. Course Modules: Module 01: Asbestos Awareness & Safety Module 02: COSHH Training for Assessors Module 03: Working in Confined Spaces Module 04: Chemical Spill Module 05: Spill Management Training Module 06: Fire Safety Module 07: Workplace Health and Safety Diploma Module 08: First Aid at Work (See full curriculum) Who is this course for? Individuals seeking to understand health and safety obligations in the workplace. Professionals aiming to improve compliance knowledge and safety awareness. Beginners with an interest in occupational health and safety practices. Supervisors, HR personnel, and compliance officers responsible for workplace risk. Career Path Health and Safety Officer Compliance Coordinator Site Supervisor Risk Assessor Facilities Manager Warehouse or Construction Safety Personnel HR and Operations Manager

Course Overview The Health and Social Care Level 5 Diploma is a comprehensive qualification designed to enhance learners' understanding of the UK’s care sector, including the ethical, legal, and professional frameworks that govern it. This course explores the critical responsibilities of care professionals, including safeguarding practices, communication strategies, and equality promotion within diverse care environments. Learners will gain a deep appreciation for the significance of person-centred care and the regulatory policies shaping health and social care in the UK. By the end of the course, participants will be well-prepared to step into leadership and supervisory roles, offering informed guidance and supporting quality standards in a variety of care settings. Course Description This diploma covers essential concepts such as safeguarding vulnerable adults, managing risks, promoting diversity, and upholding individual rights within health and social care environments. Learners will develop a solid grasp of professional ethics, communication relevance, and policy implementation within the scope of their roles. The course is delivered in a structured format, ensuring clarity and coherence as learners progress through each module. Participants will understand the intricacies of caregiving responsibilities, from legal duties to organisational procedures, gaining the confidence to uphold high standards in care delivery. Designed to align with industry expectations and UK compliance requirements, this qualification empowers learners with the knowledge needed to support individuals with dignity, empathy, and a firm understanding of professional obligations. Course Modules: Module 01: Introduction to Health and Social Care Module 02: Communication and Its Relevance Module 03: Rights and Responsibilities as a Health and Social Care Worker Module 04: Role as A Caregiver and Healthcare Professional Module 05: Working in Health and Social Care: Promoting Equality, Diversity and Rights Module 06: Important Principles and Policies in Health and Social Care Work Module 07: Safeguarding Vulnerable Adults Module 08: Health and Safety Responsibilities Module 09: Risk Management in Health and Social Care (See full curriculum) Who is this course for? Individuals seeking to build a foundation for supervisory roles in care. Professionals aiming to deepen their knowledge of care standards and regulatory responsibilities. Beginners with an interest in health, social care, or community support. Volunteers or support workers aspiring to gain formal recognition. Career Path Health and Social Care Supervisor Residential Care Manager Community Support Worker Health Services Coordinator Care Quality Assurance Officer Social Care Team Leader

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