6161 Flexibility courses in Coventry delivered Online

Overview This Power Electronics for Electrical Engineering course will unlock your full potential and will show you how to excel in a career in Power Electronics for Electrical Engineering. So upskill now and reach your full potential. Everything you need to get started in Power Electronics for Electrical Engineering is available in this course. Learning and progressing are the hallmarks of personal development. This Power Electronics for Electrical Engineering will quickly teach you the must-have skills needed to start in the relevant industry. In This Power Electronics for Electrical Engineering Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Power Electronics for Electrical Engineering skills to help you advance your career. Acquire a comprehensive understanding of various Power Electronics for Electrical Engineering topics and tips from industry experts. Learn in-demand Power Electronics for Electrical Engineering skills that are in high demand among UK employers, which will help you to kickstart your career. This Power Electronics for Electrical Engineering course covers everything you must know to stand against the tough competition in the Power Electronics for Electrical Engineering field.  The future is truly yours to seize with this Power Electronics for Electrical Engineering. Enrol today and complete the course to achieve a Power Electronics for Electrical Engineering certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Power Electronics for Electrical Engineering course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Power Electronics for Electrical Engineering course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Power Electronics for Electrical Engineering course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Power Electronics for Electrical Engineering is suitable for anyone aspiring to start a career in Power Electronics for Electrical Engineering; even if you are new to this and have no prior knowledge on Power Electronics for Electrical Engineering, this course is going to be very easy for you to understand.  And if you are already working in the Power Electronics for Electrical Engineering field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Power Electronics for Electrical Engineering course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Power Electronics for Electrical Engineering course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Power Electronics for Electrical Engineering course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Power Electronics for Electrical Engineering course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Unit 1- Introduction to Power Electronics Components Module 1- Introduction to Power Electronics 00:13:00 Module 2- Uncontrolled Switches 00:17:00 Module 3- What is the Benefit of Diode 00:06:00 Module 4- Semi-Controlled Switches Part 1 00:09:00 Module 5- Semi-Controlled Switches Part 2 00:14:00 Module 6- Semi-Controlled Switches Part 3 00:05:00 Module 7- What is the Benefit of Thyristor 00:05:00 Module 8- Fully Controlled Switches Part 1 00:17:00 Module 9- Fully Controlled Switches Part 2 00:10:00 Module 10- Fully Controlled Switches Part 3 00:12:00 Unit 2- Fundamentals of Rectifier Circuits Module 1- Overview on Rectifiers 00:02:00 Module 2- Rectifier Definition 00:01:00 Module 3- Half Wave Uncontrolled Rectifier with R Load 00:21:00 Module 4- Example on Half Wave Uncontrolled Rectifier with R Load Part 1 00:06:00 Module 5- Example on Half Wave Uncontrolled Rectifier with R Load Part 2 00:07:00 Module 6- Half Wave Uncontrolled Rectifier with RL Load 00:10:00 Module 7- Derivation of the Discontinuous Current in R-L Load 00:08:00 Module 8- Freewheeling Diode (Commutation Diode) 00:03:00 Module 9- Half Wave R-L Load with FWD 00:09:00 Module 10- Difference Between Continuous and Discontinuous Mode in RL Load 00:07:00 Module 11- Half Wave RL Load with FWD Continuous Mode 00:06:00 Module 12- Example on Half Wave Rectifier with FWD 00:07:00 Module 13- Bridge Full Wave Uncontrolled Rectifier Part 1 00:07:00 Module 14- Bridge Full Wave Uncontrolled Rectifier Part 2 00:05:00 Module 15- Quick Revision on Bridge Full Wave Uncontrolled Rectifier 00:06:00 Module 16- Firing Angle 00:02:00 Module 17- Half Wave Controlled Rectifier R Load 00:05:00 Module 18- Half Wave Controlled Rectifier R-L Load 00:04:00 Module 19- Half Controlled R-L Load with FWD 00:06:00 Module 20- Example 1 00:07:00 Module 21- Example 2 00:08:00 Module 22- Example 3 00:13:00 Module 23- Example 4 00:09:00 Module 24- Example 5 00:05:00 Module 25- Fully Controlled Bridge Rectifier Part 1 00:06:00 Module 26- Fully Controlled Bridge Rectifier Part 2 00:06:00 Module 27- Quick Revision on Bridge Full Wave Controlled Rectifier 00:02:00 Module 28- Example 6 00:08:00 Module 29- Half Controlled Bridge Rectifier 00:08:00 Module 30- Half Controlled Bridge Rectifier with FWD 00:05:00 Module 31- Example 7 00:06:00 Module 32- Example 8 00:07:00 Module 33- Performance Parameters 00:04:00 Module 34- Power Factor 00:04:00 Unit 3- Fundamentals of AC Choppers Module 1- Introduction to AC Choppers 00:02:00 Module 2- Definition of AC Choppers 00:05:00 Module 3- Switching Techniques in AC Choppers 00:06:00 Module 4- Applications on AC Choppers 00:03:00 Module 5- Types of AC Choppers 00:02:00 Module 6- AC Chopper with R Load 00:14:00 Module 7- Example 1 on AC Chopper with R Load 00:06:00 Module 8- Example 2 on AC Chopper with R Load 00:04:00 Module 9- AC Chopper with L Load Part 1 00:13:00 Module 10- AC Chopper with L Load Part 2 00:06:00 Module 11- Example on AC Chopper with L Load 00:08:00 Module 12- AC Chopper with RL Series Load 00:20:00 Module 13- Example on AC Chopper with RL Series Load 00:07:00 Module 14- AC Chopper with RL Parallel Load 00:25:00 Module 15- Example on AC Chopper with RL Parallel Load 00:06:00 Module 16- AC Chopper with Pure Capacitive Load 00:14:00 Module 17- Example on AC Chopper with Pure Capacitive Load 00:04:00 Module 18- AC Chopper Loaded by Heavy Rectifier 00:06:00 Module 19- AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:12:00 Module 20- Example on AC Chopper Loaded by an AC Motor with Sinusoidal Back Emf 00:08:00 Module 21- Integral Cycle Control 00:11:00 Module 22- Example on Integral Cycle Control 00:04:00 Unit 4- Fundamentals of DC Choppers Module 1- Introduction to DC Choppers 00:02:00 Module 2- Definition and Application of DC Choppers 00:05:00 Module 3- Step down DC Chopper with R Load 00:12:00 Module 4- Example on Step Dwon DC Chopper with R Load 00:08:00 Module 5- Generation of Duty Cycle 00:09:00 Module 6- Switching Techniques 00:03:00 Module 7- Step Down DC Chopper with RLE Load Part 1 00:19:00 Module 8- Step Down DC Chopper with RLE Load Part 2 00:15:00 Module 9- Example 1 on Step Down DC Chopper with RLE Load 00:13:00 Module 10- Example 2 on Step Down DC Chopper with RLE Load 00:02:00 Module 11- Step Up DC Chopper with R or RL Load 00:09:00 Module 12- Step Up DC Chopper with RE Load 00:15:00 Module 13- Example on Step Up DC Chopper with RE Load 00:20:00 Module 14- Buck Regulator Part 1 00:16:00 Module 15- Buck Regulator Part 2 00:17:00 Module 16- Example on Buck Regulator 00:03:00 Module 17- Boost Regulator 00:23:00 Module 18- Example on Boost Regulator 00:06:00 Module 19- Buck Boost Converter 00:17:00 Module 20- Example on Buck-Boost Converter 00:05:00 Unit 5- Fundamentals of Inverters Module 1- Introduction to Inverters 00:02:00 Module 2- Definition of Inverters 00:04:00 Module 3- Importance and Applications of Inverters 00:08:00 Module 4- Single Phase Half Bridge R-Load 00:15:00 Module 5- Single Phase Half Bridge RL- Load 00:08:00 Module 6- Performance Parameters of an Inverter 00:05:00 Module 7- Example on Single Phase Half Bridge 00:10:00 Module 8- Single Phase Bridge Inverter R- Load 00:06:00 Module 9- Single Phase Bridge Inverter RL- Load 00:07:00 Module 10- Example on Single Phase Bridge Inverter 00:06:00 Module 11- Three Phase Inverters and Obtaining the Line Voltages 00:15:00 Module 12- Threee Phase Inverters and Obtaining The Phase Voltages 00:17:00 Module 13- Example on Three Phase Inverters 00:16:00 Module 14- Single Pulse Width Modulation 00:13:00 Module 15- Multiple Pulse Width Modulation 00:13:00 Module 16- Example on Multiple Pulse Width Modulation 00:04:00 Module 17- Sinusoidal Pulse Width Modulation 00:16:00 Module 18- Industrial Inverter 00:03:00

The Self Defense with Capoeira Martial Art Training Online Course offers a fun and practical way to learn how to protect yourself using the art of Capoeira. This Afro-Brazilian martial art blends dance, acrobatics and rhythm with real-world self-defence techniques. You will explore basic movements, defence and attack steps, and how to put them together in fluid combinations. The course helps you build coordination, confidence, and physical strength while learning a unique form of self-defence. Course Curriculum ✓ Section 01: Introduction ✓ Section 02: Defense and Attack ‘defesa e ataque’ ✓ Section 03: Combinations Learning Outcomes Understand the basics and history of Capoeira. Learn key movements for attack and defence. Improve your balance and body control. Develop fast reflexes through movement drills. Build core strength and flexibility. Master simple Capoeira combinations. Use rhythm to guide movement and improve timing. Practise self-defence techniques using Capoeira principles. Boost self-confidence through physical training. Gain a healthy, active routine for long-term well-being. Who is this course for? This course is perfect for anyone interested in martial arts, fitness or self-defence. Whether you are a beginner with no experience or someone looking to try a new style, this course is for you. It suits learners of all ages who want to stay active while learning useful skills. Eligibility Requirements You don’t need any martial arts experience or fitness level to join this course. Just bring your interest and a willingness to move. Comfortable clothing and a bit of space to practise are all you need. Career Path After completing this course, you may explore roles such as fitness coach, martial arts trainer, or self-defence instructor. It can also lead to further study in Capoeira or other martial arts, and boost confidence in pursuing wellness, personal training, or physical education fields. (Learn more about this online course)

Fitness Instructor: Fitness Instructor Online If you want to learn about Fitness Instructor: Fitness Instructor course and become an expert in the field, you have arrived at the right place. Industry experts designed this Fitness Instructor: Fitness Instructor course to enable you to learn quickly and efficiently and at your own pace and convenience. Do you want to start a career as a personal trainer or fitness trainer, or do you want to advance your skills? Then Fitness Instructor: Fitness Instructor course will provide you with a solid foundation for becoming a confident personal trainer or fitness trainer, as well as assist you in developing your expertise as a personal trainer or fitness trainer. After completing this Fitness Instructor: Fitness Instructor course, you will have gained the knowledge and skills necessary to launch your own training business and turn your passion for fitness into a full-time career, working in gyms, clients' homes, fitness centres, and other professional settings. Main Course: Fitness Instructor Course Free Courses included with Fitness Instructor: Fitness Instructor Course: Along with Fitness Instructor Course you will get free Level 5 Diploma in Nutrition Along with Fitness Instructor Course you will get free Gym Instructor Along with Fitness Instructor Course you will get free Personal Trainer Special Offers of this Fitness Instructor: Fitness Instructor Course; This Fitness Instructor: Fitness Instructor Course includes a FREE PDF Certificate. Lifetime access to this Fitness Instructor: Fitness Instructor Course Instant access to this Fitness Instructor: Fitness Instructor Course 24/7 Support Available to this Fitness Instructor: Fitness Instructor Course Fitness Instructor: Fitness Instructor Online This Fitness Instructor: Fitness Instructor course aims to provide a thorough understanding of how to coach people to improve their strength, stamina, flexibility, and muscle mass while motivating them on every fitness journey. The Fitness Instructor: Fitness Instructor course cover s important topics such as weight loss science, HIIT workouts, stretching, endurance training, the muscular system, and much more. Who is this course for? Fitness Instructor: Fitness Instructor Online This Fitness Instructor: Fitness Instructor course is ideal for those who want to learn the skills needed to start a successful career in the fitness industry. Requirements Fitness Instructor: Fitness Instructor Online To enrol in this Fitness Instructor: Fitness Instructor Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Fitness Instructor: Fitness Instructor Course. Be energetic and self-motivated to complete our Fitness Instructor: Fitness Instructor Course. Basic computer Skill is required to complete our Fitness Instructor: Fitness Instructor Course. If you want to enrol in our Fitness Instructor: Fitness Instructor Course, you must be at least 15 years old. Career path Fitness Instructor: Fitness Instructor Online There are no particular requirements for this Fitness Instructor: Fitness Instructor course because it doesn't call for any specialized training. Questions and answers Currently there are no Q&As for this course. Be the first to ask a question.

Depression: Depression Counselling Course Online Introducing "Depression Counselling: Empowering Lives and Overcoming Challenges" Are you ready to make a profound impact on the lives of individuals struggling with depression? If you have a passion for helping others and want to make a positive difference in their mental well-being, our Depression: Depression Counselling Course is tailor-made for you. In today's fast-paced world, depression has become increasingly prevalent, affecting millions of people worldwide. As a depression counsellor, you have the opportunity to provide essential support and guidance to those who need it most. Our comprehensive Depression: Depression Counselling Course equips you with the knowledge, skills, and tools to address the multifaceted aspects of depression effectively. There are several instructional videos, informative graphics, instructions, assistance, and other resources included in the Depression: Depression Counselling Course. Throughout the Depression: Depression Counselling Course, you will have access to online assistance. With our Depression: Depression Counselling Course, you will have the flexibility to learn at your own pace, whenever and wherever suits you best. Whether you are a busy professional or have other commitments, you can access the Depression: Depression Counselling Course material 24/7 and revisit the content whenever you need a refresher. Don't miss this opportunity to become a trusted and compassionate depression counsellor. Enroll now in our Depression: Depression Counselling Course and embark on a rewarding journey of transforming lives, one step at a time. Main Course: Depression Counselling Course Free Courses included with Depression: Depression Counselling Course: Along with Depression Counselling Course you will get free Level 5 Mental Health First Aid Certification Along with Depression Counselling Course you will get free Emotional Intelligence Special Offers of this Depression: Depression Counselling Course; This Depression: Depression Counselling Course includes a FREE PDF Certificate. Lifetime access to this Depression: Depression Counselling Course Instant access to this Depression: Depression Counselling Course 24/7 Support Available to this Depression: Depression Counselling Course Depression: Depression Counselling Course Online This Depression Counselling course describes depression, its consequences and the counselling process. Also, our Depression Counselling course involves dementia awareness and cognitive models for depressed clients. You can learn about various disorders and can deal with them through this Depression Counselling course help. Our Depression Counselling course teaches proper medication and therapy for mental illness. Who is this course for? Depression: Depression Counselling Course Online This Depression: Depression Counselling Course is open to everyone. Requirements Depression: Depression Counselling Course Online To enrol in this Depression: Depression Counselling Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Depression: Depression Counselling Course. Be energetic and self-motivated to complete our Depression: Depression Counselling Course. Basic computer Skill is required to complete our Depression: Depression Counselling Course. If you want to enrol in our Depression: Depression Counselling Course, you must be at least 15 years old. Career path Depression: Depression Counselling Course Online The Depression: Depression Counselling Course offers new opportunities in the job market and also can add value to your CV.

Financial Analysis is a vital discipline for anyone aiming to understand the financial health and direction of a business. This CPD-accredited course delves into the key concepts and techniques that financial professionals rely on to interpret financial statements, assess organisational performance, and make informed decisions. From exploring the role of a financial controller to mastering ratio analysis and budgeting methods, the course offers a structured path through essential financial knowledge that supports strategic decision-making. Participants will gain insight into the intricate processes of planning, budgeting, internal controls, and audits, all crucial for maintaining robust financial management. With a focus on financial statement interpretation and the nuances of strategic management decisions, the course provides learners with the clarity needed to navigate complex financial data confidently. Delivered entirely online, this course is designed to suit those who seek flexibility without compromising on depth or quality, making it an excellent choice for professionals wanting to enhance their financial acumen. Key features Free PDF Certificate Free Retake Exam Lifetime Access Course Curriculum of Financial Analysis: Module 01: The Concept of Financial Controller Module 02: Financial Statement Module 03: Financial Analysis Module 04: Ratio Analysis Module 05: Planning, Budgeting and Forecasting Module 06: Budgetary Control Module 07: Internal Control and Cash Module 08: Strategic Management Decision Module 09: Financial Audit Course Assessment of Financial Analysis You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Financial Analysis - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Financial Analysis - CPD Accredited training is ideal for: Financial Analysts Investment Bankers Corporate Finance Professionals Accounting Professionals Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Financial Analysis - CPD Accredited training. Financial Analysts: £37,000 per year. Investment Bankers: £75,000 per year. Corporate Finance Professionals: £55,000 per year. Accounting Professionals Certificates Certificate of completion Digital certificate - Included Free PDF Certificate Certificate of completion Hard copy certificate - Included Shipping Cost: £3.99 for Hardcopy Certificate only

In a world where smartphones are virtually glued to our palms, your iPhone can do more than scroll social feeds or take holiday snaps—it can become your complete product creation toolkit. This course is designed to show you exactly how to craft content, build visual assets, and create polished digital products using only your iPhone. Whether you're looking to launch digital downloads, online resources, or creative assets, this course walks you through each step in a way that’s clear, clever, and surprisingly achievable. We’re not here to talk tech jargon or throw buzzwords around. You’ll gain a strong understanding of how to use your device to generate income-friendly digital products with confidence. From shooting visuals to editing content and packaging your product for online platforms, everything is tailored to fit the creative process directly into your phone screen. No studios, no pricey gear—just clever techniques, expert insights, and a sharp focus on results. Whether you're a content creator, online seller, or simply a curious learner, this course helps you get your product off your phone and into the market—without overcomplicating things. Learning Outcomes Demonstrate proficiency in managing iPhone equipment and adapters. Apply effective Bluetooth connection management strategies. Efficiently manage device and online storage. Utilise various methods to back up iPhone data. Effectively manage sales and membership pages using WordPress and cloud-based systems. Demonstrate proficiency in client scheduling and meeting management. Course Curriculum: Minimum iPhone Equipment Adapter Bluetooth Connection Management Manage Device Storage Managing Online Storage Backing Up Your iPhone Downloaded File Management Editing Graphics WordPress-Based Sales Pages Cloud-Based Sales Page Systems Managing Membership Pages Cloud-Based Delivery Systems Monitoring Your Help Writing And Managing Emails Managing Payments Part 1 Managing Payments Part 2 Hosting and Recording Client Meetings and Webinars Client Scheduling - Part 1 Client Scheduling - Part 2 Conclusion - Password Manager How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path You can pursue opportunities such as Product Manager - £35,000 to £90,000 per year. Digital Content Creator - £20,000 to £60,000 per year. Video Editor - £18,000 to £50,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Feeling tight, tense, or just plain stuck? Yoga for Stiff Bodies Training was created to meet you right there—no flexibility required. This is not about touching your toes. It’s about giving your mind and body a chance to breathe, soften, and slow down. No one wants more pressure in their life, so Yoga for Stiff Bodies Training makes it easy, effortless, and entirely on your terms. With enrollment open now for a limited time, there’s never been a better moment to start moving toward comfort and calm—before this chance slips by. Description You don’t need to be bendy. You don’t need to be strong. You don’t need anything but a willingness to begin. Yoga for Stiff Bodies Training invites you to reconnect with yourself without judgment, rush, or effort that feels like work. This is a safe, simple way to unwind, mentally and physically. Whether you’re coming off years of inactivity or just carrying tension from long days, Yoga for Stiff Bodies Training offers a path to ease—without the guilt, grind, or overwhelm. With short, supportive sessions and a self-paced format, Yoga for Stiff Bodies Training adapts to your life. You don’t have to change everything. Just press play, take a breath, and start loosening more than just your body. Benefits ✅ Ease into movement with Yoga for Stiff Bodies Training, no pressure or flexibility required. ✅ Stress relief that meets you exactly where you are. ✅ Total self-paced control—no clocks, no pressure, no competition. ✅ Created for tight muscles and busy minds alike. ✅ Enjoy guilt-free progress on your own timeline. ✅ Affordable and built for daily life, not yoga studios. ✅ Lifelong access to Yoga for Stiff Bodies Training to revisit whenever you need. FAQ Q: What if I’m really inflexible or haven’t exercised in years? That’s exactly why Yoga for Stiff Bodies Training exists. It’s built for total beginners and stiff bodies. Q: Is this course strenuous or difficult? Not at all. Yoga for Stiff Bodies Training is intentionally gentle and low-effort to support both mind and body. Q: Can I skip days and still benefit? Yes! Yoga for Stiff Bodies Training is forgiving and flexible—do what you can, when you can. Q: Do I need yoga experience or gear? Nope. You only need a quiet space. Yoga for Stiff Bodies Training is as simple and approachable as it gets. N:B: This is not a Naked Yoga Course

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 Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. 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Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. 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Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Overview of Google Classroom Essentials Google Classroom Essentials is a helpful course for teachers who want to use digital tools to improve how they teach. After the pandemic, more UK schools have started using online platforms. Over 170 million students and teachers around the world now use Google for Education. This means learning how to use Google Classroom Essentials has become very important for modern-day teaching. The course shows you how to create and manage your online classroom simply and clearly. In this course, you will learn how to set up your first virtual class, share work with students, give feedback, and make grading easier. It also helps with organising lessons, talking to students, and using tools that help with teamwork. Whether you are just starting with online teaching or want to improve the way you already teach digitally, this Google Classroom Essentials course is made to support your progress step by step. The UK education system has seen a 300% rise in digital learning. Because of this, more schools are looking for teachers who can use tools like Google Classroom Essentials. This course helps you build the skills needed for today’s classrooms. With practical training and simple methods, Google Classroom Essentials gives you the support you need to become more confident with digital teaching and meet the needs of students in a changing world. Learning Outcomes By the end of this Google Classroom Essentials course, you will be able to: Set up and manage your Google Classroom account easily Find your way around the classroom dashboard and adjust the settings Add other teachers and invite students to your online class Create and organise assignments, share learning materials, and post updates Use marking rubrics and keep track of student progress Create quizzes and ask questions using built-in classroom tools Who is this course for This course is a good fit for: Primary and Secondary School Teachers who want to bring digital tools into their classrooms and support students aged 5–18 with better learning University Lecturers and Education Staff who want an easier way to share course content, manage assignments, and stay connected with students Corporate Training Managers who need a smart way to deliver training and learning materials to employees Tutoring Centre Coordinators who work with many students and need a clear system to manage classes, track progress, and share resources Support Staff in Education, such as teaching assistants or learning mentors, who help with classroom tasks and support student learning Process of Evaluation After studying the Google Classroom Essentials Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Google Classroom Essentials Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the Google Classroom Essentials course. Career Path: Completing the Google Classroom Essentials course can support your move into roles such as: Teaching Assistant – £18,000 to £25,000 per year Primary School Teacher – £28,000 to £45,000 per year Secondary School Teacher – £28,000 to £50,000 per year Educational Technology Coordinator – £25,000 to £40,000 per year Corporate Training Specialist – £30,000 to £48,000 per year Course Curriculum Unit 01: Setting up your Classroom Getting Google Account and Signing in 00:02:00 Creating a Class 00:04:00 Classroom Navigation 00:09:00 Class Settings 00:04:00 Add Co-Teacher and Students 00:09:00 Creating of Additional Class 00:02:00 Google Drive Structure & Class options 00:07:00 Unit 02: Managing Google Classroom Topics 00:07:00 Assignment 00:14:00 Assignment Dashboard & Student Communication 00:06:00 To Do List and Calendar 00:05:00 Materials 00:06:00 Announcement 00:06:00 Quiz Assignments 00:17:00 Questions 00:03:00 Reusing Posts 00:05:00 Grade 00:05:00 Rubric 00:11:00 Unit 03: Bonus (Update) Join Google Classroom using link 00:02:00 Google Classroom Home Page Changes 00:01:00