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🚫 Preventing Electric Shock Online Training: Keep Yourself and Others Safe! Are you concerned about the risks of electric shock in your workplace or daily life? Look no further! Our Preventing Electric Shock Online Training course is your ultimate solution to mastering the art of electrical safety. With our comprehensive curriculum and expert-led guidance, you'll gain the knowledge and skills needed to prevent electric shock incidents and create a safer environment for yourself and others. 🌟 Benefits of Taking Our Course: Enhanced Safety Awareness: Learn to identify potential electrical hazards and implement preventive measures to minimize the risk of electric shock. Confidence in Handling Electrical Equipment: Gain the confidence to handle electrical equipment safely, reducing the likelihood of accidents and injuries. Compliance with Safety Regulations: Understand the importance of compliance with safety regulations and standards, ensuring legal and ethical workplace practices. Empowerment to Protect Others: Equip yourself with the knowledge to educate and empower others about electrical safety, fostering a culture of safety awareness. Peace of Mind: Enjoy peace of mind knowing that you have the skills to prevent electric shock incidents and protect yourself and your colleagues from harm. 🤔 Who is this for? Our Preventing Electric Shock Online Training course is ideal for: Employees: Whether you work in construction, manufacturing, or any other industry, understanding electrical safety is essential for workplace well-being. Homeowners: Safeguard your home and loved ones by learning how to identify and mitigate electrical hazards in your household. Students: Electrical safety is relevant to students studying engineering, construction, or any field involving electrical systems. 🛠️ Career Path: Upon completing our course, you'll be equipped with valuable skills that can enhance your career prospects in various industries, including: Electrical Engineering: Gain a competitive edge in the field of electrical engineering by demonstrating your commitment to safety and expertise in preventing electric shock incidents. Occupational Health and Safety: Pursue opportunities in occupational health and safety roles, where your knowledge of electrical safety will be highly valued. Facilities Management: Secure positions in facilities management, where your understanding of electrical safety can contribute to creating safer work environments. 📌 FAQ: Q: Is this course suitable for beginners? A: Absolutely! Our course is designed to cater to learners of all levels, from beginners to experienced professionals. We provide comprehensive training that covers the basics of electrical safety and gradually progresses to more advanced topics.   Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace of learning. On average, learners complete the course within a few hours, but you can take as much time as you need to absorb the content thoroughly.   Q: Will I receive a certificate upon completion? A: Yes! Upon successfully completing the course, you'll receive a certificate of completion that validates your newfound knowledge and skills in preventing electric shock incidents.   Q: Is the course content updated regularly? A: Yes, we strive to ensure that our course content is up-to-date with the latest industry standards and best practices. We regularly review and update the content to reflect any changes or advancements in the field of electrical safety.   Q: Can I access the course materials on any device? A: Absolutely! Our course is accessible on various devices, including computers, tablets, and smartphones. You can learn anytime, anywhere, at your convenience. 🌐 Don't Wait! Enroll Now and Empower Yourself with Electrical Safety Knowledge! Take the first step towards a safer workplace and a more secure future by enrolling in our Preventing Electric Shock Online Training course today. Together, let's prevent accidents, protect lives, and create a culture of safety awareness. Your safety journey begins now! 🔒🌟 Course Curriculum Module 1 Introduction to Electric Shock Prevention Introduction to Electric Shock Prevention 00:00 Module 2 Electrical Hazards and Precautions Electrical Hazards and Precautions 00:00 Module 3 Electrical Equipment Safety Electrical Equipment Safety 00:00 Module 4 Electrical Safety Training for Employees Electrical Safety Training for Employees 00:00 Module 5 Electrical Safety for Managers and Supervisors Electrical Safety for Managers and Supervisors 00:00 Module 6 Electrical Safety for Office and Non-Technical Workers Electrical Safety for Office and Non-Technical Workers 00:00

Overview   Investing in the stock market has been one of the go-to strategies for a vast population either as a passive income source, or even the primary source for people with sizeable capital. The popularity of investing in stocks derives from its flexibility and openness in its amount of investment and the investor. As a result, jobs related to the stock market has also been on the rise lately around the world. But the question is, how to get into this lucrative market (as an investor/a professional job holder) with adequate knowledge and training?   The self-paced online learning methodology from Compete High in this Stock Investing course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning them by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   As for the skills you will gain from this course, take a peek below:   Fundamental Analysis Technical Analysis Cash Flow Management Risk Management IPO Investigation Motif Investing Trading Techniques Picking up Potential Stocks   The course materials are prepared with consultation from the experts of this field and all the information on Stock Investment is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates of the stock market.   So, instead of searching for hours, enrol right away on this Stock Investing course from Compete High and accelerate your career on the right path with expert-outlined lessons and a guarantee of success in the long run.  Who is this course for?   While we refrain from discouraging anyone wanting to do this Stock Investing course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:   Anyone looking for the basics of Stock Investment, Jobseekers in the stock market/brokerage firms, People looking to be an independent stockbroker, Anyone with an interest to invest in stocks, Anyone looking for a certificate of completion on doing an online training on stock market/stock investment, Students of finance, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   As mentioned above, this Stock Investing course is the perfect gateway for the potential stock investors of tomorrow. Aside from that, the course also paves the way for a handful of job opportunities, with roles such as:   Stock Broker Stock Trader Investment Consultant/Associate Financial Analyst   While the earnings for the above-mentioned jobs vary based on responsibilities, the possible level-wise breakdown is as follows -   Entry level: £35,000 - £40,500 Mid-level: £45,500 - £70,000 Senior level: £80,00 - £150,000 Course Curriculum Module 1- Stock Market Overview Stock Market Overview 00:00 Module 2- Surveying the World of Stock Investing Surveying the World of Stock Investing 00:00 Module 3- Four Pillars of Investing Four Pillars of Investing 00:00 Module 4- Taking Stock of Your Current Financial Situation and Goals Taking Stock of Your Current Financial Situation and Goals 00:00 Module 5- Stock Indexes and Sectors Stock Indexes and Sectors 00:00 Module 6 -Going for Brokers after Gathering Information Going for Brokers after Gathering Information 00:00 Module 7- Small-Cap Stocks, IPOs, and Motif Investing Small-Cap Stocks, IPOs, and Motif Investing 00:00 Module 8- Brokerage Orders and Trading Techniques Brokerage Orders and Trading Techniques 00:00 Module 9- Ten Indicators of Potential Stock Ten Indicators of Potential Stock 00:00 Module 10 -Ten Investments _ Secret Strategies that Go Great with Stocks Ten Investments _ Secret Strategies that Go Great with Stocks 00:00 Final Quiz Stock Investing Masterclass - Final Quiz

Level 1 health and safety in a construction environment Preparation to CSCS Green Card Are you excited to learn informative knowledge essential for working safely in construction? Then, our level 1 health and safety in a construction environment Preparation to CSCS Green Card course will be very helpful for you. This level 1 health and safety in a construction environment course includes risk assessment, hazard identification, and safe working practices. Participants in this level 1 health and safety in a construction environment Preparation to CSCS Green Card course learn about personal protective equipment (PPE) and accident prevention. Also, the level 1 health and safety in a construction environment Preparation to CSCS Green Card course is perfect to learn about risk assessment and emergency procedures. Moreover, this level 1 health and safety in a construction environment Preparation to CSCS Green Card course equips learners with the skills to maintain a safe work environment. Enrol in our level 1 health and safety in a construction environment Preparation to CSCS Green Card course to ensure compliance with health and safety regulations in construction settings. Learning outcome of level 1 health and safety in a construction environment Preparation to CSCS Green Card course Upon completion of this level 1 health and safety in a construction environment Preparation to CSCS Green Card course, you will learn: Overview of safety in construction, plumbing, and safeguarding. This level 1 health and safety in a construction environment Preparation to CSCS Green Card course teaches identifying risks. Building codes and regulations for construction are part of this level 1 health and safety in a construction environment Preparation to CSCS Green Card course. Our level 1 health and safety in a construction environment Preparation to CSCS Green Card course is also ideal for learning first aid basics and HVAC industry's safety. How to follow safety protocols for fire, electrical, and gas is described in this level 1 health and safety in a construction environment Preparation to CSCS Green Card course. Also, this level 1 health and safety in a construction environment Preparation to CSCS Green Card course explains chemicals and other onsite hazards. Vehicles, personal protective equipment (PPE), and general safety are also included in this level 1 health and safety in a construction environment course. After finishing this level 1 health and safety in a construction environment course, you will be fully prepared for CSCS. Special Offers of this CSCS - Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course This Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course includes a FREE PDF Certificate. Lifetime access to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Instant access to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Get FREE Tutor Support to this Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course Level 1 health and safety in a construction environment Preparation to CSCS Green Card Through this Level 1 health and safety in a construction environment Preparation to CSCS Green Card course, you can learn the fundamentals of the HVAC sector and how to adhere to safety regulations for gas, electricity, and fire. Moreover, the Level 1 health and safety in a construction environment Preparation to CSCS Green Card course explains vehicles, personal protective equipment (PPE), and general safety. Who is this course for? Health and Safety in a Construction Environment - Preparation to CSCS Green Card This Level 1 health and safety in a construction environment Preparation to CSCS Green Card certified course is required if you intend to begin working in the construction business in the United Kingdom. Special Note: Our Health and Safety in a Construction Environment - Preparation to CSCS Green Card Course is not a regulated course. If You want to get qualified, you can consider following options: Level 1 Award in the Principles of Health and Safety within the Workplace (RQF) NEBOSH National Certificate in Construction Health and Safety Level 1 Award in Health and Safety at Work (RQF) Health and Safety Management for Construction (UK) Level 1 Award in Health and Safety in a Construction Environment - Health and Safety in Construction - for the CSCS Green Card Level 1 Award in Health and Safety in a Construction Environment (RQF) Health and Safety Management for Construction (UK) Level 1 Award in Health and Safety in a Construction Environment (RQF) Level 1 Award in Health and Safety in a Construction Environment - Health and Safety in Construction - for the CSCS Green Card Requirements Health and Safety in a Construction Environment - Preparation to CSCS Green Card To enrol in this Preparation to CSCS Green Card Course, students must fulfil the following requirements. To join in our Preparation to CSCS Green Card Course, you must have a strong command of the English language. To successfully complete our Preparation to CSCS Green Card Course, you must be self driven. To complete our Preparation to CSCS Green Card Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Preparation to CSCS Green Card Course. Career path Health and Safety in a Construction Environment - Preparation to CSCS Green Card This Level 1 health and safety in a construction environment Preparation to CSCS Green Card course paves the way for entry-level positions in construction, such as labourer, apprentice, or construction site assistant.

Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course Would you like to learn more about food, safety, and health? The goal of this Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course is to provide you with the information and abilities needed to handle food in early childhood, health, and childcare settings. The Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course covers the food safety requirements. Also, this Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course teaches how to promote nutrition and hydration. Our Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course will also help learners gain a better understanding of food safety in preparation for food hygiene qualifications. To improve your knowledge of food safety in order to prepare for food hygiene, enrol in this Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course. Learning Outcome of Level 2 Award in Food Safety in Health Care and Early Years Settings After completing this Level 2 Award in Food Safety in Health Care and Early Years Settings course, learners will gain knowledge on: The importance of food safety measures when providing food and drink for individuals from Level 2 Award in Food Safety in Health Care and Early Years Settings. This Level 2 Award in Food Safety in Health Care and Early Years Settings course helps to understand how to maintain hygiene when handling food and drink. Understand how to meet safety requirements when preparing and serving food and drink to individuals with the help of this Level 2 Award in Food Safety in Health Care and Early Years Settings. Main Course: Level 2 Award in Food Safety in Health Care and Early Years Settings Course Free Courses are including with this Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course Along with The Health Care and Early Years Settings Course, We Offer a free Diploma in Health nd Wellbeing Course Along with The Health Care and Early Years Settings Course, We Offer a free Level 2 Certificate in Awareness of Mental Health Problems Course Special Offers of this Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course This Health Care and Early Years Settings Course includes a FREE PDF Certificate. Lifetime access to this Health Care and Early Years Settings Course Instant access to this Health Care and Early Years Settings Course Get FREE Tutor Support to this Health Care and Early Years Settings Course Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course Helping students acquire the knowledge and abilities necessary to handle food in early childhood and childcare settings as well as health and social care settings is the goal of the Food Safety in Health and Social Care and Early Years and Childcare Settings - Level 2 qualification. In addition to covering food safety regulations, the Food Safety in Health and Social Care and Early Years and Childcare Settings - Level 2 course also helps people eat and drink and either supports or enhances nutrition and hydration. Who is this course for? Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course Anyone involved in handling food properly and meeting nutritional and hydration needs will benefit from this Level 2 Award in Food Safety in Health Care and Early Years Settings course. Special Note: Our Child Care Course is not a regulated course. If You want to get qualified, you can consider following options: HND Child Care Teaching and child care NCFE Early Learning and Childcare Level 3 Award in Childcare & Education Level 3 Award in Childcare and Education (VRQ) Level 3 Diploma for Residential Childcare (England) (RQF) Level 3 Award in Preparing to Work in Home-Based Childcare Level 5 Diploma in Leadership and Management for Residential Child care (England) (RQF) Level 2 Award in Food Safety in Health and Social Care and Early Years and Child care Settings (RQF) Requirements Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course To enrol in this Health and Social Care & Early Years & Childcare Settings Course, students must fulfil the following requirements. To join in our Course, you must have a strong command of the English language. To successfully complete our Health and Social Care & Early Years & Childcare Settings Course, you must be vivacious and self driven. To complete our Health and Social Care & Early Years & Childcare Settings Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Course. Career path Level 2 Award in Food Safety in Health and Social Care & Early Years & Childcare Settings Course After completing this Level 2 Award in Food Safety in Health Care and Early Years Settings course, you can get involved with various jobs including healthcare assistant, nursery assistant, catering assistant or support worker.

Learn to make your raw images more beautiful and appealing with a few simple tricks and easy to follow instructions! This photo editing course aims at providing you with a complete guideline to edit photos in Adobe Lightroom Classic CC and Adobe Lightroom CC. With this course, you will discover engaging lessons that incorporate Adobe Lightroom Classic CC, Adobe Lightroom CC, and Adobe Lightroom CC on a smartphone. Each and every topic of this course is presented in an easy to grasp manner. You will also develop your skills by learning a range of Photoshop techniques such as adjustment and white balance, vibrant and colour strength and many more. On completion, you will be able to manipulate images according to the need and create eye-catching photographs for branding and marketing. Work with this popular program to its full potential, whether you are using Lightroom Classic CC, Lightroom CC or Lightroom on the smartphone! Who is the course for? This course is ideal for those wanting to improve their base skills in office administrative tasks This course would be ideal for people who want to start working as a receptionist, office administrator, office manager, administrative assistant or secretary Entry Requirement for this photo editing course: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Module: 01 0 Lightroom Course Promo 00:02:00 0.1 Promo for Lightroom CC Course 00:02:00 0.1 Promo Video Lightroom Classic CC Course 00:02:00 1.1 Course Introduction 00:03:00 1.1 Into Video 00:02:00 1.1 Intro Video V2 00:04:00 Module: 02 2.1 Importing 00:08:00 2.2 Organizing with Collections 00:07:00 2.4 Face Tagging 00:03:00 Module: 03 3.1 Enhancing Eyes 00:06:00 3.1 Crop and Rotate in Lightroom Classic CC 00:05:00 3.2 Whitening Teeth 00:03:00 3.2 Crop and Straighten 00:11:00 3.3 Exposure in Lightroom Classic CC 00:06:00 3.3 Smoothing Skin 00:02:00 3.4 Color and Saturation in Lightroom Classic CC 00:09:00 3.4 Removing Wrinkles 00:07:00 3.5 Enhancing Lips & Changing Lip Color 00:04:00 3.5 Presence Clarity and Saturation Jon 00:05:00 3.5 Sharpening and Noise Reduction in Lightroom Classic CC 00:07:00 3.6 Cheek Enhancements and Face Contouring 00:05:00 3.6 Tone Curve 00:07:00 3.6 Vignettes, Grain and Dehaze in Lightroom Classic CC 00:06:00 3.7 Exporting in Lightroom Classic CC 00:10:00 3.7 full portrait editing techniques 00:11:00 3.7 HSL 00:07:00 3.8 Lens Corrections in Lightroom Classic CC 00:05:00 3.9 Split Tone in Lightroom Classic CC 00:05:00 3.10 Removing Blemishes with the Heal and Clone Tools in Lightroom Classic CC 00:08:00 3.11 Graduated, Radial and Brush Adjustments in Lightroom Classic CC 00:10:00 3.12 Adjustment Brush Presets in Lightroom Classic CC 00:03:00 3.12 Calibrate Your Camera Profile 00:08:00 3.13 Range Masks in Lightroom Classic CC 00:05:00 3.13 Range Masks in Lightroom Classic CC 00:05:00 Module: 04 4.1 Full Edit - Car 00:15:00 4.1 The Adjustment Brush 00:04:00 4.1 Using, Creating, and Importing Presets 00:05:00 4.2 Color Profiles 00:04:00 4.2 Full Edit - Starry Sky 00:10:00 4.2 Radial Filter 00:03:00 4.3 Full Edit - Woman and Dog 00:15:00 4.3 Graduated Filter 00:05:00 4.3 Speed Up Your Editing Workflow 00:04:00 4.4 Full Edit - Snowy Landscape 00:11:00 4.4 Panorama 00:04:00 4.4 Spot Healing Brush 00:05:00 4.5 Full Edit - Icy River 00:12:00 4.5 HDR 00:03:00 4.6 Automatically Fix Exposure & White Balance 00:02:00 4.6 Full Edit - Surfs Up 00:10:00 4.7 Full Edit - Wildlife Bird 00:15:00 4.8 Full Edit - Roses are Red 00:11:00 Module: 05 5.1 Enhance Eyes and Change Eye Color 00:08:00 5.1 Exporting Photos from Lightroom 00:09:00 5.2 Adding a Watermark Lightroom 00:04:00 5.2 Whitening Teeth 00:03:00 5.3 Smoothing Skin 00:02:00 5.4 Removing Wrinkles 00:05:00 5.5 Enhancing Lips & Changing Lipstick Color 00:03:00 5.6 Enhancing Cheeks _ Face Contouring 00:08:00 5.7 Full Portrait Edit 00:07:00 Module: 06 6.1 Moonscape 00:11:00 6.1 Portrait of a Woman 00:20:00 6.2 Landscape Editing 00:07:00 6.2 Night Edit 00:15:00 6.3 Long Exposure 00:14:00 6.3 Ocean Flash Portrait 00:09:00 6.4 Group Photo Edit 00:16:00 6.4 Product Photo 00:12:00 6.5 Nature 00:09:00 6.5 Portrait With No Flash 00:05:00 6.6 Action 00:08:00 6.6 Lightroom To Match Color For Corporate Branding Images 00:06:00 6.7 Landscape 00:12:00 6.8 Travel 00:13:00 6.9 Couples Portrait 00:18:00 6.10 Architecture Photo 00:18:00 6.11 Aerial Photo 00:09:00 6.12 Street Photo 00:14:00 6.13 Macro Photo 00:10:00 6.14 Pet Photo 00:10:00 6.15 Maternity Couple Photo 00:12:00 6.16 Interior Nursery 00:13:00 6.17 Portrait of a Man 00:19:00 6.18 Sports Photo 00:10:00 Module: 07 7.1 Intro To Lightroom Mobile 00:03:00 7.1 The Map Module 00:04:00 7.2 Syncing Lightroom Mobile 00:08:00 7.2 The Book Module 00:10:00 7.3 Edit Lightroom Mobile 00:09:00 7.3 The Slideshow Module 00:10:00 7.4 Lightroom Mobile Organizing and Sharing 00:05:00 7.4 The Print Module 00:08:00 7.5 The Web Module 00:06:00 Module: 08 8.1 Conclusion and Thank You 00:02:00 8.1 Using Lightroom Presets 00:04:00 8.2 Installing Lightroom Presets 00:03:00 Module: 09 9.1 Calibrate Your Monitor 00:03:00 9.2 Color Checker Passport 00:10:00 9.3 Tablets 00:08:00 9.4 Catalogues 00:11:00 9.5 Brighten and Whiten Teeth and Eyes 00:04:00 9.6 Remove Wrinkles in Lightroom 00:05:00 9.7 Create a Panorama in Lightroom 00:03:00 9.8 Remove Red-Eye 00:01:00 9.9 Soften Skin in Lightroom 00:03:00 9.10 Reduce Noise in Your Photos 00:05:00 Module: 10 10.1 Google NIK 00:17:00 Module: 11 11.1 full lightroom session workflow 00:07:00 Module: 12 12.1 Conclusion 00:01:00 Resources Resources - Complete Guide to Adobe Lightroom Classic CC & CC - Photo Editing Masterclass 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Register on the CompTIA A+ (220-1001) today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The CompTIA A+ (220-1001) is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The CompTIA A+ (220-1001) Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the CompTIA A+ (220-1001), all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. 

Enhance your infection prevention and control skills with our comprehensive course designed for nursing staff. Covering UK policies, infection types, transmission methods, and prevention strategies, this course provides essential training to ensure safe and effective patient care. Complete at your own pace and receive a certificate upon completion.

Are you embarking on the journey of mastering data analytics and visualisation in the UK? The 'Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7' is your beacon. Positioned to illuminate the intricate realm of Power BI, this course offers a comprehensive look into the foundational aspects and the advanced features that make Microsoft's tool a standout. With sections meticulously designed ranging from the fundamentals, like data transformation, to advanced concepts, such as integrating Power BI with Python and storytelling with data, this course ensures learners grasp the complete spectrum. With the rising emphasis on data analytics in today's business world, this course acquaints you with Power BI's prowess. It prepares you for the sought-after Microsoft Power BI certification in the UK. Learning Outcomes Comprehend the fundamental aspects of Power BI, from initiating a project to understanding the user interface. Develop proficiency in advanced data transformation techniques and data model creation. Integrate Python with Power BI and harness the benefits of both for enhanced data analytics. Master the art of 'Storytelling with Data' to deliver impactful presentations and reports. Understand and implement Row-Level Security and harness Power BI Cloud services efficiently. Why choose this Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7? 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 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 Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 for? Individuals keen on obtaining the Microsoft power bi certification UK. Analysts and data professionals aspiring to enhance their data visualisation skills. Business professionals wanting to leverage Power BI for insightful business decision-making. Tech enthusiasts aiming to amalgamate programming (Python) with data analytics. Those seeking to stay updated with the latest trends in Power BI and its evolving capabilities. Career path Data Analyst: Average Salary £30,000 - £40,000 Annually Business Intelligence Developer: Average Salary £35,000 - £45,000 Annually Power BI Developer: Average Salary £40,000 - £50,000 Annually Data Visualisation Specialist: Average Salary £32,000 - £42,000 Annually Business Intelligence Manager: Average Salary £45,000 - £55,000 Annually Data Strategy Consultant: Average Salary £50,000 - £60,000 Annually Prerequisites This Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 £135 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 Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:03:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 00:00:00 Assignment Assignment - Advanced Diploma in Microsoft Power BI 2021 at QLS Level 7 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00