• Professional Development
  • Medicine & Nursing
  • Arts & Crafts
  • Health & Wellbeing
  • Personal Development

47182 Courses in Cardiff delivered On Demand

Product Management & Merchandising with Store Management - QLS Endorsed Courses

By Imperial Academy

Level 3, 4 & 5 QLS Endorsed Diploma | 3 QLS Hard Copy Certificates Included | Plus 10 CPD Courses | Lifetime Access

Product Management & Merchandising with Store Management - QLS Endorsed Courses
Delivered Online On Demand
£399

Botany & Reproduction in Flowering Plants - Training Courses

By Imperial Academy

Level 2, 3 & 5 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Botany & Reproduction in Flowering Plants - Training Courses
Delivered Online On Demand
£399

Customer Service Skills

4.7(160)

By Janets

If you want to improve your customer service skills, then this Customer Service Skills course will help you exceedingly. Initially, you will introduce to the concept of customer service, following with its importance for the company and understand customers' expectation. This course provides a comprehensive explanation of the fundamental aspects of customer service. Also, you will explore various methods to deal with the challenging situation and customers. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Course Content Understanding Customer Service Understanding Customer Service 00:17:00 Identifying Customer Expectations 00:06:00 Providing Excellent Customer Service 00:07:00 Focusing on the Customer Focusing on the Customer 00:08:00 Customer Service and the Telephone Customer Service and the Telephone 00:08:00 Handling Complaints Handling Complaints 00:12:00 Enduring Stress Enduring Stress 00:13:00 Mock Exam Mock Exam- Customer Service Skills - Delivering Excellent Service 00:20:00 Final Exam Final Exam- Customer Service Skills - Delivering Excellent Service 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Customer Service Skills
Delivered Online On Demand1 hour 51 minutes
£25

Coding with Python 3

4.7(160)

By Janets

Register on the Coding with Python 3 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 Coding with Python 3 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 Coding with Python 3 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 Coding with Python 3, 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.  Course Content Module 01: Introduction and Setup Introduction 00:03:00 Why is Python 3 worth learning 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python 3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Module 02: Python Programming Basics Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program 00:12:00 Type, len, str, int, float, functions 00:09:00 True or false Boolean 00:10:00 If-statement 00:05:00 If and else 00:13:00 Using elif for multiple statements.mp4 00:09:00 While loop 00:16:00 Infinite loops with break 00:07:00 Using continue in a loop.mp4 00:06:00 For Loop 00:10:00 Importing Python libraries 00:12:00 Module 03: Functions- Coding Exercises Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Module 04: Lists, Tuples and Dictionaries Python lists 00:15:00 Creating smaller lists out of a bigger one 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:10:00 Values, keys, items, get 00:08:00 Dictionary comprehension part 1 00:08:00 Dictionary comprehension part 2.mp4 00:07:00 Advanced string manipulation 00:12:00 Upper, lower, isupper, islower 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Module 05: Files in Python 3 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Module 06: Error Handling Try and except 00:13:00 Try and finally 00:15:00 Module 07: Object Oriented Programming Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Module 08: Date & Time Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Module 09: Regular Expressions Extracting useful data 00:23:00 Regex part 1 00:23:00 Regex part 2 00:17:00 Module 10: Interacting with HTTP Performing HTTP GET requests 00:20:00 Performing POST requests 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:11:00 Session objects and cookies 00:21:00 SSL certificate, authentication, etc 00:21:00 JSON library and proxies 00:21:00 Module 11: Networking in Python 3 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving desired amount of data 00:20:00 Socket timeout and options 00:08:00 UDP server and client 00:13:00 AF_UNIX and raw_sockets 00:14:00 Module 12: Threading Introduction to threading part 1 00:28:00 Introduction to the threading part 2 00:22:00 Theory behind threaded server 00:15:00 Module 13: E-mails, PDFs, Images Sending emails using smtplib 00:32:00 PDF files 00:11:00 Images in Python 3 00:16:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Coding with Python 3
Delivered Online On Demand17 hours 36 minutes
£25

Learn How to Go Live Everywhere with Restream

By Course Cloud

Course Overview Want to know how to create professional streams using Restream? Then this is the perfect course for you. The Learn How to Go Live Everywhere with Restream course is designed to provide learners with the essential skills needed to livestream like a pro. It will teach you how to broadcast to multiple publishing points, use pre recorded videos, and much more. You will also be trained on Restream analytics to help you better track and analyse your performance. You will familiarise with all the incredible features that Restream has to offer, with complete instructor-led guidance on how to perform different tasks. Take your livestreaming to the next level and learn from the experts in this complete masterclass today. This best selling Learn How to Go Live Everywhere with Restream has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Learn How to Go Live Everywhere with Restream is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Learn How to Go Live Everywhere with Restream is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Learn How to Go Live Everywhere with Restream is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Learn How to Go Live Everywhere with Restream, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Learn How to Go Live Everywhere with Restream will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Learn How to Go Live Everywhere with Restream to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Learn How to Go Live Everywhere with Restream
Delivered Online On Demand
£25

Information Management Course

By Compete High

💻 Unlock the Power of Information: Information Management Course! 🌐 Ready to harness the full potential of information for organizational success? Enroll in our Information Management Course, a comprehensive program designed to empower you with the skills and knowledge needed to become a proficient information manager. Join us on a transformative journey where data meets strategy, and turn your passion for organized information into a dynamic career. 🌟 Module 1: Introduction to Information Management Embark on your information journey with Module 1, offering a comprehensive introduction to the dynamic world of information management. Explore the fundamental principles, practices, and the critical role information plays in organizational success. Lay the foundation for your career as an information management expert. 📜 Module 2: Information Governance Navigate the complex landscape of information governance with Module 2. Learn to establish policies, standards, and procedures that ensure the effective and secure use of information. Explore compliance, risk management, and ethical considerations, laying the groundwork for robust information governance practices. 🏰 Module 3: Information Architecture Build the foundation of organized information with Module 3, dedicated to information architecture. Explore the design and organization of information structures, ensuring accessibility, usability, and findability. Learn to create taxonomies, metadata frameworks, and user-centered information architectures for efficient data retrieval. 📊 Module 4: Data Management Master the art of data with Module 4, focusing on data management. Explore the lifecycle of data, from acquisition and storage to processing and analysis. Learn database management, data quality assurance, and the implementation of effective data governance practices. 📚 Module 5: Knowledge Management Transform information into organizational wisdom with Module 5, dedicated to knowledge management. Explore strategies for capturing, storing, and sharing organizational knowledge. Learn to foster a knowledge-sharing culture, leverage technology for collaboration, and enhance decision-making processes. 🌟 Why Choose Our Information Management Course? Industry-Experienced Instructors: Learn from seasoned information management professionals with a wealth of hands-on experience. Practical Learning: Engage in real-world projects, case studies, and simulations to apply your knowledge in a practical setting. Cutting-Edge Technologies: Familiarize yourself with the latest information management tools and technologies used in the industry. Career-Ready Skills: Graduate with skills that align with the demands of the evolving information management landscape. Don't miss the opportunity to become a steward of information excellence! Enroll now in the Information Management Course and position yourself for success in a field where your organizational skills and strategic thinking will shine. Your journey into the world of information management brilliance begins here! 💻✨🎓 Course Curriculum Module 1_ Introduction to Information Management. Introduction to Information Management. 00:00 Module 2_ Information Governance. Information Governance. 00:00 Module 3_ Information Architecture. Information Architecture. 00:00 Module 4_ Data Management. Data Management. 00:00 Module 5_ Knowledge Management. Knowledge Management. 00:00

Information Management Course
Delivered Online On Demand5 hours
£4.99

Introduction To Twitch TV Video Game Live Streaming

4.7(160)

By Janets

Register on the Introduction To Twitch TV Video Game Live Streaming 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 a digital certificate as a proof of your course completion. The Introduction To Twitch TV Video Game Live Streaming 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 Introduction To Twitch TV Video Game Live Streaming 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 Introduction To Twitch TV Video Game Live Streaming, 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. Course Content Introduction To Twitch TV Video Game Live Streaming Thank you for taking the course! What do you get out of it? 00:03:00 Introduction with John Shea. 00:03:00 Overview of Twitch.TV 00:06:00 Why do you want to stream on Twitch? 00:03:00 Partner Program, Subscriptions & Ways To Earn Revenue Streaming 00:03:00 Case studies of success on twich. Noahj456 used YouTube to build a large Twitch audience. 00:06:00 Syndicate has the most Twitch followers and built from YouTube. 00:04:00 Socialblade has hundreds more case studies you can view. 00:03:00 Which game to play? What are people watching? League of Legends is the top game on Twitch. 00:02:00 Looking deep into the browse features will show you a lot about streaming. 00:08:00 Play Anything You Want - But Keep Sight Of What's Trending 00:03:00 The opportunity is to find a game you like where people will watch. 00:04:00 New games on release day provide a great opportunity to get new viewers. 00:03:00 Hardware Setup and Picking a Streaming Platform To stream you need hardware to stream and software to manage it. 00:05:00 Simple getting started streaming solution: direct from the console with Twitch. 00:03:00 Entry level streaming solution: BenQ monitor and Elgato HD capture card. 00:04:00 The microphone is one of the most important pieces of equipment. 00:03:00 Wirecast is what I use to stream on my iMac with a green screen. 00:05:00 Open Broadcaster Software (OBS) 00:03:00 GameShow 00:01:00 Xsplit 00:04:00 Setting Up Your Channel Setting Up Your Channel 00:03:00 Getting High Quality Artwork For Your Channel 00:03:00 Adding a Greenscreen 00:02:00 Consistency & Your Personality Doing a little bit every day is the most effective way to do anything. 00:03:00 Being Entertaining On Your Stream 00:02:00 Playing Games Consistently For an Audience 00:02:00 Giving back to your streamers will ensure they come back. 00:04:00 Building a Following Uploading videos to Facebook works great for me to get people watching me game. 00:03:00 Uploading videos to YouTube works great to get organic traffic over time. 00:03:00 Follow for follow Facebook groups help to get your initial following fast. 00:03:00 Making Friends With Other Streamers 00:02:00 Receiving Donations While You Stream 00:03:00 How I handle haters and negative comments. 00:05:00 Conclusion The Conclusion To The Course 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Introduction To Twitch TV Video Game Live Streaming
Delivered Online On Demand1 hour 58 minutes
£25

Beat Information Overload

By Course Cloud

Course Overview Learn how to cope with the influx of messages and data that you get thrown at you on a daily basis by taking this innovative course on how to Beat Information Overload. Whether it's for personal or professional reasons, each one of us is regularly bombarded with requests, adverts, and updates across our digital inboxes and message apps. It makes it challenging to organise our time productively. However, this learning package is full of hints, tips, hacks, and techniques that will help you bin the bunkum and focus on the important business that needs taking care of. This Information Management tutorial contains ten expertly written modules, each one delivering a variety of ways in which a buildup of information can be handled and filtered for importance and relevance. You will be shown how to improve your memory, prevent spam messages, organise your work and personal communication links more effectively, and much more. If you feel that you are at your wits end with a deluge of data, then this is the course for you. Enrol now and realise your priorities. This best selling Beat Information Overload has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Beat Information Overload is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Beat Information Overload is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Beat Information Overload is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Beat Information Overload, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Beat Information Overload will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Beat Information Overload to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email. 

Beat Information Overload
Delivered Online On Demand
£25

QUALIFI Level 3 Diploma in Data Science

By School of Business and Technology London

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

QUALIFI Level 3 Diploma in Data Science
Delivered Online On Demand11 months
£780.35

Inventory Management Training

4.7(160)

By Janets

Register on the Inventory Management Training 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 a digital certificate as proof of your course completion. The Inventory Management Training 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 Inventory Management Training 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 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 Inventory Management Training, 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. Course Content Section 01: Meaning & Objective Introduction to Inventory Management 00:04:00 Introduction to Inventory Management Continues 00:10:00 Objective of Inventory Management 00:11:00 Section 02: Level For Inventory Level For Inventory 00:12:00 Maximum Stock Level 00:06:00 Example of Maximum Stock Level 00:07:00 Example of Maximum Stock Level Continues 00:08:00 Minimum Stock Level 00:11:00 Example of Minimum Stock Level 00:12:00 Ordering Level 00:06:00 Example Ordering Level 00:08:00 Danger Or Safety Stock Level 00:12:00 Section 03: Economic Order Quantity Economic Order Quantity 00:07:00 Cost Of Inventory 00:07:00 Optimal Quantity to Order 00:08:00 Optimal Quantity to Order Continues 00:06:00 Section 04: Example of EOQ EOQ 00:07:00 Example of EOQ 00:10:00 Price Discount and EOQ Example 00:09:00 Price Discount and EOQ Example Continues 00:07:00 EOQ Lead Time 00:10:00 Section 05: ABC Analysis ABC Analysis 00:07:00 Illustration 00:06:00 Section 06: Procurement Process Procurement Process 00:07:00 Procurement Process Continues 00:07:00 Section 07: Pricing Of Stores Receipts Pricing Of Stores Receipts 00:04:00 Illustration Pricing Of Stores 00:10:00 Methods of Inventory Valuations 00:11:00 FIFO Inventory Valuation 00:09:00 FIFO Inventory Valuation Continues 00:07:00 LIFO Inventory Valuation Continues 00:08:00 Average Cost Methods 00:07:00 Just In Time Inventory 00:08:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Inventory Management Training
Delivered Online On Demand4 hours 29 minutes
£25