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3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

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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.

This course has been developed for family, friends, school staff, college staff, carers, youth workers, children and young people wanting to be more confident supporting others with their mental health. This mental health first aid course will help you recognise warning signs of mental ill health and equip you with skills and confidence to assist a child or young person you believe to be in need of support. In addition the course will give you vital tips on achieving optimum mental health and will give you skills to develop resilience, learn new ways to cope with stress, advise on sleeping better and positive ways you can boost your wellbeing and the mental health of those you care for. This online qualification will provide you with the knowledge to spot specific warning signs that an adult, child or young person could be struggling with a mental health condition, it explains how to initiate a supportive conversation, explore healthier lifestyle choices and links to the wealth of additional support available if someone needs further help. Ideal for individuals needing additional help and guidance to support their mental well-being, for those looking to introduce positive mental health practices to their workplaces, for teachers and support staff and friends, family and colleagues wanting more information on this vital topic It is estimated that around 1 in 4 people in the UK will experience a mental health condition at some point in their lives. Around 20% of adolescents experience a mental health problem in any given year. 50% of mental health problems are established by age 14 and 75% by age 24. It is vital that more people have the skills and understanding to identify that someone may be struggling and the knowledge and resources to signpost them to professionals who can give them the help they need. The scope of this mental health first aid course is not learn to diagnose or treat mental health conditions as this should only be done by appropriately trained healthcare professionals. However, you will be guided in identifying signs someone might be struggling and we will equip you with a methodology to appropriately support them and a directory of people where you can signpost them for help. It is impossible to cover all eventualities within this course, or to equip you with the knowledge and skills to appropriately diagnose and treat in unpredictable real life situations. If you suspect serious illness or injury, you should always seek immediate professional medical advice. The Author has made every effort to ensure the accuracy of the information contained within the course, however this course is merely a guide and the Author does not accept any liability or responsibility for any inaccuracies or for any mistreatment or misdiagnosis of any person, however caused. The course material has been written by Emma Hammett, Qualified Nurse, First Aid Trainer and founder of First Aid for Life in conjunction with other medical and first aid professionals. If you have any queries concerning this course, please contact emma@firstaidforlife.org.uk

A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Ultimate Guide to Discrete Mathematics online course. Ultimate Guide to Discrete Mathematics covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Ultimate Guide to Discrete Mathematics.  The Ultimate Guide to Discrete Mathematics course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Ultimate Guide to Discrete Mathematics will equip you with the skills required to set yourself up for career success. The Ultimate Guide to Discrete Mathematics provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Ultimate Guide to Discrete Mathematics.

Course Overview A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Certificate in Food Hygiene online course. Certificate in Food Hygiene covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Certificate in Food Hygiene.  The Certificate in Food Hygiene course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Certificate in Food Hygiene will equip you with the skills required to set yourself up for career success. The Certificate in Food Hygiene provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Certificate in Food Hygiene.

Course Overview A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Cisco BGP Training online course. Cisco BGP Training covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Cisco BGP Training.  The Cisco BGP Training course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Cisco BGP Training will equip you with the skills required to set yourself up for career success. The Cisco BGP Training provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Cisco BGP Training.

London yoga teacher training course, led by senior teachers with decades of experience. Trauma sensitive, somatic approach. Online and in-person.

Advanced Professional Certificate Courses These are short online certificate courses of a more advanced nature designed to help you develop professionally and achieve your career goals, while you earn a professional certificate which qualifies you for the appropriate continuous professional development (CPD). Advanced Professional Certificate in International Trade Law This Advanced professional certificate course covers essential topics relating to international trade and international sales contracts. First, this course explores international trade's legal and regulatory landscape and how this practice can negatively and positively impact economies, societies, and the environment. In addition, the course introduces some fundamental concepts, reflects on relevant market theories, and then presents an in-depth analysis of complex international trade agreements and mechanisms, including GATT and WTO. Second, the course explores the English legal and regulatory landscape of the sales of goods and the principles on which law practitioners draft and negotiate these contracts. The course introduces some fundamental concepts relating to the rights and obligations of buyers and sellers in sales contracts. Moreover, the course will help participants reflect on the scope and provisions of the Vienna Convention for the international sale of goods by introducing fundamental concepts explaining the obligations of the seller and buyer under the agreement and analysing remedies offered to the buyer and seller. The course also introduces fundamental concepts such as the foreign exchange markets and various payment methods in international trade. Course Details After the successful completion of this lecture, you will be able to; Measure the impact of international trade on economies and the environment. Reflect on relevant market theories. Understand the structure, role, and function of the world trade organisation. Understand the construction of contracts of sales of goods and products in English law. Determine the rights and obligations of buyer and seller in international sales contracts. Reflect on the remedies offered to the buyer and seller in case of breach of contract. Understand the different types and effects of incoterms rules. Reflect on the scope and provisions of the Vienna Convention for the international sale of goods. Understand the obligations of the seller and buyer under the CISG. Analyse remedies offered to the buyer and seller under the CISG. Reflect on the economic foundations of international sales contracts. Understand the function of foreign exchange markets. Understand various methods of payment in international trade. Accreditation The content of this course has been independently certified as conforming to universally accepted Continuous Professional Development (CPD) guidelines. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. Legal advisors. Law practitioners. Contract specialists. Legal officers. Contract managers. Business developers. Trade advisors. Trade compliance officers. Law lecturers. Business lecturers. Legal and business researchers.