5548 Courses

Innovation and Design - Thinking Beyond the Obvious: On-Demand Thinking and doing the same has got to change. The world we live in is becoming more volatile, uncertain, complex, and ambiguous. Expanding our innovation and design thinking capabilities is a key to unlock solutions for some of our biggest global and local challenges. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated context, this course provides participants with the knowledge needed to not only learn about innovation and what is needed to make it sustainable in your organization but also to inspire others to innovate and think beyond the obvious, What You Will Learn At the end of this program, you will be able to: Explain the link between innovation and strategy Describe the value of expanding your innovation practice and creating an innovative culture would be Apply a basic set of Design Thinking techniques to your innovation projects Promote innovative practices within your teams and processes in your work environment Foundation Concepts The context for innovation What is innovation Comparing innovation to invention Innovation and Strategy Run and changing the business The power of disruptors Three horizons of growth Strategy and innovation portfolio links Innovation strategy and delivery Measuring value from innovation Design Thinking What is design thinking Why design thinking Design thinking frameworks Stanford university d.School model Design thinking general practices Innovative Decision Making Leaders focus on value creation Effective decision making Characteristics of great leaders and sponsors Measuring innovation leadership effectiveness Situational leadership and overcoming bias Building an Innovative Team Forming innovative teams Values and behaviors that support innovation Building an energized team culture Mindset is key Embracing collaboration and multimodal working Innovative Culture Introduction to organizational culture Benefits and barrier to enterprise agility Enabling innovation across the organization Leaders are critical Success factors for an innovative culture

🌟 Unleash Your Full Potential with 'Building a Great Attitude for Life' Online Course! 🌟   Are you ready to transform your life and achieve unparalleled success? It all starts with the right mindset! Introducing our groundbreaking online course: 'Building a Great Attitude for Life.'   🚀 Elevate Your Life to New Heights! 🚀 Embark on a life-changing journey as you discover the power of cultivating a positive attitude. This course is meticulously designed to empower you with the tools, strategies, and mindset shifts needed to overcome challenges, seize opportunities, and create a life filled with joy, fulfillment, and success.   🌈 What You'll Gain from This Course:   1️⃣ Positive Mindset Mastery: Learn how to rewire your brain for positivity, turning challenges into opportunities and setbacks into stepping stones.   2️⃣ Resilience and Inner Strength: Develop the resilience to bounce back from life's curveballs with grace and fortitude.   3️⃣ Effective Goal Setting: Master the art of setting and achieving meaningful goals that align with your vision for a brighter future.   4️⃣ Confidence and Self-Esteem Boost: Build unshakeable self-confidence and elevate your self-esteem, unlocking doors to success and personal growth.   5️⃣ Healthy Relationships: Cultivate positive relationships in both personal and professional spheres by radiating positivity and kindness.   6️⃣ Stress Management Techniques: Discover proven techniques to manage stress and maintain a calm, focused mind even in the face of challenges.   🎓 Why Choose 'Building a Great Attitude for Life'?   ✨ Expert Guidance: Our course is crafted by industry experts with years of experience in personal development, psychology, and coaching.   ✨ Interactive Learning: Engage in dynamic lessons, exercises, and real-world applications to ensure you internalize and apply the concepts learned.   ✨ Flexible Learning: Access the course anytime, anywhere, and at your own pace. Life-changing transformation fits into your schedule.   ✨ Supportive Community: Connect with a like-minded community of learners, share experiences, and celebrate victories together.   🔥 Don't miss this opportunity to take charge of your life and create a future filled with positivity, success, and fulfillment! Enroll now and start building the attitude that will shape your destiny.   🌟 Join 'Building a Great Attitude for Life' today and pave the way to a brighter, more empowered you! 🌟   Course Curriculum

Are you looking for a course which will help you to advance your career in childcare setting then this Courses Bundle is perfect for you. Learn everything about childcare and their psychology with this Child Care Complete 8 Courses Bundle! This Child Care Complete Courses covers everything from the fundamentals of child attachment to the complexities of children's mental health. You'll learn everything you need to know to become an expert in Childcare and thrive in your career! What else? You will also gain the ability to nurture a responsive relationship with children, thereby contributing to their cognitive and physical development, simply by recognizing your child caring skills, as provided by our Child Care Complete Courses that has been specifically designed for you. Training Tale is dedicated to providing you with the best Childcare skills possible. With this Child Care Complete Courses, you will get 8 courses! It means you will get 8 different certificates of achievement once you complete all the courses successfully. Imagine how your CV will be enriched. And the PDF certificates are completely free. At Training Tale, we provide more than just courses, we also provide a rich learning experience. When you purchase a course from Training Tale, you get unlimited access to the course with tutor support. Our expert instructors are always available to answer any questions you may have and make your learning experience unforgettable. This self-pacedis ideal for all aspiring Childcare professionals because it is packed with up-to-date Child Care knowledge. Enrol in our Child Care Complete Courses now to take your Childcare eLearning experience to the next level! Let's see what are those 8 courses included in this Child Care Complete 8 Courses Bundle- Dyslexia Autism Diploma ADHD Awareness Course Nursery Nurse Childcare and Nutrition Level 3 Designated Safeguarding Lead Training Course Level 2 Certificate in Behaviour that Challenges in Children Advanced Diploma in Child Care Learning Outcomes By the end of this Child Care Complete Courses, you will be able to - Understand the fundamentals of child attachment training to secure the best chance of many years of Child Care employment Understand trauma treatments in children to be the best in the Childcare setting Understand the development of a child. Gain a solid understanding of all the Childcare factors that influence the development of a child Understand immunisation in children Gain a thorough understanding of infancy in Childcare Gain in-depth knowledge about mental health in children and much more! Why Choose Child Care Complete 8 Courses - Bundle from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Courses Bundle Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Course. Other Benefits of Child Care Complete 8 Courses Bundle 8 PDF Certificate Free Expert Tutor Support Lifetime Access Unlimited Retake ***Child Care Complete 8 Courses Bundle** Course 01: Dyslexia Course Curriculum Module 01: An Overview of Dyslexia Module 02: Learning Difficulties Due to Dyslexia Module 03: Impact of Dyslexia in the Educational Setting Module 04: Helping Adults with Dyslexia Module 05: Dyslexia in the Workplace Module 06: Approaches in Dyslexia Module 07: Dyslexia Strengths and Rewards Module 08: Assessment and Evaluation of Dyslexia Module 09: Dyslexia Friendly Learning Environment Module 10: Relevant Laws for Dyslexia Course 02: Autism Diploma Course Curriculum Module 01: Introduction to Autism Spectrum Disorder (ASD) Module 02: Approaches to Helping People and Children with Autism Module 03: Diagnosis of Autism Module 04: Communication Module 05: Cognitive Styles and Functions in Autism Module 06: Autistic Behaviour Module 07: Organisation Systems with Autistic Individuals Module 08: Autism Awareness Module 09: Government Policies on Autism in England Course 03: ADHD Awareness Course Course Curriculum Module 01: Overview of ADHD Module 02: The Experience of Treatment and Care for ADHD Module 03: Families and ADHD Module 04: Psychological Interventions for Children with ADHD in Educational Settings and Parent Training Module 05: ADHD and Attention Difficulties Module 06: Cognitive Approaches in ADHD Module 07: The Organisation of Care for ADHD Course 04: Nursery Nurse Course Course Curriculum Module 01: An Overview of Nursery Nurse Module 02: Recognizing Children's Growth and Development Module 03: Observation and Assessment of Children in Early Childhood Settings Module 04: How to Promote Equality, Diversity and Inclusive Practice in Early Years of Learning Module 05: Safeguarding and Protecting Young Children Module 06: Ensuring Health and Safety of Children in the Early Years Module 07: The Essence of Nutrition and Healthy Food for Children Module 08: Importance of Play and Learning in Children's Education Module 09: Ways of Working with Children Having Special Needs Module 10: Working in Partnership with Parents and Carers Course 05: Childcare and Nutrition Course Curriculum Module 01: Childcare and Nutrition Module 02: Children Growth and Development Module 03: Health and Safety of Children Module 04: Hygiene for Child Caring Module 05: The Use of Macronutrients Module 06: The Use of Micronutrients Module 07: Nutritional Requirements of Child Module 08: Child Nutritional Problem and Physical Development Module 09: Caring for Special Needs Children Module 10: Child Abuse and Neglect Module 11: Nutrition Education and Activities Course 06: Level 3 Designated Safeguarding Lead Training Course Course Curriculum Module 01: Introduction Module 02: Safeguarding Structure and Guidance Module 03: Recognising and Responding to Abuse Module 04: Responses Under the Safeguarding Structure Module 05: Working Together and Sharing Information Module 06: Recording Information Course 07: Level 2 Certificate in Behaviour that Challenges in Children Course Curriculum Module 1: Understand Behaviour That Challenges Module 2: Understand How to Support Positive Behaviour Module 3: Understand the Importance of Effective Communication and the Management of Behaviour That Challenges Module 4: Understand the Role of Reflection and Support for Those Involved in Incidents of Behaviour That Challenges Advanced Diploma in Child Care Course Curriculum Module 01: An Overview of Early Childhood Education Module 02: Empowering Children to Learn in the Early Years Module 03: The Process of Caring for Child's Development Module 04: Developing Socially and Emotionally Module 05: Aspects That Influence the Development Process Module 06: Stages of Language Development Module 07: The Process of Moral Development Module 08: Personality Development of Children Module 09: Problems During Infancy and Childhood Period Module 10: Adolescence's Problems Explained Module 11: Safeguarding Children Assessment Method After completing each module of Child Care Complete Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? Child Care Complete 8 Courses Bundle This Child Care Complete 8 Courses Bundle is ideal for anyone who wants to work or is already working in a child care setting. Requirements Child Care Complete 8 Courses Bundle There is no specific requirement to enrol for this Child Care Complete Course. However, you need to be over 16. Career path Child Care Complete 8 Courses Bundle After completing this Child Care Complete Courses, you may be able to pursue a variety of career opportunities. Such as - Child Protection Officer (Average Annual Salary in the UK: £25,000 to £40,000) Psychological Wellbeing Practitioner (Average Annual Salary in the UK: £24,907 to £44,503) Child Carer Certificates Certificate of completion Digital certificate - Included

Change management, dealing with change.

Overview Whether you want to secure your pension or help others get theirs, a clear understanding of pension is important. Deepen your knowledge and understanding of pension with our Pension Essentials course. Here, you will get to learn the fundamentals of the UK pension system in no time.  This course is developed to provide you with an overall understanding of the UK pension system. From the informative modules, you will learn about different types of pension schemes. Then, the course will educate you on pension regulation and fund governance. In addition, you will learn about the laws and regulations of pension schemes in the UK. Furthermore, the course will include modules on the challenges of the pension system in the UK. By the end of the course, you will be able to establish a clear understanding of the UK pension system. Course Preview Learning Outcomes Get familiarised with different types of pension schemes Understand the essentials of pension fund governance Learn about the laws and regulations of pension schemes in the UK Know the key challenges in the pension system Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? UK pension system Pension regulation Who Should Take This Pension Essentials? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Pension Essentials Certification After completing and passing the Pension Essentials course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Pension Essentials course will equip you with effective skills and abilities and help you explore career paths such as  HR professionals Finance manager Accountant Legal advisor Module 01: Overview Of The UK Pension System Overview of the UK Pension system 00:14:00 Module 02: Type Of Pension Schemes Types of Pension Schemes 00:20:00 Module 03: Pension Regulation Pension Regulation 00:33:00 Module 04: Pension Fund Governance Pension Fund Governance 00:22:00 Module 05: Law And Regulation Of Pensions In The UK Laws and Regulation of the Pension System in the UK 00:18:00 Module 06: Key Challenges In UK Pension System Key Challenges in the UK Pension System 00:14:00 Assignment Assignment - Pension UK 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

COURSE INTRODUCTION  The purpose of this course is to introduce / refresh participants’ knowledge and skills in the essential aspects of diabetes management in their practice setting.  AIMS AND OBJECTIVES  Identify their current knowledge of diabetes care and how confident they feel about offering advice to a patient with diabetes and or their family. Purpose and outcomes of the main treatment options for people with diabetes . Discuss the importance of addressing the person’s needs and how regular clinic visits impact on the management of diabetes All course materials and certificate of attendance Accreditation 6 CPD points awarded completion. Accredited by One Awards (*Certificate £30) and CPD Standards (*Certificate free) Discuss how to build relationships and establish an environment that enables the person with diabetes to take an active role in their diabetes management  COURSE CONTENTS OVERVIEW  Aetiology and diagnosis of type 1 and type 2. Difference between type 1 and type 2 diabetes  Implications for practice  Management goals TYPE 1  Treatment and management options  Carbohydrate awareness  Challenges in self-management  Hypoglycaemia and hyperglycaemia  Screening and the annual review TYPE 2  First line treatment and step-wise options  Food choices and relation to risk  Activity and type 2 diabetes  Cardiovascular disease and type 2 diabetes  Screening and annual review  SUPPORTING PEOPLE WITH DIABETES AND THEIR FAMILY  Seeing the person not the disease  Consultation skills  Ongoing support needs .  Food and lifestyle messages for diabetes  Annual review and screening including foot care advice  Blood glucose monitoring  Consultation skills and relationship building  Complications and treatment options  WHO SHOULD ATTEND?  Nurses HCAs

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 150 CPD Points | Lifetime Access

***24 Hour Limited Time Flash Sale*** Financial Analysis, Corporate Finance with Financial Investigator Training Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Looking forward to becoming the Next Finance Guru in the world of fast-growing Corporates? Or want to be self-sufficient by enriching yourself with Finance knowledge? Welcome to the captivating world of financial analysis, corporate finance, and financial investigation. Our exclusive bundle, "Financial Analysis, Corporate Finance with Financial Investigator Training," is designed to empower learners like you with essential knowledge and skills in these dynamic fields. Embark on a journey that will not only expand your understanding but also boost your career prospects. With two QLS-endorsed courses and five CPD QS-accredited courses, this comprehensive bundle is a gateway to success. Within this bundle, you will find three QLS-endorsed courses that grant you industry-recognized qualifications. These courses, namely Financial Analysis, Introduction to Corporate Finance, and Finance: Financial Investigator, delve deep into their respective subjects and equip you with the expertise to excel. As a testament to your accomplishments, you will receive hardcopy certificates for each of these courses. Additionally, our bundle includes five CPD QS-accredited courses, ensuring that you stay at the forefront of the industry. Dive into the intricacies of Financial Management, Financial Risk Management, Accounting and Finance, Corporate Finance: Profitability in a Financial Downturn, and Corporate Finance: Working Capital Management. These courses provide valuable insights and keep you updated with the latest standards and practices. Moreover, as a bonus, you will receive five career-boosting courses absolutely free with this bundle. Enhance your professional journey with courses in Professional CV Writing, Job Search Skills, Self-Esteem & Confidence Building, Professional Diploma in Stress Management, and Complete Communication Skills Master Class. Immerse yourself in this unparalleled learning experience, seize the opportunity to gain a competitive edge, and unlock a world of possibilities in the realms of financial analysis, corporate finance, and financial investigation. Enrol today and embark on a transformative educational journey that will shape your future. Key Features of the Financial Analysis, Corporate Finance with Financial Investigator Training Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Financial Analysis, Corporate Finance with Financial Investigator Training bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Financial Analysis QLS Course 02: Introduction to Corporate Finance QLS Course 03: Finance: Financial Investigator 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Financial Management Course 02: Finance: Financial Risk Management Course 03: Accounting and Finance Course 04: Corporate Finance: Profitability in a Financial Downturn Course 05: Corporate Finance: Working Capital Management In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Financial Analysis, Corporate Finance with Financial Investigator Training courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Acquire a comprehensive understanding of financial analysis and its practical applications. Develop a strong foundation in corporate finance, including financial planning and decision-making. Gain the skills to investigate financial activities, identify irregularities, and mitigate risks effectively. Analyse financial statements and interpret key financial ratios to assess business performance. Master the concepts of financial risk management and implement strategies to safeguard organisations. Demonstrate proficiency in accounting principles and practices, enabling informed financial decision-making. Learn techniques to optimise working capital management and navigate financial challenges during downturns. Explore the intricacies of financial analysis, corporate finance, and financial investigation with our comprehensive bundle, "Financial Analysis, Corporate Finance with Financial Investigator Training." This engaging course package is designed to provide you with the knowledge and expertise necessary to thrive in these interconnected domains. With three QLS-endorsed courses and five CPD QS-accredited courses, this bundle covers a wide range of topics, ensuring a well-rounded learning experience. Delve into the world of financial analysis, where you will gain a comprehensive understanding of its principles, techniques, and applications. Discover how financial statements are analysed, and learn to interpret key ratios to assess the financial health of organisations. Acquire the skills to make informed financial decisions and identify opportunities for growth and improvement. In the realm of corporate finance, you will explore the fundamental concepts that drive financial planning and decision-making within organisations. Understand the intricacies of capital budgeting, cost of capital, and capital structure, and develop the ability to optimise financial resources to maximise shareholder value. Moreover, gain insights into profitability management during financial downturns and learned strategies to navigate challenges successfully. The course also delves into the world of financial investigation, equipping you with the necessary skills to identify irregularities, detect fraud, and mitigate financial risks. Learn to apply investigative techniques and tools to uncover potential financial misconduct, ensuring the integrity and transparency of financial operations. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals seeking to enhance their knowledge and skills in financial analysis, corporate finance, and financial investigation. Accounting professionals looking to broaden their understanding of financial management and corporate finance principles. Individuals interested in pursuing a career in finance, investment, or financial investigation. Entrepreneurs and business owners aim to make informed financial decisions and effectively manage their organisations' resources. Career path Financial Analyst: £35,000 - £70,000 Corporate Finance Manager: £50,000 - £100,000 Financial Investigator: £30,000 - £60,000 Risk Manager: £40,000 - £90,000 Accounting Manager: £35,000 - £70,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

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.

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