27905 Development courses in Leicester delivered Online

Overview Financial Accounting and reporting play a very important role within the organization and its stakeholders. This course is designed to analyze the functions of financial reporting in communication and its effects on decision-making processes or managerial decisions. It will highlight the accounting and financial standards-setting process and its implication on the organization globally. Financial accounting and reporting discuss how accountants act as processors and purveyors of information for decision-making and the needs of those who use accounting information. It also looks at the role performed by accountants and notes the need to be aware of relevant regulatory and conceptual frameworks. 

Overview Cyber Security plays an important role in every business as it encompasses everything that relates to protecting sensitive data, personal information, intellectual property, data, and governmental and industry information systems from theft and damage attempted by criminals and adversaries. This course is designed to understand and gain practical skills to plan, deliver and monitor IT/cyber security to internal and external clients understanding a complete, knowledge in the areas of IT policies, Security-Operational-Run-Book, security/penetration testing, ethical hacking and black hat hacking including understanding the basics of Kali Operating System and its tools and techniques. It will also cover WiFi security, Website security, human factors, cyber forensics, and cyber security team management, including all other areas in relation to Cyber Security.

Overview Objective Understanding the Importance of Business Analysis Model Determining various techniques of Process Modelling Understanding the scope of modelling Efficiently mapping the business landscape Analysing the enterprise structure How to avoid project failures. Learning efficient skills of being a successful business analyst. Understand and document various techniques for the organization delivers value. Successful project conversion Building team, changing the organization and overcoming resistance. Creating an effective Business Case.

This Diploma in Pharmacology at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Are you familiar with Alexander Fleming's discovery of penicillin in 1928? That was the birth of modern pharmacology, which has since saved millions of lives worldwide. If you want to contribute to the ever-evolving field of medicine, then our Pharmacology Training course is the perfect opportunity for you. In this course, you will learn about the fundamental principles of pharmacology, drug development and regulation, neuropharmacology, chemotherapy, and more. Our comprehensive eight-module course covers a wide range of topics, including inflammation and immune pharmacology, and toxicology. You will have the opportunity to develop a deep understanding of pharmacology and learn how to apply your knowledge to real-world scenarios. This Pharmacology course will guide you through each module, ensuring that you have a strong grasp of each topic before moving on to the next one. By the end of this course, you will have a thorough understanding of pharmacology and be able to apply your knowledge to real-world scenarios. You will also develop the skills necessary to evaluate and analyse pharmacological data, understand drug development and regulation, and be able to work in teams to solve complex problems. This course will equip you with the knowledge and skills necessary to succeed in the field of pharmacology. After this Pharmacology Training course, you will be able to learn: Understand the fundamental principles of pharmacology Analyze drug development and regulation Evaluate the effects of neuropharmacology on the body Understand cardiovascular and endocrine pharmacology Analyze chemotherapy treatments for various diseases Understand inflammation and immune pharmacology Why Prefer This Pharmacology at QLS Level 5 Diplloma from HF Online? Pharmacology FREE certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS Get a free student ID card! (£10 postal charge will be applicable for international delivery) with Pharmacology course Innovative and engaging content of Pharmacology Free assessments available with Pharmacology 24/7 tutor support available Get Lifetime Access Get Free CPD Certified PDF Certificate Take a step toward a brighter future! *** Course Curriculum of Pharmacology at QLS Level 4*** Module 01: Fundamental Principles of Pharmacology Module 02: Drug Development and Regulation Module 03: Neuropharmacology Module 04: Cardiovascular Pharmacology Module 05: Endocrine Pharmacology Module 06: Chemotherapy Module 07: Inflammation and Immune Pharmacologyc Module 08: Toxicology Assessment Process of Pharmacology at QLS Level 4 You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Pharmacology at QLS Level 4 exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring pharmacologists Medical students Pharmaceutical researchers Healthcare professionals Individuals interested in the field of medicine Science graduates Requirements No prior background or expertise is required to enrol on this course. Career path Pharmacologist Pharmaceutical Scientist Medical Science Liaison Clinical Research Associate Pharmacovigilance Officer Regulatory Affairs Manager Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Pharmacology at QLS Level 4 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Pharmacology at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

Embark on a transformative educational journey with our course, 'Designing an L&D Strategy to Power Digital Transformations.' In a digital era where change is the only constant, this course is your gateway to unlocking the secrets of Learning and Development (L&D) strategies that fuel digital transformations. Dive into the intricacies of digital transformation and understand the pivotal role L&D plays in meeting the evolving needs of businesses. From defining L&D goals to mastering the 70-20-10 learning framework, this course offers a comprehensive roadmap for crafting strategies that not only meet the demands of the present but also pave the way for future success. As you traverse through the modules, you'll be guided through the crucial steps of role analysis, competency mapping, and the implementation of the 70-20-10 model. This course isn't just about theory; it's a hands-on experience that empowers you to add wings to your L&D strategy. Elevate your skills, embrace the digital future, and position yourself as a key player in driving organizational success through well-crafted learning and development initiatives. Learning Outcomes Digital Transformation Expertise: Gain a profound understanding of digital transformation and discover the integral role of L&D in meeting business demands. Role Analysis and Competency Mapping: Master the art of role analysis and competency mapping, essential steps in tailoring L&D strategies to organizational needs. 70-20-10 Learning Framework Mastery: Explore the 70-20-10 model and define strategies to empower this learning framework, ensuring a holistic approach to employee development. Implementation Skills: Learn to put theories into action with hands-on experience, ensuring that your L&D strategies are not only theoretical but also practical and effective. Future-Ready L&D Strategies: Acquire the skills needed to design L&D strategies that go beyond the present, preparing organizations for the challenges of tomorrow. Why choose this Designing an L&D Strategy to power Digital Transformations course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Designing an L&D Strategy to power Digital Transformations course for? L&D Professionals HR Managers Business Leaders Training Coordinators Anyone Involved in Organizational Development Career path Learning and Development Manager: £40,000 - £70,000 HR Consultant: £35,000 - £60,000 Organizational Development Specialist: £40,000 - £65,000 Training and Development Coordinator: £30,000 - £50,000 Human Resources Manager: £45,000 - £75,000 Change Management Consultant: £50,000 - £80,000 Prerequisites This Designing an L&D Strategy to power Digital Transformations does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Designing an L&D Strategy to power Digital Transformations was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction Do You Know? 00:01:00 Course Introduction 00:02:00 What You'll Learn 00:01:00 Module 02: Digital Transformation And The Role Of L&D Digital transformation Defined 00:02:00 The Business Ask from L&D 00:01:00 Module 03: The Start Line For L&D What's the L&D Goal? 00:01:00 Role Analysis & Competency Mapping - the 1st Step 00:02:00 Role Analysis & Competency Mapping - An Overview 00:02:00 Role Analysis - Part I Procedure 00:03:00 Competency Mapping - Part II Procedure 00:02:00 Putting into Action & Post Course Support 00:01:00 The Next Step 00:01:00 Module 04: The 70-20-10 Learning Framework Introduction 00:01:00 The 70-20-10 Model of Learning 00:03:00 Defining a 70-20-10 Learning Strategy 00:03:00 Strategies & Learning Tech to Empower 70-20-10 00:05:00 Putting into Action & Post Course Support 00:01:00 Module 05: Add Wings To Your L&D Strategy Introduction 00:01:00 Bonus Lecture@ 00:02:00

This programme will guide your team of up to 12 people toward delegating more effectively. The 3 part series of digital self-paced and instructor-led content explores how you can utilise practical frameworks to elevate productivity and performance. By identifying the styles of delegation that are commonly used, you will create an optimal strategy for successful delegation. During the facilitated live session there will be the opportunity to share best practice and discuss planned application to your role.

24-Hour Flash Sale! Prices Reduced Like Never Before!! If you analyse the corporate landscape of the UK, you can easily understand that only those businesses evolved and expanded that had strong bases of Payroll, Human Resources, and Employment Law. Recent studies show that compliance with Employment Law reduces litigation risks by up to 60%, highlighting the indispensable nature of expertise in these areas. Enter the "Payroll, HR, Employment Law - QLS Endorsed" bundle, a program designed to transform learners into the backbone of any thriving business, equipped with knowledge, skills, and certifications that set them apart in the competitive market. This bundle offers an unparalleled insight into the critical realms of Payroll Management, HR, and Employment Law. From mastering payroll systems like Xero and navigating the complexities of HR Audits, this course is a treasure chest of knowledge. It further enhances your Leadership capabilities, equips you for Safer Recruitment practices, and prepares you to Manage Remote Teams effectively. Key Features of the Payroll, HR, Employment Law - QLS Endorsed Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Payroll, HR, Employment Law - QLS Endorsed bundle, providing you with industry-recognised qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Diploma in Payroll: Payroll Management at QLS Level 4 QLS Course 02: Advanced Diploma in HR (Human Resources) at QLS Level 7 QLS Course 03: Diploma in Employment Law at QLS Level 5 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: Xero Accounting & Bookkeeping Diploma for Payroll Management Course 02: Motivating, Performance Managing and Maintaining Team Culture in a Remote Team Course 03: Certificate in HR Audit Course 04: Safer Recruitment Training Course 05: Leadership Training 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 This all-encompassing bundle empowers you to transform your career trajectory. Imagine the confidence of commanding a competitive salary and the satisfaction of landing your dream job in HR or Payroll. Take charge of your future - enrol today and unlock your full potential! Learning Outcomes of the Bundle: Master payroll management systems and processes at an advanced level. Gain comprehensive knowledge of HR practices and employment law. Develop strategies for motivating and managing remote teams effectively. Learn the principles of HR audits and safer recruitment practices. Enhance leadership skills for fostering a strong team culture. Improve professional communication, CV writing, and stress management. Why Prefer this Course? Get a Free QLS Endorsed Certificates upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum Course 01: Diploma in Payroll: Payroll Management at QLS Level 4 Module 01: Payroll System in the UK Module 02: Payroll Basics Module 03: Company Settings Module 04: Legislation Settings Module 05: Pension Scheme Basics Module 06: Pay Elements Module 07: The Processing Date Module 08: Adding Existing Employees Module 09: Adding New Employees Module 10: Payroll Processing Basics Module 11: Entering Payments Module 12: Pre-Update Reports Module 13: Updating Records Module 14: e-Submissions Basics Module 15: Process Payroll (November) Module 16: Employee Records and Reports Module 17: Editing Employee Records Module 18: Process Payroll (December) Module 19: Resetting Payments Module 20: Quick SSP Module 21: An Employee Leaves Module 22: Final Payroll Run Module 23: Reports and Historical Data Module 24: Year-End Procedures Course 02: Advanced Diploma in HR (Human Resources) at QLS Level 7 Module 01: Introduction to Human Resources Module 02: An Overview of the Recruitment Industry Module 03: The UK Recruitment Legislation Module 04: The Recruitment Process Module 05: Negotiation Techniques Module 06: Key Performance Indicators for the Recruitment Industry Module 07: Employee Training and Development Process Module 08: Candidate Management Module 09: Candidate Interview Processes Module 10: Managing Meetings and Giving Feedback Module 11: Performance Appraisal Management Module 12: Employee Relations Module 13: Motivation and Counselling Module 14: Ensuring Health and Safety at the Workplace Module 15: Employer Records and Statistics Module 16: Conflict Management Module 17: Employee Termination Module 18: Organisational Skills Module 19: Communication Skills Module 20: Stress Management Module 21: Time Management Course 03: Diploma in Employment Law at QLS Level 5 Module 01: Basic of Employment Law Module 02: Legal Recruitment Process Module 03: Employment Contracts Module 04: Employee Handbook Module 05: Disciplinary Procedure Module 06: National Minimum Wage & National Living Wage Module 07: Parental Rights, Sick Pay & Pension Scheme Module 08: Discrimination in the Workplace Module 09: Health & Safety at Work Module 10: Dismissal, Grievances and Employment Tribunals Module 11: Workplace Monitoring & Data Protection =========>>>>> And 10 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*13 = £169) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £90) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £360) CPD 260 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Requirements You will not need any prior background or expertise to enrol in this course. HR professionals Payroll managers Team leaders Business owners Career switchers Recent graduates Career path After completing this bundle, you are to start your career or begin the next phase of your career. HR Manager: £30,000 to £80,000 Payroll Manager: £35,000 to £65,000 Recruitment Manager: £35,000 to £80,000 HR Advisor: £25,000 to £45,000 Payroll and HR Administrator: £20,000 to £30,00 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Diploma in Payroll: Payroll Management at QLS Level 4 - £99 Advanced Diploma in HR (Human Resources) at QLS Level 7 - £139 Diploma in Employment Law at QLS Level 5 - £119 Please note that International students have to pay an additional £10 as a shipment fee.

Talent Management is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Talent Management and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 02 hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Section 1: Introduction Unit 1: Welcome to the Course 00:05:00 Unit 2: Highlights of this Course 00:02:00 Unit 3: Little Activity Before We Begin 00:01:00 Section 2: Core Concepts of Talent Management Unit 1: What is Talent Management 00:03:00 Unit 2: Responsibilities of Talent Management Manager & Professionals 00:02:00 Unit 3: Talent Management - The Pillar of Successful Business 00:03:00 Unit 4: Benefits of Talent Management: How Your Business Can Benefit From it 00:02:00 Section 3: Top Reasons Why Employees Leave an Organisation Unit 1: Top 5 Reasons Why Employees Leave an Organisation 00:04:00 Unit 2: Reasons of Employee Resignation 00:03:00 Section 4: Understanding the Needs and Mindset of Employee Unit 1: The Most Useful Technique to Understand Employee's Needs 00:04:00 Unit 2: Practical, Real Life Example of Retaining Top Employees & Keeping Them Engaged 00:06:00 Section 5: Steps to Create an Effective Talent Management Plan Unit 1: Steps in Talent Management Process 00:02:00 Section 6: Talent Acquisition Unit 1: What is Talent Acquisition and How it is Different from Recruitment 00:02:00 Unit 2: Steps for Talent Acquisition 00:05:00 Unit 3: Top Selection Tests to Check Candidate's Potential 00:04:00 Unit 4: Manpower Estimation Template 00:01:00 Section 7: How to Develop High Potential Employees Unit 1: Creating a High Performance Workforce 00:05:00 Unit 2: Understanding the Difference Between Training & Development 00:02:00 Unit 3: Why Talent Development Process is Important for Employees 00:02:00 Unit 4: How Talent Development Helps in Running the Business Smoothly 00:03:00 Unit 5: Steps in Developing the Talent 00:02:00 Section 8: Evaluating Performance Unit 1: Performance Management 00:02:00 Unit 2: Performance Appraisal 00:01:00 Unit 3: Tools for Performance Appraisal 00:06:00 Section 9: "SMR" - How You Can Retain the Employees Using This Formula Unit 1: 'SMR' - How You Can Retain the Employees Using This Formula 00:04:00 Section 10: How to Retain High Potential Employees Unit 1: Employee Retention Programs 00:02:00 Unit 2: Onboarding Correctly 00:06:00 Unit 3: Career Planning & Development 00:04:00 Unit 4: Job Promotions 00:05:00 Unit 5: Using Motivators (Financial & Non- Financial Incentives) 00:05:00 Unit 6: Maintaining Work-Life Balance 00:02:00 Section 11: Bonus Section: Achieving Business Goals with Talent Management Strategy Unit 1: Return on Investment (ROI) on Talent Management 00:03:00 Unit 2: Achieving Business Goals with The Help of Talented Workforce 00:04:00 Unit 3: Little Activity Before We Began - Here's What You Learnt 00:02:00 Section 12: Conclusion Unit 1: Conclusion 00:01:00 Resources Resources - Talent Management Level 3 00:00:00

This Diploma in Team Management at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! As multinational organisations are shifting to a more flat, group-based structure, employers must find out how to mix full-time operational tasks with leadership and managerial roles. People who desire to be or are currently in positions of leadership in any organisation would benefit significantly from comprehensively designed Team Management at QLS Level 5 course. The purpose of this Team Management course is to provide students with the fundamental information required to manage and encourage high-performing teams successfully. It also includes talent management, succession planning, and risk management approaches. It will help you to improve your organisational, communication, negotiation, and conflict management abilities. You will also learn about motivating team members as a part of leadership, as well as dispute resolution and coping with office politics. This Team Management course will also teach you the fundamentals of managing virtual teams. Working in team management is a fascinating job. This career pays well and has several prospects for advancement in the United Kingdom. So, do not sell yourself short. Instead, enrol in our complete package of Team Management at QLS Level 5 course to establish a successful career in management. Upon completion of the Team Management at QLS Level 5 course, you will be able to, Understand how to define a team. Improve your management and leadership skills. Learn to build high-performing teams. Get an overview of talent management, stress management, and mental health. Determine the methods of negotiation techniques. Know the steps of managing time effectively. Recognise the importance of the risk management process. Learn the key fundamentals of managing virtual teams. Why Prefer This Team Management at QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Team Management at QLS Level 5 course: Module 01: Defining Team Module 02: Understanding Management and Leadership Module 03: Building High Performing Teams Module 04: Motivating Team Members Module 05: Talent Management Module 06: Stress Management and Mental Health Module 07: Succession Planning Module 08: Communication Skills Module 09: Negotiation Techniques Module 10: Managing Change Module 11: Managing Time Module 12: Managing Conflict Module 13: Risk Management Process Module 14: Managing Virtual Teams Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Team Management at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Team leaders and managers HR professionals Business owners and entrepreneurs Project managers Anyone interested in improving their team management skills Requirements No prior background or expertise is required. Career path This Team Management at QLS Level 5 course is designed uniquely to benefit the following careers. Team Manager (average salary £40,000) HR Manager (average salary £45,000) Project Manager (average salary £47,000) Business Development Manager (average salary £35,000) Operations Manager (average salary £42,000) Virtual Team Manager (average salary £40,000) Certificates Certificate of completion Digital certificate - Included Diploma in Team Management at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Team Management at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme andalso you can order CPDQS Accredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.

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.