24855 Development courses in Leeds delivered On Demand

Are you ready to advance your career in the field of education? Our HLTA - Level 4 Certificate for Higher Level Teaching Assistants (RQF) is not just an ordinary qualification; it's a mark of excellence recognized by Ofqual and the UK Government. This Higher Level Teaching Assistant - HLTA Level 4 Qualification serves as your gateway to earning a respected and professional credential that can truly transform your educational career. Immerse yourself in the world of professional knowledge, child development, and special educational needs. Master the skills of effective communication, curriculum planning, and assessment techniques. Learn how to expertly manage behaviour and leave a lasting impact on the learning journey of children and young people. This Higher Level Teaching Assistant - HLTA Level 4 Qualification is not just a job opportunity; it's a path to a fulfilling and influential role in the education sector. Learning Outcomes in Higher Level Teaching Assistant - HLTA Level 4 Qualification Develop a comprehensive understanding of the roles and responsibilities of Higher Level Teaching Assistants. Cultivate effective teamwork and collaboration within an educational environment. Gain valuable insights into child development, including influencing factors and parental involvement. Acquire the necessary skills to support learners with diverse needs and promote positive behavior. Why Choose Focus Awards? Selecting Focus Awards for your educational and training programs offers several key advantages. As an accrediting body governed by Ofqual, their qualifications are widely recognized, both nationally and internationally, ensuring that you are held to the highest educational standards. Focus Awards' commitment to professionalism, rapid growth, and diverse range of qualifications makes them a dynamic choice for a relevant and exceptional learning experience. Choosing Focus Awards can elevate your career prospects, personal development, and educational achievements. Benefits You Will Gain in Higher Level Teaching Assistant - HLTA Level 4 Qualification Access to high-quality virtual learning materials. 24/7 access to course modules. A user-friendly online platform. Compliance with established standards. A recognized qualification. Exceptional customer service. Guided Learning Hours in Higher Level Teaching Assistant - HLTA Level 4 Qualification This Higher Level Teaching Assistant - HLTA Level 4 Qualification requires a total of 108 hours of Guided Learning Hours (GLH), which includes direct interactions and support from educators or trainers. These hours ensure that learners receive appropriate guidance and assessment throughout their educational journey. Total Qualification Time in Higher Level Teaching Assistant - HLTA Level 4 Qualification Total Qualification Time (TQT) encompasses both Guided Learning Hours (GLH) and an estimate of hours dedicated to independent preparation, study, and other learning activities, including assessments, under the guidance of educational staff but not directly supervised. The credit value of a qualification is determined based on TQT, with each credit representing 10 hours of learning. For this Higher Level Teaching Assistant - HLTA Level 4 Qualification, the Total Qualification Time is 360 hours, with a total credit value of 36. Method of Assessment in Higher Level Teaching Assistant - HLTA Level 4 Qualification Assessment activities: Multiple short assignments requiring evidence of general reading and appropriate references. Submission: All assignments must be submitted via the online portal. Pass criteria: To attain a Pass, learners must meet all learning outcomes; no grading system is applied. Assessment process: Tutor-marked assignments are administered after completing each unit, with comprehensive feedback. External assessment: Tutor-marked tasks are also subject to assessment by a qualified professional. Quality assurance: Tasks undergo both internal and external moderation processes to ensure they meet the required standards for both learners and assessors. Progression after Higher Level Teaching Assistant - HLTA Level 4 Qualification Learners who complete the Higher Level Teaching Assistant - HLTA Level 4 Qualification have the opportunity to explore these pathways and further enhance their teaching skills and career prospects. Focus Awards Level 3 Award in Education and Training (RQF): A foundational course for those interested in teaching and training roles. Focus Awards Level 4 Certificate in Education and Training (RQF): A comprehensive program designed for aspiring educators and trainers. Focus Awards Level 5 Diploma in Education and Training (RQF): An advanced qualification suitable for educators aiming to excel, often serving as a stepping stone toward achieving Qualified Teacher Status (QTS). Qualification Purpose The HLTA - Level 4 Certificate for Higher Level Teaching Assistants (RQF) by Focus Awards is tailored for current teaching assistants with aspirations to become Higher Level Teaching Assistants. Its primary purpose is to enhance their knowledge and skills, enabling them to effectively support individuals and small groups in educational settings while addressing various additional needs. Who is this course for? This Higher Level Teaching Assistant - HLTA Level 4 Qualification is for: Aspiring Higher Level Teaching Assistants Current Teaching Assistants with ambitions to advance their careers Individuals deeply committed to inclusive education Those seeking to support learners with diverse needs Requirements Candidates looking to enrol in this program must meet specific entry criteria. Minimum age: 16 years Employment as a teaching assistant in a school Work placement can be in a primary, secondary, or special school Career path Upon completion of the Higher Level Teaching Assistant - HLTA Level 4 Qualification, you can pursue various career paths as follows: Higher Level Teaching Assistant (HLTA): £18,000 to £30,000 per year Special Educational Needs Coordinator (SENCO): £30,000 to £45,000 per year Classroom Teacher (Starting): £25,714 to £32,157 per year Educational Consultant: £30,000 to £60,000 per year Note: Registration, Assessment, Certification fee included with this price

Are you someone who is passionate about helping others achieve their goals and live their best life? Do you want to turn your passion into a rewarding career? Look no further! Our Life Coaching and Counselling course is designed to equip you with the knowledge and skills needed to become a certified life coach, holistic health coach and wellness coach. This Advanced Diploma in Life Coaching and Counselling at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 180 CPD points) to make your skill development & career progression more accessible than ever! In Part 1, you will learn the fundamentals of coaching, understand personalities, and explore coaching models such as the GROW model. You will also learn how to structure coaching sessions, build relationships with clients, and employ advanced coaching strategies. In Part 2, you will gain expertise in diet and nutrition coaching, exercise coaching, hormone health, and supplements. Finally, in Part 3, you will explore stress management, sleep, and emotional self-care. By completing this Life Coaching and Counselling course, you will develop a comprehensive understanding of coaching and counselling, which can lead to fulfilling careers in a variety of fields such as healthcare, education, personal development and more. Whether you are starting a new career or want to enhance your current profession, this Life Coaching and Counselling course can provide you with the knowledge and skills to become a successful coach. Your will learn from This Life Coaching and Counselling course: Understand the fundamentals of coaching and counselling Learn effective coaching models such as the GROW model Develop the skills to build strong relationships with clients Gain expertise in nutrition coaching and exercise coaching Explore stress management techniques and emotional self-care Learn how to structure coaching sessions and employ advanced coaching strategies Why Prefer This Life Coaching and Counselling at QLS Level 7 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 Life Coaching and Counselling at QLS Level 7 course: Introduction PART 1: LIFE COACHING CERTIFICATION Coaching Fundamentals Understanding Personalities Coaching Models Explained Why We Will Use The GROW Model Coaching Step 2: Reality Coaching Step 3: Options & Obstacles Coaching Step 4: Will & Action Planning How To Structure Your Coaching Sessions Client Coach Relationship Advanced Coaching Strategies PART 2: HOLISTIC HEALTH COACHING CERTIFICATION Diet & Nutrition Fundamentals Diet & Nutrition Coaching Exercise Coaching: Cardio Exercise Coaching: Resistance Training Hormone Health Explained Supplements Health & Fitness Motivation Health & Fitness FAQ Answered PART 3: WELLNESS COACHING CERTIFICATION Stress Management Sleep Emotional Self Care 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 Advanced Diploma in Life Coaching and Counselling at QLS Level 7 exams. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Life Coaching and Counselling at QLS Level 7 course is ideal for: Individuals who are passionate about helping others achieve their goals Those who want to turn their passion into a fulfilling career People looking to enhance their current profession or start a new career Requirements No prior background or expertise is required. Career path The Life Coaching and Counselling at QLS Level 7 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams. Like as: Life Coach: £27,000 - £50,000 Health Coach: £18,000 - £40,000 Wellness Coach: £20,000 - £45,000 Fitness Coach: £20,000 - £35,000 Nutrition Coach: £22,000 - £45,000 Counsellor: £20,000 - £50,000 Certificates Advanced Diploma in Life Coaching and Counselling at QLS Level 7 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Advanced Diploma in Life Coaching and Counselling at QLS Level 7, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also 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. CPDQS Accredited Certificate Digital certificate - Included

Parental alienation is a complicated, problematic, specialist area of mental health, family functioning, social policy and law. Child Attachment and Family Trauma Training (CAFTT) is committed to providing modern, professional grade training in attachment & neuropsychology, focusing on improving family functioning, professional practice, outcomes related to child development and family welfare. Attachment-Led Theory & Practice for Parental Alienation Parental alienation disrupts attachments, psycho-developmental prospects, and quality of life for hundreds of thousands of children and families.CAFTT's CPD accredited parental alienation training provides intensive, self-paced learning and multiple-choice assessment to achieve Certification in Attachment-Led Theory and Practice in Parental Alienation.PA1’s intensive and CPD-accredited parental alienation training updates typical approaches with modern attachment, family systems and neuropsychology. Parental alienation’s vulnerabilities, triggers, strategies, behaviours and incremental impacts on children's psychological functioning into adulthood are detailed across 16 lectures spanning 13.5 hours. The course critically and comparatively evaluates relevant law and practice. Evidence-based, trauma-informed and risk-based assessments are provided to assist resolution of cases, with effective professional and court management. Currently, there appears to be little or no other accredited, on demand training. PA1 is aimed at providing an empirically structured, open access route to understanding parental alienation and earning Continued Professional Development accreditation points in this complicated and specialist field.PA1 draws on the best practice and advice of some of the world’s top experts Years of interaction with the UK’s family court system corroborates the established observational literature with an aetiological perspective using updated attachment, neuropsychology and child development approaches.The process of alienation and its stages are explained in detail, alongside how each stage impacts on children and other family members. The incremental results for children and other family members are provided in short, medium and long-term form. The lectures are dual-designed as standalone references for a fully informed presentation on important topics, and to incrementally develop knowledge - not just of parental alienation but the various issues parents and professionals encounter when in the difficult position of facing, or being tasked to assist, where this type of parental manipulation may be ongoing. Parental alienation is one of many types of damaging parental manipulation, and often, the manipulation and persuasion of child professionals.Understanding the processes and results of parental alienation may raise awareness and identification of other types of abuse inflicted on children and concealed by manipulation of victims and professionals. Importantly, PA1 addresses, in detail, the pathogenesis of many mental health disorders arising from family interactions. Each lecture is arranged around addressing parental alienation as a mental health problem for the whole family unit, focusing on processes and outcomes for each family member.The course has more than 13.5 hours of intensive instruction across 16 lectures, making PA1 outstanding value for money. Obtaining the same level of knowledge from other sources would, we suggest, be far more time consuming and expensive. We offer the CPD version which has the same content as this open access version which has short CPD assessments after each lecture to gain Continues Professional Development Points. Please return to our homepage if you would prefer to purchase the CPD version which is  open to parents, families and professionals alike. Anyone committed to improving the mental health of Children & their families can take this fast track course. Parents Grandparents, Aunts, Uncles & Family Family Friends Adults alienated as children Child Social Care Professionals Decision makers Teachers Family Health Workers Counsellors & Therapists All Childcare Workers Lawyers & Judiciary Contact Centres Domestic Violence Professionals Here is what you get: Full course access without restrictions Structured training videos All Downloadable learning PDF & PABs checklist materials Assessments throughout the course 18 CPD Points upon successful completion of the assessments Continued Professional Development Certification

This video course helps you explore a wide range of MongoDB concepts. From the basics, including the installation process, to advanced topics such as database sharding and replication, you'll learn it all with the help of engaging examples and activities.

This course explores the Ofsted definition of what is Effective Teaching, which is vitally important for all childcare practitioners to be aware of in their support of children's learning and development.

The course focuses on the five domains that should be known for the CompTIA PenTest+ PT0-002 exam. Learn to successfully plan and scope a pen test engagement with a client, find vulnerabilities, exploit them to get into a network, then report on those findings to the client with the help of this comprehensive course.

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.

This course aims to provide an overview of the much-touted levels of strategies and prepare the learner to understand the key differences among corporate, business, and functional strategies. The learner will be able to identify the nature and requirements of each level of strategy to implement the resultant understanding into successful business operations. After the successful completion of this lecture, you will understand the following. Organisational structure and culture. Culturally led theoretical models, such as Hofstede's Cultural Dimensions, Edgar Schein's Cultural Model, and Charles Handy's Four Types Of Culture. Culture of an organisation. Interrelationships between human resource activities and culture.   This course is fundamentally about understanding corporate, business and operational level strategies. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding The Relationship Between Corporate, Business & Operational Strategies Self-paced pre-recorded learning content on this topic. QUIZ: Understanding The Relationship Between Corporate, Business, And Operational Strategies Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and gets updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Strategy Specialist Human Resource Manager Training Manager Talent Manager People Development Specialist Learning and Development Manager Average Completion Time 2 Weeks Accreditation 2 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

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.