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

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Agile techniques and management frameworks are changing the way organisations operate. Evolving to realise that organisations are no longer static and structured entities is the key to unlocking new ways to achieve better results. Agile can be utilised at an organisation, team, and project level. Transforming to an Agile way of working requires knowledge, commitment, and frameworks to lead change. The Applying Professional Scrum training teaches key implementation techniques and Scrum frameworks. Course Description Applying Professional Scrum Training ONLINE Getting results with the Scrum framework Scrum is the most used Agile framework for complex product development and project management. It is a proven system, in use for over 25 years by companies large and small. Scrum training introduces an iterative and incremental approach to product or project development – aiming to reduce complexity and achieve results faster. A Scrum team works simultaneously rather than sequentially, with more flexibility. Scrum teams learn to work better together, delivering more value for project stakeholders. Applying professional scrum training The Applying professional Scrum (APS) course introduces the Scrum framework and demonstrates its power over traditional approaches to project or product development. It is an interactive course that aims to familiarise participants with its iterative and 'Sprint' based methodology. The Scrum framework is commonly used in software development but is relevant in any industry or to any complex project. Course contents and key objectives The course will teach participants how to apply Professional Scrum and the Scrum framework. It is appropriate for anyone, whether or not they have previous exposure to Scrum. Contents of the two-day course include: Understanding more about Agile development and the value that an Agile mindset can bring. Explain how Scrum differs from traditional work models and the advantages this offers. Explain the details of the Scrum methodology and its practical application. Understand how to apply Scrum to projects and teamwork. This includes the concepts of the Scrum team, Sprints, Sprint reviews, and the Daily Scrum. Course attendees will work in Scrum teams to simulate a Scrum project. This will involve a series of 'sprints' to solve complex problems and demonstrate the Scrum approach's power. Such Sprints are key to the Scrum framework. They bring in the iterative way of working, giving teams the chance to review success and quickly adapt to meet business requirements. As part of this practical approach, participants will learn to recognize and understand common missteps and misunderstandings when using Scrum. Expected Outcomes from Applying professional scrum training Applying professional scrum training will teach attendees what Scrum is, the value it can deliver, and how to implement it. The practical and example-based nature of the course will help develop a thorough understanding of the Scrum framework. Experience is the key to implementing it in practice. As such, the course is designed to mimic this and teach the problems to look out for and their solution. Participants will emerge as proficient Scrum practitioners – ready to transform the development of their projects. Who Should Attend This Course? Scrum is beneficial for any company, or individual, with complex projects or products. This course provides an introduction and solid grounding in Scrum, enabling participants to work effectively within the Scrum team and to go on to further training if desired. It is ideal for anyone: Working in or joining a team that uses Scrum. Considering the use of Scrum or investigating its benefits. Working alongside or managing Scrum teams – even if not using the methodology directly. Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials

***With this Level 3 Coaching & Mentoring Course for Teachers, get a Personal Hygiene Course completely FREE and prevent yourself from being infected by Coronavirus and other contagious diseases.*** Level 3 Coaching & Mentoring Course for Teachers 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 Level 3 Coaching & Mentoring Course for Teachers 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 4 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 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 Numeracy and IT Desire for entrepreneurship Over the age of 16. Assessment The assessment is straightforward, you need to complete the assignment questions that will be provided to you at the end of the course, you can complete the assignment anytime you want. After you complete and submit your assignment, our tutors will assess your assignment and give you feedback if needed.  After your assignment has been assessed and you have passed, you will be qualified and will be able to apply for a course completion certificate. 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. Module 1: Introduction to Coaching and Mentoring Introduction to Coaching and Mentoring 00:22:00 Module 2: Coaching and Mentoring: Objectives & Processes Coaching and Mentoring: Objectives & Processes 00:27:00 Module 3: Ethical Aspects of Coaching and Mentoring Ethical Aspects of Coaching and Mentoring 00:31:00 Module 4: Coaching and Mentoring Models Coaching and Mentoring Models 01:01:00 Module 5: Effective Communication Skills Effective Communication Skills 00:21:00 Module 6: Personal Skills Personal Skills 00:21:00 Module 7: Management Skills Management Skills 00:20:00 Module 8: Functional Skills Functional Skills 00:26:00

LOOKING FOR: ADULT FICTION, NON-FICTION Donald Winchester began his publishing career at Penguin Press – working on a variety of non-fiction titles – before moving to A P Watt, then the world’s oldest literary agency. There he worked for five years with a number of acclaimed and prize-winning authors and began building a list of fiction and non-fiction for adults. He joined Watson, Little as an agent in 2013. Donald is building his list and is interested in literary fiction and well-written commercial fiction, particularly debut authors, as well as memoir. He is particularly interested in literary fiction which maintains a high level of prose, pushes boundaries of style, while retaining emotional heart and a sense of plot. He’s also looking for upmarket fiction which builds a fully-formed plot with a satisfying emotional arc, whether that be historical or contemporary – and the mixing of tropes from genre fiction (crime, sci-fi, romance, etc) also interest him. In non-fiction, he is keen to see writing on history, popular science, social issues, nature, music, sport, film and technology. In all these areas he’s looking for experts in their fields who can convey their expertise and enthusiasm to a wide audience in an appealing way. Donald would like you to submit a covering letter, 1 - 2 page synopsis and the first three chapters of your manuscript in a single word document.  (In addition to the paid sessions, Donald is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Wednesday 22 January 2025

ONLINE LEVEL 3 AET TEACHER TRAINER COURSE What is the course about? The course has been designed to provide an introduction to teaching: For individuals who are not in a teaching/training role, or who have just started a teaching/training role For individuals who work, or want to work as teachers/trainers in their beauty training academy For individuals who want a short qualification to enable them to make career choices For individuals currently teaching and training, including those new to the profession For individuals who have completed some introduction to training qualifications What will I learn? Understand your roles, responsibilities and boundaries about teaching/training Understand appropriate teaching and learning approaches within a specialist area Demonstrate session planning skills – plan deliver, observe and evaluate a micro-teach session Understand how to deliver inclusive sessions that motivate learners Understand the use of different assessment methods Understand and analyse the need for accurate record-keeping and procedures including internal and external verification Prerequisites You must be a minimum of 19 years old Good reading & writing skills in English A lot of patience. We must advise there is a lot of reading Knowledge of the subject you wish to teach and deliver Does this Level 3 Teacher Training Course offer me a qualification? This level 3 teacher training course is an accredited course and not a full OFQUAL. This Level 3 course will still allow you to teach students if you wish to set up your academy. How do Online Courses work? http://www.kbhtrainingacademy.com/online-courses Duration of Course? You will have 6 months to complete the course before it expires How will I be assessed? You will have to complete theory assignments You will have to provide a 15-30 minute, micro-teaching video

With this mandatory Autism program for teachers, gain a better understanding of autism and help those who need special educational assistance. Earn a CPD accredited qualification and become a more effective teacher in giving students a meaningful life. This comprehensive expert-designed course can help you to build a solid foundation and understand core concepts of Autism. You will find a rigorous framework; a step-by-step learning process that ensures your mastery in assisting students with special needs. This course is designed to include everything one may want to gain a clear understanding of autism. If you are looking to enrich your teaching skills so that you can get access to more students with autism, then this course is exactly for you. This comprehensive course will certainly meet your essential needs to become a more proficient teacher to the students with special needs. Get prepared for a rewarding career in teaching.  Get trained with this CPD accredited course that offers a certificate of completion as proof of your expertise in this field, and you can show your certificate in your Linkedin profile and your resume to impress employers and improve your teaching skills. This course will be a stepping stone to your career success equipping you with the in-depth understanding of Autism.

Overview Positive Attachments for Children Course 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 Positive Attachments for Children Course 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 05 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 After you have successfully completed your assignment, you will be qualified to apply for a CPD Certification from The Teachers Training. The PDF certificate can be downloaded after you have completed your course. You can get your digital certificate (PDF) for £3.99 only Hard copy certificates are also available, and you can get one for only £8.99 The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Attachment Theories, Importance and Disorders Attachment Theories, Importance and Disorders 00:18:00 Module 02: Evidence-based Practice for Supporting Positive Attachments Evidence-based Practice for Supporting Positive Attachments 00:14:00 Module 03: Barriers, Challenges and Support in Forming Positive Attachments Barriers, Challenges and Support in Forming Positive Attachments 00:10:00 Module 04: Social Care Ethics and Values Social Care Ethics and Values 00:16:00 Module 05: Attachment Frameworks and Strategies Attachment Frameworks and Strategies 00:14:00 Module 06: Features, Skills and Role of Parents Features, Skills and Role of Parents 00:13:00 Module 07: Professional Boundaries and Building Positive Relationships Professional Boundaries and Building Positive Relationships 00:13:00

LOOKING FOR: ADULT FICTION, YA THRILLER Saskia Leach is an Agent's Assistant at Kate Nash Literary Agency and is currently training to become a Junior Agent. She graduated from Royal Holloway, University of London in 2020 with a BA degree in English and History, before joining Kate Nash Literary Agency in 2021. Saskia loves commercial fiction that features complex and dynamic characters and is fascinated by stories containing document inserts or written from multiple perspectives. Saskia enjoys commercial and book club fiction and is particularly looking for cosy crime from any period (whether contemporary like Janice Hallett and Richard Osman, traditional Golden Age murder mystery or historical), WW2 historical fiction in the vein of Heather Morris or Markus Zusak, twisty psychological thriller with a unique hook, LGBTQ+ romance, underrepresented voices and perspectives, YA thriller or romance, and locked-room thriller. Saskia would like you to submit a covering letter, 1 page synopsis and the first 2,500 words of your manuscript in a single word document. (In addition to the paid sessions, Saskia is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice given in your Agent121. The submission deadline is: Tuesday 21 January 2025