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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.

Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.

Enhance your expertise with our comprehensive bundle of 8 courses: Airport Management, Import/Export & Cross-Cultural Awareness. This power-packed collection offers a unique blend of theoretical knowledge and practical insights, ensuring you acquire the skills necessary to excel in today's dynamic business world. What sets this bundle apart is the inclusion of 3 QLS-endorsed courses, providing you with tangible hardcopy certificates to showcase your achievements. Additionally, we offer 5 CPD QS accredited courses that are highly relevant and designed to bolster your professional capabilities. Immerse yourself in the fascinating realm of Airport Management, where you'll delve into the intricacies of aviation operations, security protocols, and customer service excellence. Gain an in-depth understanding of Import/Export processes, enabling you to navigate international trade with confidence. Develop cross-cultural awareness, honing your ability to effectively communicate and collaborate across diverse global markets. Key Features of the Airport Management, Import/Export & Cross-Cultural Awareness Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Airport Management, Import/Export & Cross-Cultural Awareness bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Airport Management QLS Course 02: Import/Export QLS Course 03: Cross-Cultural Awareness Training 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: Logistic Management Course 02: Supply Chain Management Course 03: Operations Management Course 04: Transport Manager Course 05: Warehouse Management Diploma In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Airport Management, Import/Export & Cross-Cultural Awareness courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: By completing this bundle, you will: Acquire comprehensive knowledge of airport management principles and practices. Understand the intricacies of import/export procedures and compliance requirements. Develop cross-cultural awareness and communication skills essential for global business. Master logistics and supply chain management strategies to optimize efficiency. Gain expertise in operations management, ensuring streamlined processes. Become a competent transport manager, proficient in logistics coordination. Learn effective warehouse management techniques for optimal inventory control. Discover the ultimate bundle of Airport Management, Import/Export & Cross-Cultural Awareness courses that will elevate your professional standing in the dynamic business landscape. Immerse yourself in a world of aviation, international trade, and cross-cultural communication as you unlock the secrets to success. This comprehensive collection includes 3 QLS-endorsed courses that provide you with prestigious hardcopy certificates, validating your expertise. Additionally, 5 CPD QS accredited courses offer relevant insights and skills necessary to excel in various aspects of business operations. CPD 270 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals seeking to enhance their knowledge and expertise in airport management. Individuals involved in import/export activities or aspiring to pursue a career in international trade. Business professionals engaging in cross-cultural communication and collaboration. Logistics and supply chain practitioners looking to optimize efficiency and streamline operations. Career path Airport Operations Manager: £35,000 - £60,000 per year. Import/Export Specialist: £28,000 - £45,000 per year. International Business Consultant: £40,000 - £70,000 per year. Logistics Manager: £30,000 - £55,000 per year. Supply Chain Analyst: £25,000 - £45,000 per year. Warehouse Operations Supervisor: £22,000 - £40,000 per year. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Unlock Your Financial Potential with Our Comprehensive Online Financial Modelling Training Are you ready to take your financial skills to the next level? Our Online Financial Modelling Training is here to equip you with the knowledge and tools you need to excel in today's competitive business world. With a unique blend of courses that are QLS-endorsed and CPD-QS accredited, you can be confident in the quality and value of the training you will receive. The first course in this bundle is QLS-endorsed, and upon completion, you will receive a QLS hardcopy certificate for free, validating your expertise in financial modelling. This certificate is highly respected in the industry and can open doors to new opportunities. The remaining 10 courses in this bundle are carefully curated to provide you with in-depth knowledge in financial management, reporting, analysis, debt management, investment, commercial law, business analysis, financial investigation, GDPR training, and essentials of UK VAT. Enrol now in our Online Financial Modelling Training and take the first step towards unlocking your financial potential! This Financial Modelling & Fundamental Analysis Bundle Package includes: Course 01: Diploma in Online Financial Modelling at QLS Level 5 10 Premium Additional CPD QS Accredited Courses - Course 01: Financial Management Course 02: Financial Reporting Course 03: Financial Analysis Course Course 04: Essentials of UK VAT Course 05: Debt Management Course 06: Investment Course 07: Commercial Law Course 08: Introduction to Business Analysis Course 09: Financial Investigator Course 10: GDPR Training Why Prefer This Financial Modelling & Fundamental Analysis Bundle? You will receive a completely free certificate from the Quality Licence Scheme Option to purchase 10 additional certificates accredited by CPD Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) Free assessments and immediate success results 24/7 Tutor Support After taking this Financial Modelling & Fundamental Analysis bundle courses, you will be able to learn: Through our Online Financial Modelling Training, you will gain a wealth of valuable skills and knowledge, including: Mastering financial modelling techniques to create accurate financial forecasts and projections. Understanding financial management principles to effectively manage financial resources and optimise performance. Analysing financial statements to interpret financial data and make informed business decisions. Developing expertise in debt management strategies to minimise risk and maximise returns. Acquiring in-depth knowledge of investment strategies and techniques to make informed investment decisions. Gaining a solid understanding of commercial law and its implications for businesses. Learning the essentials of UK VAT and its impact on financial management. ***Curriculum breakdown of Online Financial Modelling Training *** Module 01: Basic Financial Calculations Module 02: Overview of Financial Markets, Financial Assets, and Market Participants Module 03: Financial Statement Modelling Module 04: Types of Financial Models Module 05: Sensitivity Analysis Module 06: Sales and Revenue Model Module 07: Cost of Goods Sold and Inventory Model Module 08: Valuation Methods How is the Financial Modelling & Fundamental AnalysisBundle 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 successfully pass the exams. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Online Financial Modelling Training is designed for professionals who are looking to enhance their financial skills and advance their careers. This course is ideal for: Finance professionals seeking to deepen their knowledge and expertise in financial modeling and analysis. Business owners and entrepreneurs who want to gain a solid understanding of financial management principles to make informed business decisions. Individuals aspiring to pursue a career in finance, investment, or business analysis. Career path Financial Analyst: Average salary of £45,000 per year Financial Manager: Average salary of £50,000 per year Investment Analyst: Average salary of £40,000 per year Business Analyst: Average salary of £45,000 per year VAT Specialist: Average salary of £35,000 per year Financial Investigator: Average salary of £50,000 per year Compliance Officer: Average salary of £40,000 per year Certificates CPD QS Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Online Financial Modelling at QLS Level 5 Hard copy certificate - Included

Project Management Practitioner Program - Project Communications Management: On-Demand According to Dr. Kerzner, up to 90 percent of a project manager's time will be spent in some type of formal or informal communications, such as providing direction, attending to meetings, or public relations among many others, therefore communication plays a key role in our lives. This individual module shows how the Project Communications Management includes the processes required to ensure timely and appropriate planning, collection, creation, distribution, storage, retrieval, management , control, monitoring, and the ultimate disposition of project information, as described by PMBOK® Guide - Sixth Edition. What You Will Learn At the end of this program, you will be able to: Discuss key elements of a communications management plan Identify the tools and techniques used for information management Explain and utilize common formats for performance reporting Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications

Project Management Practitioner Program - Project Communications Management: On-Demand According to Dr. Kerzner, up to 90 percent of a project manager's time will be spent in some type of formal or informal communications, such as providing direction, attending to meetings, or public relations among many others, therefore communication plays a key role in our lives. This individual module shows how the Project Communications Management includes the processes required to ensure timely and appropriate planning, collection, creation, distribution, storage, retrieval, management , control, monitoring, and the ultimate disposition of project information, as described by PMBOK® Guide - Sixth Edition. What You Will Learn At the end of this program, you will be able to: Discuss key elements of a communications management plan Identify the tools and techniques used for information management Explain and utilize common formats for performance reporting Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Advanced Parenting Skills Training! In the United Kingdom, a surprising 68% of parents believe they lack critical parenting skills, highlighting a nationwide need for guidance. Our Parenting Skills QLS Endorsed Bundle promises to bridge this gap, offering a comprehensive journey through the complexities and joys of modern parenting. Spanning ten insightful modules, the Parenting Skills course begins with an exploration of advanced parenting techniques, delving into essential skills and tools needed for effective child-rearing. It progresses to cover strategies for fostering healthy parent-child relationships and concludes by empowering parents to nurture leadership qualities in their children. This course is not just about child development; it's a transformative experience for parents aiming to elevate their parenting approach. With a single payment, you will gain access to the Advanced Parenting Skills course, including 10 premium courses, a Hardcopy certificate (for the title course) and 11 PDF certificates for Absolutely free. This Bundle Contains 11 of Our Premium Courses for One Discounted Price: Course 01: Advanced Parenting Skills Course 02: Early Years Primary Teaching Course 03: Family Law Course 04: Paediatric First Aid (Emergency Care) Course 05: Safeguarding Children Level 3 Course 06: Maternity Care Assistant Course Course 07: Communication Skills Masterclass Course 08: Domestic Violence and Abuse Awareness Diploma Course 09: Child Counselling and Youth Course 10: Couples Therapy & Counselling Course 11: Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course Learning Outcomes of Advanced Parenting Skills Bundle: By the end of this bundle, learners will be able to: Acquire a profound understanding of advanced parenting techniques and child psychology. Learn about the intricacies of Family Law and safeguarding children. Gain competence in paediatric first aid and emergency care. Understand the role and responsibilities of a maternity care assistant. Become adept in recognising signs of domestic violence and addressing abuse effectively. Hone your communication skills to foster better relationships within your family. Learn the basics of cognitive behavioural therapy, child counselling, and couples therapy. Why Choose Our Advanced Parenting Skills Course: Get instant access to this Parenting Skills course. Learn Parenting Skills from anywhere in the world Parenting Skills is simple to understand Parenting Skills course is entirely online, interactive lesson with voiceover audio Lifetime access to the Parenting Skills course materials This Bundlecomes with 24/7 tutor support Start your learning journey straightaway with our Advanced Parenting Skills Bundle! This Advanced Parenting Skills curriculum has been designed by Parenting Skills experts with years of Parenting experience behind them. The Advanced Parenting Skills course is extremely dynamic and well-paced to help you understand Parenting skills with ease. You'll discover how to master the Advanced Parenting skill while exploring relevant and essential topics. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Parenting Skills bundle is ideal for anyone looking to improve their parenting skills. Requirements You will not need any prior background or expertise to enrol in this bundle. Career path Advanced Parenting Skills Family Counsellor Child Care Worker Maternity Care Assistant Couples Therapist Cognitive Behavioural Therapist Certificates Advanced Parenting Skills - CPD Certified Hard copy certificate - Included CPD Accredited Certificate Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location.

Master the art of professional report writing with this Level 5 Diploma, QLS Endorsed. Develop advanced writing, research, and presentation skills to create impactful reports for any industry. Enroll today!

DIY Bag Kit Leather Rucksack/ Backpack. No specialist tools or experience required. A Leather Bag Kit to Make at Home! This DIY Bag Kit is a step up from the other bags in the range. It is suitable for all, though it is more challenging and takes longer to craft. You will learn the basics of leather craft for accessories and be introduced to techniques including application of wax and edge finishing, screw rivets, hand stitching on leather and bag construction. This is a perfect introductory project to start your journey into Leather work and bag making as you will experience the wide variety of tasks involved in the work and create a bag to be proud of. This is the perfect pack to keep you busy crafting at home when you are looking for a new hobby. In order to complete your bag you will need to follow the step-by-step instructions included in the pack. There will be pre-cut leather pieces which require you to finish with a wax included in the pack. You will rivet and sew the leather to complete the bag. It is great if you have a small screw driver to hand to tighten the rivets. Although the pack is pre-prepared and work has been completed for you, do not fear as there is still plenty of work and learning for you to do. The bag has a flap and buckle closure and two adjustable back straps. It is a raw edge construction to give a rustic look but completed in a buttery soft vegetable tanned leather which results in a supple but structured piece. The bag is unlined but the size ensures the perfect space for all essentials. The dimensions of the backpack/ rucksack are H:250mm x H:350mm x D:150mm and it will be the same construction as the bag in the photos featured. A drawstring top and flap closure with buckle. Straps are adjustable with buckles. There are NO ADDITIONAL COSTS. All leather, hardware and products will be included in the kit. There is a selection of leather and hardware colours for you to choose from but if you require a bespoke colour please get in touch as we may be able to help. What's included in the price? The kit contains: 1. Pre-cut and pre-punched leather pieces ready to use(A variety of leather colours to choose from) 2. A pot of homemade wax and a soft cloth 3. Metal hardware of your choice 4. Needle and thread 5. Unique 'Made by' card6. Instruction booklet7. Video Link to instruction video What you will need You will need: 1. Small flat head screw driver 2. Scissors

The APM Project Management Qualification, a rigorous program cultivating expertise in project management. Learn industry-leading principles, tools, and techniques. Develop skills in planning, execution, and monitoring for successful project delivery. About this course £395.00 468 lessons Course curriculum Course IntroductionTutor IntroductionCourse OverviewCourse ObjectivesAPM Tutor Bot 1. Understand the Situational Context of Projects - Projects, Programmes & PortfoliosIntroductionAssessment CriteriaProject & Project ManagementDefinition of a ProjectProjects vs BAUKey Aspects of Project ManagementProgrammesOrganisational ChangeProgrammes vs ProjectsBenefits of ProgrammesProgramme Managers' ResponsibilitiesUse of Programme ManagementPortfoliosPortfolio ManagementInterdependenciesPortfolio Management Key ProcessesShaping a PortfolioUsing Portfolio ManagementProject, Programme & Portfolio RelationshipsAssessment CriteriaTest Your Knowledge Quiz 2. Understand Project Life Cycles - Project Life Cycles & ReviewsIntroductionAssessment CriteriaLife CycleLinear Life CycleConcept PhaseDefinition PhaseDeployment PhaseTransition PhaseAdoptionBenefits Realisation PhaseOperations Phase"Termination" PhaseBenefits of Life-cycles Part 1 & 2Benefits of Life-cycles Part 2 & 3Iterative Life CycleHybrid Life CycleKnowledge & Information ManagementPremature CloseReviewsDecision GatesAuditsPost Project ReviewBenefits Realisation ReviewAssessment CriteriaTest Your Knowledge Quiz 3. Understand how Organisations & Projects are Structured - Roles & ResponsibilitiesIntroductionAssessment CriteriaBasic Organisation Structure Part 1Basic Organisation Structure Part 2Project Manager ResponsibilitiesSponsorSponsor ResponsibilitiesSponsor AttributesProject Sponsor vs Project ManagerGovernance BoardUsersTeam Managers/MembersProject Office TypesProject Management Office Activities Part 1Project Management Office Activities Part 2Embedded PMOCentral PMOHub-and-Spoke PMOsPMO SummaryAgile TeamsCross Functional Team MembersProduct OwnerTeam Facilitator (Project Manager)Servant LeadershipAssessment CriteriaTest Your Knowledge Quiz 4. Understand Planning for Success - Stakeholder EngagementIntroductionAssessment CriteriaStakeholdersIntroduction to Stakeholder EngagementStakeholder Management - 5 StepsPower/Interest GridAlternative GridStakeholder EngagementStakeholder Engagement Plan - ContentsStakeholder CommunicationAssessment CriteriaTest Your Knowledge Quiz 5. Understand how Organisations & Projects are Structured - Organisation Structures Introduction Assessment Criteria Organisation Organisational Continuum Functional Organisations Functional Features Functional Matrix Organisations Matrix Features Matrix Functional Organisations Project Features Project Advantages Projects Suited to Organisational Types Assessment Criteria Test Your Knowledge Quiz Career Smarter acknowledges that APM owns all intellectual property rights in ‘APM’ and ‘Association for Project Management’ and logos used in connection with APM’s activities. All rights reserved.