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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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The Poppy and Jack Hypnobirthing course is a complete birth preparation programme that helps expectant parents to release anxiety and enjoy a positive mindset for a better birth experience. Antenatal education, breathing, visualisation and guided relaxation techniques for pregnancy, birth and beyond.

Introducing the ultimate knowledge powerhouse for aspiring surveying professionals - the Surveying (Building, Land and Development) QLS Endorsed bundle! Unlock the doors to a thriving career in surveying with this comprehensive collection of eight meticulously curated courses. Whether you're a seasoned practitioner or just starting your journey, this bundle is your passport to success. Within this bundle, you'll find three QLS-endorsed courses that carry the weight of professional recognition. These courses have been rigorously evaluated and approved by the prestigious QLS, ensuring the highest standards of quality and excellence. And that's not all - upon completion of these endorsed courses, you'll receive exclusive hardcopy certificates, a tangible symbol of your mastery in building quantity surveying, land surveying, and property development. Let your achievements speak volumes as you proudly display these certificates, highlighting your commitment to excellence. But we didn't stop there. We understand the need for continuous professional development, which is why we've included five CPD QS-accredited courses in this bundle. Expand your expertise with topics like construction estimation using RSMeans, LEED V4 - Building Design and Construction, WELL Building Standard, Construction Industry Scheme (CIS), and Bricklaying and Construction. These courses, meticulously designed to enhance your knowledge and sharpen your skills, are the perfect stepping stones to staying ahead of the curve in the dynamic world of surveying. We believe in the power of knowledge and its transformative potential. That's why our focus is on delivering comprehensive theoretical content that empowers you with a deep understanding of surveying principles. You won't find promises of "industry experts" or "practical skills" here. Instead, you'll embark on a journey of intellectual exploration guided by meticulously crafted course materials and thought-provoking insights. Immerse yourself in the world of surveying, and unlock limitless possibilities for career growth. Don't miss this extraordinary opportunity to fuel your passion for surveying and propel your career to new heights. Enrol in the Surveying (Building, Land and Development) QLS Endorsed bundle today, and become a force to be reckoned with in the surveying industry. Your success story starts here. Key Features of the Surveying (Building, Land and Development) QLS Endorsed Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Surveying (Building, Land and Development) QLS Endorsed bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Building Quantity Surveyor QLS Course 02: Land Surveying QLS Course 03: Property Development Diploma 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: Construction Estimation using RSMeans Course 02: LEED V4 - Building Design and Construction Course 03: WELL Building Standard Course 04: Construction Industry Scheme (CIS) Course 05: Bricklaying and Construction 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 Surveying (Building, Land and Development) QLS Endorsed courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Develop a comprehensive understanding of building quantity surveying, land surveying, and property development principles. Acquire in-depth knowledge of construction estimation techniques using RSMeans. Gain proficiency in implementing LEED V4 - Building Design and Construction standards. Familiarize yourself with the WELL Building Standard and its application in sustainable construction practices. Understand the intricacies of the Construction Industry Scheme (CIS) and its impact on project management. Master the techniques of bricklaying and construction, enhancing your practical knowledge. Cultivate a strong foundation in surveying methodologies, enabling you to excel in your surveying career. Discover a world of limitless possibilities with the Surveying (Building, Land and Development) QLS Endorsed bundle. This comprehensive collection of eight courses provides aspiring surveying professionals with the essential knowledge and expertise needed to thrive in this dynamic field. With three QLS-endorsed courses, you'll receive hardcopy certificates, cementing your credibility and opening doors to exciting opportunities. Additionally, five CPD QS accredited courses will broaden your horizons, equipping you with the latest industry insights. Immerse yourself in theoretical exploration and embark on a transformative journey, laying the foundation for a successful career in surveying. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Surveying professionals seeking to enhance their knowledge and expertise. Individuals aspiring to pursue a career in building quantity surveying, land surveying, or property development. Construction industry personnel interested in expanding their skill set. Professionals looking to stay abreast of industry trends and best practices. Career path Building Quantity Surveyor: £30,000 to £60,000 per year. Land Surveyor: £25,000 to £50,000 per year. Property Developer: £35,000 to £80,000 per year. Construction Estimator: £25,000 to £50,000 per year. LEED Specialist: £35,000 to £65,000 per year. Construction Project Manager: £40,000 to £80,000 per year. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Highlights of the Course Course Type: Self-Paced Online Learning Accreditation: AQA Qualification: Nationally Recognised Qualification Study Materials: High-Quality E-Learning Study Materials Certificate: Certificate upon passing the official exam Access:1 Year Access Tutor Support: Paid Tutor Support Customer Support: 24/7 live chat available What you will learn from this course? Upon successful completion of this GCSE Biology Course, you will be able to: Improve your overall cognitive and scientific understanding of biology Contribute to scientific concerns about your environment by learning about biology's principles, processes, and applications through a variety of scientific research Possess the ability to learn and use observational, practical, modelling, research, and problem-solving abilities across a range of educational settings, including the classroom, the field, and other learning environments. Improve your ability to evaluate biological claims by critically analyzing the methodology, supporting information, and quantitative and qualitative findings GCSE Biology Online Course | Higher Tier This GCSE Biology Course is approved by AQA and governed by Ofqual, making it a nationally recognised credential that will boost your CV and set you apart from the competition. This course aims to provide you with extensive skills and knowledge about advanced biology principles and areas such as cell biology, ecology, bioenergetics, etc. Towards the end of this course, you will acquire the required expertise to ace your official GCSE Biology exam and build a successful career in this field. Who is this Course for? The following individuals may benefit from this GCSE Biology Course: University applicants Students who require a grade within grades 4-5 Anyone who requires a higher grade Anyone interested to build a career in STEM Anyone planning to take biology at in A-level Anyone trying to increase their chances of landing a job Anyone who desires to develop their biology knowledge Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Eligibility Requirements This GCSE Biology Course has no academic prerequisites and is open to students from all academic disciplines. Career Path This GCSE Biology Course will provide you with a fresh opportunity to enter the relevant job market and successfully escalate to advanced vocational study. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Assessment Procedure Students must complete a variety of interactive online examinations at the conclusion of each module to evaluate the understanding and skills they are learning in this GCSE Biology Course. These assessments also determine if students can demonstrate these skills effectively. At the end of the module, you can also keep track of your progress and regularly check your score.  Upon successfully completing this course, you can schedule your official exam by contacting us at [email protected]. About Official Exam There are two paper-based and practical tests in the AQA-accredited GCSE Biology Higher Tier. Assessment Format of Paper 1 Concepts covered: cell biology, organisation, infection and response, and bioenergetics Exam time: 1 Hour 45 minutes written exam Total marks: 100 Total weight: 50% of GCSE Question format: multiple choice, structured, closed short answer and open response Assessment Format of Paper 2 Concepts covered: homeostasis and response, inheritance, variation and evolution; and ecology Exam time: 1 Hour 45 minutes written exam Total marks: 100 Total weight: 50% of GCSE Question format: multiple choice, structured, closed short answer and open response Assessment Format of Practical Assessment  In the written exam questions, instructors will assess students' knowledge and comprehension of the material they have covered in the course through a range of practical activities and demonstrations. These questions will account for at least 15% of the total score for the qualifying. Additionally, the majority of these questions will focus on how well students can conduct independent research and apply their knowledge to real-world situations. This GCSE Biology Course is accredited by AQA and regulated by Ofqual. What is AQA? AQA, a well-known awarding body, sets standards, administers exams at the GCSE, AS, and A Level in a variety of areas, and grants qualifications to peruse a desired career. More than half of the GCSE and A-level exams that are taken and graded in the UK each year are administered by AQA. Additionally, employers and institutions all across the world highly respect these credentials. Benefits of AQA This qualification is recognised in the UK and across the world It is valued by employers all over the world Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market What is Ofqual? Qualifications, exams, and assessments are governed in England by Ofqual (The Office of Qualifications and Examinations Regulation). They are in charge of identifying the knowledge, skills, and understanding that students have displayed, and also ensuring that all the assessments and exams reveal what a student has accomplished. Benefits of Ofqual Regulation This regulation is valued internationally Created in accordance with specific national standards Designed in collaboration with industry to guarantee their suitability. Accurately reflect the knowledge, abilities, and understanding that the learners have shown. Candidates who have obtained a qualification that is governed by Ofqual are seen with greater confidence by employers. Course Curriculum Module 1: Cell Biology 1.1 Cell Biology 00:26:00 1.1 Cell Biology. 00:02:00 1.2 Cell Division 00:07:00 1.2 Cell Division. 00:00:00 4.1.3 Transport in Cells 00:16:00 4.1.3 Transport in Cells. 00:00:00 Cell Biology Mini-Quiz (HT) 1 Cell Biology Mini-Quiz (HT) 00:00:00 Module 2: Organisation 2.1 Principles of Organisation 00:34:00 2.1 Principles of Organisation. 00:00:00 2.2 Plant tissues, Organs and Systems 00:06:00 2.2 Plant tissues, Organs and Systems. 00:00:00 Organisation Mini-Quiz (HT) (1) 2 Organisation Mini-Quiz (HT) (1) 00:00:00 Module 3: Infection and Response 3.1 Communicable Diseases 00:20:00 3.2 Monoclonal Antibodies (HT only) 00:04:00 3.3 Plant Diseases 00:04:00 Infection and response Mini quiz (HT) 3 Infection and response Mini quiz (HT) 00:00:00 Module 4: Bioenergetics 4.1 Photosynthesis 00:12:00 4.1 Photosynthesis. 00:00:00 4.2 Respiration 00:08:00 Bioenergetics Mini-Quiz (HT) 4 Bioenergetics Mini-Quiz (HT) 00:00:00 Module 5: Homeostasis and Response 5.1 Homeostasis and Human Nervous System 00:27:00 5.1 Homeostasis and Human Nervous System. 00:00:00 5.2 Hormonal Coordination in Humans 00:35:00 5.2 Hormonal coordination in humans. 00:00:00 5.3 Plant Hormones 00:07:00 5.3 Plant hormones. 00:00:00 Homeostasis Response Mini Quiz (HT) 5 Homeostasis Response Mini Quiz (HT) 00:00:00 Module 6: Inheritance, Variation and Evolution 6.1 Reproduction 00:26:00 6.1 Reproduction. 00:00:00 6.2 Variation and Evolution 00:18:00 6.2 Variation and evolution. 00:00:00 6.3 The Development of Understanding of Genetics and Evolution 00:19:00 6.3 The development of understanding of genetics and evolution. 00:00:00 6.4 Classification of Living Organisms 00:03:00 Inheritance Variation Mini-Quiz (HT) 6 Inheritance Variation Mini-Quiz (HT) 00:00:00 Module 7: Ecology 7.1 Adaptations, Interdependence and Competition 00:07:00 7.1 Adaptations, interdependence and competition. 00:00:00 7.2 Organisation of an Ecosystem 00:14:00 7.2 Organisation of an ecosystem. 00:00:00 7.3 Biodiversity and the Effect of Human Interaction on Ecosystems 00:15:00 7.3 Biodiversity and the effect of human interaction on ecosystems. 00:00:00 7.4 Trophic Levels in an Ecosystem 00:05:00 7.4 Trophic levels in an ecosystem. 00:00:00 7.5 Food Production 00:10:00 7.5 Food production. 00:00:00 Ecology Mini-Quiz (HT) 7 Ecology Mini-Quiz (HT) 00:00:00 Feedback Feedback 00:00:00

AutoCAD-Mac Introduction to Advanced Training Course This project-based course is tailored for AutoCAD Mac users, architecture and interior design students and professionals. Click here for more info: Website When Can I Book This Training Course? Personalized experience with 1-on-1 sessions designed to fit your unique needs. Available from Monday to Saturday, 9 am to 7 am Or Call to Book 02077202581. Duration of Training: 16 hours. Training Method:  1-on-1, providing the option for in-person sessions or live online training. Course Content Section 1: Introduction Course Overview Section 2: Basic Concepts Status Bar and The Units Drawing Commands Control Points - Vertex or Verteces Modifying Commands Snap Settings Drawing An Outline Section 3: Dimensions and Customization Adding Dimensions and Dimension Style Manager Importing Dimension Styles Customizing Shortcuts Section 4: Advanced Techniques Adding Walls Thickness with Offset Command Adding interior layout Cleaning Layout lines with Trim Section 5: Text and Styling Text Editing and Importing Text Styles Main File Formats in AutoCAD Section 6: Design Elements Creating Openings in the Floor Plan Adding Openings - Part 2 Adding Openings - Part 3 Drawing Doors & Windows Using Line Types & Linetype Scale Group and Ungroup Commands Using Blocks Using Blocks Library & Dynamic Blocks Section 7: Layers and Furnishing Layers - Part 2 Layers - Part 3 Furnishing Bedrooms & Bathrooms - Part 1 Adding Furniture, Fixtures, and Equipments | part 2 Adding Furniture, Fixtures, and Equipments | part 3 Drawing the Kitchen Drawing the Living Room Drawing Dining Room & Adding Casework Adding Steps and Railings Using Stretch Command Finishing Steps and patio areas Hatch command Hatch Customization Adding Plants & Finishing Floor Plan Section 8: Layout and Printing Paper Space & Page Setup Manager Working with Viewport & Using Print Command Scale & Using Multiple Viewports Locking Viewport Scale Drawing A Titleblock - Part 1 Drawing A Titleblock - Part 2 Copying the Titleblock Using Titleblock with Attributes Section 9: Roof Plan and Organization Drawing The Roof Plan Placing Roof Plan on Sheet Organizing Project Drawings & Using Layer Freeze AutoCAD Crashing And What To Do Section 10: Elevations Exterior elevations - Drawing the Outline Exterior elevations - Drawing the Openings Elevations - Detailing - Part 1 Elevations - Detailing - Part 2 Elevations - Repeating the workflow Elevations - Finishing 3rd Elevation Elevations - Drawing the final elevation Section 11: Sections Sections: Drawing Cut Lines & the Outline Sections: Placing 1st Section on Sheet Sections: Drawing Section #2 - Different Technique Sections: Adding Final Detail Section 12: Interior Elevations Interior Elevations: Drawing the Outline Interior Elevations: Placing on Sheet Interior Elevations: Using Block Clip Interior Elevations: Final Drawing Section 13: Conclusion Putting the Final Set Together Proficient AutoCAD Skills: Master essential tools for efficient drawing creation and manipulation. Accurate 2D Designs: Create precise and high-quality layouts with attention to detail. Effective Object Handling: Excel in selecting, moving, copying, and scaling objects. File Management: Organize drawings efficiently and understand different file formats. Precise Measurements: Utilize inquiry commands for accurate design analysis. Annotations and Hatching: Apply text, dimensions, and hatching to enhance drawings. Object Organization: Manage layers and object properties for organized designs. Reusable Content: Efficiently use blocks, tool palettes, and groups for productivity. Layout Optimization: Create layouts with viewports for optimal design presentation. Professional Output: Generate professional plots and PDF output for polished results. Enhanced Productivity: Explore AutoCAD toolsets and web/mobile apps for streamlined workflow. Course Overview: Learn versatile AutoCAD for Mac drawing techniques, applicable across all industries, enabling you to excel in the application. Our trainers incorporate exercises from various disciplines. Who Should Attend: Ideal for newcomers to AutoCAD for Mac, self-taught users seeking correct techniques, and those transitioning from other CAD tools. Requirements: A solid Mac OS understanding is essential, while prior CAD knowledge is not required. Pre-course preparation guidance is provided for new AutoCAD users. Highlights: Perfect for AutoCAD for Mac beginners. Gain skills for precise 2D layouts and designs. Versatile drawing techniques for all industries. Choose between in-class or live online training. Autodesk Certified Tutors: AutoCAD 1-2-1 courses. Hands-on learning with expert trainers. Lifetime post-course email support. Tailored on-request training available. Certificate: Digital certificate included. Tailored Mac Training: Excel in AutoCAD with specialized Mac training, leveraging its distinct features and interface for heightened efficiency. Comprehensive Skill Enhancement: Advance from fundamental to intermediate AutoCAD Mac proficiency, creating precise and professional 2D drawings. Industry-Relevant Expertise: Attain in-demand skills valued by employers in architecture, engineering, and design sectors. Hands-On Project Exposure: Immerse yourself in practical exercises mirroring real-world design scenarios, fostering practical competence. Lesson Recordings for Review: Access recorded lessons for reinforcement and deeper AutoCAD Mac comprehension. Ongoing Email Support: Benefit from lifetime email support, ensuring assistance beyond course completion."

Hydra-Dermabrasion Facial is designed for the experienced beauty facial specialist who wants to as a new treatment to their menu; you will need to have completed a Facial diploma or equivalent first for all the underpinning knowledge and experience needed for advanced facial treatments. Want to step into the next era of skin rejuvenation? Hydradermabrasion is a refreshing, exfoliating and hydrating facial suitable for all skin types and ages.  Remove blocked pores, resurface the skin, and brighten and plump with long term scientific evidence to support the regeneration of the epidermal barrier and an increase in collagen production.  Clients love this new alternative to microdermabrasion which is non-invasive, gentle yet effective. Course prerequisites No previous experience is necessary. However, we would recommend facial and skin training course for students new to the industry. Good command of English Minimum 18 years Course structure This course structure consists of online independent study, vertical lectures and an in house practical session. All courses are intimate with four learners in class 2-1 ratio. Areas covered within the course: Bespoke First Aid for the Beauty Sector Health, Safety and Hygiene for the Beauty Sector Anatomy and Physiology What are Hydra-Dermabrasion Facials? Benefits of Hydra-Dermabrasion Facials Facial Products and Equipment Full consultation process Treatment Set-Up Client Consultation Process and Procedure Hydra-Dermabrasion Facial Step by Step Procedure Hydra-Dermabrasion Facial Demonstration Aftercare The technology you will learn: Hydro peel skin cleansing Radiofrequency skin tightening Ultrasound Ion face lifting Transdermal infusion Frequently Asked Questions How can I book? We have a few options for you to book. You can book by selecting an available training date above here on our website, by contacting us through email at hello@cosmetic.college or by contacting us on 0333 015 5117. Where is the Cosmetic College The Cosmetic College is located at: 3 Locks Court, 429 Crofton Road, Orpington, BR6 8NL Is a deposit required to book? All enrolments are charged an administration fee which is non-refundable. When you enrol you can elect to pay a deposit of 10% plus the administration fee or pay the total training course in full. We have full details of the terms and conditions of training course enrolments here What is the course duration? 1 day + pre-study via our online learning platform. What qualifications do I need to be able to enrol on this course? No prior qualifications or experience is required for you to enrol onto this course, however for those new to the industry we recommend to enrol onto our Facial & Skincare course to maximise their potential with this course.

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.