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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.

Are you a WordPress user who struggles to make basic styling changes to your website? Do you get frustrated when you try to change the size of your text or maybe the background color of your website? Are you curious about the structural and design code used to produce those pages on your WordPress website? Well, then this course is exactly for you.

Course Overview A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Industry 4.0 - Automation & Applications online course. Industry 4.0 - Automation & Applications covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Industry 4.0 - Automation & Applications.  The Industry 4.0 - Automation & Applications course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Industry 4.0 - Automation & Applications will equip you with the skills required to set yourself up for career success. The Industry 4.0 - Automation & Applications provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Industry 4.0 - Automation & Applications.

Course Overview A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive Introduction to CNC Programming online course. Introduction to CNC Programming covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Introduction to CNC Programming.  The Introduction to CNC Programming course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Introduction to CNC Programming will equip you with the skills required to set yourself up for career success. The Introduction to CNC Programming provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Introduction to CNC Programming.

A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic.   And to help you bridge that gap, Course Cloud has prepared this comprehensive Microsoft Excel 2019 Intermediate Diploma online course. Microsoft Excel 2019 Intermediate Diploma covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in Microsoft Excel 2019 Intermediate Diploma.  The Microsoft Excel 2019 Intermediate Diploma course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in Microsoft Excel 2019 Intermediate Diploma will equip you with the skills required to set yourself up for career success. The Microsoft Excel 2019 Intermediate Diploma provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at Microsoft Excel 2019 Intermediate Diploma.

Clients are the life saver to progress, so any business or association needs solid client relationship the board. This course is appropriate for any industry and is specifically compelling to those organizations whose CRM system needs fortifying. Workers who acquire this accreditation can contribute viably to building solid, dependable client connections, offering excellent assistance and backing that bring about client maintenance and expanded income. This course is appealing, as it conveys a complete comprehension of the subject in only 5 hours. It isn't just available yet in addition a simple manner by which to induce excellent CRM across the business. What's Covered in the Course? As a short course, it is conveyed in 5 modules: 'What is Customer Relationship Management', 'Seeing Customers', 'Estimating Customer Relationship Management', Developing Relationships' and 'How to Run a Customer Meeting'. The key learning focuses are: What is client relationship the board and understanding its significance, when managing clients in a business setting; The fundamentals of non-verbal communication and how it very well may be utilized to profit everybody, while interfacing with clients; Step by step instructions to create and improve relational abilities, when managing clients; Connections and faithfulness and how the two work together, when managing clients; Why client relationship the board is a pivotal angle to the accomplishment of any sort of business; Step by step instructions to discover clients and what they most likely anticipate from the business, with regards to help and administration; Step by step instructions to quantify client relationship the executives, as it identifies with issues and norms inside the business; The most effective method to build up a decent connection with a wide range of clients; Guidance and tips about successful and significant gathering planning, for viable goals and thoughts that advantage both the client and the business. What are the Benefits of the Course? This course will profit any business that desires to improve client maintenance and increment their workers' client relationship the board abilities. Worker accomplishment on the course is straightforward, as the accreditation is just granted after the fruitful finishing of a test; Representatives comprehend the significance of and can work to a CRM structure; It is a short course, with adaptable particular substance, that can be learned at the representative's accommodation, by means of any web empowered gadget.

Description Blockchain Diploma course Most active blockchain applications concentrate on the efficient and low-cost transfer of money and other value types. This involves trading shares, transferring money to a foreign country, and exchanging cryptocurrencies. The dramatic surge in the value of Cryptocurrencies such as Bitcoin and Ather brought worldwide attention. Blockchain technology underpins Bitcoin and Ather, which are hailed as the future of banking and other monetary establishments. After finishing this blockchain diploma course, you will be able to distinguish between fact and fiction about Cryptocurrencies. Using the conceptual underpinnings you've acquired, you'll be well versed in the basics of cryptocurrency. In addition, you will have the expertise to make transactions using Blockchain. Further, you will be able to integrate Bitcoin-related ideas into your projects. Individuals and businesses looking to learn how and where to invest in cryptocurrency are advised to enrol in this blockchain diploma programme. The blockchain diploma course will be a base for your journey in the world of Blockchain and cryptocurrencies. This blockchain diploma course will teach you to recognise a cryptocurrency and the fundamentals of electronic signature and blockchain-based cryptocurrency technology. After this blockchain diploma course, you will have a comprehensive grasp of cryptocurrency's fundamentals, the complexity of Blockchain technology, and a detailed plan for incorporating blockchain technologies into your financial strategies. Currently, blockchains are also incorporated into software security stacks. This points to the fact that Government agencies will need individuals skilled in Blockchain to ensure safety and security in cyberspace. The potential of a world imbued with blockchain technology has captivated the minds of businesspeople, countries, political parties, and humanitarian organisations throughout the globe. Countries like the United Kingdom, India, and the UAE view it as an opportunity to minimise expenses, establish a new financial system, and maintain transparent records. They possess active blockchain-related investments and efforts. With the advent of blockchain technology, the requirement for confidence in a transaction has been eliminated. With blockchain systems, trust is no longer a significant issue as it was previously. Also, the infrastructure that implements the rule in case of a breach of confidence can be reduced. Altogether, Blockchain represents a system designed to overcome many of the issues we face with our current systems and technologies. Being a technology of the future, Blockchain brings an ocean of opportunities to individuals interested in the technology. Here with our Blockchain Diploma course, we invite you to participate in this future of opportunities. What you will learn 1: Introduction to Blockchain 2: Choosing a Blockchain 3: Using Blockchain Technology 4: Bitcoin Blockchain 5: Ethereum Blockchain 6: Hyperledger 7: Microsoft Azure 8: IBM Bluemix 9: Industry Impacts of Blockchain 10: Rules of Blockchain Technology Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

10 QLS Endorsed Courses for Supply Chain Manager | 10 QLS Hard Copy Certificates | Lifetime Access | Tutor Support

Organic Chemistry 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 Organic Chemistry 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 12 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 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. Unit 01: About the Course Introduction 00:02:00 Unit 02: Drawing Organic Molecules How to read bond-line drawings 00:18:00 How to draw bond-line drawings 00:18:00 Identifying formal charges 00:22:00 Finding lone pairs that are not drawn 00:23:00 Unit 03: Resonance What is resonance? 00:05:00 Drawing resonance structures (part 1) 00:40:00 Formal charges in resonance structures 00:19:00 Drawing resonance structures (part 2) 00:25:00 Recognizing patterns 00:30:00 The relative importance of resonance structures 00:19:00 Unit 04: Acid-Base Reactions Introduction to acid - base 00:03:00 Charged atoms 00:08:00 Resonance 00:11:00 Induction 00:09:00 Orbitals 00:03:00 Charged atoms - Resonance - Induction - Orbitals 00:07:00 Showing an acid-base mechanism 00:14:00 Acid-Base equilibrium position 00:06:00 Unit 05: Geometry Orbitals 00:15:00 Goemetry of orbitals 00:15:00 Impact of resonance on geometry 00:01:00 Unit 06: Nomenclature Introduction to nomenclature 00:03:00 Functional group 00:07:00 Unsaturation 00:04:00 Parent 00:09:00 Substituents 00:10:00 'cis' - 'trans' stereoisomerism 00:04:00 'E' - 'Z' stereoisomerism 00:04:00 Localizing substituents in parent chain 00:12:00 From structure to name 00:20:00 Unit 07: Conformations Introduction to conformations 00:02:00 Newman projection 00:10:00 Relative stability of Newman projections 00:08:00 Drawing chair conformations 00:02:00 Drawing substituents in chair conformations 00:12:00 Ring flipping 00:10:00 Comparing stability of chair conformations 00:10:00 Unit 08: Configurations Introduction to configurations 00:01:00 Locating stereocenters 00:04:00 Determining the configuration of a stereocenter 00:18:00 Nomenclature 00:12:00 Enantiomers 00:08:00 Diastereomers 00:05:00 Meso compounds 00:04:00 Fischer projections 00:11:00 Unit 09: Mechanisms Introduction to mechanisms 00:02:00 Nucleophiles and electrophiles 00:09:00 Arrows used for mechanisms 00:14:00 Carbocation 00:15:00 Unit 10: Substitution Reactions SN1 SN2 mechanisms 00:10:00 Factor #1: the electrophile 00:06:00 Factor #2: the nucleophile 00:04:00 Factor #3: the leaving group 00:05:00 Factor #4: the solvent 00:05:00 Combining all 4 factors 00:10:00 Unit 11: Elimination Reactions Introduction to elimination reactions 00:02:00 E1 mechanism 00:08:00 E2 mechanism 00:20:00 Unit 12: Substitution vs Elimination Introduction to substitution vs elimination 00:03:00 Determining the function of the reagent 00:04:00 Identifying the mechanism(s) 00:11:00 Predicting regiochemical and stereochemical outcomes 00:16:00 Unit 13: Addition Reactions Introduction to addition reactions 00:01:00 Regiochemistry 00:05:00 Stereochemistry 00:18:00 Hydrogenation: adding H-H 00:07:00 Hydrohalogenation: adding hydrogen halide, H-X 00:09:00 Hydrobromination : adding H-Br 00:09:00 Hydration: adding H-OH 00:12:00 Adding Br and Br 00:05:00 Halohydrin formation: adding Br and OH 00:08:00 'Anti' dihydroxylation: adding OH and OH 00:07:00 'syn' dihydroxylation : adding OH and OH 00:04:00 Ozonolysis 00:03:00 Reactions summary 00:01:00 Unit 14: Synthesis Techniques One-step synthesis 00:03:00 Combining reactions: changing the position of a leaving group 00:03:00 Combining reactions: changing the position of a double bond 00:02:00 Combining reactions: introducing functionality 00:03:00 Unit 15: Wrapping Up and Bonus Thank you for enrolling and announcing part 2 00:01:00

A Dental Assistant career is all about saving smiles for a bright future. So if you are interested in achieving skills that many dentistry employers desire, enrol in our Dental Assistant course now and get extensive hands-on training for oral diagnosis, treatment planning, dental terminology, dental radiology, paediatric dentistry and much more. Taking care of oral health is an utmost priority and is an integral part of everyone's daily hygiene regimen. In addition, dental health is crucial to maintaining an overall healthy lifestyle. This course will help you excel in a dental assistant career. From scheduling appointments to sterilising and handling equipment, Dental Assistants play a crucial role in the success of any dental procedure and support patient care. Having formal training in dental assisting will help demonstrate to potential employers that you are a qualified candidate as you already possess valuable knowledge and skills. In addition, it will demonstrate that you have already made an effort to invest in training. Finally, it will help you distinguish yourself from others and explain why you should be chosen for the position you are applying for. Don't wait any longer; enrol Dental Assistant course today and help others achieve a better smile. Learning outcome Upon completion of this Dental Assistant course, you will be able to: Explore general dentistry instruments Learn the process of oral diagnosis and its treatment Understand general handling and safety guidelines Learn how to prevent infection Implement the Standards of Dental Practice in the UK in your office Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card!(£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Dental Assistance Training course: Module 01: Introduction to Dental Assisting Module 02: General Dentistry Instruments Module 03: Dental Office Management Module 04: Oral Diagnosis, Treatment Planning and Dental Terminology Module 05: General Handling and Safety of Dental Materials in the Dental Office Module 06: Infection Control and Instruments Module 07: Dental Radiology Module 08: Paediatric Dentistry Module 09: The Professional Dental Assistan Module 10: Standards of Dental Practice in the UK Assessment Process Once you have completed all the modules in the Dental Assistance Training course, you can assess your skills and knowledge with an optional assignment. Certificate of Completion The learners have to complete the assessment of this Dental Assistance Training course to achieve the CPDQS accredited certificate. Digital Certificate: £10 Hard Copy Certificate: £29 (Inside UK) Hard Copy Certificate: £39 (for international students) CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone who wants to learn more about dental assisting and how to excel as a dental assistant Anyone looking to boost their portfolio with exclusive skills. Seeking for dental assistant role Please note: This course doesn't entitle you to practice as a professional in this specific field. Rather, this course will assist you in understanding the fundamentals so that you can improve your knowledge in the relevant field. Requirements You will not need any prior background or expertise to enrol in this course. Career path This dental assistant course will open up many career opportunities. This will benefit individuals working in the following sectors: Dental assistant Dental nurse