1521 Summary courses in Cardiff delivered Online

14 in 1 "Account Manager Training" Bundle only at £79 Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a Account Manager Training course you are looking for? Can't find the complete Training package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in Account Manager Training and other relevant fields! After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Account Manager Training and help you along your learning journey. Advanced audio-visual learning modules of these courses are broken down into little chunks so that you can learn Account Manager Training at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Account Manager Training, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These Account Manager Training certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Bundle Consists of the following Premium courses: Course 01: Accountancy Course 02: Managerial Accounting Masterclass Course 03: Level 3 Tax Accounting Course 04: Theory of Constraints, Throughput Accounting and Lean Accounting Course 05: Internal Audit Training Diploma Course 06: Level 3 Xero Training Course 07: Diploma in Quickbooks Bookkeeping Course 08: UK Tax Reforms and HMRC Legislation Course 09: Self Assessment Tax Return Filing UK Course 10: Companies House Filing UK Course 11: Payroll Management - Diploma Course 12: Team Management Course 13: Business Analysis Level 3 Course 14: Microsoft Excel Training: Depreciation Accounting Enrol now to advance your career, and use the premium study materials from Apex Learning. Benefits you'll get from choosing Apex Learning for this Training: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) Curriculum Course 01: Accountancy Introduction to Accounting The Role of an Accountant Accounting Concepts and Standards Double-Entry Bookkeeping Balance Sheet Income statement Financial statements Cash Flow Statements Understanding Profit and Loss Statement Financial Budgeting and Planning Auditing Course 02: Managerial Accounting Masterclass Section 01 Manaerial Accounting Defined Financial Accounting Compared to Managerial Accounting Trends Foundation Concepts part 1 Foundation Concepts part 2 Foundation Concepts part 3 Section 02 Process costing vs Job Cost Job cost part 1 Job cost part 2 Allocating costs to multiple products Departmental Overhead Rate Activity Based Costing Section 03 Cost Behavior Cost Behavior Continued Break Even Point Break Even Point Changes Sales Mix Pricing Short Term Decisions Section 04 Budgeting Intro Budgetin continued Operating Budgets Cash Budget Budgeted Balance Sheet Performance Evaluation Performance Evaluation Cont p1 Performance Evaluation Cont p2 Standards Standard Costs Continued Section 05 Capital Investment Decisions Capital Investment Analysis Course 03: Level 3 Tax Accounting Tax System and Administration in the UK Tax on Individuals National Insurance How to Submit a Self-Assessment Tax Return Fundamentals of Income Tax Advanced Income Tax Payee, Payroll and Wages Capital Gain Tax Value Added Tax Import and Export Corporation Tax Inheritance Tax Double Entry Accounting Management Accounting and Financial Analysis Career as a Tax Accountant in the UK Course 04: Theory of Constraints, Throughput Accounting and Lean Accounting The Theory of Constraints and Throughput Accounting Lean Accounting Part 1 Lean Accounting Part 2 Summary and Lean Accounting Assignment Course 05: Internal Audit Training Diploma Auditing as a Form of Assurance Internal Audit Procedures Technology-based Internal Audit Internal Control and Control Risk Audit Interviews Reporting Audit Outcome UK Internal Audit Standards Career as an Auditor Course 06: Level 3 Xero Training Introduction Getting Started Invoices and Sales Bills and Purchases Bank Accounts Products and Services Fixed Assets Payroll VAT Returns Course 07: Diploma in Quickbooks Bookkeeping Getting prepared - access the software and course materials Getting started Setting up the system Nominal ledger Customers Suppliers Sales ledger Purchases ledger Sundry payments Sundry receipts Petty cash VAT - Value Added Tax Bank reconciliation Payroll / Wages Reports Tasks Course 08: UK Tax Reforms and HMRC Legislation Module 01 Introduction The Requirements The Timeline Module 02 Planning Checklist Getting & Providing Support - Things to Consider Changes ahead for accounting firms Conclusion and Next Steps Course 09: Self Assessment Tax Return Filing UK Module 01 Introduction to Self Assessment Logging into the HMRC System Fill in the Self Assessment Return Module 02 Viewing the Calculation Submitting the Assessment Conclusion Course 10: Companies House Filing UK Module 01 Background to CH Filing Filing the Possibilities Second Attempt Explanation of Guidance Notes second attempt Module 02 Filing Megzina 2015 Filing Booglez 2015 Email confirmation Booglez and Megz Email confirmation Email confirmation Megzina Course 11: Payroll Management - Diploma Sage 50 Payroll for Beginners Payroll Basics Company Settings Legislation Settings Pension Scheme Basics Pay Elements The Processing Date Adding Existing Employees Adding New Employees Payroll Processing Basics Entering Payments Pre-Update Reports Updating Records e-Submissions Basics Process Payroll (November) Employee Records and Reports Editing Employee Records Process Payroll (December) Resetting Payments Quick SSP An Employee Leaves Final Payroll Run Reports and Historical Data Year-End Procedures Sage 50 Payroll Intermediate Level The Outline View and Criteria Global Changes Timesheets Departments and Analysis Holiday Schemes Recording Holidays Absence Reasons Statutory Sick Pay Statutory Maternity Pay Student Loans Company Cars Workplace Pensions Holiday Funds Roll Back Passwords and Access Rights Options and Links Linking Payroll to Accounts Course 13: Business Analysis Level 3 Introduction to Business Analysis Business Processes Business Analysis Planning and Monitoring Strategic Analysis and Product Scope Solution Evaluation Investigation Techniques Ratio Analysis Stakeholder Analysis and Management Process Improvement with Gap Analysis Documenting and Managing Requirements Career Prospect as a Business Analyst in the UK Course 14: Microsoft Excel Training: Depreciation Accounting Introduction Depreciation Amortization and Related Terms Various Methods of Depreciation and Depreciation Accounting Depreciation and Taxation Master Depreciation Model Conclusion CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle including- Students Graduates Job Seekers Job Holders Requirements Our Account Manager Training is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Accountancy) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Accountancy) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Useful Ways to improve your Makeup skills Do you want propel your makeup and nail technician skills to whole new level? Are you the next big Makeup artist? You can be! This course will show you how. A make-up artist ensures that models, performers and presenters have suitable make-up and hairstyles before they appear in front of cameras or an audience. The work involves creating images and characters through the medium of make-up, hairstyles and prosthetics according to a brief. Whereas a nail technician is a health and beauty professional who works to improve and decorate a customer's nails. The purpose of this job is very close to the definition given in the summary. It is a cosmetic position, in that a nail technician will work to improve the look of their clients' nails, as well as looking after the health of the nails themselves. Learn the new techniques involving Makeup skills as well how to properly take care of your nails through this course. With this course you will have no problem looking as fabulous as you want to be. Course Highlights Makeup and Nail Technician Advanced Diploma is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Makeup and Nail Technician Advanced Diploma into 24 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 19 hours, 45 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Makeup and Nail Technician Advanced Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Makeup and Nail Technician Advanced Diploma is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Makeup and Nail Technician Advanced Diploma is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Cosmetics and Makeup What is a Cosmetic? FREE 00:15:00 Cosmetics - From Tradition to Modernity FREE 00:15:00 Equipment - Makeup Kits 01:00:00 Skin 01:00:00 Face 01:00:00 Lips 00:15:00 Eyes 01:00:00 Ten-Step Guide to Perfect Makeup 00:30:00 Special Makeup Applications 01:00:00 Essential Equipment for the Professional 00:30:00 Advanced Makeup Applications 00:30:00 Skin Care Introduction FREE 00:15:00 The Great Skin Basics You Should Know FREE 01:00:00 Choosing The Most Suitable Facial Care Products For Your Skin Type 01:00:00 What You Need To Know About Moisturizing Your Face 01:00:00 About Exfoliation 01:00:00 The Importance of Water and Rest For Your Skin Care 01:00:00 The Importance of Your Diet for Your Skin Care 01:00:00 Nail Designing & Manicure French Manicures 00:30:00 Manicure Stations 00:30:00 Manicure Tables 01:00:00 Manicures 01:00:00 Products and Supplies for Nail Manicures 00:30:00 Amber Manicure Heater 00:30:00 Handy Tips for French Manicures 00:30:00 How to Give a Manicure 01:00:00 Images and the manicure 00:30:00 Inexpensive Manicure Sets 01:00:00 Manicure Procedure 00:30:00 Manicure Sets- Why they are Handy 01:00:00 Mock Exam Mock Exam- Makeup and Nail Technician Advanced Diploma 00:30:00 Final Exam Final Exam- Makeup and Nail Technician Advanced Diploma 00:30:00

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.

Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Know Your Customer (KYC) will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Know Your Customer (KYC) will help you keep ahead of the pack. The Know Your Customer (KYC) incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this coursewill add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Know Your Customer (KYC), you can equip yourself with the essentials to keep you afloat into the competition. Along with this Know Your Customer (KYC) course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. What other courses are included with this Know Your Customer (KYC)? Course 01: Know Your Customer (KYC) Course 02: Sales: Psychology of Customers Course 03: Customer Relationship Management Course 04: Phone-Based Customer Service Course 05: Retail Management - Level 5 Course 06: GCSE English Course 07: Public Speaking and Presentation Skill Course Course 08: The Formula to Talk with Strangers Course 09: Level 2 Microsoft Office Essentials Course 10: Time Management Course 11: Stress Management Training So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Know Your Customer (KYC): One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable and in-demand skills without leaving your home. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of Know Your Customer (KYC) Bundle Course 01: Know Your Customer (KYC) Module 01: Introduction to KYC Module 02: Customer Due Diligence Module 03: AML (Anti-Money Laundering) Module 04: KYC, AML, and Data Privacy Regulations for Businesses Operations in the United Kingdom Module 05: Regulations to be Complied by Industries Module 06: Methods for carrying out KYC and AML and the Future of KYC Compliance Course 02: Sales: Psychology of Customers Introduction Introducing A.S.K - concentrating on 'A' for ATTRACT. Section 3 The 'S' of A.S.K. - SERVING Section 4 The K of A.S.K Section 5 ...And lastly... Course 03: Customer Relationship Management Module 01: Introduction to Customer Relationship Management (CRM) Module 02: CRM Fundamentals Module 03: CRM Strategies CRM Strategies Module 04: Data Analysis in CRM Module 05: CRM Databases Module 06: Deepening Customer Relationship Module 07: Handling Customer Complaints Module 08: Future of CRM Course 04: Phone-Based Customer Service Module 1: Introduction to Customer Service Module 2: What's Different about Good Customer Service? Module 3: Customer Relationship Management Module 4: Customer Service Communication Strategies Module 5: Aspects of Phone Etiquette Module 6: Building Rapport Over the Phone Module 7: Inbound and Outbound Calls Module 8: Active Listening and Managing Tough Callers Module 9: Managing Interoffice Calls and Voicemail Module 10: Problem Solving over the Phone Module 11: Intra Organisation Dealings Module 12: Measuring Customer Service Course 05: Retail Customer Service Training Module 01: Who We Are and What We Do Module 02: The Sales Process and Dealing with Customers at the Checkout Module 03: Importance of Consumer Behaviour Module 04: Taking Trends and Targeting Customers Effectively Module 05: The Importance of Communicating with Customers Module 06: Identifying and Addressing Customer Needs Module 07: Generating Return Business Module 08: In-Person Customer Service Module 09: Giving Customer Service over the Phone Module 10: Providing Electronic Customer Service Module 11: Recovering Difficult Customers Module 12: Understanding When to Escalate Course 06: GCSE English Module 01: Introduction to GCSE English Module 02: Edexcel English Section A Part 01 Module 03: Edexcel English Section A Part 02 Module 04: Edexcel English Section B Module 05: Edexcel English Section C and many more... Course 07: Public Speaking and Presentation Skill Course Introduction QUICK UNLEARNING Before Starting this "SKILL" IS THIS HAPPENED WITH YOU???? Impressive Methods of Hooking Audience, even before your Speech or Presentation 6 Highly Impressive Methods of Starting any Speech or Presentation!! Body Language: 6 Methods for Impressive Body Language for Speech or Presentation Vocal Variety: 3 Methods (VST) for POWERFUL Vocal Variety Effective Methods of Ending Any Speech or Presentation Bonus Course 08: The Formula to Talk with Strangers Section 01: Course Overview Section 02: The Formula Section 03: Summary Section 04: End Course 09: Level 2 Microsoft Office Essentials ***Excel 2016*** Getting Started with Microsoft Office Excel 2016 Performing Calculations Modifying a Worksheet Formatting a Worksheet Printing Workbooks Managing Workbooks ***Word 2016*** Getting Started with Word Formatting Text and Paragraphs Working More Efficiently Managing Lists Adding Tables Inserting Graphic Objects Controlling Page Appearance Preparing to Publish a Document Workbooks - Microsoft Word 2016 (Beginner) ***PowerPoint 2016*** PowerPoint Interface Presentation Basics Formatting Inserting Options Working with Objects Table Charts Review and Presentatin ***Access 2016*** Introduction to Access Modify Data Working with Queries Access Forms Working with Reports Course 10: Time Management Identifying Goals Effective Energy Distribution Working with Your Personal Style Building Your Toolbox Establishing Your Action Plan Course 11: Stress Management Training Beginning Concepts Specific Stress Management Techniques MORE Stress Reduction Strategies Still MORE Stress Reduction Techniques - Part 1 Still MORE Stress Reduction Techniques - Part 2 Still MORE Stress Reduction Techniques - Part 3 BONUS Video & Wrap Up! Special LIVE Bonus Video! CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Know Your Customer (KYC) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Know Your Customer (KYC) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various CPD certificate will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Highlights of the Course Course Type: Online Learning Duration: 2 Hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about nutritional therapy Understand the core competencies and principles of nutritional therapy Explore the various areas of nutritional therapy Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert nutritionist Nutritional Therapist Course Master the skills you need to propel your career forward in nutritional therapy. This course will equip you with the essential knowledge and skillset that will make you a confident nutritionist and take your career to the next level. This comprehensive nutritional therapist course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this nutritional therapist course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective nutritional therapy practice and equip you with the essential skills, confidence and competence to assist you in the nutritional therapy industry. You'll gain a solid understanding of the core competencies required to drive a successful career in nutritional therapy. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for nutritionist or for people who are aspiring to specialise in nutritional therapy. Enrol in this nutritional therapist course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive nutritional therapist course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this nutritional therapy can also take this course. 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. Entry Requirements This nutritional therapist course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This nutritional therapist course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This nutritional therapist course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. 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. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Why Individuals React Differently to Food Introduction 00:05:00 Lesson 2 Nutritional Genomics 00:06:00 Lesson 3: Changing Gene Expression - Switching Genes on and off 00:06:00 Lesson 4: Free Radicals and DNA Damage 00:04:00 Practical Steps for Using Nutrition as Therapy Lesson 5: Fight Free Radicals with Antioxidants 00:04:00 Lesson 6: Nature's Pharmacy - Phytonutrients and Phytochemicals 00:08:00 Lesson 7: Fiber the Antioxidant Transporter & More 00:04:00 Lesson 8: Omega 3 the Protector vs the Destroyers 00:03:00 Lesson 9: Diets for Longevity - The Blue Zones 00:04:00 The Specifics of Powerful Nutrient Rick Foods Lesson 10: Benefits in 30+ Foods - Veggies 00:07:00 Lesson 11: Benefits in 30+ Foods - Veggies Part 2 00:08:00 Lesson 12: Benefits in 30+ Foods - Fruit 00:07:00 Lesson 13: Benefits in 30+ Foods - Grains 00:07:00 Lesson 14: Benefits in 30+ Foods - Nuts & Seeds 00:08:00 Lesson 15: Benefits in 30+ Foods - Legumes & More 00:05:00 Wellness Coaching and Nutritional Therapy Lesson 16: Nutritional Therapist vs Dietitian 00:07:00 Lesson 17: Your Role as a Nutritional Therapist or Wellness Coach 00:05:00 Lesson 18: Skills & Education of a Wellness Coach 00:05:00 Lesson 19: How to Structure Client Consultations 00:05:00 Putting it all Together Lesson 20: Meal Planning - Developing a Healthy Plate 00:02:00 Lesson 21: Summary 00:03:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Duration 5 Days 30 CPD hours This course is intended for This class is designed for persons who are new to the z/OS platforms but have a technical background in information technology. It is intended for those who require an in-depth understanding of z/OS. Overview Describe the system initialization process of the z/OS operating systemsState the differences between an address space, data space, and hyperspaceDescribe the process of translating a virtual address to a real addressExplain the difference between paging and swappingDefine a z/OS taskDescribe dispatching, interrupt processing, supervisor calls, cross memory services, and serializationDescribe the purpose of the Job Entry Subsystem (JES)Illustrate the flow of a job through the z/OS environmentDescribe the allocation process for data sets in the z/OS environmentsIllustrate how an I/O request is processed in a z/OS environmentDescribe how workload management is accomplished in a z/OS environmentExplain the z/OS recovery processes and list available Problem Determination ToolsDescribe z/OS storage management conceptsDescribe the UNIX System Services functions provided in the z/OS environmentsExplain the network topologies and protocol support provided in z/OSDescribe system security and network security for a z/OS environmentCreate a high-level plan for the installation and configuration of a z/OS environment This classroom course introduces the base elements, optional features, and servers that are provided in z/OS. It focuses on the system service facilities that are provided by the z/OS Base Control Program (BCP). Day 1 Unit 1: z/OS overview Including welcome and course overview Unit 2: Storage management Day 2 Unit 3: Managing work Unit 4: Input/output processing Day 3 Unit 4: Input/output processing (continued) Unit 5: Data management Unit 6: Job management Day 4 Unit 7: IPL and system initialization Unit 8: Termination and recovery analysis Unit 9: Installing and configuring Day 5 Unit 10: Communicating Unit 11: Security in z/OS Including end-of-course summary Additional course details: Nexus Humans ES15 IBM z/OS Facilities training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the ES15 IBM z/OS Facilities course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This intermediate course is designed for experienced Integration Specialists and Senior-Level Developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of the IBM Integration BusDevelop, deploy, and test message flow applicationsGenerate message flow applications from predefined patternsUse IBM Integration Bus problem determination aids to diagnose and solve development and runtime errorsDescribe the function and appropriate use of IBM Integration Bus processing nodesWrite basic Extended Structured Query Language and Java programs to transform dataUse the IBM Graphical Data Mapping editor to transform dataDefine, use, and test simple XML and Data Format Description Language (DFDL) data modelsDescribe supported transport protocols and how to call them in message flows This course teaches you how to use IBM Integration Bus to develop, deploy, and support message flow applications. Students will learn how to construct applications to transport and transform data. Course Outline Course introduction Introduction to IBM Integration Bus Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Course summary Additional course details: Nexus Humans WM666 IBM Integration Bus V10 Application Development I training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the WM666 IBM Integration Bus V10 Application Development I course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Deep Learning on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for The target audience for this textbook is all Oracle professionals, both business and systems professionals. Among the specific groups for whom this textbook will be helpful are: ? Business and non-IT professionals ? Application designers and database developers ? Business Intelligence (BI) analysts and consumers ? Database administrators ? Web server administrators Overview The first portion of this textbook considers the logical models upon which a relational database is based and the various configurations and environments in which you may work with the Oracle database. The next segment focuses on the actual SQL syntax for writing database queries. You will begin with the simplest of queries and then proceed onto moderately complex query scenarios. Finally, this textbook covers the DDL, DML and transaction control portions of the SQL language that allow one to create, maintain and manipulate application database objects and application data. This textbook takes a unique approach to SQL training in that it incorporates data modeling theory, relational database theory, graphical depictions of theoretical concepts and numerous examples of actual SQL syntax into one learning vehicle. Relational Databases & Data Models About Data Models About the Relational Model The Electronics Data Model About the Relational DBMS Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL*Plus Setup Jdeveloper Using the Database Interface About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Introduction to the SQL Language About the SQL Language Characteristics of SQL Introducing SQL Using Select SQL Rules The Select Statement The Select Statement Distinct/Unique Keyword Using Alias Names Restricting Results with the Where Clause About Logical Operators Equality Operator Boolean Operators REGEXP_LIKE() In Operator Sorting Data with the Order By Clause About the Order by Clause Multiple Column Sorts Specify the Sort Sequence About Null Values within Sorts Using Column Aliases Pseudo Columns, Functions & Top-N Queries Rowid Pseudo Column ORA_ROWSCN PSEUDO Column ROWNUM Pseudo Column About the Built-In Functions SYSDATE User & UID SESSIONTIMEZONE Function Using the Dual Table Row Limiting & Top-N Queries FETCH First x Rows Only Clause OFFSET x Rows Clause FETCH?PERCENT Clause The WITH TIES Option Joining Tables About Joins Inner Joins Reflexive Join Non-Key Join Outer Join Using the Set Operators About the Set Operators SQL Set Operator Examples UNION Example INTERECT Example MINUS Example UNION All Summary Functions Using Sub-Queries Finding Data with Sub-Queries Standard Sub-Queries Correlated Sub-Queries The EXISTS Operator Aggregating Data within Groups About Summary Groups Find Groups within the Tables Select Data From the Base Tables Select Groups from the Results Use DDL to Create & Manage Tables Create Table Statement Column Data Types Not Null Default Describe Alter Table Statement Drop Table Statement Table DDL Using SQL Developer Alter User Statement Alter Session Statement NLS_Language NLS_Date Use DML to Manipulate Data The Insert Statement The Delete Statement The Update Statement About Transactions Transaction Rollback Transaction Commit Transaction Savepoint The Set Transaction Statement Set Transaction Read Only Statement Rules Understanding the Data Models The Company Data Model The Electronics Data Model About the SQL-99 Standard SQL-92 & SQL-99 Cross Joins Natural Joins Inner Joins Implicit Inner Join Outer Joins Anti Joins Named Sub-Queries Enhancing Groups with Rollup & Cube Using Rollup The Grouping() Function Using Cube SQL Functions: Character Handling What are the SQL Functions? String Formatting Functions UPPER(), LOWER() Example INITCAP() Example Character Codes Functions CHR((), ASCII() Examples PAD & TRIM Functions RPAD() Example RTRIM() Example TRIM() Example String Manipulation Functions DECODE () Example SUBSTR() Example INSTR() Example TRANSLATE() Example REPLACE() Example String Comparison Functions LEAST() Example Phonetic Search Function SOUNDEX() Example SQL Functions: Numeric Handling About the Numeric Data Functions GREATEST() Example ABS() Example ROUND() Example TRUNC() Example SIGN() Example TO_NUMBER() Example & Data ype Conversions NULL VALUES FUNCTIONS NVL() & NVL2() Function NVL() Example (Character) NVL() Example (Numeric Loss of Data) NVL() Example (Numeric Output) NVL2() Example COALESCE() Function NULLIF() Function SQL Functions: Date Handling Date Formatting Functions TO_CHAR() & TO_DATE() Format Patterns TO_CHAR() Examples TO_DATE() Examples EXTRACT() Example Date Arithmetic Functions MONTHS_BETWEEN() Example ADD_MONTHS() Example LAST_DAY() Example NEXT_DAY() Example TRUNC(), ROUND() Dates Example NEW_ TIME() Example About V$TIMEZONE_NAMES CAST() FUNCTION & TIME ZONES Database Objects: About Database Objects About Database Objects About Schemas Making Object References Database Objects: Relational Views About Relations Views The Create View Statement Why Use Views? Accessing Views with DML Maintaining View Definitions Alter View Drop View DDL Using SQL Developer Database Objects: Indexes About Indexes Create & Drop Index Statements Indexes & Performance Data Dictionary Storage Database Objects: Creating Other Objects About Sequences Referencing NEXTVAL Referencing CURRVAL Within the DEFAULT Clause Alter Sequence & Drop Sequence ALTER SEQUENCE DROP SEQUENCE About Identity Columns CREATE TABLE?GENERATED AS IDENTITY ALTER TABLE?GENERATED AS IDENTITY Start With Limit Value ALTER TABLE...DROP IDENTITY About Synonyms CREATE & DROP SYNONYM Statements CREATE SYNONYM DROP SYNONYM Public Vs Private Synonyms CREATE SCHEMA AUTHORIZATION Database Objects: Object Management Using DDL The RENAME Statement TABLESPACE Placement CREATE TABLE?TABLESPACE The Comment Statement The TRUNCATE TABLE Statement Database Objects: Security About Object Security Grant Object Privileges Revoke Object Privileges Object Privileges & SQL Developer Data Integrity Using Constraints About Constraints NOT NULL Constraint NOT NULL Example CHECK Constraint UNIQUE Constraint PRIMARY KEY Constraint REFERENCES Constraint ON DELETE CASCADE Example ON DELETE SET NULL Example Constraints on Existing Tables Constraints & SQL Developer Managing Constraint Definitions RENAMING & DROPPING Constraints ENABLING & DISABLING Constraints DEFERRED Constraint Enforcement SET CONSTRAINTS Handling Constraint Exceptions Constraints with Views DATA Dictionary Storage The Data Dictionary Structure More About the Data Dictionary OBJECT-SPECIFIC Dictionary Views USER_UPDATABLE_COLUMNS The Dictionary Structure METADATA & SQL Developer Additional course details: Nexus Humans Oracle 12c SQL Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Oracle 12c SQL Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.