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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.

Learning Outcomes Recognise the fundamentals of land surveying and mapping methods, including the application of technology and surveying equipment Learn how to manage construction sites, including scheduling, project planning, and safety laws Learn about the laws that govern property rights, environmental laws, and land usage Convey project requirements to stakeholders clearly and effectively by analysing and interpreting construction plans and specifications Learn about construction materials and techniques, and develop budgeting and cost management skills Improve your leadership abilities to successfully manage teams, collaborate with clients and contractors, and complete projects Description The information and abilities required to pursue a career in the construction business can be acquired through the successful completion of this Land Surveying and Construction Site Management course. Students will gain a thorough understanding of land surveying methods, construction site management ideas, the legal and regulatory frameworks that control building projects from this course and many more. Students will gain knowledge on how to precisely measure and map land characteristics using surveying tools and technologies in this course. They will also obtain knowledge of safety rules and environmental concerns, as well as abilities in project planning, scheduling, and cost management. The course provides students with a strong foundation in construction law by additionally discussing legal concerns relating to land use and property rights. Students will also learn how to interact successfully with stakeholders, such as clients, contractors, and regulatory bodies, and how to comprehend construction plans and specifications. Overall, anyone interested in pursuing a career in the construction business can benefit from investing in a Land Surveying and Construction Site Management course. It offers a solid foundation of expertise and abilities that may be used in a variety of building projects, from modest residential construction to vast commercial constructions. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment To successfully finish the course, students must take an online automated multiple-choice exam and achieve a minimum score of 60%. Upon passing the exam, students can apply for a certificate of achievement endorsed by the Quality Licence Scheme. Career path The Land Surveying and Construction Site Management course in the UK can open up several career paths in the construction industry. Here are some examples of potential career paths and their annual salary ranges: Land Surveyor - £30,000 to £45,000 per year. Site Manager - £40,000 to £60,000 per year. Construction Project Manager - £45,000 to £70,000 per year. Quantity Surveyor - £35,000 to £55,000 per year. Civil Engineer - £30,000 to £60,000 per year. Course Content Land Surveying and Construction Site Management Module 01 - Introduction to Land Surveying 00:25:00 Module 02 - Land Surveying Basics 00:31:00 Module 03 - Land Surveying Instrumentation 00:27:00 Module 04 - Land Surveying Methods and Techniques 00:32:00 Module 05 - Topographic Surveying and Mapping 00:27:00 Module 06 - Boundary Surveying 00:25:00 Module 07 - Project Life Cycle and Success 00:24:00 Module 08 - Preliminary Site Investigation & Site Organisation 00:21:00 Module 09 - Construction Site Layout Planning and Temporary Facilities Management 00:18:00 Module 10 - Site Management 00:15:00 Module 11 - Planning & Management of Equipment 00:28:00 Module 12 - Construction Materials Management 00:18:00 Module 13 - Stock Control 00:18:00 Module 14 - Health and Safety in Construction Management 00:22:00 Mock Exam Mock Exam - Land Surveying and Construction Site Management 00:20:00 Final Exam Final Exam - Land Surveying and Construction Site Management 00:20:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Course Overview: Imagine the power of interacting with databases, organising vast information, and extracting valuable insights - all at your fingertips. This might seem like a formidable task, but SQL, or Structured Query Language, brings this within reach. It is one of the most in-demand skills in the tech industry, with a projected 10% job growth rate over the next decade. Our course, The Complete SQL from Scratch: Bootcamp, provides a thorough understanding of SQL, irrespective of your prior familiarity with it. This comprehensive course walks you through the journey from the fundamentals of databases to the intricate functionalities of SQL. The curriculum includes detailed discussions on database creation, table manipulation, SQL statements, and utilisation of various operators. Moreover, it also covers essential operations like data backup and restoration, thus preparing learners for real-life database management scenarios. The course design ensures a smooth transition from one concept to another, enabling learners to solidify their understanding at each step. Enrol today and start learning SQL! Key Features of the Course: CPD certificate: Upon completion of the course, you'll receive a CPD certificate that you can use to demonstrate your skills to employers. 24/7 Learning Assistance: Our team of experts is available 24/7 to answer your questions and help you progress through the course. Interesting learning materials: The course is packed with engaging videos, interactive exercises, and quizzes to help you learn SQL in a fun and effective way. Who is This Course For? The Complete SQL from Scratch: Bootcamp course is suitable for anyone interested in diving into the world of databases or enhancing their skills further. Beginners with no prior knowledge and professionals seeking an in-depth understanding of SQL would equally benefit from the course. What You Will Learn: Through The Complete SQL from Scratch: Bootcamp , you will learn: An in-depth understanding of databases and their functions. Familiarity with PostgreSQL installation and various connections. Proficiency in manipulating data including insert, update, delete operations. A comprehensive grasp of complex SQL commands and queries. Skills to design and alter table structures using SQL scripts. Advanced knowledge about SQL statements, their structure, and usage. Competence in data backup and restoration in databases. Why Enrol in This Course: The Complete SQL from Scratch: Bootcamp course is reviewed as a top choice among learners, and is recently updated to match the trending industry needs. By enrolling, you will acquire a set of skills that are crucial in today's data-centric world, enhancing your employability and competitive edge. Requirements: No prior experience is required A computer with internet access Career Path: Database Administrator (average UK salary £47,000) Data Analyst (£40,000), Business Analyst (£43,000) SQL Developer (£45,000) Database Engineer (£48,000) Systems Analyst (£41,000) Data Architect (£62,000). Certification: After successfully completing the course, you will receive a CPD certificate, signifying your expertise in SQL. This course is your stepping stone to becoming a proficient database professional. Enrol and Lets get started! Course Curriculum 12 sections • 56 lectures • 06:39:00 total length •Introduction: 00:04:00 •Course Curriculum overview: 00:04:00 •Overview of Databases: 00:08:00 •PostgreSQL Installation: 00:13:00 •Connecting to PostgreSQL using psql: 00:04:00 •Connecting to PostgreSQL using PgAdmin: 00:07:00 •Basic of Database and Tables: 00:06:00 •Data Types: 00:07:00 •Primary Keys and Foreign Keys: 00:04:00 •Create Table in SQL Script: 00:17:00 •Insert: 00:05:00 •Update: 00:05:00 •Delete: 00:03:00 •Alter Table: 00:05:00 •Drop Table: 00:02:00 •Check Constraint: 00:12:00 •NOT NULL Constraint: 00:04:00 •UNIQUE Constraint: 00:06:00 •Overview of Challenges: 00:04:00 •SQL Statement Basic: 00:07:00 •SELECT Statement: 00:12:00 •SELECT DISTINCT: 00:10:00 •Column AS Statement: 00:07:00 •COUNT: 00:07:00 •SELECT WHERE Clause - One: 00:06:00 •SELECT WHERE Clause - Two: 00:11:00 •ORDER: 00:05:00 •LIMIT: 00:04:00 •BETWEEN keyword usage on real time: 00:08:00 •IN Operator: 00:06:00 •LIKE and ILIKE: 00:10:00 •Overview of GROUP BY: 00:03:00 •Aggregation Function: 00:12:00 •GROUP BY - One: 00:05:00 •GROUP BY - Two: 00:06:00 •HAVING on SQL Statement: 00:04:00 •Overview of JOINS: 00:07:00 •Introduction to JOINS: 00:06:00 •AS Statement table: 00:05:00 •INNER Joins: 00:14:00 •Full Outer Joins: 00:04:00 •Left Outer join: 00:03:00 •Right Outer Join: 00:05:00 •Union: 00:05:00 •Basic of Advanced SQL Commands: 00:04:00 •Timestamps: 00:17:00 •Extract from Timestamp: 00:05:00 •Mathematical Functions: 00:06:00 •String Functions: 00:16:00 •SubQuery: 00:08:00 •Overview of Databases and Tables: 00:02:00 •Creating a Database backup: 00:03:00 •Restoring a Database from backup: 00:04:00 •Overview Assessment Test: 00:02:00 •Mock Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00 •Final Exam - The Complete SQL from Scratch: Bootcamp: 00:20:00

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In today's fast-paced and competitive world, staying ahead requires constant growth and upskilling. Welcome to Electrical Machines for Electrical Engineering, an empowering journey designed to equip you with the essential knowledge and skills in Electrical Machines for Electrical Engineering to thrive in your professional endeavours. This comprehensive Electrical Machines for Electrical Engineeringcourse combines theoretical concepts with essential applications, providing you with a well-rounded understanding of the topic. Whether you're a seasoned professional seeking to enhance your expertise or a newcomer eager to embark on a new career path, this courseoffers the tools and insights necessary to unlock your true potential. This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education, but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Enrol in Electrical Machines for Electrical Engineering today and embark on a transformative journey that will set you up for success in the dynamic and evolving world of Electrical Machines for Electrical Engineering. Unleash your potential and take the first step towards a rewarding and fulfilling career! Learning Outcomes By the end of this Electrical Machines for Electrical Engineering course, you will: Gain a deep understanding of the fundamental principles and theories in Electrical Machines for Electrical Engineering. Acquire the ability to analyse and solve complex problems related to the topic critically. Enhance your communication and teamwork skills, which are essential for collaborating effectively in professional settings. Apply the learned concepts in Electrical Machines for Electrical Engineeringto drive innovation and make strategic decisions within your field. Curriculum of Electrical Machines for Electrical Engineering: Unit 1: Introduction to Electric Machines Module 1- Introduction to Electric Machines Module 2- Types of Electric Machines and Principle of Electrical Generation Unit 2: DC Machines Module 1- Importance and Construction of DC Machines Module 2- Armature Winding and EMF Equation Module 3-Solved Example 1 Module 4-Solved Example 2 Module 5-Solved Example 3 Module 6-Solved Example 4 Module 7-Separately Excited DC Machine Module 8-Shunt and Series DC Machines Module 9-Solved Example 1 on Separately Excited DC Machine Module 10-Solved Example 2 on Separately Excited DC Machine Module 11-Solved Example 3 on Shunt Generator Module 12-Solved Example 4 on Shunt Generator Module 13-Solved Example 5 on Series DC Generator Module 14-Types and Applications of Compound DC Motors Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor Module 16- Torque-Speed Characteristics of Series DC Motor Module 17-Solved Example 1 on Speed Control Module 18-Solved Example 2 on Speed Control Module 19- Starting of DC Machine Module 20- Armature Reaction in DC Machines Module 21-Losses in DC Machines Unit 3: Construction of Transformers Module 1- What is a Transformer Module 2- Importance of Transformer Module 3-Iron Core of Transformer Module 4- Magnetic Circuit Inside Transformer Module 5- Windings of Transformer Module 6- Why are Windings Made of Copper Module 7- Classification of Windings Module 8- Insulating Material and Transformer Oil Module 9- Conservator of Transformer Module 10- Breather of Transformer Module 11- Bushings of Transformer Module 12- Tap Changer of Transformer Module 13- Cooling Tubes of Transformer Module 14- Buchholz Relay of Transformer Module 15- Explosion Vent Module 16- Methods of Cooling Module 17-Types of Transformers Module 18- Power Transformer and Distribution Transformer Module 19- Single Phase Core Type Transformer Module 20-Single Phase Shell Type Transformer Module 21- 3 Phase Core Type Module 22- 3 Phase Shell Type Module 23- Comparison between Shell and Core CSA Module 24- Comparison between Shell and Core Type Module 25- Notes Module 26-Video Explaining The Components in 3D and Real Life Unit 4: Fundamentals of Magnetic Circuits Module 1- Introduction to Magnetic Circuits Module 2- Induced Emf and Current Module 3- Ampere Right Hand Rule Module 4- Magnetic Circuit and Important Definitions Module 5- Linear and Non Linear Materials Module 6-Flux Linkage and Reluctance Module 7- Analogy between Electric and Magnetic Circuits Module 8- Fringing Effect Module 9- Example 1 Magnetic Circuits Module 10- Example 2 Module 11- Example 3 Module 12- Application on Magnetic Circuit - Transformers Unit 5: Theoretical Part on Transformers Module 1- Introduction to Transformers Module 2- Construction of Transformer Module 3-Theory of Operation Module 4- Ideal Transformer Module 5-Non Ideal Transformer Module 6- Effect of Loading on Transformer Module 7- Transformer Regulation Module 8- Transformer Losses Module 9- Transformer Efficiency Module 10- Transformer Rating Module 11- Question 1 Module 12- Question 2 Module 13- Question 3 Module 14- Example 1 Module 15- Voltage Relation of Transformer Module 16- Transformer Exact Equivalent Circuit Module 17- Concept of Refereeing Module 18- Approximate Equivalent Circuit Unit 6: Synchronous Machines Module 1- Construction and Principle of Operation of Synchronous Generator Module 2- Principle of Operation of Synchronous Motor Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine Module 4-Solved Example 1 on Non Salient Machine Module 5-Solved Example 2 on Non Salient Machine Module 6-Solved Example 3 on Non Salient Machine Module 7- Solved Example 4 on Non Salient Machine Module 8-Solved Example 5 on Non Salient Machine Module 9-Solved Example 6 on Non Salient Machine Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine Module 11-Solved Example 1 on Salient Machine Module 12- Solved Example 2 on Salient Machine Module 13-Solved Example 3 on Salient Machine Module 14- Parallel Operation of Two Generators Module 15- Synchronization of Machine with Grid Unit 7: Induction Machines Module 1- Construction and Theory of Operation of Induction Machines Module 2- Equivalent Circuit and Power Flow in Induction Motor Module 3- Torque-Speed Characteristics of Induction Motor Module 4- Solved Example 1 on Induction Motor Module 5-Solved Example 2 on Induction Motor Module 6-Solved Example 3 on Induction Motor Module 7-Solved Example 4 on Induction Motor Module 8-Solved Example 5 on Induction Motor Module 9- Methods of Speed Control of Induction Motor Module 10- Methods of Starting of Induction Motor Module 11-Solved Example on Motor Starter Module 12- Principle of Operation of Doubly Fed Induction Generator Module 13-Self Excited Induction Generator This Electrical Machines for Electrical Engineering course holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their knowledge and skills in Electrical Machines for Electrical Engineering. Recent graduates seeking to enter the job market with a competitive edge. Individuals considering a career change into Electrical Machines for Electrical Engineering. Entrepreneurs aiming to gain insights into Electrical Machines for Electrical Engineering to boost their business strategies. Anyone interested in broadening their understanding of Electrical Machines for Electrical Engineering for personal or professional growth. Requirements No prior knowledge or experience is required to enrol in this Electrical Machines for Electrical Engineering course. Career path Completing Electrical Machines for Electrical Engineering can give you the initial boost to a world of exciting career opportunities.

Description: Gaming has been considered as one of the most popular hobbies in the world. Since the demand for games is not decreasing just yet, game development has continued to grow and develop. If you are interested in gaming, you need to put in your mind that learning the basics will help you in this industry. But adding lessons on how to develop and test games could take you a step ahead which this course will be able to provide. You will also be provided with social gaming guide and financial tips that could take you even further in the gaming industry. Who is the course for? Game developers or professionals who want to improve their gaming basics for development People who have an interest in becoming part of the game development industry. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Gaming 5 Course Bundle would be beneficial for the following careers: Animator Audio Engineer Beta Tester Creative Director Executive Producer Game Developer Game Programmer Game Tester Games Artist Product Manager QA Tester Software Developer. Gaming Basics Introduction 00:30:00 Understanding Consoles 01:00:00 Using Your Computer 01:00:00 Using Your Phone 01:00:00 Using the Internet 00:30:00 Where to Find Free Software 01:00:00 Understanding Accessories Dealing with Drugs 00:30:00 Wrapping Up 00:15:00 Developing Games Introduction To Game Creation 00:30:00 Essential Tools 01:00:00 2D Game Creation Software 01:00:00 3D Game Creation Software 01:00:00 3D Game Creation 00:30:00 Game Modification 01:00:00 How To Create a Game on a Social Site 00:30:00 Wrapping Up 00:15:00 Testing Games Introduction to Game Testing 01:00:00 Two Rules of Game Testing 01:00:00 How to Put a Resume Together 01:00:00 How give Examples During Job Interview 00:30:00 Contacting Game Developers 01:00:00 Use the Correct Search Keywords 00:30:00 Wrapping Up 00:15:00 Social Gaming Guide Introduction 01:00:00 How to Use the Application Launcher 00:30:00 Farmville on Facebook 01:00:00 Facebook Words with Friends 01:00:00 Facebook Social City 01:00:00 Finding Free Social Games 01:00:00 Being A Hero In Social Site Game 00:30:00 The Best Social Site Games 01:00:00 How to separate learning myths from reality 00:30:00 Financial Tips for Gamer Introduction 01:00:00 Basic Concept of Internet Safety 01:00:00 A Simple Guide for Buying budget Gaming 01:00:00 Keep Track of what you Spend 00:30:00 Why Being Naive Can Make Your Fortune 00:30:00 If you Need Help Get It 01:00:00 Be Careful not to Get Hooked 01:00:00 How to Handle Difficult Conversations at Work 00:30:00 The Best Way to Finance Games 00:15:00 Additional Supporting Materials Game QA & Testing 00:00:00 Become A Game Tester 00:00:00 Game Testing Changers 00:00:00 2D Game 00:00:00 Beginning Game Development with Python and Pygame 00:00:00 Game Development XNA GameStudio 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Gaming 5 Course Bundle 00:30:00 Final Exam Final Exam- Gaming 5 Course Bundle 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This course aims to teach users how to set a baseline and update an un-resourced project with Oracle Primavera P6 PPM Professional. This course teaches intermediate-level skills in Primavera project manager P6 PPM professional client.

Become a network security expert with comprehensive Palo Alto firewall training. Master configurations and protection techniques.

Description: Computer operation can be difficult if you have no idea how to do it. However, it only takes a complete beginner course on the computer to learn how. You need to learn the basics, operation systems and how healthy computing works which this course provides. If you think you are ready to start your journey in learning all about the computer, then you don't have to wait for. Start learning now and understand why the computer is considered as a necessity in this modern age. Who is the course for? Beginner to advanced level users can benefit from the lessons we provide People who have an interest in learning about computer and computer maintenance Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Beginners Guide to Computers is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager Computer Engineer Computer Specialist Computer Technician. Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 Computer Essentials Introduction 00:15:00 Understanding The Components Of A PC 01:30:00 Do You Need To Upgrade Your PC? 01:00:00 Essential Softwares You Must Have On Your PC 01:00:00 Installing And Organizing Your PC 01:00:00 Troubleshooting Guidelines 01:00:00 How To Speak To A Technician 00:30:00 Summary 00:30:00 Operating Systems Introduction 00:15:00 What is an Operating System? 00:30:00 History of Operating System 00:30:00 What an Operating System Does 01:00:00 Microsoft Windows 00:15:00 MAC OS 01:00:00 UNIX 00:30:00 LINUX 00:30:00 GNU 00:30:00 Other Operating Systems999 01:00:00 Installing an Operating System 00:30:00 Defining The Processes 01:00:00 Conclusion 00:15:00 Healthy Computing Introduction 01:00:00 Body Position 01:00:00 Monitors 01:00:00 Keyboards 01:00:00 Mouse or Pointer 02:00:00 Document Holders and Desk 01:00:00 Chairs 02:00:00 Telephones 00:30:00 What Have We Learned 01:00:00 Work Process and Recognition 01:00:00 Lighting 01:00:00 Ventilation 00:30:00 Awkward Postures 02:00:00 Musculoskeletal Disorders (MSD) 02:00:00 4 Steps to Setting Up The Computer Workstation 01:00:00 Exercises and Breaks 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam-Beginners Guide to Computers 00:30:00 Final Exam Final Exam-Beginners Guide to Computers 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

CompTIA Security+ Certification is a comprehensive course covering essential aspects of information security, designed to equip learners with the foundational knowledge and skills needed to navigate the complex landscape of cybersecurity.