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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.

Embark on a transformative journey into the realm of programming with our Intermediate Python Coding course. Picture yourself delving deeper into the world of Python, a language known for its versatility and efficiency. This course begins with a refresher introduction, setting a solid foundation before advancing to more complex concepts. It's designed not just to teach but to immerse you in the intricacies of Python. From understanding the fundamentals of classes and methods to unraveling the complexities of Object-Oriented Programming (OOP), each section is a step towards mastering this powerful programming language. Whether you're looking to enhance your coding skills for professional growth or personal satisfaction, this course bridges the gap between basic understanding and advanced proficiency. As you progress, you'll explore the sophisticated elements of Python, including inheritance, polymorphism, encapsulation, and abstraction. These concepts are not just taught theoretically; you'll see them come to life through practical applications, especially in the creation of Python games. This hands-on approach ensures that you're not just learning concepts but also applying them in real-world scenarios. The course also delves into Python's extensive libraries as you learn about modules, packages, and data handling with Pandas. Completing the course with error and exception handling, you emerge not just as someone who can code but as a problem-solver who can navigate through challenges and create efficient, elegant solutions. Learning Outcomes Gain a deeper understanding of Python classes, methods, and OOP principles. Develop skills in implementing inheritance, polymorphism, encapsulation, and abstraction in Python. Create interactive Python games and applications to apply coding skills practically. Learn to manage and utilise Python modules, packages, and the Pandas library. Master error and exception handling in Python for robust coding. Why choose this Intermediate Python Coding course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Intermediate Python Coding course for? Programmers looking to advance from basic to intermediate Python skills. Computer science students seeking a deeper understanding of Python. Software developers aiming to enhance their proficiency in Python. Data analysts and scientists interested in leveraging Python's capabilities. Hobbyists and tech enthusiasts keen on developing Python applications. Career path Software Developer: £30,000 - £60,000 Data Analyst: £25,000 - £50,000 Python Developer: £28,000 - £55,000 Machine Learning Engineer: £32,000 - £70,000 Data Scientist: £35,000 - £75,000 Back-end Developer: £27,000 - £53,000 Prerequisites This Beginner to Intermediate Python Coding does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Beginner to Intermediate Python Coding was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Course Introduction 00:02:00 Course Curriculum 00:05:00 How to get Pre-requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask Great Questions 00:02:00 Section 02: Class Introduction to Class 00:07:00 Create a Class 00:09:00 Calling a Class Object 00:08:00 Class Parameters - Objects 00:05:00 Access Modifiers(theory) 00:10:00 Summary 00:02:00 Section 03: Methods Introduction to methods 00:06:00 Create a method 00:07:00 Method with parameters 00:12:00 Method default parameter 00:06:00 Multiple parameters. 00:05:00 Method return keyword. 00:04:00 Method Overloading. 00:05:00 Summary 00:02:00 Section 04: OOPs Object-Oriented Programming Introduction to OOPs 00:05:00 Classes and Objects 00:08:00 Class Constructors 00:07:00 Assessment Test1 00:01:00 Solution for Assessment Test1 00:03:00 Summary 00:01:00 Section 05: Inheritance and Polymorphism Introduction 00:04:00 Inheritance 00:13:00 Getter and Setter Methods 00:12:00 Polymorphism 00:13:00 Assessment Test2 00:03:00 Solution for Assessment Test2 00:03:00 Summary 00:01:00 Section 06: Encapsulation and Abstraction Introduction 00:03:00 Access Modifiers (public, protected, private) 00:21:00 Encapsulation 00:07:00 Abstraction 00:07:00 Summary 00:02:00 Section 07: Python Games for Intermediate Introduction 00:01:00 Dice Game 00:06:00 Card and Deck Game Playing 00:07:00 Summary 00:01:00 Section 08: Modules and Packages Introduction 00:01:00 PIP command installations 00:12:00 Modules 00:12:00 Naming Module 00:03:00 Built-in Modules 00:03:00 Packages 00:08:00 List Packages 00:03:00 Summary 00:02:00 Section 09: Working Files with Pandas Introduction 00:02:00 Reading CSV files 00:11:00 Writing CSV files 00:04:00 Summary 00:01:00 Section 10: Error and ExceptionHandling Introduction 00:01:00 Errors - Types of Errors 00:08:00 Try - ExceptExceptions Handling 00:07:00 Creating User-Defined Message 00:05:00 Try-Except-FinallyBlocks 00:07:00 Summary 00:02:00

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Life Coaching and NLP Certification Life Coaching uses persuasive techniques to help people achieve personal growth. Our Life Coaching course will teach you how to break through people’s limiting beliefs to help them live a more empowered and self-sufficient life. Throughout this course, you’ll master the language of life coaching and be equipped with the practical skills to influence people’s positive thinking and bring out their best to fulfil their goals. Course Curriculum Life Coaching Module 01: Introduction to Life Coaching Module 02: History of Life Coaching Module 03: Listening as a Coach Module 04: The Language of Coaching Module 05: Coaching as a Developmental Change Process Module 06: Empowering the Client Module 07: Ethics in Coaching Module 08: Becoming an Effective Leader and Coach Neuro Linguistic Programming (NLP) NLP Lesson 1 – Introduction, Cause and Effect NLP Lesson 2 – The Map is Not the Territory NLP Lesson 3 – Sensory Acuity NLP Lesson 4 – Rapport NLP Lesson 5 – Representational Systems NLP Lesson 6 – Anchoring NLP Lesson 7 – State Elicitation NLP Lesson 8 – Language Patterns NLP Lesson 9 – Language Patterns 2 NLP Lesson 10 – Chunking (Learn more about this online course)

Explore data connectivity and streamline workflows by mastering integrating Salesforce with external systems. Discover a range of tools and techniques to seamlessly connect Salesforce with external apps. Understand concepts such as Auth Providers/Named Credentials, HTTP callouts, and OpenAPI 3.0, and achieve robust integrations without coding.

The demand for structural engineers has increased in the UK in recent years. This is because millions of structures are being built worldwide every day. And these numbers will never decrease as we constantly need buildings like offices, houses, bridges, and schools; this list will continue. For those thinking of embarking upon a career in structural engineering, this ultimate career bundle will fill you in on everything you need to know about this buoyant industry and provide the necessary knowledge on how to gain your first big break. In the UK, on average, Structural Engineers earn around £38,000 - £55,000 per annum. So enrol in this course and take your next step towards a successful career! Package Details: Number of Courses: 30 Courses Accreditation: CPD Quality Standards Free Certificates:PDF: 30Hardcopy: 30 (Delivery Charge Applicable) Courses Access: Lifetime Instalment Payment Available Structural Engineering Related Courses Course 01: Read Construction & Structural Drawing Like Expert Course 02: Diploma in Construction Management Course 03: Quantity Surveyor Diploma Course 04: Building Surveyor Course 05: Land Surveying Course 06: Bricklaying Course 07: Construction Cost Estimation Diploma Course 08: Construction Estimation using RSMeans Course 09: Construction Cost Estimation Using Xactimate Course 10: Cost Estimation for Multiplex Building Using Xactimate Course 11: Property Law and Legislation Course 12: Construction Industry Scheme (CIS) Course 13: WELL Building Standard Course 14: LEED V4: Building Design and Construction Course 15: LEED V4 - Building Design and Construction Architecture & AutoCAD Related Courses Course 01: Architectural Studies Course 02: AutoCAD Programming using C# with Windows Forms Course 03: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 04: Autocad Electrical Design Course 05: Intermediate Solidworks Course Course 06: Solidworks Foundation Training Course 07: Interior Design Professional Diploma Course 08: Professional Interior Design & Construction Constraction Safety Related Courses Course 01: Construction Safety Course 02: Fire Safety | Online Course Course 03: Emergency First Aid and Incident Management at Work Course 04: RIDDOR Training Course 05: LOLER Training Course 06: COSHH Training and Safety - Level 2 Course 07: DSEAR Training Benefits you'll get from choosing Apex Learning for this training: Pay once and get lifetime access 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 CPD 305 CPD hours / points Accredited by CPD Quality Standards Career path This bundle will help you learn the necessary skills to explore opportunities such as- Structural Engineer £36,000 - £38,000 per annum Engineer £27,000 - £45,000 per annum Construction Engineer £3,000 - £45,000 per annum Engineer Surveyor £28,000 - £32,500 per annum Civil Engineer £29,000 - £38,000 per annum

Overview This comprehensive course on CompTIA IT Fundamentals ITF+ (FCO-U61) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA IT Fundamentals ITF+ (FCO-U61) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA IT Fundamentals ITF+ (FCO-U61). It is available to all students, of all academic backgrounds. Requirements Our CompTIA IT Fundamentals ITF+ (FCO-U61) 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 64 lectures • 04:55:00 total length •Introduction to IT Fundamentals: 00:03:00 •The Case for Computer Literacy: 00:03:00 •Features Common to Every Computing Device: 00:02:00 •Common General-Purpose Computing Devices: 00:02:00 •Networks of Computing Devices: 00:04:00 •Remotely-Accessed Computer Systems: 00:04:00 •Specialized Computer Systems: 00:02:00 •Specialty I/O Devices: 00:01:00 •CPUs: 00:03:00 •Passive and Active Cooling: 00:03:00 •RAM and Active Memory: 00:05:00 •Motherboards: 00:03:00 •Power Supplies: 00:03:00 •AMA - Ask Me Anything about System Hardware: 00:07:00 •Ports and Connectors: 00:03:00 •General Use I/O Devices: 00:02:00 •AMA - Ask Me Anything about I/O, Ports and Peripherals: 00:07:00 •Basics of Binary: 00:04:00 •Storage Technologies: 00:04:00 •Mass Storage Variation: 00:03:00 •AMA - Ask Me Anything about Data Storage and Sharing: 00:07:00 •Operating System Functions: 00:04:00 •Operating System Interfaces: 00:05:00 •AMA - Ask Me Anything about Understanding OS's: 00:05:00 •Preparing the Work Area: 00:02:00 •Setting up a Desktop PC: 00:01:00 •Completing PC Setup: 00:04:00 •AMA - Ask Me Anything about Setting up and Configuring a PC: 00:09:00 •Personalizing a Tablet: 00:08:00 •AMA - Ask Me Anything about Mobile Devices Part 1: 00:07:00 •AMA - Ask Me Anything about Mobile Devices Part 2: 00:07:00 •File Management Tools: 00:02:00 •File Manipulation: 00:06:00 •Backups: 00:03:00 •AMA - Ask Me Anything about Managing Files: 00:08:00 •Walking Survey of Applications: 00:03:00 •Managing Applications: 00:03:00 •Applications and Extensions: 00:04:00 •AMA - Ask Me Anything about Working with Applications: 00:07:00 •Wi-Fi Setup: 00:06:00 •Going High Speed: 00:03:00 •Setting Up and Sharing Printers: 00:05:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 1: 00:07:00 •AMA - Ask Me Anything about Networks and Internet Connectivity Part 2: 00:05:00 •Physical Security: 00:05:00 •Dealing with Malware: 00:03:00 •Password Management: 00:03:00 •Clickworthy: 00:03:00 •Perils of Public Internet: 00:02:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 1: 00:07:00 •AMA - Ask Me Anything about IT Threat Mitigation Part 2: 00:08:00 •Power Management: 00:02:00 •Cleaning and Maintaining Computers: 00:02:00 •Trash it or Stash it?: 00:02:00 •AMA - Ask Me Anything about Computer Maintenance and Management: 00:11:00 •Troubleshooting 101: 00:03:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 1: 00:10:00 •AMA - Ask Me Anything about Troubleshooting Computers Part 2: 00:11:00 •Introduction to Databases: 00:06:00 •Database Details: 00:06:00 •AMA - Ask Me Anything about Databases: 00:06:00 •Introduction to Programming: 00:04:00 •Programming with a PBJ Sandwich: 00:08:00 •AMA - Ask Me Anything about Programming: 00:04:00

Civil Engineering & Construction Management Training Package Details: Number of Courses: 30 Courses Accreditation: CPD Quality Standards Free Certificates:PDF: 30Hardcopy: 30 (Delivery Charge Applicable) Courses Access: Lifetime Instalment Payment Available --------------***------------- Civil Engineering Course 01: Read Construction & Structural Drawing Like Expert Course 02: Diploma in Construction Management Course 03: Quantity Surveyor Diploma Course 04: Building Surveyor Course 05: Land Surveying Course 06: Bricklaying Course 07: Construction Cost Estimation Diploma Course 08: Construction Estimation using RSMeans Course 09: Construction Cost Estimation Using Xactimate Course 10: Cost Estimation for Multiplex Building Using Xactimate Course 11: Property Law and Legislation Course 12: Construction Industry Scheme (CIS) Course 13: WELL Building Standard Course 14: LEED V4: Building Design and Construction Course 15: LEED V4 - Building Design and Construction Architecture & AutoCAD Course 01: Architectural Studies Course 02: AutoCAD Programming using C# with Windows Forms Course 03: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 04: Autocad Electrical Design Course 05: Intermediate Solidworks Course Course 06: Solidworks Foundation Training Course 07: Interior Design Professional Diploma Course 08: Professional Interior Design & Construction Constraction Course 01: Construction Safety Course 02: Fire Safety | Online Course Course 03: Emergency First Aid and Incident Management at Work Course 04: RIDDOR Training Course 05: LOLER Training Course 06: COSHH Training and Safety - Level 2 Course 07: DSEAR Training Benefits you'll get from choosing Apex Learning for this Civil Engineering & Construction Management training: Pay once and get lifetime access 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 Civil Engineering & Construction Management modules designed by expert instructors Learn anytime, from anywhere Study from your computer, tablet or mobile device CPD accredited Civil Engineering & Construction Management courses - improve the chance of gaining professional skills CPD 305 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Civil Engineering & Construction Management bundle including- Students Graduates Job Seekers Job Holders Requirements No requirements to enrol this Civil Engineering & Construction Management course. Career path This Civil Engineering & Construction Management bundle will help you learn the necessary skills to explore opportunities such as- Structural Engineer £36,000 - £38,000 per annum Engineer £27,000 - £45,000 per annum Construction Engineer £3,000 - £45,000 per annum Engineer Surveyor £28,000 - £32,500 per annum Civil Engineer £29,000 - £38,000 per annum

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Unleash the power of deep learning neural networks with R! Learn to build and train models to solve real problems in agriculture, war deaths, and more.