965 Programming Languages courses delivered Online

Description: In today's world websites are a basic necessity for everyone. All businesses have a website to advertise their products and services to existing and new customers. This course is what you need to understand web development basics as it will help you discover niche, identify platforms, select web host, use SEO & social sites and more. You do not want to fall behind everyone else, which is why you should consider taking this accredited Web Development Complete Course. You will be able to find out website design terminologies, discover new techniques to build your website for free, creating your site layout and a lot more. This is all geared towards helping you build your desired websites. In the next section, you focus on programming languages including HTML, CSS and PHP to see if these intrigue you enough to take the challenging yet unique road to web development. If you decide against that though, this course is prepared to teach you to use Joomla in order to get started in creating your first ever website. Who is the course for? People who want to learn PHP, HTML and CSS programming People interested in website development Entrepreneurs or business owners wanting to develop a website for their business 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 hardcopy 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: Web Development Complete Course is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: Web developers Entrepreneurs Website designers Programmers Basic Coding for Web Development HTML Basics 00:30:00 CSS Basics 01:00:00 Web Design & Development: HTML5, CSS3 and JavaScript 02:00:00 Web Development Basics What Are Niche Website? 01:00:00 The Role Of Visualization In Education 00:15:00 Identify Your Best Platform Or Software 01:00:00 Select A Web Host 01:00:00 Collect Your Site 00:15:00 Building A Content Rich Website 00:15:00 Build Backlinks 00:30:00 Use SEO, Multimedia And Social Sites 01:30:00 Use Analytics 01:00:00 Wrapping Up 00:15:00 Web Designing The Best Website Design for Your Business 01:00:00 What's in a Domain Suffixes 00:31:00 Website Design Terminology 01:00:00 CSS Explanation 01:00:00 Website Designs & Power Stations 01:00:00 How Can I Build my Website for Free 01:00:00 Six Steps to Website Design for Beginners 01:00:00 Dreamweaver or CoffeeCup for Website Design 01:00:00 Using Dreamweaver to Create your Site Layout 00:30:00 Three Crucial Steps to Creating Your Website 01:00:00 Dos and Don'ts of Website Creation9 01:00:00 SEO Basics for Effective Website Design 01:30:00 Ideas for Your Internet Business Website Design 01:00:00 Immediately Applicable Design Tips for a User-Friendly Website 01:00:00 6 Best Reasons to Create a Website 01:00:00 Common Mistakes in Website Design 01:00:00 Too Much or Too Little 00:30:00 Why Successful Website Development is Committed to Design 01:00:00 Ideas for Your Personal Website Design 01:00:00 How to Create a Social Networking Website to Enhance your Business 01:00:00 Tips for Designing an Affiliate Website 01:00:00 How to Use WordPress for your Website 01:30:00 Top 14 Reasons to Create a Blog 00:30:00 Tips for Designing a Successful Blog 00:30:00 More Tips Ahead 00:30:00 PHP Programming Welcome to the world of programming! 00:30:00 Getting Started 01:00:00 Let's Start Coding! 01:00:00 PHP Strings 01:00:00 PHP Variables 01:00:00 Useful Variables 00:30:00 PHP Includes & Problem Solving 01:00:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:30:00 Multiple Conditions 01:00:00 PHP Arrays 01:00:00 PHP Loops 01:00:00 Note on PHP Math Functions: 00:30:00 Functions 01:00:00 PHP Sessions 00:30:00 Cookies 01:00:00 Introduction to MySQL 01:00:00 Making The Connection 01:00:00 Inserting Data 01:00:00 Deleting / Removing Data 00:15:00 Using Joomla INTRODUCTION TO JOOMLA 00:30:00 SCOPE OF JOOMLA 00:30:00 BENEFITS OF JOOMLA 00:30:00 COMPARISON WITH OTHER CONTENT MANAGEMENT SYSTEMS 01:00:00 WHY DEVELOPERS DRAWS TO JOOMLA? 00:30:00 How do I in install Joomla? 03:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Web Development Complete Course 00:30:00 Final Exam Final Exam- Web Development Complete Course 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Getting Started The OTHM Level 5 Extended Diploma in Information Technology, aims to offer learners a strong groundwork for a career across various organisations. This program prepares each learner to be 'business ready,' possessing confidence, independent thinking abilities, a comprehensive understanding of Information Technology, and the aptitude to adapt to evolving circumstances swiftly. Certainly, here are the key points: - This qualification suits individuals either embarking on or contemplating a private or public sector business career. - Attaining the Level 5 Diploma in Information Technology opens up avenues for further educational pursuits or employment opportunities. Key Benefits Comprehend methods and strategies for protecting against cyber security threats and vulnerabilities. Acquire the capability to develop a software program that addresses a problem using object-oriented programming principles. Acquire the ability to create a system design utilising modelling techniques. Acquire the capability to develop a website or mobile application that meets client and user requirements. Develop the ability to assist and resolve computing issues and problems effectively. Comprehend the compliance requirements and regulations associated with digital information. Key Highlights Are you worried about the recent changes in the IT sector? Then, OTHM Level 5 Extended Diploma in Information Technology is the ideal starting point for your career journey. The course will ensure access to the first-class education needed to achieve your goals and dreams and maximise 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 OTHM-approved 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 After completing a Level 5 Extended Diploma in Information Technology, individuals can explore various career opportunities in the legal field and related professions. Here are some potential career paths:  Software Developer with an average salary of £46,384 per year Cyber security Analyst with an average salary of £49,002 per year Database Administrator, with an average salary of £41,063 per year IT Support Specialist with an average salary of £33,824 per year. About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. 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 Assignment-based assessment (Formative and Summative) No exam Entry Requirements These qualifications are intended for learners typically 18 years and older. Learners' entry profiles are expected to encompass at least one of the following criteria:  A relevant Level 3 Diploma qualification or its equivalent credential. Completion of GCE Advanced level courses in 2 subjects or an equivalent qualification. Mature learners aged over 21 with pertinent management experience (prior experience verification required from the delivery centre before registration) International students whose first language is not English must score 5.5 or above in IELTS (International English Language Testing System).   Progression Successful completion of the OTHM Level 5 Extended Diploma in Information Technology provides learners the opportunity to: Option for OTHM Level 6 Extended Diploma in Information Technology or Learners may be eligible to gain direct entry into the final year of a three-year UK Bachelor's degree. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits 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- CYBER SECURITY Reference No : D/650/3383 Credit : 20 || TQT : 200 In this unit, learners will acquire foundational knowledge about cyber security, including its historical evolution, legal and regulatory aspects, risk assessment and management, and its repercussions on individuals and organisations. Additionally, learners will gain insights into methods for safeguarding against cyber threats and how to respond to a cyber security breach effectively. UNIT2- PRINCIPLES OF COMPUTER PROGRAMMING Reference No : F/650/3384 Credit : 20 || TQT : 200 This unit aims to provide learners with a foundational comprehension of object-oriented programming languages and the ability to create efficient code. Additionally, it offers learners insight into software development and fundamental principles of algorithms. UNIT3- SYSTEMS ANALYSIS AND DESIGN Reference No : F/617/2266 Credit : 20 || TQT : 200 This unit aims to cultivate learners' understanding of system analysis and design within an organisational context. This unit introduces learners to various techniques employed in systems analysis and design and the methodologies utilised in system development. UNIT4- WEB AND MOBILE APPLICATIONS Reference No : H/650/3385 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge about contemporary web and mobile application design technology, along with the practices and tools commonly employed in this field. Learners will gain the skills needed to develop websites or mobile applications according to the provided design specifications. UNIT5- COMPUTER AND NETWORK TECHNOLOGY Reference No : L/617/2268 Credit : 20 || TQT : 200 This unit offers learners an insight into the fundamental concepts of computer networking and cloud technologies, including their operational principles, protocols, standards, security aspects, and associated prototypes. Learners will delve into various hardware and software alternatives and gain proficiency in configuring and installing these technologies. UNIT6- MANAGING DIGITAL INFORMATION Reference No : J/650/3386 Credit : 20 || TQT : 200 This unit aims to demonstrate how communication, knowledge, and information can be enhanced within an organisation, including optimising the utilisation of IT systems. UNIT7- SOFTWARE ENGINEERING Reference No : K/617/2276 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of software development, its evolution as an engineering discipline, and the ability to develop, maintain, and enhance high-quality software systems. UNIT8- DATABASE SYSTEMS Reference No : H/617/2275 Credit : 20 || TQT : 200 This unit aims to equip learners with knowledge in the development of database systems and to facilitate the development of robust skills in database design and development. UNIT9- ADVANCED SYSTEMS ANALYSIS & DESIGN Reference No : D/617/2274 Credit : 20 || TQT : 200 This unit aims to impart a comprehensive understanding of the roles of systems analysts and designers and enable learners to apply contemporary techniques associated with these roles. UNIT10- MANAGEMENT INFORMATION SYSTEMS Reference No : Y/617/2273 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of how organisations utilise information to create, implement, maintain, and oversee secure information systems that facilitate their operations. This unit explores how systems can support essential business functions and empower organisations to enhance productivity and competitiveness in the global marketplace. UNIT11- NETWORK INFORMATION SYSTEMS Reference No : R/617/2272 Credit : 20 || TQT : 200 This unit aims to foster learners' understanding and proficiency in the planning, configuration, establishment, and administration of various network types, including LANs, PANs, MANs, and WANs. Additionally, it aims to cultivate skills in network monitoring and impart knowledge about Network Security, network protocols, and industry standards. UNIT12- IT PROJECT MANAGEMENT Reference No : L/617/2271 Credit : 20 || TQT : 200 This unit aims to cultivate learners' competencies in overseeing Information Technology projects aimed at implementing systems or effecting organisational change. 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.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today! Study methodOnline Duration12months · Self-paced Access to content5 years CertificationsCompTIA IT Fundamentals CertificationPearson IT Specialist HTML5 Application DevelopmentPearson IT Specialist HTML and CSSPearson IT Specialist PythonPearson IT Specialist AI (Artificial Intelligence)Pearson IT Specialist DatabasesPearson IT Specialist JavaScript Additional info Exam(s) / assessment(s) is included in price Tutor is available to students TOTUM card included in price Job guarantee programme is included in this course Overview Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly. Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies. Certifications CompTIA IT Fundamentals Certification Awarded by CompTIA Pearson IT Specialist HTML5 Application Development Pearson IT Specialist HTML and CSS Pearson IT Specialist Python Pearson IT Specialist AI (Artificial Intelligence) Pearson IT Specialist Databases Pearson IT Specialist JavaScript Awarded by Pearson Description With a national shortage of Full Stack Developers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Full Stack Developer Programme. What you can expect from our Fast Track Programme: World Class Education Energetic and unlimited 24/7 Student Support Real, tangible Career Outcomes 5 Years Career Support and Course Access What our programme includes: Foundation Awards CompTIA ITF+ (IT Fundamentals) Industry Recognised Qualifications Pearson IT Specialist HTML5 Application Development Pearson IT Specialist HTML and CSS Pearson IT Specialist JavaScript Pearson IT Specialist Python Pearson IT Specialist AI (Artificial Intelligence) Pearson IT Specialist Databases Exams Includes all Exams and Unlimited Re-Sits 5 Years Career Support Guarantee As part of our unique Support Guarantee, our Career Support Team will assist you with: CV writing Expert careers advice Interview preparation Identifying and applying for the best opportunities in your area As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career. Who is this course for? This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience. Requirements This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed. Career path Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K). Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.

In the fast-paced world of data science and machine learning, you have to stay up-to-date and keep ahead of the competition. For this, you have to constantly be on the lookout for the latest trends in tools and techniques for data science and machine learning. You don't want to miss out on the latest trend and the tool of the future! Right now, that tool is the Julia programming language. It's the hot new language that all ML and data science experts are very excited about. Learning Julia will open up several doors for you in your career!

Introducing the 'Python Programming Bible | Networking, GUI, Email, XML, CGI' - your comprehensive, all-in-one resource for mastering Python! Are you an aspiring developer looking to dive into the ocean of Python programming or a seasoned coder seeking to level up your Python game? Look no further! Our course is expertly designed to take you from the basics to the complexities of Python, including Networking, GUI, Email, XML, and CGI. If you've ever dreamt of not just learning Python but truly mastering it, this is the course for you. This program is designed to provide a solid foundation and sharpen your skills in one of the most in-demand programming languages, while also introducing you to its many applications. This course starts with the basics of Python, providing a gentle yet thorough introduction and setup that caters to beginners as well as those looking to refresh their Python knowledge. As we study deeper into the heart of Python, we dive into objects, classes, and the power of regular expressions. But it doesn't stop there! You'll also become comfortable with concepts like CGI programming, which is an important building block for creating dynamic web pages. Navigating from core programming, we transition into the intricacies of managing databases and executing multithreading in Python. You'll gain the confidence to handle complex data management tasks, understand how Python interacts with databases, and efficiently manages multiple tasks simultaneously. The XML section allows you to get hands-on with parsing, data extraction, and manipulation, while the GUI section unveils the art of creating beautiful, user-friendly interfaces using Python. The course is enriched with a diverse set of resources, including real-world projects, quizzes, and interactive coding exercises. This is more than just a course, it's your passport to a new realm of opportunities, unlocking a world where Python programming is your strength, not just a skill.  So whether you're a student aiming to get a head start on your peers, a professional looking to diversify your skills, or an enthusiast wanting to dive deeper into the Python universe, the Python Programming Bible is the starting point for your journey to becoming a Python expert. Enrol today and step into a future of endless opportunities with Python! Learning Outcomes: Upon completion of the Python Programming Bible course, you should be able to: Understand and implement Python basics and advanced concepts. Build object-oriented programs with Python. Utilise regular expressions for pattern-matching tasks. Develop dynamic web pages using CGI programming. Interact with databases efficiently using Python. Apply multithreading for better utilisation of resources. Process and manipulate data using XML in Python. Design and create user-friendly GUIs with Python. Who is this course for? This Python Programming Bible course is ideal for the following: Beginners aiming to learn Python from scratch. Professionals looking to broaden their programming skills. Students pursuing a degree in Computer Science. Web developers looking to integrate Python into their toolkit. Data enthusiasts aiming to handle data with Python. Career Path: This Python Programming Bible course will help you to develop your knowledge and skills to pursue different careers, such as: Python Developer: (£35,000 - £70,000). Data Analyst: (£27,000 - £55,000). Web Developer: (£24,000 - £60,000). Data Scientist: (£45,000 - £90,000). Machine Learning Engineer: (£50,000 - £90,000). Software Developer: (£30,000 - £70,000). Certification After studying the course materials of the Python Programming Bible | Networking, GUI, Email, XML, CGI there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Prerequisites This Python Programming Bible | Networking, GUI, Email, XML, CGI does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming Bible | Networking, GUI, Email, XML, CGI 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. Course Curriculum Section 01: Introduction & Setup Introduction 00:02:00 Setup on Mac OS X 00:03:00 Setup On Linux/Ubuntu 00:03:00 Setup On Windows 00:03:00 Run Code Online 00:03:00 Section 02: Basics Comments 00:02:00 Variables & Variable Types 00:05:00 Lists 00:04:00 Tuples 00:03:00 Dictionary 00:06:00 Data Type Conversion 00:02:00 Arithmetic Operators 00:05:00 Comparison Operators 00:03:00 Assignment Operators 00:03:00 Bitwise Operators 00:10:00 Logical Operators 00:07:00 Membership Operators 00:02:00 Identity Operators 00:02:00 Operator Precedence 00:03:00 Decision Making 00:09:00 Loops 00:06:00 Loop Control Statements 00:05:00 Numbers 00:05:00 Strings 00:12:00 Lists In Depth 00:05:00 Tuples In Depth 00:06:00 Dictionary In Depth 00:08:00 Date & Time 00:07:00 Functions 00:11:00 Modules 00:05:00 File Inputs & Outputs 00:13:00 Handling Exceptions 00:07:00 Section 03: Classes/Objects Simple Example 00:04:00 Creating Instance Objects 00:01:00 Accessing Attributes 00:04:00 Constructor New & Init Method 00:06:00 Destroying Objects 00:02:00 Class Inheritance 00:04:00 Overriding Methods 00:03:00 Overloading Methods 00:01:00 Overloading Operators 00:04:00 Data Hiding 00:03:00 Section 04: Regular Expressions Match Function 00:05:00 Search Function 00:02:00 Advanced Expressions 00:05:00 Search & Replace 00:03:00 Section 05: CGI Programming Basic CGI Programming 00:08:00 Get Method 00:06:00 Post Method 00:05:00 Cookies 00:05:00 Section 06: Database Setup Database 00:02:00 Connect To Database 00:05:00 Create Table 00:03:00 INSERT Operation 00:04:00 READ Operation 00:06:00 UPDATE Operation 00:02:00 DELETE Operation 00:02:00 Simple Network Example 00:04:00 Simple Client 00:04:00 Section 07: Multithreading Initiate a New Thread 00:07:00 Create Thread 00:06:00 Synchronise Threads 00:03:00 Multithreaded Priority Queue 00:09:00 Section 08: XML Parse an XML File 00:10:00 Section 09: GUI Introduction 00:02:00 Button Preview 00:03:00 Canvas 00:04:00 Checkbutton 00:02:00 Entry 00:02:00 Frame 00:04:00 Label 00:02:00 List Box 00:02:00 Menu button 00:03:00 Menu 00:08:00 Message 00:02:00 Radio button 00:05:00 Scale 00:03:00 Scrollbar 00:04:00 Text 00:03:00 Top-level 00:02:00 Spinbox 00:02:00 Paned Window 00:03:00 Message Box 00:02:00 Label Frame 00:02:00 Section 10: Resource Resource 00:00:00 Assignment Assignment - Python Programming Bible | Networking, GUI, Email, XML, CGI 00:00:00

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.

Blockchain revolutionizes industries, offering decentralized, secure digital asset storage and transfer. This course explores fundamental blockchain and Web3 concepts-architecture, consensus, and benefits. Delve into blockchain economics, crucial for understanding network incentives and sustainability.

Course Overview Discover how to program and create applications from the very beginning, even if you have no computer language knowledge, with this enlightening training on C++ for Non-Programmers. C++ is the industry-standard programming language that utilises speed and memory management to make technical magic happen. With the advantage of this tuition, you will be able to fully enter the world of programming and make yourself a valuable commodity for a client or company. This C++ Programming tutorial contains 30 sections of IT expertise with expertly presented lessons. As a result, you will come to understand the basic requirements of both programming and coding on modern platforms. The total learning curve is presented here for you, from creating your first project to using Polymorphism to make an application stand out when compared to others. This introductory learning experience is modelled for the absolute beginner with no prior coding knowledge and is the perfect first step on a new and exciting career ladder in IT. This best selling C++ for Non-Programmers has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth C++ for Non-Programmers is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The C++ for Non-Programmers is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The C++ for Non-Programmers is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the C++ for Non-Programmers, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the C++ for Non-Programmers will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the C++ for Non-Programmers to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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