2409 Programming courses delivered Online

In today's data-driven world, 82% of businesses demand Data Science professionals - and they're willing to pay for it! With average global salaries of Data Scientists and Machine Learning experts surpassing $120,000 annually, it's clear: the future belongs to those who understand data. Our Advanced Diploma in Data Science & Machine Learning - Level 7 is meticulously designed to offer profound knowledge and skills . This Data Science & Machine Learning bundle encompasses a comprehensive selection, from the nuances of Statistics & Probability to the intriguing applications of Machine Learning in Flutter. Also, this comprehensive Data Science & Machine Learning bundle ensures you're well-equipped with the essential knowledge required in today's competitive global market. By opting for this Data Science & Machine Learning advanced diploma, you're not just learning - you're investing in a future filled with opportunities, lucrative incomes, and immense professional demand globally. Data Science & Machine Learning Course Learning Outcomes Grasp the fundamentals of Statistics & Probability. Acquire proficiency in Python for Data Science. Understand R programming in data analytics context. Dive deep into MySQL and its applications in Data Science. Master SQL techniques for Data Visualization and Analytics. Lay a strong foundation in basic machine learning concepts. Navigate through Azure Machine Learning and its utilities. This Data Science & Machine Learning bundle course, however, is designed to be your compass, guiding you through the intricacies of the most pivotal topics. With the Advanced Diploma, you delve deep into the mathematical bedrock of data science through Statistics & Probability. Python and R, the stalwarts of data programming, are unravelled, offering insights into their unique capabilities. SQL's unmatched prowess in data visualisation and analytics is highlighted, while Azure provides a window into the world of cloud-based machine learning. Lastly, understand the synergy of machine learning and mobile applications through Flutter. The benefits? A holistic understanding, positioning you ahead in the academic sphere and offering a competitive edge should you venture into research or further studies. Courses in this Data Science & Machine Learning bundle: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Data Science & Machine Learning with Python R Programming for Data Science Learn MySQL from Scratch for Data Science and Analytics SQL for Data Science, Data Analytics and Data Visualization Machine Learning Basics "Azure Machine Learning" Machine Learning use in Flutter, The Complete Guide Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Data Science & Machine Learning course as proof of their achievement. You can order the endorsed certificate for only £129 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this Data Science & Machine Learning course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the Data Science & Machine Learning course has been reviewed and approved by the QLS and meets the highest quality standards. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Machine Learning bundle is ideal for: Aspiring Data Scientists. Statisticians looking to expand into Machine Learning. Developers keen on integrating Machine Learning in apps. Research scholars in data-driven fields. Requirements To enrol in this Data Science & Machine Learning course, all you need is a basic understanding of the English Language and an internet connection. Career path Data Scientist Machine Learning Engineer Data Analyst SQL Database Administrator Research Scientist (Data Specialization) Flutter Developer with ML Integration Certificates 8 CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: £3.99 Outside the UK: £9.99 QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: Free Outside the UK: £9.99 Other CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 Free Courses Hard Copy Certificates Are £9.99 Each. Delivery Charge: Inside the UK: Free Outside the UK: £9.99

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

The rationale for this fast track Level 4 Diploma in IT - E-Commerce qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the fast track Level 4 Diploma in IT - E-Commerce qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in IT - E-commerce (Fast Track) qualification are: Program Duration: 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - E-commerce (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology or E-Commerce. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, Combined Level 5 + Level 6 Diploma in Information Technology , Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge

This Diploma in Information Technology - Level 4 (Fast Track) rationale for the qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. Diploma in Information Technology - Level 4 (Fast Track) technical skills and knowledge delivered through the successful achievement of the qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Diploma in Information Technology - Level 4 (Fast Track) qualification are: Program Duration: Fast Track 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Diploma in Information Technology - Level 4 (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR A Level 3 qualification in another discipline and want to develop their careers in business and entrepreneurship. Career path Learners after completing of this course progress to: Combined Level 5 + Level 6 Diploma in Information Technology , BSc (Hons) in Business Computing and Information Systems degree, Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

The rationale for the fast track Level 4 Diploma in IT - Networking qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of this fast track Level 4 Diploma in IT - Networking qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Fast Track Level 4 Diploma in IT - Networking qualification are: Program Duration: Fast Track 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - Networking (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology or networking. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, Combined Level 5 + level 6 Diploma in Information Technology , Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge

The rationale for this fast track Level 4 Diploma in IT - Web Design qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the fast track Level 4 Diploma in IT - Web Design qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in Information Technology - Web Design (Fast Track) qualification are: Program Duration: 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - Web Design (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology and web design. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, or Combined Level 5 + Level 6 Diploma in Information Technology , or Combined Level 4 + Level 5 Diploma in Cyber Security, or Level 5 Diploma in Information Technology (Fast Track Mode), or The Second year of Undergraduate study, or Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

This course brings together all the important topics related to modern distributed applications and systems in one place. Explore the common challenges that appear while designing and implementing large-scale distributed systems, and how big-tech companies solve those problems. Throughout the course, we are going to build a distributed URL shortening service.

This course will help you master Spring, Spring Boot, Spring Modules - JDBC, AOP, and Data JPA through a hands-on, step-by-step approach. You will also be introduced to unit testing with JUnit and Mockito and learn how to communicate with the database using the Spring framework.

Diploma in Python Programming Course Overview The Diploma in Python Programming offers an in-depth exploration of Python, one of the most versatile and in-demand programming languages. This course is designed to provide learners with a strong foundation in Python, covering essential concepts such as data structures, functions, libraries, and file handling. Learners will gain the skills necessary to write Python code to solve real-world problems, enabling them to create applications, automate tasks, and perform data analysis. By the end of the course, learners will have the practical knowledge to use Python effectively for various programming tasks in both professional and personal settings. Course Description This comprehensive course begins with the basics of Python programming, guiding learners through essential concepts such as syntax, data types, and conditional statements. Learners will progress to more advanced topics, including file handling, data storage structures, and error handling. Key modules like the creation of user functions, working with external libraries, and implementing Python in database management provide valuable skills that can be directly applied in the workplace. This course also covers essential tools such as command prompt usage, Jupyter notebooks, and package management in Python. By the end of the course, learners will have developed the confidence and competence to apply Python across various domains, including software development, data analysis, and system automation. Diploma in Python Programming Curriculum Module 01: Introduction to Python Programming Module 02: Getting Started with Python Module 03: Conditional Branching with Python Module 04: Importing External/Internal Library in Python Module 05: Project Rock Paper and Scissors Module 06: Strings Operation in Python Module 07: Date and Time in Python Module 08: File Handling, Read and Write Using Python Module 09: Data Storage Structures: Tuple, List, and Dictionary Module 10: Writing User Functions in Python Module 11: Sending Mail Module 12: Import Tricks in Python Module 13: Import Operating System and Platform Module 14: Exceptions Handling in Python Module 15: Installing Packages and Scheduling in Python Module 16: Database in Python Using SQLite Module 17: Running Programs from Command Prompt and Jupyter Notebook Module 18: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop a foundational understanding of Python programming. Professionals aiming to enhance their programming skills for career advancement. Beginners with an interest in software development, data analysis, or automation. Anyone looking to pursue a career in programming or technology. Career Path Software Developer Data Analyst Automation Engineer Python Programmer Database Administrator IT Specialist

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer