413 Programmer courses in Coventry delivered On Demand

Course Overview The demand for iOS apps is increasing every day. If you want to build your career as an app developer or programmer, learning iOS app development will be a smart choice for you. Learn how to create iOS apps using Swift 5 from this Build your first iOS 14 apps using swift 5 course and take your first step to be a pro developer. This course will help you understand Swift coding and solve your problems with app development. In this Build your first iOS 14 apps using swift 5 course, you will learn about the functions of Swift programming, variables and types, operations, collections, flow control, classes and inheritance. You will be able to create your first iOS app using swift 5 and enhance your skill to start your career as an iOS app developer.  This course will help you understand the app development process step by step with easily understandable bite-sized lessons.  Learning Outcomes Get a clear understanding of the fundamentals of iOS and Swift development Learn iOS development programming from scratch Be able to operate Swift 5 Learn the functions of Swift 5 Learn what you should consider before making an iOS app Gain the skills to be an efficient app developer Who is this course for? This course is designed for you to learn how to design iOS applications using swift 5. Anyone interested in app development can learn effective app development skills from this course 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. Certification After you have successfully completed the course, 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 Build your first iOS 14 apps using swift 5 is a useful qualification to possess and would be beneficial for any related profession or industry such as: Ios Developers Programmers Designers Unit 01: Introduction Module 01: Setup 00:02:00 Module 01: A Quick Reminder 00:01:00 Unit 02: Variables and Types in Swift Programming Module 01: Variables Strings and Constants in Swift 00:08:00 Module 02: Solution - Variables Strings and Constants in Swift 00:01:00 Module 03: Variables and Numbers in Swift 00:07:00 Module 04: Solution - Variables and Numbers in Swift 00:01:00 Module 05: Type conversions in Swift - Danger Will Robinson 00:05:00 Module 06: Solution - Type conversions in Swift - Danger Will Robinson 00:02:00 Module 07: Tuple Types in Swift 00:05:00 Module 08: Solution - Tuple Types in Swift 00:02:00 Unit 03: Optionals in Swift and the Null Problem Module 01: Optionals Nulls and Variables in Swift 00:05:00 Module 02: Solution - Optionals Nulls and Variables in Swift 00:01:00 Unit 04: Operators in Swift Module 01: Operators in Swift - Assignment Arithmetic and Concatenation 00:04:00 Module 02: Solution - Operators in Swift - Assignment Arithmetic and Concatenation 00:01:00 Module 03: Operators in Swift - Unary Compound Logic and Comparison 00:04:00 Unit 05: Collections in Swift Module 01: Collections in Swift - Arrays 00:05:00 Module 02: Solution - Collections in Swift - Arrays 00:02:00 Module 03: Collections in Swift - Sets 00:06:00 Module 04: Collections in Swift - Dictionaries 00:05:00 Module 05: Solution - Collections in Swift - Dictionaries 00:03:00 Unit 06: Flow Control in Swift Module 01: Controlling Flow in Swift - for in loops 00:08:00 Module 02: Solution - Controlling Flow in Swift - for in loops 00:03:00 Module 03: Controlling Flow in Swift - While loops 00:04:00 Module 04: Solution - Controlling Flow in Swift - While loops 00:02:00 Unit 07: Conditional Statements in Swift Module 01: Conditional Statements in Swift - If Else 00:04:00 Module 02: Solution - Conditional Statements in Swift - If Else 00:02:00 Module 03: Conditional Statements in Swift - Switch Case 00:04:00 Module 04: Solution - Conditional Statements in Swift - Switch Case 00:02:00 Unit 08: Control Transfer in Swift Module 01: Control Transfer in Swift - continue break fallthrough return throw 00:06:00 Unit 09: Functions in Swift Module 01: Functions in Swift 00:10:00 Module 02: Solution - Functions in Swift 00:03:00 Module 03: Nested Functions in Swift 00:04:00 Module 04: Solution - Nested Functions in Swift 00:03:00 Unit 10: Enumerations in Swift Module 01: Enumerations in Swift 00:05:00 Module 02: Solution - Enumerations in Swift 00:01:00 Unit 11: Classes and Inheritance in Swift Module 01: Classes in Swift 00:05:00 Module 02: Solution 1 - Classes in Swift 00:02:00 Module 03: Solution 2 - Classes in Swift 00:02:00 Module 04: Inheritance in Swift 00:07:00 Module 05: Solution - Inheritance in Swift 00:04:00 Unit 12: Your First iOS App Module 01: Your First iOS App and Familiarisation 00:05:00 Module 02: The Key iOS Project Files 00:06:00 Module 03: How to Implement a Button in the User Interface 00:05:00 Module 04: How to Connect a Button to Code in Xcode 00:05:00 Module 05: Writing Code to Change a Views Appearance and a TASK 00:02:00 Module 06: Solution to the Task and If Else View Colors 00:07:00 Unit 13: Temperature Conversion App - iOS Layouts Positioning and Buttons Module 01: A Preview of the App We Will Build 00:01:00 Module 02: Create the App and Its User Interface 00:02:00 Module 03: iOS Layouts and Positioning 00:10:00 Module 04: Connecting UI Elements to Code 00:05:00 Module 05: Converting Temperature via Button Click 00:06:00 Module 06: Adding a Bit of Excellence to the UI and a Task for You 00:06:00 Module 07: Task Solution - Adding a Conversions Counter Label 00:07:00 Unit 14: Gods App - Navigation Table Views and Data Passing Module 01: What we are Building 00:02:00 Module 02: Creating the GreekGod Data Model 00:06:00 Module 03: Navigation Controllers in iOS 00:06:00 Module 04: Creating Fake Gods 00:04:00 Module 05: How to Set Up a Table View and Its Controller 00:11:00 Module 06: Task Solution - How to Fix the Table View 00:04:00 Module 07: How to Navigate from Table View to New View in iOS 00:04:00 Module 08: Create a View Controller for the Detail View 00:03:00 Module 09: Passing Data from Table View to View Controller 00:04:00 Module 10: Setting up a Detail View Controller with Passed Data 00:11:00 Module 11: Using Images and ImageViews in Swift - And a Task 00:04:00 Module 12: Solution to the Task 00:04:00 Unit 15: Will I Burn App - Accessing APIs and Device Hardware - GPS Module 01: Preview of the App We Will Make 00:02:00 Module 02: Structures Instead of Classes 00:05:00 Module 03: How to Request Permissions and Capabilities in iOS 00:04:00 Module 04: Requesting User Permissions in iOS - Part 2 00:09:00 Module 05: Requesting User Permissions in iOS - Part 3 00:07:00 Module 06: Creating a SWEET User Interface 00:09:00 Module 07: Task - Connect the UI to Code 00:01:00 Module 08: Connecting User Interface to Code 00:02:00 Module 09: Action Sheet Alerts in iOS 00:05:00 Module 10: Update a Label and Thoughts on Storage 00:03:00 Module 11: User Defaults Storage in iOS 00:05:00 Module 12: Getting and Setting User Defaults in iOS 00:04:00 Module 13: Getting a Location in Latitude and Longitude in iOS Apps 00:04:00 Module 14: Selecting an API Provider for Your Apps 00:07:00 Module 15: Generating an API Key and Exploring the Docs 00:04:00 Module 16: Create an API Access Class in Swift 00:04:00 Module 17: Using Third Party Libraries in iOS - AlamoFire 00:06:00 Module 18: How to Use AlamoFire in iOS 00:08:00 Module 19: How to Extract JSON Data from an API Call 00:06:00 Module 20: Performing Background Calculations in iOS 00:06:00 Module 21: Performing Background Calculations in iOS - Part 2 00:07:00 Module 22: Activity Indicators in iOS and Swift 00:07:00 Module 23: Local Notifications in iOS 00:06:00 Module 24: Solution to the Task - UI Smoothing 00:05:00 Unit 16: Whatsapp Clone Using Google Firebase Module 01: Preview of What We're Building 00:03:00 Module 02: Should you Choose Firebase or Firestore 00:10:00 Module 03: Create a Firebase Application 00:03:00 Module 04: Installing Firebase in your iOS App 00:09:00 Module 05: Firebase Authentication Options 00:05:00 Module 06: Designing the Auth Screen 00:10:00 Module 07: Connecting UI to Code 00:04:00 Module 08: Showing the Auth Screen 00:11:00 Module 09: Validating User Input for Firebase Authentication 00:08:00 Module 10: Register a User in Firebase 00:05:00 Module 11: Logging in via Firebase 00:06:00 Module 12: Set Activity Indicator to Show Network Processing 00:07:00 Module 13: How to Reset a Firebase User Password 00:11:00 Module 14: How to Prevent Dismissal of a View Controller 00:02:00 Module 15: Setting up a Table View and Cell Manually 00:11:00 Module 16: Connecting a TableView and ViewController Manually 00:05:00 Module 17: Implementing TableView Functions in the ViewController 00:06:00 Module 18: Listening to Firebase Data Streams on iOS 00:09:00 Module 19: Demo with Dummy Data 00:03:00 Module 20: Using a TextField Delegate in iOS 00:03:00 Module 21: Sending Data from iOS to Firebase Database 00:05:00 Module 22: Well Done and a Couple HARD TASKS with NO SOLUTION 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

This video course is designed to prepare you to achieve the internationally recognized fundamental IT training certification, CompTIA Security+ Certification SY0-601 exam. The course covers all the major domains needed for the certification and will help you develop the basics of IT and computers with the help of examples and quizzes.

Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Learn how to build and test APIs and web services, which form the foundation of most software engineer work with the help of this carefully structured beginner's level course. You will be learning all of this in Python, one of the world's most popular and widely used programming languages.

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

This course aims to equip you with the skills to create an operational mobile Instagram app feed using React Native and ChatGPT. Additionally, it offers comprehensive resources to develop a well-rounded project that you can showcase as a prototype upon completion. You will use all the latest and trending tools for application development from scratch.

The Data Science Mini Bundle is your launchpad into the fastest-growing digital field. With employers across tech, finance, healthcare, and beyond desperately seeking data-savvy minds, this bundle gives you the edge with five career-relevant course titles designed for hireability—no fluff, no filler. If you’re looking to secure a data-related role, this is the smart, affordable, and practical way in. From Data Analysis and Python to Mathematics and MS Excel, this bundle turns your potential into an application-ready CV. Description Data science isn’t optional anymore—it’s essential. And with the Data Science Mini Bundle, you’re not just learning—you’re aligning yourself with what today’s employers are looking for. Data Analysis is now a default requirement in finance, marketing, tech, and even HR. Add MS Excel, and you’re covering one of the most-requested tools in digital job descriptions. Python is one of the top programming languages for data and automation—and it’s a golden keyword on any tech-focused resume. Combine it with Mathematics and you show not just programming ability, but also analytical depth. MS Word wraps it up by showing you can communicate your findings clearly, making your insights useful to teams and decision-makers. Every keyword in this bundle—Data Analysis, MS Excel, Python, Mathematics, MS Word—represents a skill with high employment value. You’re not buying lessons; you’re building a future-proof career profile. FAQ Q: Will this help me get a job in tech or data science? A: Yes. Data Analysis, Python, and MS Excel are industry-standard requirements. Q: I’m not a programmer. Is this still for me? A: Definitely. You don’t need to be a full-time coder to benefit from Python and Mathematics. Q: Can I use these skills in non-tech fields? A: Yes. Data Analysis and MS Word are essential across nearly all sectors. Q: Is this suitable for beginners? A: Yes. It's structured to make complex topics accessible. Q: Will I get lifetime access? A: Absolutely. Learn when and how it suits you. Q: Why choose this bundle over others? A: Because it gives you five high-demand keywords on your CV, for one low price.

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

The Complete AutoLISP Programming Online Course teaches you how to use AutoLISP to customise AutoCAD. It breaks down the rules, commands, and logic needed to write smart scripts and automate tasks in AutoCAD. You’ll learn through clear lessons and hands-on projects, making the process easy even if you’re new to programming. By the end, you’ll be able to write your own AutoLISP programs and speed up your design workflow. Course Curriculum ✓ Unit 01: Introduction ✓ Unit 02: Quick Win Demo ✓ Unit 03: AutoLISP Rules ✓ Unit 04: AutoLISP Variables ✓ Unit 05: AutoLISP Math Functions ✓ Unit 06: AutoLISP's List Functions ✓ Unit 07: AutoLISP's User Input Functions ✓ Unit 08: Object Handling Functions ✓ Unit 09: AutoLISP's Selection Sets ✓ Unit 10: Conditionals and Equality Functions ✓ Unit 11: AutoCAD Objects - Data Model ✓ Unit 12: Symbol Table and Dictionary Handling Functions ✓ Unit 13: Hands-On Projects ✓ Unit 14: Conclusion Learning Outcomes Understand how AutoLISP works in AutoCAD. Use variables and functions in AutoLISP. Perform maths operations using AutoLISP. Work with lists to handle multiple values. Get and process user input through code. Handle objects and selection sets in drawings. Use conditionals to add logic to your code. Access and edit AutoCAD data models. Use symbol tables and dictionaries. Build and test real-world AutoLISP projects. Who is this course for? This course is for AutoCAD users, drafters, and design professionals who want to automate tasks and save time. It's also great for students and engineers who want to add coding to their skillset in a simple and direct way. Eligibility Requirements You should have basic AutoCAD knowledge. No coding experience is needed—this course teaches everything step by step. Career Path After completing this course, you can work as a CAD Programmer, AutoCAD Customisation Specialist, CAD Technician, or Technical Drafter. These roles often need people who can build scripts and tools to boost design productivity. (Learn more about this online course)

This course aims to teach the programming language C++ with an emphasis on the modern features introduced in C++17. The course will cover both old and new concepts in C++, including classes, operator overloading, inheritance, polymorphism, templates, and concurrency. By the end of the course, the students will have gained the knowledge needed to become proficient C++ developers.