4102 Software courses in Coventry delivered On Demand

This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

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

Are you looking to improve your current abilities or make a career move? Our unique C# (C-Sharp) Course might help you get there! Expand your expertise with high-quality training - study the C# (C-Sharp) and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course. This C# (C-Sharp) online training course is accredited by CPD with 15 CPD points for professional development. Students can expect to complete this training course in around 13 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. The C# (C-Sharp) course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the C# (C-Sharp) course, you will receive an instant e-certificate as proof of comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. With this comprehensive C# (C-Sharp) course, you can achieve your dreams and train for your ideal career. The C# (C-Sharp) course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling in the C# (C-Sharp) course will ensure that you land your dream career faster than you thought possible. Stand out from the crowd and train for the job you want with the program. Learning Outcomes of C# (C-Sharp): Instant access to verified and reliable information Participation in inventive and interactive training exercises Quick assessment and guidance for all subjects CPD accreditation for proof of acquired skills and knowledge Freedom to study in any location and at a pace that suits you Expert support from dedicated tutors committed to online learning Why Prefer this C# (C-Sharp) Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the C# (C-Sharp) course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! ****Course Curriculum**** Here is the curriculum breakdown of this C# (C-Sharp) course: >> C# (C-Sharp) Course << Module 1: Introduction Module 2: Development Environment Setup Module 3: C# Console Programming - Basic Control Structures Module 4: C# Console Programming - More Advanced Concepts Module 5: WinForms Applications - The Basics Module 6: Multi-Document Interface (MDI) and More Database Operations Module 7: Managing Database Changes and CRUD Operations Module 8: User Management and Login Functionality Assessment Process Once you have completed all the modules in the C# (C-Sharp) course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

This course begins with a comprehensive introduction to RFID technology, focusing on both low and high-frequency cards. You'll explore the Proxmark3 RDV4 device, a powerful RFID testing tool, learning its installation and implementation to understand how RFID systems can be ethically analysed and tested.

Introduce kids and beginners to the world of web development with our HTML and CSS Coding Course. Learn the fundamentals of coding through fun and interactive lessons. Build foundational skills in HTML for creating web content and CSS for styling websites. Whether you're a young learner or new to coding, this course provides a friendly and engaging introduction to building web pages from scratch.

Register on the Machine Learning in Flutter today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Machine Learning in Flutter course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Machine Learning in Flutter Course Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Machine Learning in Flutter course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Overview This comprehensive course on Bootstrap 5 Masterclass will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Bootstrap 5 Masterclass comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Bootstrap 5 Masterclass. It is available to all students, of all academic backgrounds. Requirements Our Bootstrap 5 Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 9 sections • 78 lectures • 06:05:00 total length •Introduction To This Course: 00:02:00 •Changes From Bootstrap 4 and Bootstrap 5: 00:05:00 •Bootstrap 5 Browser Compatibility: 00:02:00 •Setup Bootstrap 5: 00:08:00 •Grid System Introduction: 00:05:00 •All Grid Sizes: 00:07:00 •Single Column Width: 00:05:00 •Variable Width Content: 00:02:00 •Offsetting Columns: 00:02:00 •Reordering Columns: 00:03:00 •Column Breaks: 00:02:00 •Column Wrapping: 00:02:00 •Vertical Alignment: 00:03:00 •Horizontal Alignment: 00:02:00 •Margin Utilities: 00:02:00 •Multiple Rows: 00:03:00 •Nesting Rows and Columns: 00:03:00 •Gutters: 00:03:00 •Responsive Containers: 00:03:00 •Fluid Containers: 00:01:00 •Alerts: 00:14:00 •Badge: 00:04:00 •Breadcrumb: 00:03:00 •Buttons: 00:11:00 •Button Group: 00:06:00 •Card: 00:06:00 •Card Masonry Layout: 00:04:00 •Carousel: 00:13:00 •Close Button: 00:02:00 •Collapse: 00:05:00 •Collapse Accordion Style: 00:10:00 •Dropdowns: 00:10:00 •List Group: 00:05:00 •Modal: 00:09:00 •Navs: 00:05:00 •Navbar: 00:15:00 •Pagination: 00:05:00 •Popovers: 00:06:00 •Progress: 00:04:00 •Scrollspy: 00:14:00 •Spinners: 00:05:00 •Toasts: 00:10:00 •Tooltips: 00:04:00 •Form Control: 00:07:00 •Select: 00:03:00 •Checks: 00:08:00 •File: 00:03:00 •Range: 00:04:00 •Input Groups: 00:04:00 •Layout: 00:05:00 •Validation: 00:08:00 •Clearfix: 00:04:00 •Colored Links: 00:02:00 •Embed: 00:03:00 •Position: 00:04:00 •Screen Readers: 00:03:00 •Stretched Link: 00:02:00 •Text Truncation: 00:03:00 •Borders: 00:02:00 •Colors: 00:03:00 •Display Property: 00:04:00 •Flex: 00:03:00 •Float: 00:03:00 •Interactions: 00:04:00 •Overflow: 00:03:00 •Position: 00:05:00 •Shadows: 00:02:00 •Sizing: 00:03:00 •Spacing: 00:04:00 •Text: 00:10:00 •Vertical Align: 00:03:00 •Visibility: 00:02:00 •Typography: 00:04:00 •Tables: 00:06:00 •Images: 00:04:00 •Figures: 00:02:00 •Resource: 00:00:00 •Assignment - Bootstrap 5 Masterclass: 00:00:00

Overview This comprehensive course on Video Game Design Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Video Game Design Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Video Game Design Course. It is available to all students, of all academic backgrounds. Requirements Our Video Game Design Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 3 sections • 14 lectures • 02:49:00 total length •The first question to ask: 00:02:00 •My game logo design process: 00:03:00 •The importance of sketching: 00:03:00 •Simple racing game logo design: 00:12:00 •Simple horror game logo design: 00:17:00 •Simple logo for a puzzle game: 00:18:00 •Cute cartoon game logo design - Part 1: 00:13:00 •Cute cartoon game logo design - Part 2: 00:18:00 •Design a sci-fi logo using negative space - Part 1: 00:08:00 •Design a sci-fi logo using negative space - Part 2: 00:16:00 •Cartoon fantasy RPG game logo design -Part 1: 00:15:00 •Cartoon fantasy RPG game logo design -Part 2: 00:14:00 •Grunge zombie shooter game logo design - Part 1: 00:11:00 •Grunge zombie shooter game logo design - Part 2: 00:19:00

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00