4317 Software courses in Bradford delivered On Demand

🚀 AI & Project Management Masterclass 🚀 Curious about AI in project management but not sure where to start? This fun, no-nonsense masterclass, led by Nadege Minois, will guide you through 7 key questions to ask before diving into AI. Learn how to integrate AI smoothly, avoid common pitfalls, and understand the ethics of using it in your projects—all without needing to code! Perfect for project managers ready for the future. 💡 Ready to level up? Join us and find out if AI is the game-changer your projects need! 👉 Book your spot now!

Discover the art of modern web design with our comprehensive course on HTML5, CSS3, and Bootstrap. Learn the latest techniques to create visually stunning and responsive websites. Master the essential tools and frameworks used by industry professionals to bring your web design skills to the next level. Enroll now for a hands-on learning experience that blends theory with practical application in the dynamic world of web development.

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

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

Javascript for Data Structures: Dive into the world of data structures using JavaScript. Learn to implement arrays, linked lists, stacks, queues, trees, and more. Perfect for aspiring developers.

Welcome to a brand-new course, where you can learn how to create modern and beautiful web projects and templates; if you want to develop and customize your portfolio, become an experienced developer, then this is the right course for you. Level-up your HTML, CSS, and JavaScript coding skills with this course.

Are you looking to enhance your Game Development skills? If yes, then you have come to the right place. Our comprehensive course on Game Development will assist you in producing the best possible outcome by mastering the Game Development skills. The Game Development course is for those who want to be successful. In the Game Development course, you will learn the essential knowledge needed to become well versed in Game Development. Our Game Development course starts with the basics of Game Development and gradually progresses towards advanced topics. Therefore, each lesson of this Game Development course is intuitive and easy to understand. Why would you choose the Game Development course from Compliance Central: Lifetime access to Game Development course materials Full tutor support is available from Monday to Friday with the Game Development course Learn Game Development skills at your own pace from the comfort of your home Gain a complete understanding of Game Development course Accessible, informative Game Development learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Game Development Study Game Development in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Game Development Course Game Development Curriculum Breakdown of the Game Development Course Section 01: Introduction Section 02: Basic Building Blocks Section 03: Putting Blocks Together Section 04: Winning Managers Section 05: Creating Basic Game Section 06: Advanced Scratching And Winning Options Section 07: Finishing The Game Section 08: Creating Custom Animation System Section 09: Creating Game Animations Section 10: Building Your Game Section 11: Initial Scratching CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Game Development course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Game Development. It is also great for professionals who are already working in Game Development and want to get promoted at work. Requirements To enrol in this Game Development course, all you need is a basic understanding of the English Language and an internet connection. Career path The Game Development course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Game Development. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Overview This comprehensive course on Kotlin Programming : Android Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin Programming : Android Coding 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 Kotlin Programming : Android Coding. It is available to all students, of all academic backgrounds. Requirements Our Kotlin Programming : Android Coding 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 11 sections • 73 lectures • 05:38:00 total length •Introduction To This Course: 00:02:00 •Windows Setup: 00:13:00 •Mac Setup: 00:10:00 •Linux Setup: 00:12:00 •Online Code Editor: 00:02:00 •Variables: 00:06:00 •Data Types: 00:06:00 •String: 00:05:00 •Array: 00:07:00 •Data Type Conversion: 00:05:00 •Comments: 00:04:00 •Arithmetic Operators: 00:07:00 •Relational Operators: 00:06:00 •Assignment Operators: 00:06:00 •Unary Operators: 00:05:00 •Bitwise Operators: 00:09:00 •Logical Operators: 00:04:00 •Input & Output: 00:03:00 •Conditional if Statement: 00:05:00 •when Statement: 00:07:00 •For Loop: 00:04:00 •while Loop: 00:04:00 •do while Loop: 00:04:00 •Break Statement: 00:04:00 •Continue Statement: 00:04:00 •Basic Functions: 00:03:00 •Function Parameters: 00:04:00 •Return Values: 00:04:00 •Recursion: 00:04:00 •Default & Named Arguments: 00:06:00 •Lambda Function: 00:04:00 •Higher Order Function: 00:05:00 •Inline Function: 00:02:00 •Try Catch Block: 00:04:00 •Try Catch Expression: 00:05:00 •Multiple Catch Block: 00:05:00 •Nested Try Catch Block: 00:05:00 •Finally Block: 00:02:00 •Throw Keyword: 00:02:00 •Nullable & Non Nullable Types: 00:03:00 •Smart Cast: 00:02:00 •Unsafe and Safe Cast: 00:03:00 •Elvis Operator: 00:04:00 •List: listOf Function: 00:06:00 •List: mutableListOf Function: 00:05:00 •List: arrayListOf Function: 00:06:00 •Map: mapOf Function: 00:07:00 •Map: HashMap: 00:08:00 •Map: hashMapOf Function: 00:05:00 •Map: mutableMapOf Function: 00:04:00 •Set: setOf Function: 00:04:00 •Set: mutableSetOf Function: 00:04:00 •Set: HashSet: 00:04:00 •Basic Example: 00:07:00 •Nested and Inner Class: 00:06:00 •Constructors: 00:05:00 •Visibility Modifiers: 00:06:00 •Inheritance: 00:05:00 •Method Overriding: 00:04:00 •Property Overriding: 00:02:00 •Abstract Class: 00:03:00 •Superclass: 00:03:00 •Data Class: 00:05:00 •Multiple Class Inheritance & Interfaces: 00:03:00 •Sealed Class: 00:03:00 •Extension Function: 00:03:00 •Generics: 00:05:00 •Integer Type Range: 00:05:00 •Regex: 00:04:00 •Call Java from Kotlin: 00:03:00 •Call Kotlin from Java: 00:02:00 •Resource: 00:00:00 •Assignment - Kotlin Masterclass Programming Course: Android Coding Bible: 00:00:00

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview This comprehensive course on Bash Scripting, Linux and Shell Programming will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Bash Scripting, Linux and Shell Programming 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 Bash Scripting, Linux and Shell Programming. It is available to all students, of all academic backgrounds. Requirements Our Bash Scripting, Linux and Shell Programming 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 11 sections • 61 lectures • 03:03:00 total length •Introduction: 00:02:00 •Bash vs Shell vs Command Line vs Terminal: 00:06:00 •Listing Folder Contents (ls): 00:05:00 •Print Current Folder (pwd): 00:01:00 •Change Folder (cd): 00:03:00 •Using A Stack To Push Folders (pushd/popd): 00:03:00 •Check File Type (file): 00:01:00 •Find File By Name (locate) & Update Locate Database (updatedb): 00:02:00 •Find A Command (which): 00:02:00 •Show Command History (history): 00:02:00 •Show Manual Descriptions (whatis): 00:01:00 •Search Manual (apropos): 00:02:00 •Reference Manuals (man): 00:02:00 •Creating A Folder (mkdir): 00:02:00 •Creating A File (touch): 00:02:00 •Copy Files/Folders (cp): 00:02:00 •Move & Rename Files/Folders (mv): 00:02:00 •Delete Files/Folders (rm): 00:02:00 •Delete Empty Folder (rmdir): 00:02:00 •Change File Permissions (chmod): 00:06:00 •File Concatenation (cat): 00:03:00 •File Perusal Filter (more/less): 00:02:00 •Terminal Based Text Editor (nano): 00:03:00 •Run Commands As A Superuser (sudo): 00:03:00 •Change User (su): 00:03:00 •Show Effecter User and Group IDs (id): 00:02:00 •Kill A Running Command (ctrl + c): 00:02:00 •Kill All Processes By A Name (killall): 00:02:00 •Logging Out Of Bash (exit): 00:01:00 •Tell Bash That There Is No More Input (ctrl + d): 00:02:00 •Clear The Screen (ctr + l): 00:02:00 •Zoom In (ctrl + +): 00:02:00 •Zoom Out (ctrl + -): 00:02:00 •Moving The Cursor: 00:02:00 •Deleting Text: 00:04:00 •Fixing Typos: 00:03:00 •Cutting and Pasting: 00:03:00 •Character Capitalisation: 00:03:00 •Bash File Structure: 00:03:00 •Echo Command: 00:04:00 •Comments: 00:04:00 •Variables: 00:06:00 •Strings: 00:06:00 •While Loop: 00:04:00 •For Loop: 00:04:00 •Until Loop: 00:03:00 •Break & Continue: 00:03:00 •Get User Input: 00:02:00 •If Statement: 00:09:00 •Case Statements: 00:06:00 •Get Arguments From The Command Line: 00:04:00 •Functions: 00:05:00 •Global vs Local Variables: 00:03:00 •Arrays: 00:06:00 •Shell & Environment Variables: 00:06:00 •Scheduled Automation: 00:03:00 •Aliases: 00:03:00 •Wildcards: 00:03:00 •Multiple Commands: 00:02:00 •Resource: 00:00:00 •Assignment - Bash Scripting, Linux and Shell Programming@@: 00:00:00