4100 Software courses in Sheffield delivered On Demand

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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.

Advance your Java programming skills with our comprehensive course on Object-Oriented Programming. Dive into classes, methods, inheritance, polymorphism, and more, while mastering essential concepts like encapsulation and dependency injection. Perfect for developers looking to elevate their Java expertise.

Dive into JavaScript with a focus on data visualization. Master JavaScript fundamentals, control flow, error handling, and client-side validations. Create engaging visual representations using Google Chart. Perfect for anyone looking to combine coding skills with visual analytics.

You will learn everything you need to know about JavaScript in this course.

This course aims to teach you how to build a professional website with HTML, CSS, SaaS and NPM.

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