2259 Software Development courses in Sheffield delivered On Demand

Overview This comprehensive course on Data Science 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 with Python 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 Data Science with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science 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 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 3 sections • 6 lectures • 01:15:00 total length •Module 01: Introduction to Python Data Science: 00:03:00 •Module 02: Environment Setup: 00:10:00 •Module 01: Numpy package for calculations: 00:16:00 •Module 02: Panda package for Data cleaning: 00:19:00 •Module 01: Matplotlib Data Visualization Part 1: 00:16:00 •Module 02: Matplotlib Data Visualization Part 2: 00:11:00

Overview This comprehensive course on Cocos2d-x v3 JavaScript: Game Development will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Cocos2d-x v3 JavaScript: Game Development 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 Cocos2d-x v3 JavaScript: Game Development. It is available to all students, of all academic backgrounds. Requirements Our Cocos2d-x v3 JavaScript: Game Development 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 16 sections • 86 lectures • 07:22:00 total length •What Is Cocos2d-x JavaScript?: 00:03:00 •Setting Up For iOS: 00:09:00 •Setting Up For Android on Mac: 00:12:00 •Setting For Android on Windows: 00:13:00 •Setting Up For the Web: 00:07:00 •Multi Resolution Support: 00:18:00 •Adding a Sprite: 00:07:00 •Positioning Using MoveTo: 00:05:00 •Positioning Using MoveBy: 00:06:00 •Positioning Using JumpTo: 00:03:00 •Positioning Using JumpBy: 00:04:00 •Positioning Using BezierTo: 00:04:00 •Positioning Using BezierBy: 00:04:00 •Positioning Using Place: 00:04:00 •Repeat: 00:04:00 •RepeatForever: 00:04:00 •Scaling Using ScaleTo: 00:04:00 •Scaling Using ScaleBy: 00:04:00 •Tinting Using TintTo: 00:04:00 •Tinting Using TintBy: 00:04:00 •Fading Using FadeTo: 00:04:00 •Fading Using FadeIn: 00:03:00 •Fading Using FadeOut: 00:03:00 •Skewing Using SkewTo: 00:05:00 •Skewing Using SkewBy: 00:04:00 •Rotating Using RotateTo: 00:03:00 •Rotating Using RotateBy: 00:03:00 •Sequence: 00:04:00 •Playing Sound Effects: 00:07:00 •Playing Sound Effects Repeatedly: 00:03:00 •Setting Sound Effect Volume: 00:03:00 •Stopping Sound Effects: 00:05:00 •Playing Music: 00:05:00 •Stopping Music: 00:05:00 •Pausing and Resuming Music: 00:05:00 •Setting Music Volume: 00:03:00 •Setting Up Single Touch Events: 00:05:00 •Single Touch Began: 00:06:00 •Single Touch Moved: 00:04:00 •Single Touch Ended: 00:04:00 •Setting Up Multi Touch Events: 00:03:00 •Multi Touch Began: 00:04:00 •Multi Touch Moved: 00:03:00 •Multi Touch Ended: 00:04:00 •Setting up Mouse Events: 00:03:00 •Mouse Button Pressed: 00:03:00 •Mouse Button Released: 00:03:00 •Mouse Moved: 00:03:00 •Mouse Wheel Scrolled: 00:03:00 •Setting up Keyboard Events: 00:03:00 •Keyboard Key Pressed: 00:04:00 •Keyboard Key Released: 00:04:00 •Setting up Accelerometer Events: 00:05:00 •Using the Accelerometer: 00:04:00 •Setting up A Menu: 00:02:00 •Adding a Menu Font Item: 00:07:00 •Adding a Menu Image Item: 00:05:00 •Menu Alignment: 00:03:00 •Creating a New Scene: 00:03:00 •Pushing a Scene: 00:06:00 •Popping a Scene: 00:04:00 •Replacing a Scene: 00:04:00 •Scene Transitions: 00:05:00 •Node Action Animations: 00:05:00 •Scheduling: 00:07:00 •Debug Information: 00:05:00 •Remove Child: 00:05:00 •LabelTTF: 00:05:00 •LabelAtlas: 00:05:00 •LabelBMFont: 00:07:00 •UIButton: 00:07:00 •UICheckBox: 00:09:00 •UIImageView: 00:04:00 •UILabelAtlas: 00:06:00 •UILabelBMFont: 00:06:00 •UILabel: 00:04:00 •UIListView: 00:10:00 •UILoadingBar: 00:09:00 •UIRichText: 00:08:00 •UIScrollView: 00:08:00 •UISlider: 00:09:00 •UITextField: 00:10:00 •UILayout: 00:07:00 •UIPageView: 00:11:00 •Resource: 00:00:00 •Assignment - Cocos2d-x v3 JavaScript: Game Development: 00:00:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! 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? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 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: 00:04:00 •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: 00:06:00 •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 Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 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 Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 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 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Overview This comprehensive course on Testing using SOAP UI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Testing using SOAP UI 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test 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 Testing using SOAP UI. It is available to all students, of all academic backgrounds. Requirements Our Testing using SOAP UI 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 2 sections • 9 lectures • 04:07:00 total length •Module 01: Introduction to SOAP UI: 00:15:00 •Module 02: Installation instructions for SOAP UI: 00:22:00 •Module 03: Various Components in SOAP UI: 00:30:00 •Module 04: WSDL Testing in SOAP UI: 00:44:00 •Module 05: Load Testing in SOAP UI: 00:34:00 •Module 06: Security Testing in SOAP UI: 00:34:00 •Module 07: REST Testing in SOAP U: 00:42:00 •Module 08: Functional Testing in SOAP UI: 00:26:00 •Assignment - Testing using SOAP UI: 00:00:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Accomplish your dream to become a web developer with the help of this comprehensive Modern PHP 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

Description: This course will greatly benefit anyone wishing to learn the fundamentals of computer operating systems, PC attributes, Microsoft Windows, MAC OS, UNIX, LINUX, GNU etc. This course will answer why administrators must see how Information Technology assumes a major part in both the structure and control of the current business. A fruitful administrator must have a great handle on the usefulness, abilities, and impacts of the innovation that he or she should actualise and oversee. This online course displays a variety of the centre ideas of Information Technology administration. The course will survey such key territories as corporate structures, programming, databases, data frameworks, interchanges and administration of workforce in connection to innovation and from the perspective of the business director. This course is perfect for administration experts who wish to pick up a top to the bottom comprehension of the administration of Information Technology in the advanced partnership.  Who is the course for? Beginner to advanced level users can benefit from the lessons we provide. People who have an interest in learning about computer and computer maintenance. 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. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.  Certification: After you have successfully passed the test, 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 hard copy at a cost of £39 or in PDF format at a 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 recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of applying for NUS Extra Discount Card; 24/7 student support via email. Career Path: The Computer Operating Systems Diploma Course is a very useful qualification to possess, and will be very helpful to have especially for these careers: Computer Maintenance Staff IT Department Manager IT Specialists Computer Engineer Computer Specialist And Other Computer Operation-related jobs! Computer Operating Systems Diploma Introduction FREE 00:30:00 WHAT IS AN OPERATING SYSTEM? FREE 01:00:00 HISTORY OF OPERATING SYSTEMS 01:00:00 WHAT AN OPERATING SYSTEM DOES 02:00:00 MICROSOFT WINDOWS 02:00:00 MAC OS 01:00:00 UNIX 01:00:00 LINUX 01:00:00 GNU-1 00:30:00 OTHER OPERATING SYSTEMS 02:00:00 INSTALLING AN OPERATING SYSTEM 01:00:00 DEFINING THE PROCESSES 02:00:00 CONCLUSION 00:15:00 Windows 8 Module One - Getting Started 00:30:00 Module Two - Welcome to Windows 8 02:00:00 Module Three - Using Apps 02:00:00 Module Four - Working with the Desktop 02:00:00 Module Five - Using the Taskbar 00:30:00 Module Six - Working with the Charms Bar 01:00:00 Module Seven - Managing Your Files and Folders 01:00:00 Module Eight - Networking and Devices 00:30:00 Module Nine - Working with Settings and the Control Panel 01:00:00 Module Ten - Personalizing Windows 8 02:00:00 Module Eleven - Understanding Security and Maintenance 00:30:00 Module Twelve - Wrapping Up 00:30:00 Mac Operating System Introduction to Mac 01:00:00 Features of Mac Desktops 01:00:00 Networking System of Mac 01:00:00 Types of Mac 01:00:00 Mac your way to cyberspace 00:30:00 Benefits of Using Mac 01:00:00 How to print & fax using Mac 01:00:00 Managing music with iTunes 01:00:00 Having fun with photos 01:00:00 Mock Exam Final Exam