746 Library courses in Glasgow delivered On Demand

Embark on a transformative journey into Python programming, ranging from fundamentals to advanced concepts like NumPy and Pandas. This course not only equips you with a comprehensive understanding of Python but also guides you through practical applications such as scripting and library usage. With the demand for Python expertise soaring in the UK, where Python Developers earn an average of £45,000 per year, this course opens doors to a realm of opportunities. Join us and immerse yourself in the dynamic world of Python, unlocking a pathway to a lucrative career in programming. ________________________________________________________________________ Key Features: CPD Certified Diploma in Python Programming: Beginner To Expert With Complete Career Guide 10 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python ________________________________________________________________________ Complete Career Guide for Python Programming: Beginner To Expert(A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Programming. In addition to mastering the essentials of Programming, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Programming. Your dream career starts here! List of career guide courses included in Python Programming: Beginner To Expert With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Understand Python programming fundamentals comprehensively. Apply Python operators effectively in program development. Demonstrate proficiency in handling basic and advanced data types. Implement control flow structures for efficient program execution. Develop and utilize Python functions, including advanced concepts. Gain practical skills in scripting, using libraries, and mastering OOP. ________________________________________________________________________ Accreditation All of our courses, including the Python Programming: Beginner To Expert With Complete Career Guide, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Python Programming: Beginner To Expert With Complete Career Guide, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals new to programming seeking a thorough Python foundation. Students or professionals aiming to enhance data handling skills. Aspiring developers interested in scripting and library usage. Those pursuing a career in Python and object-oriented programming. Career path Python Developer - £35K to 55K/year. Data Analyst - £30K to 45K/year. Software Engineer - £40K to 65K/year. Machine Learning Engineer - £45K to 75K/year. Data Scientist - £50K to 80K/year. Certificates 10 CPD Accredited e-Certificates Digital certificate - Included 10 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

🚀 Unlock Your Creative Potential with Vyond Mastery: Unleashing Animated Creativity! 🚀 Are you ready to transform your ideas into captivating animations that grab attention, convey messages effectively, and elevate your content to the next level? Look no further! Introducing our groundbreaking online course: Vyond Mastery - Unleashing Animated Creativity!   🌟 What's Inside? ✨ Module 1: Getting Started with Vyond Master the basics of Vyond, from navigating the interface to creating your first animation. Learn insider tips and tricks for a seamless animation workflow. ✨ Module 2: Crafting Compelling Storylines Dive deep into the art of storytelling and discover how to structure narratives for maximum impact. Explore techniques to engage your audience emotionally through animated storytelling. ✨ Module 3: Advanced Animation Techniques Elevate your animations with advanced techniques and transitions. Uncover the secrets to fluid character movements and dynamic scene transitions. ✨ Module 4: Voiceovers and Sound Design Learn to integrate professional voiceovers and sound effects to enhance your animations. Discover the importance of audio in creating a memorable viewer experience. ✨ Module 5: Branding and Consistency Develop a consistent and memorable brand identity through your animations. Explore ways to align your animated content with your brand message and values. ✨ Module 6: Exporting and Sharing Your Masterpieces Get hands-on experience with exporting options and choose the best formats for various platforms. Learn strategies for sharing your animated creations effectively on social media and other channels.   🎓 Why Choose Vyond Mastery? Expert Guidance: Led by industry experts with years of experience in animation and storytelling. Practical Learning: Hands-on exercises and real-world examples to reinforce your skills. Lifetime Access: Learn at your own pace and revisit the course content whenever you need. Community Support: Connect with a community of like-minded learners and share your progress.   🌈 Who Can Benefit? Content Creators Marketers Educators Business Owners Social Media Managers   💥 Ready to Transform Your Ideas into Animated Masterpieces? Enroll Today! Unleash your creativity, captivate your audience, and make your mark with Vyond Mastery - Unleashing Animated Creativity! 🚀 Course Curriculum Basic Overview 00:00 Pricing 00:00 Vyond Resources 00:00 Interface and Timeline 00:00 Adding Templates 00:00 Character Library 00:00 Character Properties - Part-1 00:00 Character Properties - Part -2' 00:00 Character Properties - Part -3 00:00 Prop Library 00:00 Prop Properties 00:00 Chart Properties - Part 1 00:00 Chart Properties - Part 2 00:00 Text Library 00:00 Text Properties 00:00 Scene Transitions 00:00 Differences with Whiteboard Animation - Part 1 00:00 Differences with Whiteboard Animation - Part 2 00:00 Adding in the Camera to Zoom In 00:00 Conclusion 00:00 Advanced Overview 00:00 Video Script From Existing Video 00:00 Video Script From Existing Audio 00:00 Creating Video Scripts from An Existing Article Document 00:00 Creating Video Scripts From Existing PowerPoints 00:00 Structuring Your Script and Storyboard Document 00:00 Setting Up for the Audio Recording and Voiceover 00:00 Narration of your Audio Script 00:00 Creation of Scene Timings 00:00 Uploading The Audio to Vyond 00:00 Adding In Music 00:00 Scene Theme Selections 00:00 Storyboarding Scenes 00:00 Business and Contemporary Vs Whiteboard 00:00 Storyboarding Whiteboard Style Videos 00:00 Adding Images to Whitebord Style Videos 00:00 Adding the Camera and Exit Effect to Images 00:00 Changing the Background and the Text 00:00 Adding Scene Transitions to Sync Up Your 00:00 Conclusion 00:00

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + CPD Accreditation | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + CPD Accreditation | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included

Premium Bundle of all Time | Ofqual Regulation + ATHE Awards + QLS Endorsement | Assessment & Tutor Support Included