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About Course Learn how to use Linux to boost your programming productivity and become a more efficient developer. In this comprehensive course, you will learn: The best Linux terminals to use for programming How to use clipboard managers to save time and effort How to use Vim, the most powerful text editor for programmers How to use Zsh and the oh-my-zsh framework to customize your terminal experience Extensive lessons on terminal commands, including how to find and replace text, work with pipes and subshells, and automate tasks And much more! You will also receive access to a repository of scripts and an eBook containing all of the examples and explanations from the course. This course is perfect for programmers who are new to Linux or who want to learn how to use Linux more effectively. Enroll today and start your journey to becoming a more productive programmer with Linux! Here are some of the benefits of learning how to use Linux for programming: Linux is a powerful and flexible operating system that can be customized to meet your specific needs. Linux is also very efficient, which can make a big difference in your productivity, especially when working with large projects. Linux has a wide range of built-in tools and utilities that are designed for programmers, such as the Bash shell, Vim, and Git. Linux is also open source, which means that there is a large community of developers who are constantly contributing to and improving the platform. If you are serious about becoming a more productive programmer, then learning how to use Linux is an essential skill. This course will teach you everything you need to know to get started. Enroll today and start boosting your productivity! What Will You Learn? I'll increase my terminal productivity by using Terminator, Guake and other tools I'll be able to use regular expressions, pipes and subshells and external shell scripting libraries I'll work with files like a vim-fu master I'll increase my command line productivity (by learning how to use sed, find, tmux, network, autoenv and more) I'll be able to launch a webserver, modify images and productively work with Git I'll edit files without leaving the terminal, use the screen space efficiently and copy-paste like a pro All in all: I will double my terminal productivity Course Content Introduction Introduction Terminator- Hasta La Vista Terminal Guake - Not Quake! Clipit- Forget Everything, Paste from History Productive Shells: Reinvent The Way You Work Pre Chapter Vim Oh-my-zsh Your Terminal Never Felt This Good Before! Basic Regular Expressions Pipes and Subshells Your Shell's Salt and Pepper Shell Scripting for Fun and Profit Shell Scripting Libraries Vim Kung Fu Supercharging Vim Keyboard Kung Fu Plugin Steroids for Vim Vim Password Manager Extra- Fast Configuration Restore CLI: The Hidden Recipe Sed - One-Liner Productivity Treasure You Can Run, But You Can't Hide From 'Find' Tmux Virtual Consoles, Background Jobs and The Likes Network Who's Listening Autoenv Set a Lasting, Project-Based Habitat Don't rm The Trash Developers' Treasure On the Spot Webserver Shrinking Spells and Other Image Magic Go With the Git Flow Merge Git Conflicts With Ease From Localhost to Instant DNS JSON Jamming in The New Age No More Mister Nice Guy Closing Chapter Bonus Chapter Terminal Art Bonus Chapter Closing Chapter A course by Bogdan Vaida Experiential Trainer RequirementsYou need to have prior experience in the Linux command lineYou must have access to a Linux/Unix terminalBasic programming skills are recommended (but not required)Some basic shell scripting and web development knowledge make the course easier to understand Audience System administrators Developers who already know the basics of Linux and want to sharpen their skills People working in the Linux command line This course is not for people who are opening a terminal for the first time Audience System administrators Developers who already know the basics of Linux and want to sharpen their skills People working in the Linux command line This course is not for people who are opening a terminal for the first time

Master Xero for comprehensive accounting and bookkeeping with our course. Navigate through setting up, managing accounts, inventory, payroll, VAT, and more, tailored for the needs of modern businesses.

Why Learn Autodesk Maya Basics to Advanced Level Course? Course info. Autodesk Maya is one of the best tools for 3D animation and visual effects. Learn Maya with our training courses covering sectors like Architecture, Games & Films, Animation, and Media. London Design Training Courses empower you to master Maya, transforming your 3d skills.  Duration: 40 hrs Method: 1-on-1. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat 9 am and 7 pm. Experience advanced-level Maya training covering essential aspects such as modeling, UV mapping, texturing, lighting, camera movement, and rigging. The course is tailored to your specific requirements and work preferences. You can discuss your learning goals with our trainer, and we will suggest a syllabus that meets your needs. Flexible Training Options: Choose in-class training at one of our UK center or attend live online sessions. Certified Tutors and Authoritative: London Design Training Course has all Autodesk Authorized Trainers. Hands-on Learning Approach: The training is practical and hands-on, combining theory and step-by-step demonstrations. You'll have ample time to practice techniques on your computer with Maya, and you can keep all the files you create. Compatible with Windows and Mac: Maya training is available for both Windows and Mac users, with options to suit any recent version of Maya. Maya Basic to Advanced Course Duration: 40 hours Course Description: In this course, you will learn the fundamental and advanced skills to create complex 3D models and animations using Autodesk Maya software. You will gain knowledge of the Maya interface, tools, and workflow. You will learn the essentials of modeling, texturing, rigging, animating, and rendering 3D models. You will also learn how to create advanced special effects and understand advanced modeling techniques. I. Introduction to Maya (3 hours) Overview of Maya and its Uses Maya interface and basic tools Navigation and viewport controls Creating and saving projects II. Basic Polygon Modeling (6 hours) Polygon modeling basics Creating basic shapes and objects Editing and modifying objects Creating complex objects with extrusions and bevels Creating organic shapes with NURBS III. Intermediate Modeling (6 hours) Advanced polygon modeling techniques Creating complex models with Booleans and deformers Creating and modifying curves and surfaces Creating organic shapes with sculpting tools Creating architectural models IV. Texturing and Materials (6 hours) Introduction to texturing Creating and applying materials Texture mapping and UV unwrapping Creating realistic materials with shaders Painting textures with the 3D paint tool V. Lighting and Rendering (6 hours) Basic lighting techniques Advanced lighting techniques Creating realistic lighting environments Setting up a camera and creating a composition Rendering still images and animations Output options and file formats VI. Animation (9 hours) Introduction to animation Keyframe animation and animation curves Creating and editing animation clips Rigging and animating a simple character Creating and editing motion paths and animation layers Creating complex character rigs Creating lip sync and facial animation Creating realistic animation with dynamics and simulations Cloth Animation Ncloth VII. Rigging (4 hours) Introduction to rigging Creating joints and skeletons Binding skin to joints and creating weight maps Creating simple rigging systems and rigging a character Creating complex rigging systems VIII. Special Effects (4 hours) Particle systems and dynamics Creating and manipulating fluids and fire effects Creating and editing special effects like explosions and smoke Creating advanced simulations with nCloth and nParticles Paint effects Mash Networks and Mash Animation IX. Advanced Rendering Techniques (2 hours) Render layers and passes Global illumination and ambient occlusion Mental Ray rendering and settings X. Conclusion and Next Steps (1 hour) Review of course content Tips for further learning and resources Q&A; and feedback Note: The above course outline is just a suggestion, and the course content and duration can be adjusted according to the needs and level of the learners. Proficiency in Advanced Maya Techniques: Participants will gain advanced skills in various aspects of Maya, including modeling, UV mapping, texturing, lighting, camera movement, and rigging. Tailored Training: The course is customized to meet the specific requirements of participants, focusing on their preferred techniques and work type. Hands-On and Practical Experience: The training is practical and hands-on, allowing participants to practice techniques on their own computers with Maya. Versatility in Operating Systems: Participants will be equipped to use Maya on both Windows and Mac systems. Accredited Certification: Upon successful completion, participants will receive an e-certificate, accredited by Autodesk Certified instructor, confirming their achievement in the Maya training course. Post-Course Support: After the training, participants are entitled to 30 days of email support from their Maya trainer, ensuring assistance with any post-course questions or issues. Up-to-Date and Relevant Learning: The training can be based on any recent version of Maya, providing participants with up-to-date knowledge and skills.

In today's world, the Asbestos Surveyor Online Training course stands as a crucial pillar in occupational safety and compliance. Asbestos awareness is paramount due to its pervasive presence in various structures, posing severe health risks if mishandled. This comprehensive course covers modules ranging from understanding asbestos and its health effects to surveying techniques and legislative requirements. With asbestos awareness reiterated throughout, learners grasp the significance of identifying, managing, and mitigating asbestos risks effectively. Acquiring these skills not only enhances job prospects but also ensures safer work environments. In the UK, where stringent regulations govern asbestos management, trained professionals are in high demand, offering promising career opportunities with salaries averaging around £25,000 to £35,000 annually. The sector witnesses a steady rise in demand for qualified personnel, reflecting a growing awareness of asbestos-related hazards, underscoring the Asbestos Surveyor Online Training course's enduring relevance and the indispensable role of asbestos awareness in contemporary workplace safety initiatives. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access Course Curriculum: Module 01: What is Asbestos? Module 02: Health Effects of Asbestos Module 03: Asbestos Containing Materials and Their Properties Module 04: Management of Asbestos Module 05: Risk Assessments and Legislative Requirements Module 06: Asbestos Surveying Module 07: Bulk Sampling Procedures and Strategies Module 08: Survey Report, Quality Assurance and Quality Control Module 09: Personal Decontamination Learning Outcomes: Identify asbestos and its associated health risks for safety protocols. Analyze asbestos-containing materials and their specific properties for management. Execute asbestos surveys and bulk sampling procedures with precision. Assess risks and ensure compliance with legislative requirements effectively. Produce comprehensive survey reports with quality assurance and control measures. Implement personal decontamination procedures to maintain safety standards diligently. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Asbestos Surveyor Online Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Asbestos Surveyor Online Training. Moreover, this course is ideal for: Construction workers seeking asbestos awareness and safety training. Health and safety professionals expanding expertise in asbestos management. Environmental consultants specializing in hazardous materials assessment and management. Building surveyors enhancing skills in identifying and managing asbestos risks. Facility managers responsible for ensuring asbestos compliance and safety protocols. Requirements There are no requirements needed to enrol into this Asbestos Surveyor Online Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Asbestos Surveyor Online Training course. Career path After finishing this Asbestos Surveyor Training course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of Asbestos Surveyor Training are: Asbestos Surveyor - £25K to £35K/year Health and Safety Officer - £30K to £40K/year Environmental Consultant - £28K to £45K/year Building Surveyor- £25K to £40K/year Construction Project Manager- £35K to £55K/year Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Introduction to Entrepreneurship Course provides a comprehensive understanding of the entrepreneurial landscape in the modern world. In today's dynamic economy, Entrepreneurship plays a pivotal role in driving innovation, creating job opportunities, and fostering economic growth. Learning this skill is crucial as it equips individuals with the knowledge and tools needed to identify opportunities, develop innovative solutions, and successfully launch and manage businesses. In the UK job market, proficiency in Entrepreneurship significantly enhances one's employability, with job roles ranging from startup founders to corporate innovators. According to recent data, professionals with Entrepreneurship expertise in the UK command salaries averaging £40,000 to £60,000 per annum. Moreover, the advantages of undertaking this Introduction to Entrepreneurship course are manifold, with an increasing demand for entrepreneurial skills across various sectors. Studies indicate a rise in entrepreneurial activity, with the percentage of startups increasing by 10% annually, highlighting the growing importance of Entrepreneurship education in today's world. Key Features: This Introduction to Entrepreneurship Course Includes: CPD Certified Entrepreneurship Course Free Certificate Developed by Specialist Lifetime Access Course Curriculum of This Introduction to Entrepreneurship Course Module 01: Introduction To Entrepreneurship Module 02: Entrepreneurship And Innovation Module 03: The Entrepreneurial Mindset Module 04: Introduction To Idea Generation Module 05: Business Models Module 06: Writing And Evaluating Business Plan Module 07: Fundraising Module 08: The Reasons Why New Businesses Fail Learning Outcomes: Introduction to Entrepreneurship Course Understand entrepreneurship fundamentals and its role in modern economies. Explore the relationship between entrepreneurship and innovation for business success. Cultivate an entrepreneurial mindset to identify opportunities and navigate challenges. Learn techniques for idea generation and evaluating business feasibility. Analyze various business models to determine their suitability for ventures. Develop skills in writing and evaluating business plans for startups. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Introduction to Entrepreneurship course is accessible to anyone eager to learn more about this topic. Through this Introduction to Entrepreneurship course, you'll gain a solid understanding of Introduction to Entrepreneurship . Moreover, this course is ideal for: Aspiring entrepreneurs seeking foundational knowledge in business creation. Students interested in understanding entrepreneurial concepts for future ventures. Professionals exploring entrepreneurship as a career change or side project. Individuals with innovative ideas looking to transform them into viable businesses. Anyone curious about the process of starting and running a business. Requirements There are no requirements needed to enrol into this Introduction to Entrepreneurship course. We welcome individuals from all backgrounds and levels of experience to enrol into this Introduction to Entrepreneurship course. Career path After finishing this Introduction to Entrepreneurship course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of Introduction to Entrepreneurship are: Entrepreneur - £25K to 100K/year. Business Consultant - £30K to 70K/year. Venture Capital Analyst - £40K to 80K/year. Innovation Manager - £35K to 70K/year. Small Business Owner - £20K to 60K/year. Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Whether you're an aspiring building surveyor or a construction professional looking to expand your knowledge, this diploma offers valuable insights and practical skills to excel in the field. Enrol today to take the first step towards a rewarding career in building surveying.

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

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Overview Introducing our comprehensive 'Refactor JavaScript Course'. With the digital landscape ever-evolving, coding has grown beyond mere creation. The efficiency, readability, and maintainability of your code are pivotal. This course not only introduces you to the crux of refactoring but also guides you through the art of detecting 'code smells' and mending them. Let's set out on a journey through the various elements and structures of JavaScript, ensuring your knowledge isn't just surface level but robust and future-proof. In the age of cluttered codes and labyrinthine structures, mastering refactoring is akin to acquiring a superpower. By delving into our curriculum, you'll learn to diagnose issues in your code with precision, swiftly making amendments to ensure optimised performance. As you navigate through units addressing everything from the basics to the intricate structures, you'll emerge equipped with the tools to keep your codebase neat, efficient, and above par. Lastly, as we tie up with the conclusion, we don't merely finish. We ensure you're brimming with confidence, adeptness, and a renewed passion for coding. Whether you're a beginner aiming for excellence or someone looking to keep up with modern coding paradigms, this course serves as your gateway to elevated JavaScript expertise. Learning Outcomes: Understand the fundamental principles and significance of refactoring in JavaScript. Identify and rectify common 'code smells' hindering code quality. Implement techniques for refactoring various elements within a JavaScript codebase. Adapt and restructure intricate code layouts for improved clarity and efficiency. Synthesise learning from all units to maintain and enhance existing JavaScript projects. Develop a systematic approach to coding, ensuring reduced errors and increased maintainability. Foster a deeper appreciation and understanding of clean, efficient, and readable JavaScript. Why buy this Refactor Javascript Course? 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 Refactor Javascript Course 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 Refactor Javascript Course course is ideal for Individuals keen on refining their JavaScript coding skills. Developers looking to optimise and maintain their existing JavaScript projects. Enthusiasts aiming to elevate their coding standards and best practices. Team leads or managers seeking efficient coding techniques for project oversight. Anyone passionate about producing quality code that stands the test of time. Prerequisites This Refactor Javascript Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Refactor Javascript Course 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 JavaScript Developer: Average Salary Range £30,000 - £55,000 Front-end Developer: Average Salary Range £28,000 - £52,000 Back-end Developer: Average Salary Range £31,000 - £58,000 Full-stack Developer: Average Salary Range £35,000 - £60,000 Software Engineer: Average Salary Range £35,000 - £65,000 Technical Lead: Average Salary Range £50,000 - £80,000. Course Curriculum Refactor Javascript Unit 01: Introduction Module 01: Introduction 00:05:00 Unit 02: Code Smells Module 01: Introduction 00:02:00 Module 02: General Code Smells 00:06:00 Module 03: Kill All the Global Data 00:05:00 Module 04: Long Functions && Long Classes 00:07:00 Module 05: Long Parameters List 00:05:00 Module 06: Side Effect 00:04:00 Module 07: Feature Envy 00:04:00 Module 08: Divergent Change AND Shotgun Surgery 00:06:00 Unit 03: Code Elements Refactoring Module 01: Introduction 00:02:00 Module 02: Be the code minimalist 00:06:00 Module 03: Refactoring variables 00:10:00 Module 04: Refactoring conditionals 00:06:00 Module 05: Refactoring loops 00:11:00 Module 06: Refactoring functions 1 00:11:00 Module 07: Refactoring functions 2 00:06:00 Unit 04: Code Structure Refactoring Module 01: Introduction 00:02:00 Module 02: Error handling 00:13:00 Module 03: Structuring the code 00:07:00 Module 04: Refactoring Tools 00:22:00 Module 05: Eslint Demo 00:17:00 Unit 05: Conclusion Module 01: Conclusion 00:01:00 Assignment Assignment - Refactor Javascript Course 00:00:00

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