236 Bootstrap courses

Build modern responsive websites and UIs with Sass, and get started with exploring Flex and CSS Grid

Learn all the core fundamentals of modern web design, covering all the commonly used syntax for HTML, CSS, JavaScript, and JavaScript DOM with the help of this beginner-friendly course. Go from a static web page to an interactive one with JavaScript. This course is designed to get you started quickly and easily with creating web pages.

Description Learn the process of complete App development knowing the use of GraphQL, Prisma, Node, and React through the App Development Complete Diploma (GraphQL Prisma Node & React) course. Its contents aim to teach you the core aspects of app development so that you can establish your career learning all good of this course must. The course teaches you the functions of GraphQL, a query language for API so that you can learn how to build GraphQL server with Prisma, create a frontend CRUD App with React and Apollo Client, and upload files in GraphQL, Prisma, and React application. The App Development Complete Diploma (GraphQL Prisma Node & React) course will also teach you how to execute error handling in Prisma and React, develop your performance in React application, open Prisma and React application to Heroku, set page number in Prisma and React Appolo application, and accomplish web mark in GraphQL and Prisma. It will also teach how to execute, create, delete, and update data through CURD in Prisma and so many other effective features of app development. Look and learn its effective contents to become better app developer. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? App Development Complete Diploma (GraphQL Prisma Node & React) is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our App Development Complete Diploma (GraphQL Prisma Node & React) is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Big Picture of Prisma Prisma generates GraphQL API for your datamodel FREE 00:03:00 Connect your resolvers to Prisma API 00:03:00 What is Prisma Query Engine 00:01:00 What is DataModeling in Prisma 00:02:00 What databases are supported by Prisma 00:01:00 What is Prisma Cloud 00:02:00 VS Code Setup FREE 00:03:00 Setting up Prisma 00:11:00 Build GraphQL server with Prisma Update Prisma Data Model 00:12:00 Setup GraphQL server with Prisma 00:13:00 Setup env variables for Primisa endpoint 00:04:00 CRUD in Prisma Create Data Model in Prisma 00:04:00 Fetch Records from Database 00:10:00 Create, Update and Delete Record in Prisma 00:15:00 Create Frontend CRUD App with React and Apollo Client Create Apollo client in React Application 00:07:00 Connect Apollo Client to React 00:05:00 Fetch Data using Apollo Query Component 00:12:00 Understanding render Prop pattern in React 00:09:00 Creating Forms in React 00:10:00 Send GraphQL Mutation from React Component 00:10:00 Updating Apollo Cache After Mutation 00:10:00 Adding Routing with React Router 00:09:00 Render List items to Bootstrap card component 00:01:00 Query for Single Record 00:12:00 Edit Record using update Mutation 00:10:00 Mutation for Delete Record in React Apollo 00:08:00 Authentication in Prisma and GraphQL Restructure the resolver functions into separate folder 00:04:00 Signup User in Prisma and GraphQL 00:12:00 Login User in Prisma and GraphQL 00:07:00 Apply Authentication on Resolvers 00:09:00 Authentication in React Apollo Client Application Send Login Request from Frontend App 00:12:00 Save Token to LocalStorage after LoggedIn 00:03:00 Implement Logout User 00:08:00 Require Authentication on Edit and Delete 00:03:00 Implement Signup User on Frontend 00:12:00 Protect Routes in React using React Router 00:09:00 Add Authorization header to every request in React Apollo Client 00:13:00 Error Handling Create Error Message Component to render Errors 00:07:00 Adding Spinner for Loading Data 00:05:00 Pagination in Prisma and React Apollo Application Paginate List fo records of Prisma 00:06:00 Count all Records using Prisma Connection Query 00:15:00 Create Pagination Controls in Frontend Application 00:06:00 Implement Pagination in React Application 00:12:00 Filtering Records in Prisma 00:04:00 Create Search Course Component 00:05:00 Execute Search Query and display courses 00:10:00 Apply Sorting on the Records 00:07:00 Update Cache after creating records 00:03:00 Fix Cache after Delete Records 00:03:00 Optimistic UI In React Apollo Application Improve UI Performance using Optimistic UI in React Apollo 00:06:00 GraphQL Subscription Project Setup Deploy Prisma and React Application to Heroku Deploy Prisma Project to Heroku 00:13:00 Deploy React Project to Heroku 00:14:00 Subscriptions in Prisma and React Apollo Application GraphQL Subscription Project Setup 00:06:00 Prisma Subscription Demo 00:07:00 Creating Subscription in Prisma GraphQL Server 00:05:00 Subscription in React using Apollo Client 00:13:00 State Management in React Application using Apollo Link Setup Apollo Link State 00:05:00 Fetch Records from Apollo State using Query 00:06:00 Create Task Form Component 00:05:00 Save new Record in Apollo Link State 00:11:00 Update Cache using Fragments 00:11:00 Filter Tasks on the based on Status Value 00:16:00 File Upload in Prisma and React Setup Local Development Server with Prisma and Docker 00:09:00 File Upload Demo with Prisma and React 00:14:00 Bonus: React Fundamentals Create React App using create-react-app cli 00:02:00 Creating React Element 00:05:00 Creating Nested React Elements 00:08:00 How React uses React Elements to Create Virtual DOM 00:01:00 What is DOM 00:03:00 What is Virtual DOM 00:05:00 What are Components in React 00:04:00 Create Component in React 00:06:00 Adding Props Validations 00:03:00 Create Nested Components in React 00:05:00 Create State in React Component 00:08:00 Update Component State using Events 00:08:00 Iterate Array and render Components 00:05:00 Pass Function Parent to Child Component 00:09:00 Convert React Components to JSX 00:09:00 State in React Component 00:05:00 Shallow Merging with setState 00:06:00 Use Props PropTypes and default Props in React Component 00:06:00 Create Stateless Component in React 00:04:00 Communicate with Parent and Child Component 00:07:00 What are LifeCycle Methods in React Component 00:01:00 Types and Phases of LifeCycle Methods 00:04:00 LifeCycle Mounting Methods in Action 00:09:00 LifeCycle Updating Methods in Action 00:07:00 Handling Errors with componentDidCatch 00:08:00 Bonus: GraphQL Basics What is GraphQL 00:04:00 What is GraphQL Query 00:03:00 Arguments in GraphQL Query 00:01:00 Required Arguments in Query 00:02:00 GraphQL Schema and Types 00:04:00 Aliasis in GraphQL 00:02:00 Nested Fields 00:02:00 Operations in GraphQL 00:02:00 Variables in GraphQL 00:04:00 Create Mutations 00:03:00 Directives in GraphQL 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 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This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

Overview The Web Design course will enable you to build and maintain expert websites that will stand out from others in the crowded online market. Whether this is for your own personal use, or on behalf of a client, you'll learn to produce pages and designs that will attract plenty of individuals to your work. You'll find that this informative training program is full of up-to-date techniques and smart tricks to construct an eye-catching site. Without having to be a technical wizard, you'll learn all the fundamentals of creating web fonts, style sheets, grid structures, images, icons, and gifs. Once you have completed this entrusted course, you will achieve a greater understanding of web design and realise that functionality and user-friendliness are as necessary as an attractive colour scheme and dynamic imagery. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Requirements There is no specific requirements for our Web Design course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. The course requires a moderate Internet connection so it is possible to start learning with any type of Internet from anywhere at anytime without any limitations.

In this course, we will learn the basics of coding in Python by understanding the fundamentals of coding with Python, exploring some code examples, and working on three simple Python projects. This course is designed for beginners; however, basic programming understanding is required.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up 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 Essentials 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 Python for Data Analysis using NumPy 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 Python for Data Analysis using Pandas 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 Python for Data Visualization using matplotlib 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 Python for Data Visualization using Seaborn 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 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks 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 Capstone Project - Python for Data Analysis & Visualization 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 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model 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 Python for Machine Learning - scikit-learn - Logistic Regression Model 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 Python for Machine Learning - scikit-learn - K Nearest Neighbors 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 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests 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 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) 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 Python for Machine Learning - scikit-learn - K Means Clustering 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 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) 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 Recommender Systems with Python - (Additional Topic) 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 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) 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 Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

NodeJS allows you to build complex and powerful applications quickly and easily, writing JavaScript code. It also allows you to use JavaScript for web applications with flexibility for a wide range of different purposes. Learn about MongoDB as a database and how to build it as well as Express as a framework to build web apps on top of Node.js.