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Advance your Java programming skills with our comprehensive course on Object-Oriented Programming. Dive into classes, methods, inheritance, polymorphism, and more, while mastering essential concepts like encapsulation and dependency injection. Perfect for developers looking to elevate their Java expertise.
Data Science & Machine Learning with Python
By IOMH - Institute of Mental Health
Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00
Overview This comprehensive course on WebGL 2D/3D Programming and Graphics Rendering will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This WebGL 2D/3D Programming and Graphics Rendering 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? 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 WebGL 2D/3D Programming and Graphics Rendering. It is available to all students, of all academic backgrounds. Requirements Our WebGL 2D/3D Programming and Graphics Rendering 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 7 sections • 28 lectures • 04:05:00 total length •WebGL vs OpenGL vs OpenGL ES: 00:05:00 •Setup Server (Mac, Windows and Linux): 00:05:00 •Setup WebGL Project: 00:08:00 •WebGL Rendering Pipeline: 00:04:00 •Drawing A Point: 00:22:00 •Normalised Coordinates vs Device Coordinates: 00:10:00 •Drawing A Simple Triangle: 00:06:00 •Drawing A Line Using gl.LINES: 00:03:00 •Drawing A Line Using gl.LINE_STRIP & gl.LINE_LOOP: 00:03:00 •Drawing A Triangle With Lines Using gl.TRIANGLE_STRIP & gl.TRIANGLE_FAN: 00:03:00 •Drawing A Quad: 00:07:00 •Drawing A 3D Cube: 00:24:00 •Setup Three.js: 00:06:00 •Loading & Drawing A Model Using Three.js: 00:16:00 •Applying Color To Shapes: 00:09:00 •One Color Per Triangle: 00:15:00 •One Color Per Vertex Using Interpolation: 00:02:00 •Applying A Texture To Shapes: 00:23:00 •Texture Coordinates: 00:08:00 •Moving Objects Using Translation: 00:06:00 •Left Handed vs Right Handed Coordinate System: 00:06:00 •Sizing Objects Using Scaling: 00:06:00 •Combining Transformations: 00:07:00 •Mouse Input: 00:11:00 •Keyboard Input: 00:09:00 •Fixing Rotation and Adding Individual Rotation: 00:08:00 •Ambient Lighting: 00:13:00 •Resource: 00:00:00
Overview This comprehensive course on CSS Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CSS Coding 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 CSS Coding. It is available to all students, of all academic backgrounds. Requirements Our CSS Coding 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 7 sections • 67 lectures • 06:25:00 total length •Getting Started: 00:02:00 •Course Curriculum: 00:04:00 •How to Get Course requirements: 00:02:00 •Getting Started on Windows, Linux or Mac: 00:02:00 •How to ask a Great Questions: 00:01:00 •FAQ's: 00:01:00 •Introduction CSS: 00:06:00 •Choosing Code Editor: 00:03:00 •Installing Code Editor (Sublime Text): 00:04:00 •CSS Syntax: 00:05:00 •Creating a first page with CSS Style: 00:13:00 •Summary: 00:02:00 •Introduction: 00:03:00 •Inline CSS: 00:06:00 •Internal CSS: 00:05:00 •External CSS: 00:10:00 •CSS Classes: 00:09:00 •CSS IDs: 00:06:00 •Colors: 00:08:00 •Backgrounds: 00:04:00 •Floating: 00:09:00 •Positioning: 00:06:00 •Margins: 00:07:00 •Padding: 00:04:00 •Borders: 00:03:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Styling Text: 00:07:00 •Aligning Text: 00:04:00 •Styling Links: 00:10:00 •Font Family: 00:07:00 •Font Styles: 00:03:00 •Applying Google Fonts: 00:07:00 •Box Model: 00:09:00 •Icons: 00:09:00 •Tables: 00:16:00 •Navigation-Menu: 00:11:00 •Dropdowns: 00:15:00 •Summary: 00:02:00 •Introduction: 00:02:00 •Advanced Selectors: 00:05:00 •Forms: 00:17:00 •Website Layout: 00:21:00 •Rounded Corners: 00:08:00 •Color Keywords: 00:06:00 •Animations: 00:08:00 •Pseudo Classes: 00:03:00 •Gradients: 00:03:00 •Shadows: 00:03:00 •Calculations: 00:05:00 •Creating Responsive Page: 00:06:00 •Summary: 00:02:00 •Introduction: 00:01:00 •Button Styles: 00:06:00 •Pagination: 00:07:00 •Multiple Columns: 00:06:00 •Image Reflection: 00:03:00 •UI - UX Design: 00:09:00 •Social Media Icons: 00:08:00 •External CSS Style adding: 00:06:00 •Coding Exercise: 00:01:00 •Solution for Coding Exercise: 00:03:00 •Summary: 00:02:00 •Section Introduction: 00:01:00 •CSS Project Getting: 00:05:00 •CSS Project Overview: 00:08:00 •Summary: 00:01:00
The 'Learn to Code HTML, CSS & JavaScript' course is a comprehensive journey into web development, teaching participants the fundamental programming languages of the web. Covering HTML, CSS, and JavaScript from beginner to expert levels, the course empowers learners to create dynamic and interactive web applications. Through hands-on exercises and projects, students will master each language's core concepts, design principles, and practical implementation, culminating in the creation of live websites. Learning Outcomes: Acquire a solid understanding of HTML, CSS, and JavaScript fundamentals. Build proficiency in creating and styling web content using HTML and CSS. Develop interactive and responsive web interfaces through JavaScript. Learn to manipulate data, use conditional statements, and control flow in JavaScript. Create dynamic elements and enhance user experience with JavaScript functions. Master error handling techniques for robust web development. Implement data visualization using Google Charts. Validate user input and perform client-side validations for enhanced security. Why buy this Learn to Code HTML, CSS & Javascript? 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 Learn to Code HTML, CSS & Javascript 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 Learn to Code HTML, CSS & Javascript does not require you to have any prior qualifications or experience. You can just enrol and start learning. Beginners with no coding experience seeking to learn web development. Aspiring front-end developers looking to build interactive websites. Students and professionals interested in enhancing their coding skills. Entrepreneurs wanting to create their own websites or prototypes. Prerequisites This Learn to Code HTML, CSS & Javascript 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 Front-End Developer - Potential earning of £25,000 - £45,000 per year. Web Designer - Median earning of £20,000 - £40,000 per year. Full-Stack Developer - Median earning of £30,000 - £60,000 per year. UX/UI Designer - Median earning of £25,000 - £45,000 per year. Freelance Web Developer - Potential earning of £20 - £50 per hour.
Embark on a riveting journey from ChatGPT novice to maestro with our 'ChatGPT Masterclass: A Complete ChatGPT Zero to Hero!' This isn't just a course; it's your passport to mastering the intricacies of ChatGPT. In the initial sections, we handhold you through the basics, ensuring a solid foundation. As you progress, delve into the world of developers, discovering how ChatGPT can be harnessed for coding marvels. But this course isn't limited to tech whizzes; entrepreneurs can scale their business using the prowess of ChatGPT in Section 04. For students, Section 05 unveils the academic wonders of ChatGPT, while Section 08 ventures into artistic realms with Dall-E 2. Brace yourself for a transformative experience as you explore the power of ChatGPT across diverse domains, from Excel to graphic art. Learning Outcomes Master the fundamentals of ChatGPT, progressing from the basics to advanced applications. Harness ChatGPT for coding and development, unlocking its potential for developers. Scale your business using ChatGPT, understanding its applications in entrepreneurship. Explore academic applications, discovering how ChatGPT enhances student learning. Unleash the artistic side of ChatGPT, creating graphic art with Dall-E 2. Why choose this ChatGPT Masterclass: A Complete ChatGPT Zero to Hero course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this ChatGPT Masterclass: A Complete ChatGPT Zero to Hero course for? Aspiring ChatGPT enthusiasts eager to transition from zero to hero. Developers seeking to integrate ChatGPT into their coding repertoire. Entrepreneurs aiming to leverage ChatGPT for business growth. Students exploring the academic applications of conversational AI. Creatives and graphic artists interested in the artistic possibilities of ChatGPT. Career path Conversational AI Developer: £50,000 - £80,000 Entrepreneurial AI Strategist: £60,000 - £90,000 AI-enhanced Education Specialist: £45,000 - £70,000 Creative AI Artist: £40,000 - £60,000 AI Solutions Architect: £55,000 - £85,000 Innovative Tech Entrepreneur: £70,000 - £100,000 Prerequisites This ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Getting Started Introduction 00:04:00 Start on Windows, macOS, and Linux 00:01:00 How to ask great questions 00:02:00 FAQs 00:01:00 Section 02: ChatGPT - Basic What is ChatGPT 00:05:00 Create a ChatGPT account 00:06:00 How to use ChatGPT 00:10:00 ChatGPT for day-to-day activities 00:04:00 Advanced ChatGPT Plus 00:05:00 Section 03: ChatGPT for Developers ChatGPT for programmers 00:12:00 Improve Problem-solving skills 00:06:00 Create an Algorithms 00:06:00 How to build a website with ChatGPT 00:05:00 Develop a Stunning Landing page for product sales 00:07:00 Create a Documentation 00:03:00 Code Debugging with ChatGPT 00:05:00 Section 04: Build, and Scale your Business Using ChatGPT The Best Businesses Ideas to start with ChatGPT 00:05:00 SEO Basics for your website 00:06:00 How to make an online course using ChatGPT 00:05:00 Selling Competitive products with ChatGPT 00:04:00 Exercise on real-world sales query 00:01:00 Solution for an exercise 00:02:00 ection 05: ChatGPT for Students ChatGPT to Prepare Resume 00:03:00 Interview preparation with ChatGPT 00:05:00 ChatGPT for PowerPoint content 00:03:00 Innovative Job Searching using ChatGPT 00:04:00 Write a short film with ChatGPT for Creative Fiction and Screenplays 00:03:00 Section 06: The Power of ChatGPT Make the best diet plan for a day 00:03:00 Suggest a meal plan with seafood as the special ingredient 00:03:00 Write a Business Email for the franchise 00:03:00 Create Legal documents like sale deeds etc. 00:03:00 Section 07: ChatGPT for Excel professionals Sum with ChatGPT 00:05:00 VLOOKUP with ChatGPT 00:05:00 Section 08: Generate Incredible Graphic Art with Dall-E 2 Introduction to Dall-E 2 00:04:00 Dall-E 2 Creating 3D Graphic design 00:03:00 Dall-E 2 Deep Dive in Editing your own image 00:04:00 How to Make Money with Dall-E 2 00:03:00 Section 09: The Best Tools and Extensions using ChatGPT Integrating ChatGPT with Google Search 00:06:00
Embarking on a journey into the digital realm? Dive deep into the vast ocean of web development with our course: 'Start Your Career as Web Developer - Complete Training'. This comprehensive programme unfolds the mysteries of HTML, revealing its foundational to advanced layers. As you delve further, JavaScript beckons, introducing you to its core elements, from basic operations to error handling. But that's not all. PHP emerges on the horizon, offering an exploration from rudimentary concepts to intricate object-oriented programming and real-world applications. Equip yourself with the essence of web development and illuminate the pathways of the digital world. Learning Outcomes Grasp the foundational to advanced principles of HTML. Understand and apply JavaScript concepts from introductory to advanced error handling techniques. Master PHP from its fundamental aspects to advanced object-oriented programming and database integration. Develop and implement web applications integrating PHP with MySQL. Implement client-side and server-side validations using JavaScript and PHP. Why choose this Start Your Career as Web Developer - Complete Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Start Your Career as Web Developer - Complete Training Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Start Your Career as Web Developer - Complete Training for? Aspiring web developers seeking a structured pathway into the field. Current web designers looking to expand their skills into development. IT students aiming to bolster their academic understanding with applied knowledge. Entrepreneurs aiming to manage or understand their website's backend. Tech enthusiasts with a curiosity about the workings of web development. Career path Web Developer: £28,000 - £50,000 Front-End Developer: £30,000 - £50,000 Back-End Developer: £35,000 - £55,000 Full Stack Developer: £40,000 - £60,000 PHP Developer: £30,000 - £52,000 JavaScript Developer: £35,000 - £57,000 Prerequisites This Start Your Career as Web Developer - Complete Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Start Your Career as Web Developer - Complete Training 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:07:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statemen 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 JavaScript Functions Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 PHP Introduction What is PHP 00:08:00 Installing XAMPP for PHP, MySQL and Apache 00:12:00 Installing Code Editor(Visual Studio Code) 00:07:00 Creating PHP Project on XAMPP 00:03:00 Hello World Program 00:06:00 PHP Basic Variables 00:16:00 Echo and Print 00:08:00 Data Types 00:11:00 Numbers 00:06:00 Boolean 00:04:00 Arrays 00:06:00 Multi-Dimensional Array 00:07:00 Sorting Arrays 00:04:00 Constants 00:05:00 PHP Strings Strings 00:04:00 String Formatting 00:05:00 String Methods 00:08:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Increment - decrement operators 00:03:00 Logical operators 00:06:00 Ternary operator 00:03:00 PHP Decision-making System If statement 00:05:00 If-else statement 00:02:00 If-else-if-else statement 00:03:00 Switch-case statement 00:05:00 PHP Control flow statements Flow Chart 00:06:00 While loop 00:09:00 Do-while loop 00:04:00 For loop 00:15:00 Foreach loop 00:04:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Functions Creating a Function 00:08:00 Function with Arguments 00:08:00 Default Argument 00:03:00 Function return values 00:06:00 Call-by-value 00:02:00 Call-by-reference 00:03:00 PHP Super globals $_POST Method 00:06:00 $_GET Method 00:02:00 PHP Advanced Form Handling 00:08:00 Date and Time 00:08:00 Include 00:06:00 Require 00:02:00 Sessions 00:08:00 File Reading 00:02:00 File Upload 00:06:00 PHP Object-oriented programming[OOPs] What is OOP 00:03:00 Class and Objects 00:11:00 Constructor 00:04:00 Destructor 00:03:00 Access Modifiers 00:10:00 Inheritance 00:12:00 Method overriding 00:06:00 Abstract Class 00:03:00 Interface 00:08:00 PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin 00:04:00 Creating Database and Table 00:07:00 Database Connection 00:05:00 PHP Form Create records 00:16:00 PHP Form Reading records 00:11:00 PHP Form Update Data 00:15:00 PHP Form Delete record 00:04:00 PHP Real-world code forms Registration Form 00:04:00 MD5 Algorithm for Encrypting 00:03:00 Sha Algorithm 00:02:00 Login Form 00:12:00 PHP Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Form Server-side all Data Validation 00:06:00 Form Server-side Validation 00:06:00 PHP Error handling Try-throw-catch 00:06:00 Try-throw-catch-finally 00:02:00
