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This course aims to teach you how to use Python for machine learning and data science.

Course Overview Acquiring an expert hand in JavaScript can be massive support for climbing the career ladder. The JavaScript Data Structures Foundation Course is here to improve your Java skills. In the course, you will learn the essentials of JavaScript data structure and add one more valuable skill set to your list. The JavaScript Data Structures Foundation Course will teach you the fundamentals of JavaScript concepts. There will be extensive lessons on how to list and stack data structures. You will become skilled in implementing content. The modules will cover detailed information about setting data structure and the skills to implement different set features. You will become an expert in creating unique sets. In this step by step process, you will achieve the expertise to build a solid foundation in this subject.  This JavaScript Data Structures Foundation Course will provide you with theoretical knowledge and practical skills on JavaScript data structure. Enroll the course and boost your career in the relevant sector. Learning Outcomes Learn about the essential JavaScript concepts Comprehend the skills to list and stack data structures Understand the process of implementing contents and clear features Enrich your knowledge of queue data structure Identify the challenges and gain the skills to overcome them Know the procedure of creating a unique set Who is this course for? Web Developers, programmers or anyone interested to build their skills in this area. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path  The JavaScript Data Structures Foundation Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Programmer Web Developer Introduction Welcome to the Course 00:03:00 Essential Concepts Essential Concepts 00:02:00 Constructor Function 00:09:00 Protoype 00:04:00 Class 00:04:00 List Data Structure List Data Structure 00:01:00 Creating Class For List Data Structure 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Find And Remove Feature 00:08:00 Creating InsertAfter Feature 00:05:00 Implementing Contains And Clear Feature 00:04:00 Challenge - Work On Traverse List Features 00:03:00 Solution - Implementing List Traverse Features 00:08:00 Challenge - Work On DisplayElementNameOnPostion Features 00:01:00 Solution - Implementing DisplayElementNameOnPostion Features 00:06:00 Stack Data Structure Stack Data Structure 00:03:00 Using Object To Create Stack Class 00:04:00 Implementing Push and Pop Feature 00:09:00 Working with Peek and Clear Feature 00:04:00 Challenge - Extend Stack Class Feature 00:01:00 Solution - Extending Stack Class Feature 00:03:00 Challenge - Convert Stack Class From Object To Array Class 00:01:00 Solution - Converting Stack Class From Object To Array Class 00:05:00 Queue Data Structure Queue Data Structure 00:03:00 Using Object To Create Queue Class 00:04:00 Implementing Enqueue Feature 00:03:00 Implementing Tricky Dequeue Feature 00:09:00 Working On PeeK Size and Clear Features 00:03:00 Extending Features With Two Extra Methods 00:06:00 Challenge Convert Queue Class From Object To Array Class 00:01:00 Solution Converting Queue Class From Object To Array Class 00:04:00 Set Data Structure Set Data Structure 00:02:00 Creating Set Class 00:03:00 Implementing Add And Remove Feature 00:09:00 Working On Contains, Show And Size Method 00:05:00 Creating Unique Set 00:09:00 Adding Mutual Members Feature 00:04:00 Challenge Implement Difference Set Feature 00:02:00 Solution Implementing Difference Set Feature 00:03:00 Final Thought Final Thought 00:01:00 Resources Resources - JavaScript Data Structures Foundation Course 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on Google Data Studio: Data Analytics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Google Data Studio: Data Analytics 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 Google Data Studio: Data Analytics. It is available to all students, of all academic backgrounds. Requirements Our Google Data Studio: Data Analytics 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 4 sections • 17 lectures • 02:32:00 total length •Course Overview: 00:01:00 •Format Data in Google Sheets: 00:08:00 •Sheet Functions 1: Query & Import Range: 00:07:00 •Sheets Function 2: Vlookup & Defined Range: 00:10:00 •Sheets Function 3: Cross Table Calculations: 00:09:00 •Connect Data to Google Data Studio: 00:04:00 •GDS Calculated Fields: 00:08:00 •GDS Theme Customization: 00:07:00 •GDS Page Layout Design: 00:17:00 •GDS Charts: Scorecards: 00:12:00 •GDS Charts: Time Series Graphs: 00:09:00 •GDS Blending and Joining Data Tables: 00:07:00 •GDS Charts: Bar, Donut, and Treemap: 00:17:00 •GDS Charts: Interactive Filters: 00:08:00 •GDS Project Page Completion: 00:17:00 •GDS Client Page Completion: 00:11:00 •Additional Resources - Google Data Studio: Data Analytics: 00:00:00

Course Overview: According to the World Economic Forum, data analysts will be among the most in-demand professions by 2025. This Basic Google Data Studio course takes you on an enlightening journey, illuminating the intricate world of Google Data Studio from the ground up.The Basic Google Data Studio course is your stepping stone into data visualisation, geo-visualization, and in-depth socio-economic analysis. With four comprehensive modules, this curriculum is crafted to impart the foundational principles and techniques of Google Data Studio, ensuring learners possess the proficiency to translate raw data into meaningful insights.Enrol Today and Start Learning! Key Features of the Course: The Basic Google Data Studio course boasts an array of appealing features, including a CPD certificate upon completion, marking your journey into mastering Google Data Studio. 24/7 Learning Assistance ensures you can absorb the course material at your own pace, whenever it suits you best. Expect exciting learning materials that make mastering data visualisation a stimulating and enjoyable endeavour. Who is This Course For? This Basic Google Data Studio course is designed for anyone inclined towards data and interested in visual storytelling. Whether you're a business owner looking to make informed decisions, a student eyeing a future in data analysis, or a data enthusiast, this course could be the perfect fit. What You Will Learn: Introduction to Google Data Studio and its features. Navigation and interface overview of Google Data Studio. Creating reports using different data sources. Converting data into visually appealing graphs and charts. Exploring geographic data visualisation techniques. Uncovering hidden geographic trends through data visualisation. Applying the learned skills to real-world socio-economic case studies. Why Enrol in This Course: This Basic Google Data Studio course consistently receives top reviews from its participants. Recently updated with the latest trends and practices in data visualisation, this course ensures you stay on top of industry shifts. By enrolling in this course, you will develop indispensable skills in data analysis and visual storytelling. Requirements: This course requires a fundamental understanding of data analysis concepts. Internet access is required to practise Google Data Studio and access course materials. Career Path: Upon completing this Basic Google Data Studio course, you can look forward to opportunities in various data-focused professions. Such as Data Analyst Business Intelligence Developer Marketing Analyst SEO Specialist Data Scientist Data Visualisation Specialist Report Analyst In the UK, these roles offer attractive salary packages ranging from £25,000 for entry-level positions to over £60,000+ for more advanced roles. Certification: Upon successful completion of the Basic Google Data Studio course, you will be awarded a CPD certificate as proof of your proficiency in Google Data Studio. Course Curriculum 1 sections • 4 lectures • 02:41:00 total length •Module 01: Introduction to GDS: 00:36:00 •Module 02: Data Visualization: 01:29:00 •Module 03: Geo-visualization: 00:16:00 •Module 04: A Socio-Economic Case Study: 00:20:00

Overview This comprehensive course on Statistical Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistical Analysis comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistical Analysis. It is available to all students, of all academic backgrounds. Requirements Our Statistical Analysis 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 14 sections • 16 lectures • 06:28:00 total length •The Realm Of Statistics: 00:26:00 •Basic Statistical Terms: 00:41:00 •The Center of the Data: 00:07:00 •Data Variability: 00:15:00 •Binomial and Normal Distributions: 00:14:00 •Binomial Probabilities Table: 00:14:00 •Z-Table: 00:04:00 •Introduction to Probability: 00:35:00 •Estimates and Intervals: 00:34:00 •Hypothesis Testing: 00:31:00 •Regression Analysis: 00:11:00 •Algorithms, Analytics and Prediction: 00:47:00 •Learning From Experience: The Bayesian Way: 00:31:00 •Doing Statistics: The Wrong Way: 00:37:00 •How We Can Do Statistics Better: 00:41:00 •Assignment - Statistics Essentials: 00:00:00

Duration 2 Days 12 CPD hours This course is intended for This class is intended for network engineers and network admins that are either using Google Cloud Platform or are planning to do so. The class is also for individuals that want to be exposed to software-defined networking solutions in the cloud. Overview Configure Google VPC networks, subnets, and routers Control administrative access to VPC objects Control network access to endpoints in VPCsInterconnect networks among GCP projects Interconnect networks among GCP VPC networks and on-premises or other-cloud networks Choose among GCP load balancer and proxy options and configure them Use Cloud CDN to reduce latency and save money Optimize network spend using Network TiersConfigure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services Deploy networks declaratively using Cloud Deployment Manager or Terraform Design networks to meet common customer requirements Configure monitoring and logging to troubleshoot networks problems Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform. Google Cloud VPC Networking Fundamentals Recall that networks belong to projects. Explain the differences among default, auto, and custom networks. Create networks and subnets. Explain how IPv4 addresses are assigned to Compute Engine instances. Publish domain names using Google Cloud DNS. Create Compute Engine instances with IP aliases. Create Compute Engine instances with multiple virtual network. Controlling Access to VPC Networks Outline how IAM policies affect VPC networks. Control access to network resources using service accounts. Control access to Compute Engine instances with tag-based firewall rules. Sharing Networks across Projects Outline the overall workflow for configuring Shared VPC. Differentiate between the IAM roles that allow network resources to be managed. Configure peering between unrelated VPC Networks. Recall when to use Shared VPC and when to use VPC Network Peering. Load Balancing Recall the various load balancing services. Configure Layer 7 HTTP(S) load balancing. Whitelist and blacklist IP traffic with Cloud Armor. Cache content with Cloud CDN. Explain Layer 4 TCP or SSL proxy load balancing. Explain regional network load balancing. Configure internal load balancing. Recall the choices for enabling IPv6 Internet connectivity for Google Cloud load balancers. Determine which Google Cloud load balancer to use when. Hybrid Connectivity Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud. Explain Dedicated Interconnect and Partner Interconnect. Describe the workflow for configuring a Dedicated Interconnect. Build a connection over a VPN with Cloud Router. Determine which Google Cloud interconnect service to use when. Explain Direct Peering and Partner Peering. Determine which Google Cloud peering service to use when. Networking Pricing and Billing Recognize how networking features are charged for. Use Network Service Tiers to optimize spend. Determine which Network Service Tier to use when. Recall that labels can be used to understand networking spend. Network Design and Deployment Explain common network design patterns. Configure Private Google Access to allow access to certain Google Cloud services from VM instances with only internal IP addresses. Configure Cloud NAT to provide your instances without public IP addresses access to the internet. Automate the deployment of networks using Deployment Manager or Terraform. Launch networking solutions using Cloud Marketplace. Network Monitoring and Troubleshooting Configure uptime checks, alerting policies and charts for your network services. Use VPC Flow Logs to log and analyze network traffic behavior.

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? 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 Statistical Analysis Course 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 Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis 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. 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 Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00

Unleash the power of your artistic flair and technical acumen with the 'Modelling Environments for Mobile Games Using Maya & Unity 3D' course. This adventure in digital creation commences with an intimate introduction to your guide, an expert in crafting virtual realms, ensuring a personal connection from the outset. As you proceed, the course unfurls the intricacies of modeling the foundational elements of an island landscape, progressing to the architectural pillars that give your digital world form and function. With each module, the mystique of environment design in the gaming universe is demystified, turning novices into creators of enthralling mobile game worlds. The narrative of learning weaves through the art of texturing and material application, imbuing your models with the semblance of life. Adding flora and fauna breathes vitality into the landscapes you sculpt, while the transition from Maya to Unity transforms your creations from static models to dynamic elements within an interactive tapestry. The final act of this educational odyssey equips you with the prowess to refine your scene with professional camera and lighting setups, culminating in a polished, immersive environment ready to captivate the imaginations of mobile gamers across the globe. Learning Outcomes Craft engaging 3D environments suitable for mobile gaming. Navigate the transition of models between Maya and Unity with ease. Apply textures and materials to enrich visual aesthetics. Construct and fine-tune dynamic lighting for atmospheric effect. Produce polished scenes with professional camera techniques. Why choose this Modelling Environments for Mobile Games Using Maya & Unity 3D 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 Modelling Environments for Mobile Games Using Maya & Unity 3D course for? Aspiring 3D environment artists in the gaming industry. Individuals interested in mastering Maya and Unity for mobile game development. Creatives aiming to expand their portfolio with interactive 3D scenes. Game designers looking to deepen their environmental design skills. Hobbyists eager to transform their visions into playable game levels. Career path 3D Environment Artist: £25,000 - £40,000 Mobile Game Developer: £29,000 - £55,000 Unity Developer: £30,000 - £50,000 Maya 3D Modeller: £24,000 - £45,000 Game Designer: £27,000 - £50,000 Lighting Artist: £26,000 - £42,000 Prerequisites This Modelling Environments for Mobile Games Using Maya & Unity 3D does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Modelling Environments for Mobile Games Using Maya & Unity 3D 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 Modelling Environments for Mobile Games Using Maya & Unity 3D Module 01: Get To Know Your Instructor and the Course 00:02:00 Module 02: Modeling the Base of the Island 00:17:00 Module 03: Modeling the Buildings 00:34:00 Module 04: Unwrap, Texture And Apply Materials 00:14:00 Module 05: Add Flowers, Birds and Background 00:13:00 Module 06: Export the Models from Maya to Unity 00:05:00 Module 07: Import and Setup the Project in Unity 00:04:00 Module 08: Add Our Mesh to the Scene 00:05:00 Module 09: Materials and Textures 00:06:00 Module 10: Setup Camera and Lightning 00:06:00 Module 11: Bake the Light Map 00:08:00 Module 12: Add Camera Effect to Polish the Scene 00:03:00 Assignment Assignment - Modelling Environments for Mobile Games Using Maya & Unity 3D 00:00:00

Venture into the world of data interpretation with our illuminating 'Applied Statistics' course. In an era where every decision is data-driven, the art of statistics becomes an indispensable tool. This course masterfully unfolds the complexities of statistical analysis, from the basics to advanced methodologies. Whether it's understanding central tendencies, charting out data, or avoiding common pitfalls, we've got it all covered. Set yourself on a path to make informed decisions and discern patterns like never before. Learning Outcomes Understand the core concepts and fundamentals of statistics. Master methods of measuring central tendencies and dispersion in datasets. Dive deep into correlation, regression, and hypothesis testing techniques. Attain proficiency in data visualisation using charts and graphs. Identify and rectify ten prevalent statistical mistakes. Why choose this Applied Statistics course? 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 Applied Statistics 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 Applied Statistics course for? Students embarking on a journey in data science or related fields. Business analysts seeking to enhance their data interpretation skills. Researchers keen to strengthen their statistical analysis techniques. Professionals in various industries aiming to make data-backed decisions. Educators looking to teach statistical methods more effectively. Career path Data Analyst - £25,000 - £40,000 Statistical Consultant - £30,000 - £50,000 Research Scientist (Statistics) - £35,000 - £55,000 Econometrician - £40,000 - £60,000 Quantitative Analyst - £45,000 - £70,000 Biostatistician - £30,000 - £50,000 Prerequisites This Applied Statistics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Applied Statistics 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 Module 01: Introduction to Statistics Introduction to Statistics 00:18:00 Module 02: Measuring Central Tendency Measuring Central Tendency 00:18:00 Module 03: Measures of Dispersion Measures of Dispersion 00:11:00 Module 04: Correlation and Regression Analysis Correlation and Regression Analysis 00:35:00 Module 05: Probability Probability 00:16:00 Module 06: Sampling Sampling 00:11:00 Module 07: Charts and Graphs Charts and Graphs 00:21:00 Module 08: Hypothesis Testing Hypothesis Testing 00:25:00 Module 09: Ten Common Statistical Mistakes Ten Common Statistical Mistakes 00:30:00 Assignment Assignment - Applied Statistics 00:00:00

Dive into the intricate world of website design with our course, 'HTML and CSS Coding: Beginner to Advanced.' Unravel the mysteries behind the foundational elements of the internet, as you journey from understanding the basics to mastering the complexities. Whether you're a newbie dipping your toes or someone eager to delve deeper, our comprehensive curriculum ensures that by the end, you'll be adept at crafting engaging, responsive, and visually appealing web experiences. Learning Outcomes Comprehend the fundamentals and complexities of HTML, progressing from a beginner to an expert level. Understand the diverse aspects of CSS, from its basic structures to intricate details. Develop the capability to set up an optimal development environment. Acquire the skillset to design and develop a complete website project. Grasp the process to effectively publish a live website. Why buy this HTML and CSS Coding: Beginner to Advanced 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 HTML and CSS Coding: Beginner to Advanced 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 HTML and CSS Coding: Beginner to Advanced course for? Novices aiming to grasp the basics of web development. Intermediate coders seeking to bolster their HTML and CSS knowledge. Designers aspiring to incorporate coding into their skillset. Web enthusiasts eager to understand the backbone of online platforms. Individuals looking to transition into a web design or development role. Prerequisites This HTML and CSS Coding: Beginner to Advanced does not require you to have any prior qualifications or experience. You can just enrol and start learning.This HTML and CSS Coding: Beginner to Advanced 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 Web Developer: £30,000 - £50,000 Front-end Developer: £35,000 - £55,000 Web Designer: £25,000 - £45,000 UI/UX Designer: £40,000 - £60,000 Content Manager: £28,000 - £42,000 Website Tester: £27,000 - £40,000 Course Curriculum Getting Started Introduction 00:03:00 Course Curriculum 00:07:00 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 Setting Up Development Environment Introduction 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Full HTML Code Page 00:07:00 First Hello World! Webpage 00:09:00 HTML Fundamentals Introduction 00:03:00 Heading 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 ID's in CSS 00:06:00 Comments in HTML 00:04:00 Summary 00:04:00 HTML Intermediate Introduction 00:02:00 Images 00:12:00 Forms 00:05:00 Form Actions 00:04:00 Br tag 00:03:00 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 Summary 00:02:00 HTML Advanced Introduction 00:02:00 HTML5 Audio 00:07:00 HTML5 Video 00:05:00 Progress Bar 00:04:00 Drag and Drop 00:18:00 Canvas 00:06:00 I frames 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 YouTube Video Linking 00:04:00 Creating Responsive Page 00:05:00 Summary 00:02:00 HTML Expert Introduction 00:02:00 Registration Form 00:04:00 Login Form 00:04:00 About Us Form 00:02:00 Contact Us Form 00:10:00 Footer Form 00:03:00 Integrate All Together 00:07:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 HTML Website Project Introduction 00:02:00 Challenge - HTML 5 Clock Face with Numbers 00:05:00 Project overview 00:03:00 Conclusion on Project 00:01:00 Summary 00:02:00 CSS Fundamentals Introduction 00:03:00 CSS Syntax 00:05:00 Creating a first page with CSS Style 00:13:00 Inline CSS 00:06:00 Internal CSS 00:05:00 CSS External 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 CSS Intermediate 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 CSS Advanced Introduction 00:02:00 Advanced Selectors 00:06:00 Forms 00:17:00 Website Layout 00:21:00 Rounded Corners 00:06:00 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 CSS Expert Introduction 00:01:00 Button Styles 00:06:00 Flexbox 00:14:00 CSS Grid 00:15:00 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 CSS Website Project Introduction 00:01:00 CSS Project Getting 00:05:00 CSS Project Overview 00:08:00 Summary 00:01:00 Publish Your Website For Live Introduction 00:02:00 Installing Free FTP Solution (FileZilla) 00:04:00 Setting Up FTP (File Transfer Protocol) 00:03:00 Publish Website to Hosting Server 00:04:00 Summary 00:01:00