HTML Training Courses
HyperText Markup Language, HTML courses
Client Testimonials
clearly conveyed knowledge
Łukasz Wronka; Rafał Ubysz; EduSquare.pl Łukasz Miedziński
Course Name: Angular 4 - dobre praktyki
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An example of the main application (Find the Jewels) was a pity that it did not develop throughout the training, but only on the last day, with (unfortunately cursory for lack of time) discussing Anulara
BCODLINE Martin Czakański; Paweł Słowiński; Sopra Steria sp.z o.o.
Course Name: Angular 4 - dobre praktyki
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Course Outlines
| Code | Name | Duration | Overview |
|---|---|---|---|
| html | HTML | 7 hours | This is a practical workshop which introduces the basic elements of the HyperText Markup Language (HTML). During the training you will be taught how to determine the structure of using the internet pages. By the end of this training you will be able to produce a website design which works with well-known packages in this field, e.g., Dreamweaver, MS FrontPage, Microsoft Windows, Unix, Linux, .Net and so on. |
| drupalseo | Drupal SEO | 14 hours | With this course you can gain the knowledge you need to get your website to the top of search engines and to reach paying customers for your business with Drupal. |
| html5intro | Introduction to HTML 5 | 14 hours | |
| fodev | Front End Developer | 35 hours | This course is intended not just to introduce but to provide strong foundations and present best practices for HTML & CSS, JavaScript, jQuery and Bootstrap. Fundamental concepts are introduced along with Best practices through labs and hands on exercises. For a good enough coverage of all the topics HTML is addressed along with the other topics (CSS & JavaScript). The course is almost entirely hands on. Most of the concepts are discovered through code readings/execution & coding. |
| d3js | D3.js for Data Visualization | 7 hours | D3.js (or D3 for Data-Driven Documents) is a JavaScript library that uses SVG, HTML5, and CSS for producing dynamic, interactive data visualizations in web browsers. In this instructor-led, live training, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively. By the end of this training, participants will be able to: Use D3 to create interactive graphics, information dashboards, infographics and maps Control HTML with jQuery-like selections Transform the DOM by selecting elements and joining to data Export SVG for use in print publications Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| highcharts | Highcharts for Data Visualization | 7 hours | Highcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion. In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts. By the end of this training, participants will be able to: Set up interactive charts on the Web using only HTML and JavaScript Represent large datasets in visually interesting and interactive ways Export charts to JPEG, PNG, SVG, or PDF Integrate Highcharts with jQuery Mobile for cross-platform compatibility Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |
| shinyrhtml | Shiny, R and HTML: Merging Data Science and Web Development | 7 hours | Shiny is an open source R package that provides a web framework for building interactive web applications using R. In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML. By the end of this training, participants will be able to: Build interactive web applications with R using Shiny Audience Data scientists Web developers Statisticians Format of the course Part lecture, part discussion, exercises and heavy hands-on practice |