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    Unit 1

    Introduction to Web Development

    Introduction to JavaScript
    Front-end vs Back-end vs Full-stack
    Introduction to CSS
    Setting up Your Development Environment
    Introduction to HTML
    What is Web Development?

    Unit 2

    HTML Fundamentals

    Headings, Paragraphs, and Formatting
    HTML Tables
    HTML Structure and Basic Tags
    Lists: Ordered, Unordered, and Definition Lists
    Links and Images in HTML
    HTML Forms: Input Elements and Attributes

    Unit 3

    CSS Fundamentals

    CSS Positioning
    CSS Colors, Backgrounds, and Gradients
    CSS Syntax and Selectors
    CSS Box Model
    Text Styling in CSS
    CSS Display Properties

    Unit 4

    JavaScript Fundamentals

    Control Flow: If/Else Statements and Loops
    Events in JavaScript
    DOM Manipulation
    Functions in JavaScript
    Arrays and Objects in JavaScript
    Variables, Data Types, and Operators

    Unit 5

    Responsive Web Design

    Flexible Layouts and Grids
    Introduction to Responsive Design
    Viewports and Media Queries
    Mobile-First Approach
    Introduction to Bootstrap
    Responsive Images
    ;

    Unit 2 • Chapter 5

    Links and Images in HTML

    Summary

    The video explores the challenges and opportunities presented by the increasing amounts of data in scientific research. It highlights how traditional methods of data analysis are becoming insufficient to handle the sheer volume and complexity of modern datasets, particularly in fields like genomics and astronomy. The discussion focuses on the need for new tools and techniques, such as machine learning and artificial intelligence, to extract meaningful insights from this data. The importance of data sharing and collaboration among researchers is emphasized to accelerate scientific discovery. Concerns about data privacy and security are also addressed, stressing the need for responsible data management practices. Examples of successful data-driven scientific discoveries are provided, illustrating the transformative potential of big data in advancing knowledge and addressing critical challenges.

    Concept Check

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