
This course includes our updated coding exercises so you can practice your skills as you learn.
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Kick off your full stack data science journey with a step by step, practical introduction from an experienced software engineer, outlining curriculum, hands-on coding exercises, and guided solutions.
Learn the fundamentals of cascading style sheets (css), including how styles cascade from external sheets to html elements, apply colors, fonts, shapes, shadows, and transformations.
Create your first HTML page with CSS using Sublime Text. Build a basic HTML structure, add a style tag, and set background color, text color, and centered alignment.
you will learn file extension and source code notes
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Explore internal css by using style tags inside the head to style the body and headings, apply colors, and compare with inline and external approaches.
Learn how to apply CSS id selectors to divide content, style paragraphs with background colors, borders, padding, and typography, and practice attaching ids to elements for targeted styling.
Apply background colors with the opacity property to control visibility on the body and paragraphs. Adjust opacity values like 0.6 and 0.1 to create a light glow.
Learn to apply the float property to position images left or right, with none or inherit options, and wrap text around the image inside a paragraph.
learn how the position property controls element layout with top, bottom, left, and right, using static, relative, fixed, absolute, and sticky values.
Learn how to use padding to control space inside elements, set top, right, bottom, and left values, percentages, and influence text alignment.
Learn text styling with the font style property to apply normal, italic, and oblique; create CSS classes to customize paragraph appearance.
Learn how to apply left, center, and right text alignments using the text-align property to headings and paragraphs, with practical examples for e-commerce card items.
Apply and compare font families using the font-family property, grouping generic and specific fonts, and observe how Times New Roman, Arial, and Lucida Console affect paragraph styling.
Explore the css box model by wrapping content in divs, applying margins, padding, and borders, and setting width and background color to create clear, reusable boxes.
Learn how to build and beautify tables by combining rows and columns, applying borders, fonts, colors, and hover effects, and populate data like company name and country.
Learn to build a navigation bar and menu items with an unordered list and anchor links, and style it with CSS for background, borders, float, and centered text.
Explore building and styling dropdowns, including hover effects, with a focus on dropdown buttons, content, and country list items, using css classes and interactive behavior.
Learn responsive form design by building and styling a two-column form with labels, inputs, placeholders, and containers. Implement borders, spacing, alignment, and inline display to enhance usability across devices.
Learn to design a versatile website layout with header, menu, content area, and footer, building a three-column responsive structure that adapts with media queries and clear floats.
Learn to apply rounded corners with border radius to paragraphs and controls, using class and id selectors to create varied corner shapes and backgrounds.
Learn to use color keywords to style a light-green background and a transparent background, apply solid black borders and padding, and integrate background images to create layered, visually rich elements.
Explore css animations by building a box that changes color and moves with keyframes, configuring background-color, left, top, and animation-duration to loop infinitely.
Learn how to use pseudo classes with anchor tags and a hover effect, and apply this concept through a simple superclass example.
Apply the calc function to style a full-width element with absolute positioning, padding, and a deep sky blue background, illustrating responsive layout and text alignment in CSS.
Create a responsive page by using the viewport meta tag to set width to device-width and initial scale, so a single page adapts across mobile, tablet, and desktop screens.
Learn how to implement pagination with number-based page navigation, including left and right controls and hyperlinks, styling with classes, and active states and hover effects.
Define multi columns within a single paragraph and control layout with column-count, column-gap, column-rule, and column-width to create newspaper-style text.
Discover how to create image reflections using the image tag, and experiment with right, left, and bottom reflections and offsets to achieve mirror-like outputs.
Learn to integrate social media icons on a webpage using Font Awesome, open-source options, and CSS styling with CDN links.
Learn how to add and integrate external CSS styles by linking an external stylesheet, applying styles to elements like h1 and body, and tweaking colors and themes for web pages.
Introduce Python as an interpreter and high level language that uses significant indentation, enabling readable, reusable code and object oriented programming for large scale projects.
Observe how Python offers easy learning with simple syntax and open source support for building web applications. Compare Python with Java in terms of speed, code length, and dynamic typing.
This lecture explains why Python powers popular software and data science work, highlighting its vast libraries, data analytics and visualization, machine learning, AI, IoT, and AWS integrations.
Learn to install python on Windows from the official site, select the latest version (Python 3.10.2), install the launcher for all users, and test with idle.
Learn how to install and set up the PyCharm community edition across Windows, Mac, and Linux, including download, installation steps, and initial project setup.
Kick off with the PyCharm IDE: learn to create a new Python project using a virtual environment, select the interpreter, and write your first Hello world app.
Learn to write and run a first Python hello world program using a Python IDE, create a new Python file, write a print statement, and run to see the output.
Explore typecasting in python: converting values between string, integer, and float, with examples and notes on data loss and the type function.
Learn how to capture user inputs with the input function and assign them to variables. Understand converting strings to integers or floats and avoid string concatenation errors in arithmetic.
Explore string indexing in Python, using zero-based positions and negative indices to read characters from left to right and from right to left, with practical examples.
Explore string slicing in python by selecting substrings with index ranges, such as 0 to 3, and learn how to reverse a string with the [::-1] syntax.
Explore Python built-in string functions, including length, replace, and uppercase or lowercase, and use the in operator to check membership while distinguishing functions from methods.
Master assignment operators in Python, including the equal operator and plus-equals, minus-equals, and multiply-equals, with practical examples showing x starting at zero and updating with x plus equals three.
Learn how to use comparison operators (>, <, >=, <=, ==, !=) in conditional statements to make decisions, with temperature examples and practical print outputs.
Explore logical operators in programming, mastering and, or, and not to evaluate conditions, make decisions, and guide loops and code blocks with practical examples.
Use the and operator to require two conditions to be true for a true result, illustrated with loan eligibility based on income and credit score.
Explore the not operator, its negation effect on boolean expressions, and how it interacts with and or and comparison operators to determine true or false outcomes.
Explore booleans and boolean expressions to make true false decisions, practice comparisons like ten is greater than eight and ten is equal to ten, and apply results in if conditions.
Become a proficient Full Stack Data Science Developer with the "Full Stack Data Science Developer Course from Scratch" using CSS, Python, and Microsoft SQL. This course is designed to take you from a beginner to a full-fledged data science developer, teaching you how to build complete data-driven applications from scratch.
update: Learn the top AI tools every professional needs to boost productivity
You’ll start by mastering Python, the core language of data science. Learn how to use Python libraries Gain hands-on experience in implementing python algorithms using coding skills to build predictive models that can solve real-world data problems.
Next, you’ll explore Microsoft SQL Server, learning how to design and manage relational databases, perform complex queries, and optimize data storage. You’ll gain a solid understanding of T-SQL for working with large datasets and databases with SQL to fetch, manipulate, and analyze data seamlessly.
For front-end development, you'll master CSS to style your web applications and create responsive, user-friendly interfaces. Learn how to integrate CSS with HTML to design aesthetically pleasing data dashboards and applications that present your insights clearly.
The course emphasizes hands-on projects where you will build full-stack data applications, including interactive dashboards and data-driven websites that interact with databases and display real-time insights. By the end of the course, you'll have the skills to build complete data science solutions, from data extraction to presentation, ready for deployment in the real world.
Enroll today and become a Full Stack Data Science Developer using CSS, Python, and Microsoft SQL!