Website Development   Python Course

Week 1: Introduction to the Web

🎯 Objective: Understand how websites work and basic HTML structure.
🛠 Activities:

  • What is the internet? How do websites work?
  • Introduction to HTML: <html>, <head>, <body>
  • First webpage: "Hello, World!" using <h1> and <p>
    🎨 Project: Create a basic personal webpage.

Week 2: HTML Basics

🎯 Objective: Learn essential HTML elements.
🛠 Activities:

  • Adding images: <img>
  • Creating links: <a href="">
  • Lists: <ul>, <ol>, <li>
  • Simple tables: <table>, <tr>, <td>
    🎨 Project: Build a "My Favorite Things" webpage with lists and images.

Week 3: Styling with CSS

🎯 Objective: Learn how to make websites look cool!
🛠 Activities:

  • Inline, internal, and external CSS
  • Changing colors, fonts, and backgrounds
  • Simple box model (margin, padding, border)
    🎨 Project: Style the "My Favorite Things" webpage with CSS.

Week 4: Page Layout with CSS

🎯 Objective: Learn how to position elements on a webpage.
🛠 Activities:

  • CSS selectors: classes (.class) & IDs (#id)
  • Flexbox basics for layout
  • Adding a navigation bar
    🎨 Project: Create a simple blog layout with navigation.

Week 5: Introduction to JavaScript

🎯 Objective: Add interactivity to websites.
🛠 Activities:

  • What is JavaScript?
  • Variables and data types
  • alert(), console.log()
  • Basic functions and events (onclick)
    🎨 Project: Create an interactive "Click Me!" button.

Week 6: User Input & Simple Logic

🎯 Objective: Learn how to take user input and use logic in JavaScript.
🛠 Activities:

  • prompt() and document.getElementById()
  • Conditionals (if, else)
  • Simple math with JavaScript
    🎨 Project: Create a webpage that asks for the user’s name and greets them.

Week 7: Combining HTML, CSS, and JavaScript

🎯 Objective: Make interactive web pages.
🛠 Activities:

  • Changing CSS styles with JavaScript
  • Event listeners (onmouseover, onkeyup)
  • Creating a simple form
    🎨 Project: Build a fun interactive quiz.

Week 8: Final Project!

🎯 Objective: Apply everything learned in a creative way!
🛠 Activities:

  • Brainstorm project ideas
  • Work on the project using HTML, CSS, and JavaScript
  • Debugging and testing
    🎨 Final Project: Make a mini-website (e.g., a portfolio, a game, a quiz).

Week 1: Introduction to Python

🎯 Objective: Understand what Python is and write the first program.
🛠 Activities:

  • What is Python? What can we do with it?
  • Installing Python and using Jupyter Notebook
  • Writing the first program: print("Hello, World!")
  • Comments (# This is a comment)
    🎮 Mini-Challenge: Make Python say your name!
    🎨 Project: Create a personalized greeting program.

Week 2: Variables & Data Types

🎯 Objective: Learn how to store and manipulate data.
🛠 Activities:

  • Variables: name = "Alice"
  • Data types: strings, integers, floats, booleans
  • Basic math operations (+, -, *, /, **)
  • String formatting (f"Hello {name}")
    🎮 Mini-Challenge: Make a calculator that adds two numbers!
    🎨 Project: Create a name and age guessing game.

Week 3: Conditionals & Loops

🎯 Objective: Learn how to make decisions and repeat actions.
🛠 Activities:

  • If-else statements (if age > 18:)
  • Comparison & logical operators (and, or, not)
  • Loops: for and while
    🎮 Mini-Challenge: Make a "Guess the Secret Number" game!
    🎨 Project: Create a simple chatbot that responds based on user input.

Week 4: Functions & Lists

🎯 Objective: Learn how to reuse code and store multiple values.
🛠 Activities:

  • Defining functions with def my_function():
  • Lists (numbers = [1, 2, 3])
  • Loops with lists (for item in my_list:)
    🎮 Mini-Challenge: Create a randomized list picker (e.g., "What should I eat today?")
    🎨 Project: Build a Magic 8-Ball that gives random answers.

Week 5: Introduction to Data Science (pandas Basics)

🎯 Objective: Learn about data structures and handle real-world data.
🛠 Activities:

  • Importing pandas (import pandas as pd)
  • Reading CSV files (df = pd.read_csv("data.csv"))
  • Viewing data (df.head(), df.info())
  • Selecting columns and rows (df["column_name"], df.iloc[0])
    🎮 Mini-Challenge: Load a fun dataset (e.g., Pokémon stats) and display some rows!
    🎨 Project: Create a "Top 5 Pokémon by Speed" program.

Week 6: Data Visualization (Matplotlib & Seaborn)

🎯 Objective: Learn how to visualize data with charts and graphs.
🛠 Activities:

  • Importing matplotlib.pyplot and seaborn
  • Creating bar charts, line plots, and scatter plots
  • Customizing graphs (titles, labels, colors)
    🎮 Mini-Challenge: Make a bar chart of your 5 favorite movies’ ratings!
    🎨 Project: Create a weather trend graph using a dataset.

Week 7: Data Analysis & Basic Statistics

🎯 Objective: Learn basic data analysis techniques.
🛠 Activities:

  • Finding the mean, median, and mode
  • Filtering and sorting data (df[df["score"] > 90])
  • Grouping and summarizing data (df.groupby("category").mean())
    🎮 Mini-Challenge: Find the average weight of Pokémon by type!
    🎨 Project: Analyze a dataset of Olympic medal winners.

Week 8: Final Data Science Project!

🎯 Objective: Apply everything learned to analyze real-world data.
🛠 Activities:

  • Choose a dataset (sports stats, movies, weather, etc.)
  • Clean and explore the data
  • Create visualizations and find insights
    🎨 Final Project Ideas:
    ✅ "What makes a movie successful?" (Analyze IMDB ratings)
    ✅ "Which country wins the most Olympic gold medals?"
    ✅ "Do taller people really run faster?"

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