Why project-based learning cements skills in Data Analysis Python - See It in Action

Why project-based learning cements skills

📖 Scenario: Imagine you are a data analyst helping a small online bookstore understand how project-based learning helps students improve their skills. You have data about students' learning methods and their skill improvement scores.

🎯 Goal: You will create a small data structure with student data, set a threshold for skill improvement, filter students who improved above the threshold using a comprehension, and finally print the filtered results.

📋 What You'll Learn

Create a dictionary called students with exact entries for student names and their skill improvement scores.

Create a variable called threshold and set it to 70.

Use a dictionary comprehension to create a new dictionary improved_students with students who scored above the threshold.

Print the improved_students dictionary.

💡 Why This Matters

🌍 Real World

Filtering data based on conditions is common in data analysis to focus on important information.

💼 Career

Data analysts often filter and summarize data to help businesses make decisions.

1

Create the student skill improvement data

Create a dictionary called students with these exact entries: 'Alice': 65, 'Bob': 82, 'Charlie': 70, 'Diana': 90, 'Ethan': 55.

Data Analysis Python

# Create the students dictionary with skill improvement scores
# Your code here

Hint

Use curly braces {} to create a dictionary with the exact student names and scores.

2

Set the skill improvement threshold

Create a variable called threshold and set it to 70.

Data Analysis Python

students = {'Alice': 65, 'Bob': 82, 'Charlie': 70, 'Diana': 90, 'Ethan': 55}
# Set the threshold for skill improvement
# Your code here

Hint

Just assign the number 70 to the variable threshold.

3

Filter students who improved above the threshold

Use a dictionary comprehension to create a new dictionary called improved_students that includes only students with scores greater than threshold.

Data Analysis Python

students = {'Alice': 65, 'Bob': 82, 'Charlie': 70, 'Diana': 90, 'Ethan': 55}
threshold = 70
# Create improved_students dictionary with comprehension
# Your code here

Hint

Use {name: score for name, score in students.items() if score > threshold} to filter.

4

Print the filtered students

Print the improved_students dictionary to see which students improved above the threshold.

Data Analysis Python

students = {'Alice': 65, 'Bob': 82, 'Charlie': 70, 'Diana': 90, 'Ethan': 55}
threshold = 70
improved_students = {name: score for name, score in students.items() if score > threshold}
# Print the improved_students dictionary
# Your code here

Hint

Use print(improved_students) to display the dictionary.