Data Science Fundamentals with Pandas & NumPy

Data Analysis with Pandas

import pandas as pd
import numpy as np

data = {
    'track': ['Java', 'Python', 'React', 'Vue', 'Next.js'],
    'enrolled_students': [12000, 18500, 15300, 9400, 14200],
    'avg_rating': [4.8, 4.9, 4.7, 4.8, 4.9]
}

df = pd.DataFrame(data)

# Filter courses with > 10,000 students and calculate statistics
top_tracks = df[df['enrolled_students'] > 10000]
print("Average Rating of Top Tracks:", top_tracks['avg_rating'].mean())