Ages 13-17
10 Weeks
Difficulty: Intermediate ⭐⭐○○
Data Science for Teens
Dive into data science! Learn pandas, NumPy, and data visualization. Clean real datasets, create charts, understand statistics, and complete portfolio-worthy projects.
Prerequisites
This course builds on knowledge from previous courses. We recommend completing these first:
Can I skip this? If you have equivalent experience (e.g., know Scratch basics for Course 2), you may be able to start here. Contact us to discuss your background.
Overview
Dive into data science! Learn pandas, NumPy, and data visualization. Clean real datasets, create charts, understand statistics, and complete portfolio-worthy projects.
What You'll Build
- Analyze datasets with pandas
- Create data visualizations
- Understand statistics
- Build data science portfolio
What You'll Learn
Industry-standard tools
Real datasets
Portfolio projects
Statistics foundation
Curriculum
Week 1-2
Pandas & NumPy
- •DataFrames
- •Data manipulation
- •NumPy arrays
Week 3-4
Data Cleaning
- •Handling missing data
- •Data transformation
- •Outlier detection
Week 5-6
Data Visualization
- •Matplotlib
- •Seaborn
- •Creating charts
- •Customization
Week 7-8
Statistics & Analysis
- •Descriptive statistics
- •Correlation
- •Hypothesis testing basics
Week 9-10
Real-World Projects
- •End-to-end analysis
- •Portfolio projects
- •Presentation
Note: Detailed curriculum content will be available soon. This is a placeholder overview of the topics covered.
What's Next?
Continue your learning journey with the next course in this path:
Introduction to AI & Machine Learning
Explore artificial intelligence and machine learning fundamentals. Train your first AI models!
10 WeeksDifficulty: ⭐⭐⭐○
Course Details
Requirements
- Laptop required
- Internet connection
- Course 5 completion OR Python basics
Difficulty Level
⭐⭐○○
Intermediate