Ciencia de datos y análisis para adolescentes: finanzas, salud y espacio con Python

Data is everywhere—from financial markets to healthcare research to space exploration. In today’s world, the ability to analyze and interpret data is a highly valuable skill that opens doors to careers in STEM, business, and technology. This 8-week hands-on course introduces high school students to data science and analytics using Python, helping them build critical thinking, problem-solving, and data literacy skills.

Using real-world datasets from finance, health sciences, and space exploration, students will learn how to clean, analyze, and visualize data using industry-standard tools like pandas, numpy, and matplotlib in Google Colab. Each week, they will apply new skills to explore financial trends, track health statistics, and analyze NASA mission data. With step-by-step guidance, students will develop confidence in handling large datasets, identifying patterns, and making data-driven decisions.

By the end of the course, students will complete a mini-project, showcasing their ability to analyze and present real-world data—an excellent addition to their academic portfolio, STEM competitions, or college applications. Whether your learner is interested in computer science, engineering, finance, or research, this course will provide a strong foundation in data science, setting them up for success in higher education and beyond!

Course Highlights

✔ Hands-on learning with real-world datasets from finance, health sciences, and space exploration
✔ Python programming using pandas, numpy, and matplotlib in Google Colab
✔ Step-by-step guidance on data cleaning, analysis, and visualization
✔ Introduction to key data science concepts like statistics, time-series analysis, and regression
✔ Weekly coding exercises & practice problems to reinforce learning
✔ No additional software needed—everything runs in the cloud with Google Colab
✔ Final project opportunity to apply skills and showcase learning
✔ Valuable STEM skills for future careers in data science, finance, healthcare, and technology


****Important Note for Adults*****

This isn't a beginner coding course. Learners should already be comfortable with basic programming concepts in any language (Python, Java, JavaScript, C/C++, or Swift). If you're new to coding, check out our beginner Python courses first - they'll give you the foundation you need to succeed here.