This program aims to introduce high school students to the fascinating world of data science and analysis, offering foundational skills that are essential for understanding and working with data. Students will embark on an exciting journey where they will learn to decipher the language of data and extract meaningful insights from it. This hands-on experience will empower them to play the role of a “data explorer,” unraveling the mysteries hidden within datasets.
Throughout this engaging course, participants will dive into hands-on labs designed to reinforce key concepts and foster practical skills. These labs are crammed to provide a dynamic learning experience within virtual environments, allowing students to apply their knowledge in a simulated, but realistic, sensing. Some of the exciting labs included in the curriculum are:
1. Data Exploration LabStudents will navigate through diverse datasets, learning to identify patterns, trends, and outliers.Hands-on experience with tools for basic statistical analysis to draw insights from raw data.2. Data Cleaning ChallengeParticipants will tackle real-world scenarios of messy data and develop skills to clean and preprocess data effectively.Use of data cleaning tools and techniques employed by data scientists in the industry.3. Visualization WorkshopA lab focused on translating data into compelling visualizations.Students will create charts and graphs to effectively communicate their findings, mastering tools commonly used in the field.4. Predictive Modeling SimulationIntroduction to the concept of predictive modeling using simplified examples.Application of basic machine learning techniques to make predictions based on provided datasets.5. Introduction to Python for Data ScienceA practical lab where students will get hands-on experience with Python, a programming language widely used in the data science community.Writing simple scripts to manipulate and analyze data.6. Interactive Data StorytellingStudents will cram a narrative around a dataset, honing their skills in presenting data-driven insights.Incorporation of storytelling techniques to make data more accessible and compelling.
These labs are designed to not only reinforce theoretical concepts, but also to provide students with practical skills that are directly applicable in the field of data science. By actively engaging with these hands-on activities, students will grasp the fundamental principles of data science and develop the confidence to apply these skills in real-world scenarios.
Example ActivitiesProgramming conceptsPowerpoint presentationCapstone project
