AI Insights

Explore Python programming, data analysis, and visualization in this 10-week course designed for high school students. Through dynamic online lectures and hands-on labs, students will practice and refine their skills each week and apply their learning in the capstone project where they analyze a social problem through the lens of data.

Program Highlights

Master AI concepts and programming through hands-on coding.
Gain proficiency in data cleaning and visualization.
Explore real-world case studies in diverse domains like healthcare, sports, entertainment.
Work on socially impactful projects aligned with UN Sustainable Development Goals.
Discover career pathways in Data Science and AI.

Prerquisites

Enrollment in Grades 9-12.
Basic programming knowledge in Python or a similar language.
Strong analytical abilities and a keen interest in data and emerging technologies.

Skills and Impact

Develop foundational Python programming skills.
Understand key statistical concepts essential for data science.
Master data exploration using the Pandas library.
Create impactful visualizations with Seaborn.
Work with large public datasets to extract meaningful insights.
Complete a capstone project aligned with a UN Sustainable Development Goal.
Present your findings to a broader audience through a final presentation.

2024 Fall Schedule

Cohort: 10 Weekly Sessions
Dates: Sep 22 to Nov 24, 2024
Time: Sundays at 11:00 AM PST
Duration: 2 hrs (Online)
Program Fee: $800

Program Structure

The program consists of 10 sessions designed to introduce students to fundamental AI concepts and their real-world applications. Each session begins with a case study showcasing AI in action, followed by a focused lesson to build key skills, and concludes with a hands-on lab. Throughout the course, students engage in assignments that reinforce their learning, culminating in a capstone project. For the capstone, students choose a social issue aligned with a UN Sustainable Development Goal, explore public datasets, and extract insights to address the problem. The capstone project allows students to apply their newfound skills to analyze and understand complex challenges in their chosen domain.

Program Schedule

Week 1 to 3	Students will explore the core concepts of data science and its practical applications in the real world. They'll learn the basics of Python programming, covering topics like data types, conditional statements, branching, and essential data structures like Lists and Tuples. Through interactive lab sessions, students will have the opportunity to practice and apply their newfound knowledge.
Week 4 to 6	Students will dive into essential statistical concepts, including mean, median, mode, range, standard deviation, normal distribution, and correlation coefficients. They'll also gain proficiency in data manipulation using the Python Pandas library, learning how to handle CSV files, modify data, sort, query, and perform basic inferential statistics. In hands-on lab sessions, students will apply these skills using Colab Notebooks to practice data cleaning and manipulation.
Week 7 to 8	Students will explore data visualization with the Seaborn library, learning to create impactful graphs, charts, and plots. The focus will be on mastering best practices for clear and informative visual representations, empowering students to effectively interpret and communicate data patterns and trends.
Week 9 to 10	In the final two weeks, students will undertake a capstone project, applying all the skills they've acquired throughout the program. Their projects will focus on addressing a social issue aligned with the UN Sustainable Development Goals, utilizing public datasets for data manipulation and visualization. A key component of this experience is the culmination event, where students will showcase their analytical findings and insights, demonstrating their ability to tackle real-world challenges with data science.

Earn a certificate

Earn a completion certificate that will be validated by DIYA Research

FAQs

Who can join this program?

Any high school student (Grade 9 – 12) who has completed Algebra 2 and has basic programming experience can join this program. Bring your analytical skills and a curiosity to explore the field of Data Science.

Will this program benefit me? I do not intend to pursue a career in computer science.

Definitely! Data Science skills can benefit anyone who wants to make informed decisions based on data. These skills can enhance your critical thinking, problem-solving, and communication abilities, which can be helpful in any area of life. By using data to inform your decisions, you can increase your chances of making the right choices. Data Science requires you to approach problems logically and analytically, helping you to be more analytical, logical, and effective in any career or personal pursuit. So, even if you don’t plan to pursue higher education in computer science or related fields, developing Data Science skills can still be valuable for your personal and professional growth.

Are these sessions live and synchronous?

Yes! All sessions are online (i.e. live) and synchronous through Zoom.

Who are the teachers?

Our faculty members are experts from academia and industry with real world experience in the field of Data Science. Please refer to the Teams page to see our instruction staff. Also, the founders are passionate about educating and will be teaching multiple sessions.

Can I register now and withdraw later?

Yes, you can register now and withdraw one week before the program starts. However, a service fee of $50 will be applied and the remaining balance will be refunded.