From Curious Beginners to Data Explorers: A Look Back at Our 3-week AI & Data Science Program
DIYA Research Inc.
DIYA Research builds data and AI skills for students, educators, and professionals to drive social impact.
By Padmapriya Parthasarathy | Co-Founder, DIYA Research
Last week marked the close of our three‑week summer data science program — and what a transformation it was! We set out to ignite curiosity, build foundational skills, and introduce high school students to the powerful world of data science.
When we welcomed this group of high school students at the start of the program, most had little to no exposure to data science. They came in curious, many having dabbled in Python before, but unsure what it meant to work with real-world data. Over the course of the program, they not only learned the fundamentals of Python, Pandas, and data visualization, but also began thinking like data scientists.
A Structured Dive into the World of Data
We kicked off our journey with a gentle Python refresher — just enough to make sure everyone felt confident with the basics before diving into deeper waters. Most of our students had dabbled in Python before, but this was the first time they were using it to work with real-world datasets.
The first week focused on the essentials: revisiting Python syntax and exploring the powerful Pandas library for data wrangling. By the second week, students were cleaning and visualizing public datasets, learning how to sift through messy information to uncover meaning. The goal wasn’t just to teach coding — it was to help students think like data scientists.
We built a rhythm that felt both structured and exploratory. Each day included hands-on coding labs in Google Colab, where students practiced using Python libraries in real time. They weren’t just watching someone else solve problems — they were writing their own code, debugging errors, and celebrating those small “aha” moments when everything clicked.
To keep the energy up, we introduced daily Kahoot! quizzes. These quick, interactive games turned learning into a fun challenge, offering students a chance to test their understanding and cheer each other on.
But what truly brought the lessons to life were the real-world case studies. We paused regularly to connect the day’s concepts to bigger questions — like how data informs healthcare decisions, shapes business strategies, or reveals social trends. These discussions helped students realize something powerful: data isn’t just numbers and charts. It’s a story. And when told well, it can lead to real change.
By the end of these first two weeks, something amazing started to happen. Students weren’t just absorbing information — they were engaging with it. They began asking deeper questions about the datasets in front of them. What’s missing here? What story is this data trying to tell? What biases might be influencing what we see?
That curiosity — that spark — is where real learning begins.
When Learning Became Discovery
The third week was all about putting it all together. Students took everything they’d learned and applied it to a capstone project — and the transformation was undeniable. They weren’t just following steps anymore; they were leading the process, asking thoughtful questions, and thinking critically about the data in front of them.
One team explored a mental health dataset and quickly spotted an issue: the data was heavily skewed toward one academic subject, with little representation from others. Instead of brushing it off, they identified the need to augment the dataset with more diverse inputs to analyze how academic subjects might influence student mental health. Their ability to spot this limitation — and propose a solution — showed a deep understanding of what responsible data science looks like.
Another group noticed patterns in their data that didn’t quite add up. Rather than ignoring the inconsistencies, they investigated further — consulting background materials, cross-checking sources, and reevaluating their assumptions. That willingness to question and dig deeper is the heart of scientific thinking.
This shift — from completing tasks to conducting real inquiry — was powerful to witness. It’s exactly what research is built on: curiosity, skepticism, and the courage to explore beyond the surface.
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A Cohort That Showed Up — and Spoke Up
This marked our sixth year running the program, but this cohort genuinely stood out. Every student logged in early, every day — often in the first two minutes of class. Their engagement was consistent and joyful.
We implemented daily feedback loops to keep the program responsive:
The testimonials from our students said it all:
At the final event, many shared how much they valued being part of a learning environment where their voices truly mattered. One student put it perfectly: “I loved that our feedback shaped the lessons.” Their words reminded us of something essential — when students feel heard, their learning doesn’t just grow, it thrives.
Here’s what some of them had to say:
Overall, this program was very unique — I loved the community and the way all of the lessons were planned out: there was not much homework, the classwork was fun, and I learned a lot from the slideshows and presentations. — Sumedha
Building Toward the Future
What excites us most is where our students are headed next. Several expressed a strong interest in diving deeper into predictive analysis and launching independent research projects of their own. They now have both the tools and the confidence to explore data with purpose and curiosity — and to draw meaningful insights that could shape real-world decisions.
For high schoolers preparing for college and beyond, this experience offered more than just a résumé boost. It gives them the skill set and mindset to stand out as data-literate, AI-aware students ready to explore and contribute in a world increasingly shaped by data.
As educators, witnessing their growth — intellectual, personal, and collaborative — was deeply rewarding. We didn’t just see participation; we saw transformation. These young learners met the challenge with enthusiasm, perseverance, and a genuine hunger to learn. It was a privilege to be part of their journey.
Looking back on these three weeks, we’re reminded that education is more than passing on knowledge — it’s about sparking curiosity and empowering exploration. From the structured labs to the open-ended discoveries, from the daily energy to the future potential, this cohort proved what research already tells us: hands-on, inquiry-based learning truly changes lives.
As we look ahead, we invite you to join us in shaping what comes next:
We couldn’t be prouder of this cohort — and we’re more inspired than ever to keep building toward the future.
About the Author Priya Parthasarathy, Co-Founder of DIYA Research Inc., is passionate about integrating AI and data science into education. With a strong belief in hands-on, future-focused learning, she is dedicated to equipping students with the critical skills they need to thrive in a data-driven world.