Weekly Experience
Sessions will be held from June 9th to July 23rd
On Tuesdays and Thursdays, 6:00–7:00 PM.
Weeks 4 and 5, an additional Friday session from 6:00–7:00 PM.
Week 1 — What Is Data and Why Does It Matter?
Students are introduced to the world of data, beginning with Excel, to understand how information is organized, what patterns look like, and why data matters in everyday life. The week transitions into Python, where students set up their environment and write their first lines of code. By the end of the week, every student has worked with real data and understands the direction of the program. No prior experience required.
Week 2 — Learning to Read Data
Using a real health dataset, students learn how to load, navigate, and explore data in Python. Emphasis is placed on identifying patterns, spotting anomalies, and asking meaningful questions. Students begin applying these skills to their group project dataset outside of class.
Week 3 — Cleaning Up the Mess
Students work with an economics dataset to learn how to clean and prepare raw data for analysis. This includes handling missing values, correcting inconsistencies, and structuring data for use. These techniques are applied directly to their project datasets.
Week 4 — Telling Stories with Data + Professional Workshop
Students learn data visualization in Python, creating charts and graphs that communicate findings clearly using a climate and energy dataset. The week concludes with a professional workshop, where students build or refine their professional profiles (GitHub or LinkedIn).
Additional Friday: Session
Week 5 — Data in the Real World + Resume Workshop
Students explore how data informs decisions across healthcare, government, business, and policy. A guest speaker shares real-world applications and career insights. The week concludes with a Resume Workshop, where students develop or polish their resume, highlighting their Data Lab experience and technical skills.
Additional Friday: Session
Week 6 — Building the Project
Dedicated project lab sessions focused on finalizing analysis, refining visualizations, and developing a clear presentation. The instructor works closely with each team to strengthen insights and ensure a well-structured narrative.
Week 7 — Present, Reflect, and Celebrate
Each team presents its completed project and receives individualized feedback. Students are awarded a Certificate of Completion from Nomi Institute and leave with a clear understanding of how to continue building their data skills.
**Datasets and topics may vary based on student interests, while core course content remains consistent.
Sessions will be held from June 8th to July 22nd
On Mondays and Wednesdays, 6:00–7:00 PM.
Weeks 4 and 5, an additional Friday session from 6:00–7:00 PM.
Week 1 — Building Your Data Foundation
Students establish a professional Python workflow and learn how to frame strong analytical questions using data. Emphasis is placed on what distinguishes surface-level analysis from meaningful insight. Students are introduced to their project datasets and begin exploration outside of class.
Week 2 — Health Data and Exploratory Analysis
Using real-world disease and public health data, students conduct exploratory data analysis, examining distributions, identifying patterns, and developing a structured understanding of the data. We discuss how this analysis informs real health and policy decisions.
Week 3 — Economics, Finance, and Deeper Analysis
Students are introduced to economic and financial datasets and learn how data is used to analyze markets, labor, and business performance. Python techniques are extended, and students begin connecting analytical concepts to real-world implications.
Week 4 — Advanced Visualization and Communication + Professional Workshop
Students learn to build clear, professional visualizations and communicate complex findings to non-technical audiences. We examine what makes an analysis compelling and actionable, and apply these standards directly to project work. The week concludes with a professional workshop, where students build or refine their professional profiles (GitHub or LinkedIn).
Additional Friday: Session
Week 5 — Social Science Data and Guest Speaker + Resume Workshop Using social science datasets, students examine how data is used to understand human behavior, social patterns, and systemic issues. A guest speaker shares how analytical skills are applied in real investigative and policy contexts, demonstrating the real-world stakes of working with data responsibly and rigorously. The week concludes with a Resume Workshop, where students develop or polish their resume, highlighting their Data Lab experience and technical skills.
Additional Friday: Session
Week 6 — Project Lab and Group Feedback
Dedicated project sessions focused on refining analysis and strengthening methodology. Each team presents work-in-progress for structured peer feedback, while the instructor provides targeted guidance to ensure analytical rigor and clarity.
Week 7 — Final Presentations and Next Steps
Each team presents its completed project and receives individualized feedback. Students are awarded a Certificate of Completion from Nomi Institute and leave with a clear understanding of how to continue building their skills in data.
**Datasets and topics may vary based on student interests, while core course content remains consistent.
About Your Instructor
Dr. Noimot Ayoub is a PhD Economist and Certified Data Scientist who has served as an Economist at the Federal Reserve Bank of Atlanta, an Economist Trainee at the Federal Deposit Insurance Corporation (FDIC), and a Consultant at the World Bank. She founded Nomi Institute to bring rigorous, real-world data education to students who are ready to think differently about the world around them.
Frequently Asked Questions
Still have questions? Take a look at the FAQ or reach out anytime. If you’re feeling ready, go ahead and apply.
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Data Lab (High School):
Each live session runs 60 minutes. Students should expect to spend approximately 4-5 hours per week on average, two sessions plus a small amount of team project work outside of class. In weeks 4 and 5, there is one additional 60-minute Friday workshop included at no extra cost. This program is designed to fit comfortably into a summer schedule.
Data Lab Advanced (College):
Each live session runs 60 minutes. Students should expect to invest approximately 5–6 hours per week, two live sessions plus independent project work. In weeks 2 and 3, there is one additional 60-minute Friday workshop included. This is a focused, rigorous commitment designed to produce research-quality analytical work by the end of the program.
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Data Lab (High School):
Runs 7 weeks from June 16 to August 1, 2026. Sessions are held on Tuesdays and Thursdays from 12 pm - 1 pm, with select Friday workshops in weeks 4 and 5.
Data Lab Advanced (College):
Runs 7 weeks from June 16 to August 1, 2026. Sessions are held on Mondays and Wednesdays, with select Friday workshops in weeks 2 and 3.
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Whether you are newly curious about data or already accomplished, the curriculum is set up so you can follow easily. Every concept receives a foundational explanation before advancing to sophisticated techniques.
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Core sessions run on Monday and Wednesday for College students, and on Tuesday and Thursday for high school students, both run from 12 pm - 1 pm EST. In select weeks, there is an additional 60-minute Friday workshop. Most students invest 3–6 hours per week, including group project work outside of class.
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Yes; select submissions are reviewed, and you will receive refined comments that highlights strengths while suggesting helpful improvements.
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A completed group data project built in Python, a certificate of completion from Nomi Institute, foundational Python and data analysis skills, a polished resume, and a professional LinkedIn profile, all built during the program.
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Students receive a Certificate of Completion from Nomi Institute upon successful completion of the program, including submission of the final project.
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A laptop and a stable internet connection. All software used in the program is free online.
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Enrollment is capped at a small group students per cohort to ensure every student receives direct attention and meaningful collaboration.
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Yes. The Data Lab is fully online and open to international students. All sessions are held in Eastern Time (ET), so students should ensure they can attend live sessions.
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We understand that plans change. If you need to cancel your enrollment before the first session of the program, you may transfer your enrollment to a future Nomi Institute cohort at no additional cost. Transfers must be requested in writing to dr.noimot@nomiinstitute.com before the program start date.
Once the program has begun, enrollments are non-refundable and non-transferable. No exceptions will be made after the first session.
Nomi Institute reserves the right to cancel or reschedule a cohort in the event of insufficient enrollment. In that case, a full refund will be issued to all enrolled students.
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Yes. High school students are welcome to enroll in the Data Lab Applied Track; however, prior exposure to data analysis and coding is required. Students should have some foundational experience before joining this program.
Have questions about the Data Lab?
Submit the form below, and we’ll follow up with details, next steps, and answers to your questions.