.png)
Data Science Foundations I
Delve deeper into data science with advanced data processing, regression analysis, and machine learning
Qualification
Duration
Commitment
Skill Level
Delivery
Start Date
Led By
Features
Value
Delve deeper into data
Expand your data science toolkit with intermediate SQL, Tableau, PySpark, and Generative AI tools. From advanced data processing techniques to regression analysis and machine learning, you’ll gain the knowledge and hands-on experience needed to tackle real-world data challenges. You’ll explore big data tools, learn to manage and analyze large datasets and develop the skills to build predictive models that drive business decisions. These courses are designed to push your understanding further, helping you transition from basic analysis to mastering the complex techniques that are essential in today’s data-driven industries.
The U of U // Flatiron School difference
Be mentored by a world-class data scientist
Small group classes (max 5 students)
100% online programs
Program prerequisites: Data Science Essentials
Upon completion of this program, you'll be able to move on to Data Science Foundations II
Curriculum
Industry-approved curriculum to support your journey into data science
Cloud Computing, Generative AI, & Dashboards - 3 weeks
This course focuses on cloud computing for cost-effective, scalable data processing. You'll master technical components like PySpark to integrate Python, SQL, and Spark for handling structured and semi-structured data. Using libraries such as Numpy, Pandas, and PySpark, you'll work with big data and create stunning visualizations with Python libraries like Seaborn. The course also explores advanced data analysis using generative AI and interactive dashboards, culminating in a project that brings big data to life through visualizations.
What you'll learn:
- Create a dashboard using data science methodologies with industry standard tool(s)
- Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
- Utilize programming techniques to process large data samples with (PySpark and Big Data)
Inferential Statistics- 3 weeks
This course teaches statistical inference with Python, covering probability distributions, confidence intervals, and hypothesis testing. You'll apply these techniques to analyze proportions, means, categorical data, and multivariate datasets. The course concludes with a final project where you'll showcase your ability to analyze a multivariate dataset using various statistical inference methods.
What you'll learn:
- Integrate statistical inference of data using the technical programming
- Implement methodologies for statistical inference
- Utilize mathematics, statistics, & probability for data science methodologies to derive insights
Regression - 3 weeks
This course teaches regression techniques for analyzing real-world datasets. You'll master linear and multiple linear regression, learning diagnostics, model evaluation, and advanced techniques like transformations, interactions, and regularization methods such as Lasso and Ridge. The course concludes with a project where you'll build and interpret a multiple linear regression model.
What you'll learn:
- Perform logistic regression with data sets using programming techniques, lasso and ridge
- Compare statistical results for different types of regression with data sets, linear, transformations of linear, and multiple linear regressions
- Utilize mathematics, statistics, & probability for data science methodologies to derive insights
Tuition
Upfront - Save 10%
$3,600
Pay as You Go
$4,000
3 monthly payments of $1,333
FAQs
Yes. The AI & Data Science Certificate (Part-Time) is designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building AI fluency at a sustainable pace. It’s built for working professionals who want to upskill into AI and add technical depth to an existing career without stepping away from their current role.
Flatiron facilitates the employer match. You’ll work approximately 20 hours per week in a production-aligned environment alongside your coursework. Apprenticeships are paid and supervised by a workplace supervisor.
If you have production coding experience – frontend, backend, or full-stack, and you feel the pressure of AI reshaping what it means to be a strong engineer, you likely qualify. This isn’t a beginner course; it’s a rigorous upskilling path for engineers who don’t want to lose momentum. Speak with an Admissions rep to confirm. If you don’t have that background, the Work-Integrated: AI Engineering Immersive is the right work-integrated option for you.
Most programs have no prerequisites. You just need to be 18+, have a high school diploma or equivalent, and have English proficiency. Whether you’re a recent grad, someone transitioning from a non-technical field, or a working professional looking to pivot, you’re eligible. The one exception is the Accelerated AI Engineering Immersive, which requires existing software engineering experience (midlevel or higher) because it’s built for engineers who are already in production environments.
Certificate programs are purely educational. You learn, build a portfolio, and graduate ready for the job search. If you’re entering the workforce or transitioning from a non-technical field and want a clear, structured path, this is for you. Work-integrated programs combine coursework with a paid apprenticeship, so you gain work experience and income during the program. This is a strong fit for professionals who need income continuity during a pivot, or experienced engineers who want production AI exposure from day one. Both award the same professional certificate upon completion.
Still have questions?
Our team is here to help.
Start Building What's Next
Join 20,000+ Flatiron alumni now working in AI, data science, software engineering, and cybersecurity across industries.