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Data Science Essentials
Begin your journey into data science and learn to analyze large data sets and create compelling visual stories
Qualification
Duration
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Skill Level
Delivery
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Value
Unlock the power of data
Start your journey into the world of data science by mastering the essentials: Python, SQL, and data visualization. These courses are designed to equip you with the foundational skills needed to explore, manipulate, and analyze data. You’ll dive into mathematical concepts, and descriptive statistics, learning to extract meaningful insights from complex datasets. Whether you’re solving business problems or telling stories with data, these courses lay the groundwork for a successful career in data science. By the end, you’ll be confident in your ability to approach data-driven challenges and create impactful visualizations that communicate your findings effectively.
The U of U // Flatiron School difference
Mentorship by a professional data scientist
Small group classes (max 5 students)
100% online programs
Prerequisites: No prior experience required. These courses are designed for beginners.
On completion of this program, you may choose to continue on to Data Science Foundations I
Curriculum
Industry-approved curriculum to support your journey into data science
Introduction to Python - 3 weeks
This introduction to Python course covers essential programming concepts for data science. You'll learn scripting basics, algorithms, and data structures like tuples and dictionaries, and explore Python libraries and functions. The course ends with a project where you'll develop a Python script to analyze data, preparing you to tackle real-world data science challenges.
What you'll learn:
- Apply the basics of programming language methodologies to real world scenarios
- Demonstrate foundational skills for scripting with a programming language, python
Introduction to Data Science - 3 weeks
In this course, you'll dive into data analysis and visualization using Python. You'll learn statistical measures, explore data types, and master techniques with the pandas library. You'll also use Seaborn and Matplotlib for visualization, handling qualitative, quantitative, and multivariate data. The course concludes with a project where you conduct a full exploratory data analysis, applying descriptive analysis and visualization skills, and object-oriented programming principles. By the end, you'll be skilled in data insights, advanced analysis, and effective visualization.
What you'll learn:
- Implement foundational statistical measurement with data using scripting
- Demonstrate gathering insights from data with visualizations
- Integrate object oriented programming (OOP) with Python for data cleaning and analysis
Introduction to SQL - 3 weeks
This course covers SQL, data engineering, database administration, and data analysis. You'll learn math, probability, and statistics for data science and advance your Python skills for data cleaning and analysis. Starting with SQL basics, you'll progress to advanced topics like filtering, ordering, and joining data. The course concludes with a project where you apply SQL queries in a Python environment, demonstrating your understanding of database concepts and preparing you for real-world data science challenges.
What you'll learn:
- Utilize industry standard techniques to analyze data with, programming language (python), structured query language (SQL), and the cloud.
- Explore and manipulate data with mathematics, probability, and statistics
- Analyze data for a business problem with visualizations with a dashboard
Tuition
Upfront - Save 10%
$2,700
Pay as You Go
$3,000
3 monthly payments of $1,000
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.
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