Delve deeper into data science with advanced data processing, regression analysis, and machine learning. Build on your foundational knowledge to master big data tools and techniques that are essential in today's data-driven world.
Financing and flexible payment options available. Learn more
As you progress through these courses, you’ll delve deeper into the data science toolkit, including 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 SMU x Flatiron School difference:
Program prerequisites: Data Science Essentials.
To succeed in these courses, you should have:
Upon completion of this program, you'll be able to move on to Data Science Foundations II.
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:
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:
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:
Flexible small group classes are the best way to learn from top industry instructors in a fun, collaborative environment, while still getting plenty of personalized feedback.
Upfront
$3,600
Pay as You Go
$4,000
3 monthly payments of $1,334
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Yes! Upon the completion of each program in the pathway, you will receive a Credly digital badge from SMU and a certificate from Flatiron School. Digital badges can be used in email signatures or digital resumes, and certificates can be displayed on portfolio websites and social media sites such as LinkedIn, Facebook, and Twitter.
Thousands of our community members use their program certificates and badges to demonstrate skills to potential employers — including our hiring partners — along with their LinkedIn networks. Our curriculum is powered by Flatiron School, whose programs are well-regarded by many top employers, who contribute to our curriculum, hire our community, and partner with us to train their own teams.
The data science essentials program.
It is VERY occasionally possible to skip the essentials program and go directly to Foundations I. However, we highly recommend that most students do not skip Essentials as it covers a tremendous amount of information and skills that will be used throughout the entire career pathway program and will require some catching up if skipped.
The essentials program is still difficult and covers a ton of material that is necessary for proceeding in the following programs and won't be reviewed in Foundations. All of the future program material will build upon the essentials.
If you would like to be considered to enter directly into the Foundations-level programs, you'll be required to submit materials demonstrating your proficiency in the materials covered in the Essentials program.
Whether you want to build games, design products, prevent the next cyber attack, or create the next internet-breaking AI, we provide the training to bring your ideas to life.
Let's build your future together.
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