Delve deeper into data science with advanced data processing, regression analysis, and machine learning.
Financing and flexible payment options available. Contact Us
Delve deeper into data science with advanced data processing, regression analysis, and machine learning.
Financing and flexible payment options available. Learn more
Foundations I (9 weeks) and Foundations II (12 weeks) take you beyond the basics of data science and AI, guiding you toward building your own AI models. With instruction from an industry expert, you will explore advanced machine learning, large language models, natural language processing, and neural networks. You will complete the program with a portfolio of original, industry-level project.
This curated path equips you with the tools and techniques to become a data science powerhouse. Master big data processing with PySpark and cloud tools. Craft interactive visualizations using Python libraries and cutting-edge AI for a dynamic data storytelling experience. Learn to analyze data with Python, performing hypothesis testing, building confidence intervals, and interpreting results from complex datasets. Dive deep into regression analysis and foundational machine learning models. Master linear regression, explore advanced techniques, and build powerful supervised learning models with Scikit-Learn. Delve into intermediate machine learning, explore NLP, time series, and neural networks, or conquer advanced neural network applications.
Upon completion of this program, you'll be able to move on to AI & Data Science Capstone
Program prerequisites: AI & Data Science Essentials
FT: 1 week | PT: 3 weeks
This course dives into cloud computing's cost-effective, scalable ecosystem for distributed data processing. Master technical components like PySpark to bridge Python, SQL, and Spark, to manipulate structured and semi-structured data. Leverage libraries to Numpy, Pandas, and PySpark to pull in "big data". You will craft stunning visualizations with Python libraries like Seaborn. Finally, explore the cutting-edge of data analysis with generative AI and advanced dashboards, culminating in a project that brings big data to life through interactive visualizations.
FT: 1 week | PT: 3 weeks
In this course you will perform statistical inference with Python. This course equips you with the foundational theory and practical skills to analyze data. Learn about probability distributions, confidence intervals, hypothesis testing, and more. Apply these techniques to single proportions, means, and categorical data. Explore advanced methods for two or more groups and tackle multivariate datasets. This culminates with your final project where you'll showcase your ability to use a multivariate dataset and perform a myriad of the appropriate methods of statistical inference.
FT: 1 week | PT: 3 weeks
This course equips you with the skills to tackle real-world datasets with regression. Master linear regression, exploring diagnostics to ensure model validity. Delve into multiple linear regression, learning to evaluate, diagnose, and leverage its predictive power. Discover advanced techniques like transformations, interactions, and model selection. Explore bias-variance tradeoff and master regularization methods like Lasso and Ridge regression. Finally, in the culminating project, showcase your expertise by building and interpreting a powerful multiple linear regression model.
Flexible small group classes are the best way to learn from top industry facilitators in a fun, collaborative environment, while still getting plenty of personalized feedback.
Upfront
$4,700
Pay as You Go
$5,200
3 monthly payments of $1,734
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1. Take the Assessment: Take our short 15-minute cognitive assessment. Don’t worry, no studying or technical skills required! This step is required for admission.
2. Create a Genius Account: You'll receive an email from Genius, a platform we use to guide you along the registration process. You'll create an account and use it to register through our course catalog.
Yes, the $99 deposit is required to secure your seat in your chosen cohort. Here's how it works:
The good news is that your deposit counts toward your total tuition cost. This deposit ensures your place while demonstrating your commitment to your tech education journey.
Yes! Upon the completion of each program in the pathway, you will receive a Credly digital badge from SMU and a completion certificate. 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.
Software:
Visual Studio will be used in this program and can be downloaded for free.
Hardware:
Students will need a computer that meets the minimum requirements for Visual Studio 2022.
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 analyze data, develop software, 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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