SIX MONTHS • ONLINE • LIVE 1:1 MENTORSHIP • CAREER-FOCUSED
Data Science Bootcamp: Pay only after you get a data science job.
With deferred tuition and a job guarantee, investing in yourself is risk-free.
We partnered with industry insiders, so you can learn the skills that employers look for. The 500+ hour curriculum features a combination of videos, articles, hands-on projects, and career-related coursework.
Python has become a lingua franca of data science. In this unit, you'll learn to program in Python, how to follow best coding practices, and start using an ecosystem of powerful Python-based tools.
Data scientists spend a lot of time on data wrangling (i.e., acquiring raw data, cleaning it, and getting it into a format amenable for analysis), usually with the help of semi-automated tools. In this unit, you'll learn the most common tools and workflows in Python that simplify and automate this complicated process.
Data science is not just about the math, the algorithms, and the analysis. It's also about telling a good story. In real life, data scientists don't work in a vacuum—there's always a client, internal or external, waiting to act based on the results of their work.
In this unit, you’ll practice the concepts you've learned so far by creating a story out of a data set. You’ll come up with interesting questions you can ask of your data set and use plotting techniques to reveal insights you can use to create a narrative.
Statistics is the mathematical foundation of data science. Inferential statistics helps data scientists identify trends and characteristics of a data set. Not only are these techniques useful for exploring data and telling a good story, but they pave the way for deeper analysis and predictive modeling.
Machine learning (ML) combines aspects of computer science and statistics to extract useful insights from data. It’s what lets us make useful predictions and recommendations, or automatically find groups and categories within complex data sets. In this unit, you’ll learn the major machine learning algorithms (supervised and unsupervised).
As a data scientist, no matter how many algorithms you design or how much data you crunch, ultimately you’ll be writing software. Some companies expect their data scientists to contribute directly to the code base, while others have engineers around to help translate prototype code to production.
In this unit, you’ll learn how to be a good citizen of the code base, with a focus on writing better code, testing and debugging, and working with production systems.
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Our career-focused curriculum, 1:1 calls with your career coach, and mock interviews, will help you land your dream job. You can access these and all our career support services for 6 months after completing the program.
This online data science bootcamp was designed for those with prior experience in statistics and programming, such as software developers, analysts, and finance professionals. All professional and academic backgrounds are welcome.
The Data Science Career Track is a 6-month program. Most students devote 15-20 hours a week to complete the course.
The full tuition of the program is $11,340. If you pay upfront, you get a 13% discount. Remember, if you don’t get a job within 6 months of completion, you’ll receive a full refund. Job guarantee eligibility terms can be found in the FAQs at the bottom of this page.
We know that every person learns differently. You can choose the level of support you need to set yourself up for continuous curriculum progress and career success.
My mentor Danny Wells was an incredible sounding board while I was learning Python, during my capstone ideations, and throughout their execution. The mock interviews forced me to prepare my pitch and served as a great recap of everything I’d learned up to that point. And I can’t possibly overstate the benefit of doing it all remotely while maintaining a job.
Springboard had the four factors that were the most important for me: the ability to learn remotely, the ability to have a flexible schedule so I could still work part-time, dedicated mentors, and Career Services. They did a really good job providing me a structured way to apply for jobs all over the country and ultimately helped me find something that piqued my interest.
Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.
A career transition into data science is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:
Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.
Read the full eligibility criteria and terms here.
The Data Science Career Track will train you for Data Science or technical Data Analyst roles where you will build machine learning models to predict business outcomes.
The Data Analytics Career Track will train you for Data Analyst roles where you will crunch numbers and generate visualizations using tools like Excel, SQL and Tableau.
The Machine Learning Engineering Career Track will train you for Machine Learning Engineer roles, where you will take a machine learning model and deploy it into production.
To see a more detailed comparison of these programs, head here.
There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements). Our two standard payment plans are:
In addition, we have 2 other payment options. These are available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
**All charges will be in USD (based on the above prices).**If you reside outside the U.S., this might carry an additional transaction fee, depending on the bank you use. We display prices in your local currency to give you an estimate of how much you will pay based on prevailing exchange rates, excluding transaction fees.
Yes, we have a financing option available for the Core Path! Students can apply for a loan with our partner Climb Credit, and if approved, use it to pay for tuition. Learn about the application process on Climb Credit’s website here.
We do also have a Deferred Tuition payment plan for the Core Path through Ascent. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you graduate. This option is not subject to interest on payment––you will owe a flat fee of $16,200 once you get a job. This fee will also be broken up into monthly payment of $450/month over 36 months.