Data Science Short Course
Demand for data scientists has increased 663% in five years, and the call for machine learning skills is up 809%.
Get the Skills Today’s Employers Demand
Thousands of companies need team members who can transform data sets into strategic forecasts. Meet that need. Learn to apply machine learning techniques to fuel predictive models like customer segmentation and recommendation engines.
Tap Into a Valuable Professional Network
Form real connections that can change the course of your career. Meet practitioners and peers who can help you succeed in the data industry through our global alumni network. Graduate with an industry-recognized GA certificate, and join an exclusive community.
Let Your Employer Foot the Bill
More than 45% of our part-time students receive tuition reimbursement from their companies — you could, too. We can send you an employer sponsorship package to show your manager the advantages of learning with GA.
Choose a Format Designed for Your Busy Life
Join this 10-week, evening data science course online or at one of our campuses around the globe. Or, take part from the comfort of home — wherever you’re based — via our Remote classroom.
Statistics source: Burning Glass, The Hybrid Job Economy. The study covers the time period of 2013–2018.
Hundreds of Premier Companies Trust GA's Data Programs to Train Their Teams — Here Are Just a Few
Inside Our Best-in-Class Curriculum
Designed With — and for — Data Professionals
Concentrate on the most important tools for data scientists on the job. GA’s data science advisory board regularly curates the best practices and innovative teaching approaches of our entire expert network to emphasize real-world relevance and meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they’ll face in the field.
Harness the Predictive Power of Data
Tailored for students with quantitative or programming backgrounds, this course dives into the essentials of data science: Python programming, exploratory data analysis, data modeling, and machine learning. Get the hands-on experience you need to synthesize extremely large data sets, build predictive models, and tell a compelling story to stakeholders.
Get a Head Start With Pre-Course Prep Lessons
Once you enroll, we equip you with an additional 25 hours of online, self-paced preparatory lessons to set you up for success. Dive into the fundamentals of Python programming, statistics, and applied math. You’ll gain a common vocabulary to start collaborating with classmates on day one.
Real-World Portfolio Projects
Graduate with a polished capstone project that uses machine learning to solve a data problem. Develop a predictive model, technical documentation, and stakeholder presentation.
Individualized Instructor Support
Get guidance, feedback, and more from experts who are dedicated to supporting your learning and career goals. Instructors are on hand in class and during office hours to offer real-time technical assistance and help you turn ideas into action.
Global Network of 97K+ Alumni
Create connections with peers that last well beyond your time in the classroom. As part of the GA alumni community, you’ll gain access to networking events and workshops to keep evolving your career for years to come.
“The material we learned is relevant and meaningful. I learned a lot and will put much of what I learned into practice where I work. This course has given me the tools to be a more technical analytics leader in my organization.”
Khaled Jafar, GA Austin Graduate
Senior Director of Business Transformation Analytics, Dell Technologies
These data science professionals and entrepreneurs bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job.
GA instructors are committed to providing personalized feedback and support to help you gain confidence with key concepts and tools.
Case Study: Guardian Reskills Actuaries as Data Scientists
Problem: As one of the largest mutual life insurance companies in the United States, Guardian sought to take advantage of its vast data resources and help shape the digital future of the industry.
Solution: General Assembly delivers targeted training to transform Guardian actuaries into data scientists. Participants apply predictive analytics and data science techniques to tackle real business problems and identify opportunities to derive value from data.
“We’re a 159-year old company. Our overarching goal — and the driver behind our transformation initiatives — is to stay relevant to our consumers and partners for another 150 years.” — Gail Kelman, Head of Learning and Development, Guardian
Case study source: Rethinking the Build vs. Buy Approach to Talent: How Savvy Employers Are Building Tech Skills From Within, by Josh Bersin, Senior Advisor, Whiteboard Advisors
Flexible Financing Options
Receive full or partial tuition reimbursement from your company.
As low as
Per your employer’s benefits
Total cost of course:
As low as
*Loan approval subject to eligibility.
Divide tuition into two, three, or four easy payments.
As low as
Want more information about tuition & financing in your area?
Our Admissions team is here to help.
Frequently Asked Questions
Why is a data science skill set relevant today?
Companies of all stripes use data science to take on today’s biggest challenges, tackling everything from public policy and robotics to dating and eCommerce. As a result, organizations are moving quickly to build robust in-house teams of data scientists and advanced analysts, and there’s not enough talent to go around.
According to Burning Glass, “Data science and analytics skills are now widely in demand in decision-making roles, including managers across a range of industries. In fact, our data shows that more than 1.7 million job postings asked for data science skills in 2018.” Learning this future-proof skill set can help you enter the next stage of your career, whether that’s advancing in your current profession or exploring an exciting and lucrative field.
What are the backgrounds of data science students?
This course is designed for data professionals who want to perform complex analysis to power predictions and add marketable skills to their resume. You’ll find a diverse range of students in the classroom:
Data analysts, marketing analysts, BI analysts, or consultants who work with big data and need to upgrade their skills.
Software engineers who want to apply their programming skills toward a new career.
Other professionals with a quantitative background eyeing a transition to tech.
Ultimately, this program attracts a community of eager learners who have an interest in manipulating large data sets and forecasting to impact strategy and bottom lines.
What does my tuition cover?
Here are just some of the benefits you can expect as a GA student:
60 hours of expert instruction designed to build a well-rounded foundational data science skill set.
Up to 25 hours of self-paced pre-work to brush up on programming fundamentals and statistics.
Robust data science coursework, including expert-vetted lesson decks, lab materials, and more. Refresh and refine your knowledge throughout your professional journey as needed.
A portfolio-ready capstone project built with support from your instructor.
Individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA’s dedicated team.
Exclusive access to alumni discounts, networking events, and career workshops.
A data science certificate to showcase your new skill set on LinkedIn.
Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the data science field.
Will I earn a certificate?
Yes! Upon passing this course, you will receive a signed certificate. Thousands of GA alumni use their data science certificate to demonstrate skills to employers and their LinkedIn networks. GA’s Data Science course is well-regarded by many top employers, who contribute to our curriculum and use our data courses to train their own teams.
Who teaches this course?
Our instructors represent the best and brightest data professionals from top companies like Atlassian, Capital One, and Deloitte. They combine in-depth experience as practitioners with a passion for nurturing the next generation of talent.
We work with a large pool of experienced instructors around the world. Please speak with our Admissions team to find out who is teaching the upcoming course in your location.
Are there any prerequisites?
This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics.
Upon enrolling, you’ll complete a short onboarding task and, based on your results, may be advised to take an introductory Python workshop. You’ll also complete up to 25 hours of online preparatory lessons that will ensure you have the foundations to dive into rigorous coursework.
Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
Can I work full-time while enrolled in this course?
Yes! All of our Short Courses are designed for busy professionals with full-time work commitments. Depending on your location, classes meet twice per week in the evenings, or all day on Saturday. You may opt to take this course in-person at one of our 20+ campuses or online via our Remote classroom setup.
You will be expected to spend time working on homework and projects outside of class hours each week, but the workload is designed to be manageable with a full-time job.
If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.
Which format should I take this course in — on campus or online?
It’s up to you! Our Remote courses offer a learning experience that mirrors GA’s on-campus offerings but allow you to learn from the comfort of home. If you don’t live near a GA campus, have a busy travel schedule, or just want to save yourself the commute, a Remote course could be a good option for you, if available in your market. You’ll still get access to the expert instruction, learning resources, and support network that GA is known for.
If you prefer to learn alongside your peers and can make it to campus twice a week, our in-person courses allow you to take advantage of our beautiful classrooms and workspaces.
Our Admissions team can advise you on the best format for your personal circumstances and learning style.
What are my financing options?
We offer a variety of different financing options, including installment plans, 0% Monthly interest loans, and pay-upfront discounts, so you can focus on what counts — your education. Plus, more than 45% of our part-time students receive full or partial tuition reimbursement from their employers. Speak with our Admissions team to learn more and find the best fit for you and your finances.
What projects will I work on during the course?
For your capstone project, you’ll apply machine learning techniques to solve a real-world problem. You’ll develop a model, technical documentation, and stakeholder presentation, and graduate with a polished, portfolio-ready data science project to showcase your skills. We encourage you to tackle a problem that’s related to your work or a passion project you’ve been meaning to carve out time for.
Throughout the course, you’ll also complete a number of smaller projects designed to reinforce what you’ve learned in each unit.
How does this course relate to GA’s other data programs?
This Data Science course assumes some prerequisite knowledge and is designed for professionals who already work with data and want to perform more complex analysis involving computation.
If you’re searching for a more entry-level course, Data Analytics teaches beginners how to perform rigorous analysis with Excel, SQL, and Tableau.
For those committed to a career change, the full-time Data Science Immersive program provides the most direct pathway to data science and other advanced analytics roles.