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Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought after fields in tech.
Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.
Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.
Take advantage of the growing demand for data and use the guidance and resources of our in-house career coaches to help you find work.
Our educational excellence is a community effort. When you learn at GA, you can always rely on an in-house team of experts to provide guidance and support, whenever you need it.
Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.
Taking on new material isn’t always easy. Through office hours and other channels, our TAs are here to provide you with answers, tips, and more.
Our alumni love their Course Producers, who kept them motivated throughout the course. You can reach out to yours for support anytime.
Our Immersive students graduate ready to pursue careers in many different areas of the data profession—including data analysis, business intelligence, and data science.
We connect each of our Immersive graduates to a career coach, job-readiness training, employers and professionals, and new opportunities to hone skills.
Optimize your resume with support from an in- house career coach.
Train for technical interviews and salary negotiations.
Visit local companies and organizations that focus heavily on data.
Participate in expert panel discussions.
Engage with our global network of companies.
Showcase your work at Meet & Hires and other events.
Through presentations, discussions, and interactive lessons, we break up our daily schedule to give you a rounded understanding of the field.
9:30
am
Introduction to Regression Models
Learn key skills and methods through lectures, discussions, and activities.
Learn key skills and methods through lectures, discussions, and activities.
12
pm
Review Session
Review morning lessons and labs. (optional)
Review morning lessons and labs.
(optional)
1
pm
Apply Regression Analysis
Practice new skills, work on group projects, and receive extra help from instructors.
Practice new skills, work on group projects, and receive extra help from instructors.
4
pm
Daily Wrap-up
Reinforce the key concepts of the day.
Reinforce the key concepts of the day.
5
pm
Meetup
Grow your network with meetups, happy hours, and community-wide hackathons. (optional)
Grow your network with meetups, happy hours, and community-wide hackathons.
(optional)
In this program, you’ll take on real world problems by analyzing data sets for insights and presenting findings using statistics, programming, data modeling, and business knowledge.
Gather, store, and organize your data using your basic data science toolkit: SQL, Git, and UNIX.
Perform visual and statistical analysis on data using Python and its associated libraries and tools.
Explore the differences between supervised and unsupervised learning through the application of various modeling techniques such as classification, regression, and clustering.
Apply your analysis and modeling skills to real world data problems in fields like finance, marketing, and public policy.
Learn to create reproducible presentations and reports and use data visualisation tools to present your findings to key stakeholders.
Request a detailed syllabus.
These professionals are innovators in this influential field and will help you navigate its inner workings, technologies, and trends.
Washington, DC
Denver
Riyadh, Saudi Arabia & Seattle
San Francisco
Singapore
Need payment assistance? Our financing options allow you to focus on what matters: your goals.
Apply for a 3-year, fixed-rate, merit-based loan* for your tuition and cost-of-living financing. Current income not factored into financing approval for Immersive students.
Apply for a 5- or 10-year academic, merit-based loan, defer payment while in school, and gain free access to career services from Meritize.†
Need advice? Our Admissions team is here to help.
*Must be a U.S. citizen or permanent resident; approval pending state of residency.
†Must be a U.S. citizen or permanent resident; approval pending state of residency.
Find out if this Immersive is right for you and your goals. Chat with the GA team, discover the curriculum details, and get a glimpse into student life.
We look forward to meeting you. In the meantime, our admissions team will reach out soon to discuss our courses and your goals.
We love questions, almost as much as we love providing answers. Here are a few samplings of what we’re typically asked, along with our responses:
People are using data to take on the world’s biggest business and social problems—everything from public policy and robotics to dating apps.
As a result, organizations are moving quickly to build their own in-house data teams. Over the last four years, jobs requiring the use of data analysis and data management skills and tools have doubled.
The program covers skills including: Git, SQL, UNIX, Python, machine learning, data modeling techniques.
Call us at +1 (202) 517-1777.
The course syllabus is on its way, and our admissions team will reach out shortly to discuss the course and your goals.
Meanwhile, we’d love to know a little more about you.
Our admissions team will call you soon to chat about the course. To reach us directly, please call us at +1 (202) 517-1777 or email admissions.
Our admissions team will reach out shortly to discuss the course and your goals.
Meanwhile, we’d love to know a little more about you.
Our admissions team will call you soon to chat about the course. To reach us directly, please call us at +1 (202) 517-1777 or email admissions.
We’ll notify you about the next session in your city. Until then, our admissions team will reach out to discuss our courses and your goals.
Meanwhile, we’d love to know a little more about you.
Our admissions team will call you soon to chat about the course. To reach us directly, please call us at +1 (202) 517-1777 or email admissions.