Data Science
Immersive

Learn about the course below
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Talk to Admissions +1 (202) 517-1777

Become a Data Scientist

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.

Learn data science in an immersive environment

Learn From Experts

Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.

Learn to build real apps

Gain Hands-On Experience

Develop hard skills like Unix, Git, SQL, Python, machine learning, and modeling techniques while creating your own data projects and applications.

Find a job with the help of our career coaches

Get Hired

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.

Meet your support team

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.

  • instructor

    Instructors


    Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.

  • teaching assistant

    Teaching Assistants


    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.

  • producer

    Course Producers


    Our alumni love their Course Producers, who kept them motivated throughout the course. You can reach out to yours for support anytime.

Career Guidance

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.

Job & Career
Coaching


Optimize your resume with support from an in- house career coach.
Train for technical interviews and salary negotiations.

Connections to
Resources


Visit local companies and organizations that focus heavily on data.

Participate in expert panel discussions.

Networking
Opportunities


Engage with our global network of companies.

Showcase your work at Meet & Hires and other events.

Student Life

Through presentations, discussions, and interactive lessons, we break up our daily schedule to give you a rounded understanding of the field.

9:30
am

Class

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

Speaker Series

Lunch with Guest Speaker


Hear from industry insiders during talks and panel discussions (optional)

Hear from industry insiders during talks and panel discussions

(optional)

1
pm

Data Lab

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

Class

Daily Wrap-up


Review and reinforce key lessons of the day

Review and reinforce key lessons of the day

5
pm

Community

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)

915-lounge GA

What You’ll Learn

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.

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Git, UNIX, & Relational Databases

Gather, store, and organize your data using your basic data science toolkit: SQL, Git, and UNIX.

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Data Analysis & Python

Perform visual and statistical analysis on data using Python and its associated libraries and tools.

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Machine Learning, Modeling Techniques, & Big Data

Explore the differences between supervised and unsupervised learning through the application of various modeling techniques such as classification, regression, and clustering.

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Critical Thinking & Synthesis

Apply your analysis and modeling skills to real world data problems in fields like finance, marketing, and public policy.

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Visualization, Presentation, & Reporting

Learn to create reproducible presentations and reports and use data visualisation tools to present your findings to key stakeholders.

Request a detailed syllabus.

Fund Your Future

Need payment assistance? Our financing options allow you to focus on your goals instead of the barriers that keep you from reaching them.

Let us figure out the best option for you.

¹ Must be a US citizen; approval pending state of residency.
⁴ Must be a US citizen; approval pending state of residency.
² Must be a U.S. Citizen or Permanent Resident.

Financing options differ in each market and are only available to students accepted into our programs. Contact a local admissions officer for more info.

Visit Campus

See if this program is a fit for you. Meet the GA team, get an overview of the program curriculum, and chat with other students thinking about the course.

Dat

Data Science Immersive Info Session

GA D.C., 1776, 1133 15th Street NW, 8th Floor, Washington, D.C. 20005, United States

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Keep an eye on your inbox. We'll be sending you a reminder as the event approaches. See you there!

25
Wednesday, 25 January 6:30pm
GA D.C., 1776, 1133 15th Street NW, 8th Floor, Washington, D.C. 20005, United States
GA studio

Get Answers

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:

Why is this course relevant today?

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.

What practical skill sets can I expect to have upon completion of the course?

The program covers skills including: Git, SQL, UNIX, Python, machine learning, data modeling techniques.

Whom will I be sitting next to in this course?

  • Professionals, analysts, advanced degree holders, researchers, software engineers, and individuals interested in shifting gears to work in data
  • People as passionate about learning as you are
  • Future collaborators and friends

What comes with tuition?

  • 12 weeks of training in Data Science skills, methods, and practices onsite at our campus
  • Access to our Global Outcomes Network, a team dedicated to helping you find a job in any city with a GA campus
  • Access to our proprietary job-preparation programming
  • Additional Alumni perks

View all FAQs

More Questions?

Call us at +1 (202) 517-1777

Contact Admissions

Dig Deeper Into The Curriculum

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