Data Science
Immersive
12 Week, Full-Time Career Accelerator in
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 From Experts
Create predictive models by learning to wrangle, analyze, and visualize data from our team of professional Data Scientist instructors.
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.
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.
-
Instructors
Learn industry-grade frameworks, tools, vocabulary, and best practices from a teacher whose daily work involves using them expertly.
-
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.
-
Course Producers
Our alumni love their Course Producers, who kept them motivated throughout the course. You can reach out to yours for support anytime.
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.
Git, UNIX, & Relational Databases
Gather, store, and organize your data using your basic data science toolkit: SQL, Git, and UNIX.
Data Analysis & Python
Perform visual and statistical analysis on data using Python and its associated libraries and tools.
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.
Critical Thinking & Synthesis
Apply your analysis and modeling skills to real world data problems in fields like finance, marketing, and public policy.
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.
