Data Science

This is a part-time data course.  

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 70K+ 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.

Who Should Attend
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.

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.

Projects

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.