Online Atlanta Data Science Boot Camp
Learn Data Science and Analytics in 24 Weeks
Georgia Tech Data Science and Analytics Boot Camp is committed to preparing learners for success. With the rise of data in today’s economy, our program focuses on teaching learners the practical and technical skills needed to analyze and solve complex data analytics and visualization problems.
With classes held during convenient evening and weekend hours, you can advance your skill set even if you’re currently employed or in college.
Is this data science and analytics boot camp right for you?
Learning a new skill set is not an easy feat. But if you’re passionate and willing to work hard, Georgia Tech Data Science and Analytics Boot Camp could be the program you’re searching for — no matter where you are in life:
- You’re a data professional and want to further your career by gaining a new set of technical skills.
- You’re currently in a business where data is crucial to the bottom line and want to make a bigger impact.
- You want to learn more about visualizing social, consumer, or popular trends.
- You aspire to transition into the field of government, media, or healthcare — and are looking for a way to do it.
- You’re a full-time student with the desire to maximize your skills and grow your knowledge.
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What is it like to study data science at an online boot camp?
One of the main advantages of attending an online data science and analytics boot camp is flexibility. Through a fully online, live classroom experience, the classroom comes to you, no matter where you are. Through our part-time format, you’ll attend classes conveniently held during evenings and weekends to fit around your existing schedule.
Going virtual does not mean you will miss out on instructional support. Instead, you can benefit from interactive, instructor-led classes and assistance from a dedicated team of instructors, teaching assistants, and a free tutor network to help guide you on your journey. Your cohort of classmates will be an additional source of assistance as you work together and collaborate to build new projects.
Each week, you’ll dive into new topics and concepts, applying what you’ve learned on real-world problems through hands-on projects. These comprehensive projects will help you build a professional portfolio. Stay on course and confidently work your way through the curriculum.
In-demand data science and analytics skills you’ll gain
You’ll learn from skilled instructors and gain real-world experience by collaborating with your peers on complex projects. Not only that, but you will also build a comprehensive portfolio along the way, giving you the confidence you need to tap into the industry. The data science curriculum will dive into the foundational skills for data analytics and visualization, including:
Extract, Transform, Load (ETL)
Front End Web Visualization
Geomapping with Leaflet.js
Business Intelligence Software
Big Data Analytics with Hadoop
*The material covered is subject to change. Our academic team adjusts to the market demand.
How to Apply to the Data Science Boot Camp
- Submit Form. Fill out the contact form and select the program you’re interested in to request more information.
- Interview and Application. A member of the admissions team will connect with you to discuss program details and answer any questions you may have. Then, you will fill out a short application.
- Assessment. Complete a basic multiple-choice critical thinking and problem-solving assessment. No prior industry knowledge is required.
- Enrollment. Once you are accepted into the data science boot camp, you will determine which financial option is right for you. Secure your seat by signing your enrollment agreement and paying your deposit.
Frequently Asked Questions
Our data science and analytics boot camps in Atlanta and Peachtree Corners are being held via our tried and tested virtual classroom experience. Call us at (404) 369-3107 for more information on how to apply, or visit our Online Experience page to learn more.
No, applicants do not need to be Georgia Tech students. The Data Science and Analytics Boot Camp is offered through Georgia Tech Professional Education.
No data analytics or programming experience is required. It is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.
Data Science Boot Camp Schedule and Dates
Part-Time Class Schedule
- 24-week program
- Data science classes are held two weekdays from 6:30 p.m. to 9:30 p.m. and Saturdays from 10 a.m. to 2 p.m.
- Full-Time December 6, 2021
- Part-Time December 13, 2021
- Part-Time December 7, 2021
- Part-Time November 15, 2021
- Part-Time December 13, 2021
- Part-Time December 13, 2021
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General Information About Data Science and Analytics
What is Data Science?
Data science combines computer science and statistics. By integrating programming skills, machine learning, mathematics, and statistics, professionals are able to extract meaningful insights out of large data sets that are too complex for traditional methodologies. This vast amount of information is also known as “big data,” a term that’s popularly used in the industry to describe collections of data that are too massive to be analyzed on one computer.
Every day, 2.5 quintillion bytes of data are created. With the rise of rapidly advancing technology, businesses need to collect, analyze, and derive meaning from raw data now more than ever before.
Today, there are many in-demand job roles in the field, including data analyst, data scientist, business analyst, and data engineer.
Data Science vs. Data Analytics
There are many overlapping disciplines within the field of data, so much so that it can be hard to distinguish between specific topics. When it comes down to data science and data analytics: what’s the difference between the two?
Data science is a broad term, often overarching multiple fields related to mining big data. There are many skills required for data science including math, statistics, and the tools necessary to sort and manipulate data including R and Python programming. The objective is to find the right questions to ask, in order to discover new patterns or perspectives that can help organizations make valuable connections.
While data analytics is related to data science, it is more focused, relying on automation, such as data cleaning, data visualization, and data modeling, to sort through information and use it to answer tangible questions with actionable insights. By combing through data using popular tools like SQL and Excel, its focal point is business intelligence and strategy.
Georgia Tech Data Science and Analytics Boot Camp covers the foundational skills needed to analyze and solve complex data problems by diving into fundamental statistics, Python and R programming, machine learning, Tableau, front end web visualization, and more.
Data Science Graduate Degrees vs. Boot Camps
So you’re thinking of becoming a data scientist and have decided to invest in your education. You’ve narrowed down your options to obtaining a data science graduate degree or attending a bootcamp.
Like with many careers in today’s ever-evolving job market, there is no one tried and true way to enter the field, and securing a role as a data scientist requires extensive training and experience. How do you decide which path is the better fit for you to take the first step? Let’s break down your options for gaining the foundational skills to enter the data field:
- Boot camps are fast-paced, short-term programs that can take anywhere from a few hours to several months to complete. The curriculum primarily consists of project-based coursework with an emphasis on real-world problems led by instructors with industry experience. Due to the rigorous and accelerated nature of these courses, classes are usually limited to mastering high-level key skills and building the tools to continue expanding on your knowledge after the course ends.
- A data science master’s degree takes one and a half to two years to complete. Assignments incorporate team-based learning and individual research centered around theory and applied skills. With the volume of students enrolled in such programs, job placement following graduation is competitive and acquiring practical experience is highly recommended.
- A PhD in data science ranges from four to seven years. Students are designated thesis supervisors that delve into complex problems, and coursework is tailored to theory and personal research. Choosing and preparing for a thesis requires serious thought and the ability to demonstrate your academic strengths, so incorporating data analysis, programming, and practical experience is necessary.