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As companies have embraced data analytics over the past 20 years, the demand for data science professionals has grown dramatically. Many people assume that a traditional degree is the only way to land a job as a data scientist, but a data science boot camp can be an excellent alternative.
As we will discuss in this article, data science bootcamps are one of the best ways to learn actionable skills in a short amount of time.
What is a Data Science Bootcamp?
If you’re considering a data science boot camp, you should first understand what to expect from one of these programs. Some professionals think that boot camps are similar to college, but this is not necessarily the case.
For example, most data science bootcamps are only three to six months long and focus on project-based learning. Instead of numerous classes on theory and information, boot camps focus on teaching students in-demand industry knowledge and skills that they can apply on the job on day one.
Data science camps also emphasize flexibility. The variety of programs adapts to different learning styles and schedules. For example, bootcamp students can study full-time or part-time. They may also prefer either in-person or virtual training. Depending on which option you choose, program duration and costs may vary.
Bootcamp graduates can choose from many paths when looking for their first job in the industry. Common roles for data science bootcamp graduates include:
- Data Scientist
- Data Analyst
- Business analyst
- Data Engineer
- Database Administrator
Who Should Attend Data Science Bootcamp?
Bootcamp students come from a variety of backgrounds. Some are currently working in the technology industry, while others are looking for their first job in the sector.
For this reason, many data science training programs teach the basics first before diving into more complex skills. This provides all learners with the same basic skills needed to succeed at boot camp.
How Much Does a Data Science Bootcamp Cost?
A traditional bachelor’s degree in computer science can cost anywhere between $15,000 and $30,000 per year. In contrast, the average cost for a full training camp is $14,000.
For potential students who are hesitant about the cost of attending a data science boot camp, most programs offer funding options to help offset the cost. For example, BrainStation allows students to pay for the program in installments instead of a lump sum. BrainStation also offers several scholarship opportunities for qualified students.
Talk to the admissions team at your future boot camp to see if you qualify for financial aid or funding offers.
How to enroll in Data Science Bootcamp
Be sure to check out several data science bootcamps before settling on one. Each bootcamp offers its own experiences, projects, and lessons, so it’s important to choose a program that fits your needs. When considering bootcamp options, consider the following factors:
- Experience of instructors
- Opportunities for portfolio work
- Support after graduation
- Cohort makeup
Each of the above factors affects training camp results. After all, the instructors are the most important part of any training camp. When comparing instructors, look for teachers who have worked in the industry and know what skills are needed to succeed as a data science professional.
Are there any prerequisites that must be met to enroll in the Data Science Bootcamp?
Most data science bootcamps do not include prerequisites. However, given how fast-paced and intense these programs can be, it may be helpful to build a basic understanding of data science before starting boot camp.
To prepare for the first day of school, consider brushing up on basic statistics and intermediate math.
What Data Science Bootcamp Teaches You
Compared to traditional higher education, data science bootcamps do not teach much theoretical knowledge. Instead, bootcamps focus on developing applicable skills and familiarity with the technologies that graduates will use on a daily basis.
The topics you study and how you study them depend on which data science bootcamp you choose. Most students in a data science bootcamp will explore some variation of the ideas listed below.
Individual data science bootcamps may teach multiple languages such as Java or C++, but most programs focus on Python.
Python is a general-purpose programming language used for many tasks, including website development and machine learning. Python is also an excellent tool for data scientists to quickly organize and analyze large data sets.
Depending on your instructor, you may also learn additional Python programming tools, such as Python libraries.
Machine learning is another focus area for many bootcamps. With machine learning, you will be able to set up computers to perform tasks automatically without programming. Data science students typically learn skills such as regression analysis and logistic regressions to help with machine learning tasks.
Fundamentals of Data Science
Most people who start a data science boot camp are excited to jump straight into coding, machine learning, or “big data.” However, understanding the basic fundamentals is essential if you want to build a lasting career.
During the first week of boot camp, instructors often teach students how to use probability theory and conduct A/B testing. These basic skills make it easier to tackle more fundamental tasks later in the program.
Bootcamps focus on developing technical skills, but can also teach certain soft skills. For example, data scientists seek to solve problems using information. Data science bootcamp students complete projects that help build their problem-solving skills and allow them to develop their own problem-solving strategies.
You can also learn the following soft skills in a boot camp:
- Written communication
- Verbal communication
- Networking skills
- Joint activities
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Frequently Asked Questions About Data Science Bootcamps
Will a data science bootcamp help me get a job?
Employers hire many data science professionals with college degrees, but technology professionals who complete data science bootcamps instead of computer science degrees can still be competitive job candidates. An Indeed.com survey found that of 1,000 HR managers and technical recruiters, 84% believe bootcamp graduates are just as or more likely to be better than candidates with computer science degrees .
Is Data Science Bootcamp Worth It?
If you’re interested in a career in data science, completing a boot camp might be worth it. Data science bootcamps typically cost less and take less time to complete than traditional college degrees. Bootcamps can also offer more hands-on learning experience.
What is data science used for?
Data science is constantly evolving and has become an important component of any successful business. In its simplest form, data science is used to establish a better understanding of behavior and processes by building and structuring data sets. Data science can also be used to understand concepts such as customer insights and company security.