Data science is a multidisciplinary field that combines computer science and statistics. With so much data being produced every day, data science makes it possible to draw useful insights from datasets which may be too large for traditional statistics to analyze. This data is often referred to as “big data,” and can include anything from analyzing complex genomic structures to interpreting handwriting to optimizing a marketing strategy. And data science is not limited to just numbers! Data science finds patterns in all unstructured sets, including text, images, and audio files.
Many Data Scientists start their careers in academia – if you have a bachelor’s degree or PhD in a quantitative field, then you’re already close to a data science career. A data science fellowship like The Data Incubator or Insight Data Science would be fantastic options.
Most data science bootcamps require students to have a degree in STEM and an aptitude for math and statistics. If you don’t have a quantitative degree, then you should sharpen your math skills like linear algebra, calculus, statistics, and probability. Then, you’ll be ready to apply to a data science bootcamp.
While a Master’s in Computer Science with a specialization in Data Science typically takes 3 years to complete, data science bootcamps are typically intensive 3- to 6-month programs. Data science bootcamps often offer career assistance, and prepare graduates for entry-level and junior data science jobs, such as Data Analyst, Data Scientist, and Data Engineer.
A data science bootcamp is not a traditional coding bootcamp. In addition to learning programming languages, such as Python and/or R, data science bootcamps teach students how to extract valuable knowledge from large datasets using analytical and programming skills.
The best data science course for you depends on your own learning style, career goals, availability, etc. Here's our advice for choosing the data bootcamp:
Red Flags – instructors don't have enough experience or qualifications, projects don't use real-world datasets, or the bootcamp can't tell you about past student career success.
|“I would definitely do it again in a heartbeat. It was definitely worth the money. The learning environment, having the type of classmates that you can learn from, the instructors — you definitely couldn’t have gotten it just by learning on your own.” Itelina, graduate of Metis|
|“I can say that, for me, 100% it was worth it – but I will say the boot camp is also about the work you’re putting in and the goals that you have. I really wanted to sponge off of the people around me – not just the teachers, but also all these PhD students around me. It was the most intelligent group of people I’ve been around in such a small space before. I’ve never had such an amazing opportunity.” Sumanth, graduate of NYC Data Science Academy|
|“I definitely think I needed Galvanize. Because I wanted to break into the tech industry, having Galvanize on my resume along with the skills I learned there, bolstered my ability to get a job.” Rosie, graduate of Galvanize|
|“For me, It was totally worth it. I would do it all over again. IE in particular taught me a lot more than how to use Python and SQL. It teaches the technical skills, but at the same time it gives you access to professors that are going to make the process a lot less frustrating and more fun so that you have the motivation to keep going. Plus all of the extras. You get to network with companies and those companies come to give talks. I made a lot of friends in this bootcamp, too.” Inna, graduate of IE Data Science Bootcamp|
Full-time, immersive data science bootcamps typically cost between $10,000 and $20,000. Many data science bootcamps offer scholarships and financing options to make tuition affordable. There are also fellowships and free data science bootcamps, such as Insight Data Science and The Data Incubator.
With everyone from businesses to non-profits to the government collecting data, there is high demand for turning that data into smart business decisions. There is a wide variety of data science jobs, and if there’s one thing that we’ve learned after interviewing so many data science bootcamp graduates, it’s that no two companies use the exact same job titles. Common job responsibilities of data scientists include data engineering, data cleaning, and data analysis. Here is a list of the most frequent data science job titles for bootcampers:
|Data Science Job||Average Salary|
|Data Science Analyst||$80,265|
|Senior Data Scientists||$105,909|
According to Josh Wills, Director of NYC Data Science Academy, a data scientist is a “person who is better at statistics than any software engineer and better at software engineering than any statistician.” While math skills and coding skills are an essential part of data science, business intelligence and a scientific approach are key to making sense of data. Most data science students have a previous background in STEM, but overall, data science students and professionals are detail-oriented and excel at problem-solving, logical reasoning, and communication.
Here is a quick list of data science skills and technologies used in the field and often taught at data science bootcamps:
Data expert (and General Assembly instructor) Craig Fryar's Intro to Data Visualization with Tableau
How Lane went from Systems Analyst to Data Scientist
Why Chris chose Jigsaw Labs to help him make a career pivot!
Data Science Dojo offers online and in-person data science bootcamps in Redmond, Washington. Data Science Dojo believes that anyone can learn data science, and provides comprehensive, hands-on training that helps students jump into practical data science, including R...Read our Full Review of Data Science Dojo
Bedu/Tech offers part-time, full stack web development courses in Mexico City, Guadalajara, and online. The curriculum covers the MEAN stack (Mongo, Express, Angular, and Node) in an intensive environment.
Bedu/Tech employs a “blended” teaching style,...Read our Full Review of Bedu/Tech
The data...Read our Full Review of University of Richmond Boot Camps
UT Austin Boot Camps offer 12-week, full-time and 24-week, part-time web development courses, 24-week, part-time data analytics, UX/UI, and cybersecurity courses, and 18-week, part-time digital marketing and project management courses. The full stack curriculum...Read our Full Review of UT Austin Boot Camps
Elevation uses a Blended Learning methodology, combining self-learning and live guided mentorship, to teach in-demand skills in R&D, Data, and Business verticals. Elevation's full stack coding bootcamp provides training in the MEAN Stack (Mongo, Express, Angular...Read our Full Review of Elevation
MAX Career Bootcamps offers Coding (full-time 13 weeks or part-time 25 weeks), Data Analytics (6 weeks), and Business Analyst (9 weeks) programs that can be completed in-person in Cincinnati, Ohio or live online. Class size is limited to 16 to ensure bootcamp students...Read our Full Review of MAX Technical Training
University of Denver Boot Camps are 12-week, full-time, or 24-week, part-time web development, UX/UI, data analytics, and cybersecurity courses, and 18-week, part-time digital marketing and tech project management courses. The full stack curriculum includes HTML, CSS,...Read our Full Review of University of Denver Boot Camps
School of IT offers both online and in person bootcamps from its campuses in Cape Town and Somerset West, South Africa. Bootcamps include Full Stack Software Development, Mobile App Development, Digital Marketing, CyberSecurity, and Data Science. Students may choose to...Read our Full Review of School of IT
GW Boot Camps offer 12-week, full-time or 24-week, part-time web development courses, 24-week, part-time data analytics, cybersecurity, UX/UI, and financial technology (FinTech) courses, and 18-week, part-time digital marketing and tech project management courses. The...Read our Full Review of GW Boot Camps