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.
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:
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.
|“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.
See Jung & Nick's Productivity Project That Won Brainstation + Microsoft’s “Stay at Home Hackathon”
Compare costs of data science bootcamps ranging from free to $20,000.
Everything you need to know about linear algebra, calculus, probability, and statistics!
Science to Data Science offers both a 5-week data science workshop in London training analytical PhDs, and a 5-week online data science course for both PhDs and MScs. Both courses teach the skills needed to transition from a scientific background to become a successful...Read our Full Review of Science to Data Science
Pragra offers 4, 8, 12, 16, and 22-week part-time coding bootcamps in Mississauga, Canada, and Noida, India, as well as online. Pragra coding programs include full stack Java, machine learning, dev ops, Big Data, QA automation, Amazon Web Services, business analysis,...Read our Full Review of Pragra
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Berkeley Boot Camps offer 12-week, full-time and 24-week, part-time courses in web development; 24-week, part-time courses in data analytics, UX/UI, cybersecurity and financial technology (FinTech) and 18-week, part-time digital marketing and technology project...Read our Full Review of Berkeley Boot Camps
DataCamp is a time flexible, online data science learning platform offering tutorials and courses in data science. Students can master data analysis from the comfort of their browser, at their own pace, and tailored to their needs and expertise. DataCamp has free...Read our Full Review of DataCamp
Neoland offers 12-week full-time and 22 or 12-week part-time digital bootcamps in UX/UI Design, Data Science, and Full Stack Web Development, in Madrid and Barcelona, Spain, or online. UX/UI Design students will learn tools like front end, interface, and user...Read our Full Review of Neoland
GW Boot Camps offer 12-week, full-time or 24-week, part-time web development courses and 24-week, part-time data analytics, cybersecurity, UX/UI, financial technology (FinTech), and digital marketing courses in Arlington, VA, and in Washington, D.C. The full stack...Read our Full Review of GW Boot Camps
Colaberry offers instructor-led remote, on-campus (Dallas, TX) and self-paced training in data analytics, data science, machine learning, and Artificial Intelligence. Colaberry courses are designed from the ground-up to focus on the latest tools and approaches to...Read our Full Review of Colaberry
Nashville Software School (NSS) is a nonprofit vocational school in Nashville that prepares adults for careers in technical fields like software development, UI/UX design, and data science. Nashville Software School is a place where a person with aptitude, motivation,...Read our Full Review of Nashville Software School
The University of Toronto School of Continuing Studies Boot Camps offer a 12-week, full-time and 24-week, part-time web development program, and 24-week, part-time programs in data analytics, cybersecurity, and UX/UI in Toronto and Mississauga, Canada and online. The...Read our Full Review of University of Toronto School of Continuing Studies Boot Camps
CodingNomads offers 10-week, full-time Java and Python bootcamps in travel destinations like Bali, as well as online self-paced coding bootcamps. CodingNomads helps students learn critical tech skills like Java, Python, Spring, SQL, Django, AWS, data science, and more....Read our Full Review of CodingNomads