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.
Compare costs of data science bootcamps ranging from free to $20,000.
Bootcampers graduate with solid portfolios – let's take a look at 5 of those Python projects!
Examples of real data science jobs that bootcampers land every day with advice from alumni!
Insight is an intensive 7-week post-doctoral training fellowship bridging the gap between academia and data science in Silicon Valley and New York. Applicants should have a background in Physics & Astrophysics, Mathematics & Statistics, Neuroscience &...Read our Full Review of Insight Data Science
The Eric and Wendy Schmidt Data Science for Social Good summer fellowship is a program through the University of Chicago that allows aspiring data scientists to work on real world problems in the fields of education, health, energy, and more. The program is 3 months...Read our Full Review of Data Science for Social Good
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Microsoft Research Data Science Summer School, or DS3, is an eight week, intensive summer program meant as an introduction to data science for prospective graduate students in the New York City area. The program is intended for upper level undergraduates or...Read our Full Review of Microsoft Research Data Science Summer School
The Institute for Statistics Education at Statistics.com is a pioneer in high quality, student-centered online education. They offered their first course in 2002 and now offer over 110 courses and four certificate programs. Students come from around the...Read our Full Review of The Institute for Statistics Education
Data Science Europe is a six week data science bootcamp based out of Dublin, Ireland. The bootcamp covers technologies like R, Hadoop, SQL, as well as the use of statistics in data science. The course concludes with projects that are presented to the class. Classes are...Read our Full Review of Data Science Europe
iXperience is a credit-bearing, study-abroad career accelerator program for university students based in Cape Town, Lisbon, Tel Aviv, and Berlin, in partnership with the University of Virginia. iXperience offers a 6-week iX learn and intern program, which combines...Read our Full Review of iXperience
Hack School MX is a coding bootcamp that teaches programming skills and entrepreneurship in Latin America. Students will learn in Monterrey, Mexico. Hack School caters to beginners, and applicants do not need programming experience to apply. Applicants should choose...Read our Full Review of Hack School
Talent Garden Innovation School offers European bootcamps in coding, digital marketing and UX design. Talent Garden's goal is to advocate and support innovation culture around Europe through education. In addition to full-time bootcamps, Talent Garden Innovation School...Read our Full Review of Talent Garden Innovation School
Revature is a full-time, 12-week online coding bootcamp that is free to students – after graduating, students commit to working at Revature for two years as software engineers. After graduating, Revature software engineer salaries are between $50,000 to...Read our Full Review of Revature