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.
Watch this Python vs R video tutorial from Galvanize instructor Sean!
Our guide to choosing between Dataquest and Datacamp – two self-paced, online data science classes.
Learn how Galvanize alum Suchaya became a remote Data Engineer at Gap!
St. Louis3 Courses
K2 Data Science is an online part-time, mentor-led program that can be completed over 3-12 months. The experience will turn students into job-ready candidates through self-paced learning. K2 Data Science's goal is to create an online classroom that replicates in-person...Read our Full Review of K2 Data Science
Ubunifu College is an immersive coding bootcamp in Nairobi, Kenya with programs in full stack software development, data science, blockchain, and artificial intelligence. Ubunifu College offers short courses (1-3 months), professional courses (6 months), and a...Read our Full Review of Ubunifu College
Nod is an immersive, 10-week Data Analytics coding bootcamp in Stockholm, Sweden. The Nod curriculum covers Python, SQL, Pandas, Numpy, Matplotlib, Seaborn, A/B testing, and regression analysis. Students are introduced to supervised and unsupervised machine learning,...Read our Full Review of Nod
Hong Kong6 Courses
Xccelerate is a Hong Kong-based immersive coding, data science/machine learning, and UX bootcamp providing 6 to 16-week part-time and full-time courses. Xccelerate was founded with the mission to bridge the talent gap in Hong Kong, China. With its...Read our Full Review of Xccelerate
The data...Read our Full Review of Johns Hopkins Engineering Boot Camps
Moringa School is an intensive tech education program based out of Nairobi, Kenya offering a 5-week prep, and 5-month course. Moringa School is a world-class coding accelerator with a direct education to employment model. The focus is to enable a whole generation of...Read our Full Review of Moringa School
365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science...Read our Full Review of 365 Data Science
Neue Fische offers 3-month web development, data science and Java bootcamps in Hamburg, Cologne and Munich, Germany. Classes are taught in German and students learn through exercises, projects, homework, and group work in a startup atmosphere. Towards the end of the...Read our Full Review of Neue Fische