There’s a good reason that Data Science and Analytics careers consistently rank among the best in the U.S. According to Forbes, the number of Data Science job listings is projected to grow to nearly 3 million by 2020. High demand means that more employers are looking to hire graduates of short-term, intensive programs, like bootcamps.
What Is A Data Science Bootcamp?
Data science bootcamps are immersive training programs that help students (usually with technical backgrounds) to transition into data-oriented careers. Since 2012, these private education courses have been training data scientists/engineers with strong industry job placement records. Many mid-career professionals are learning data skills and landing jobs in tech by going through the bootcamp model. However, due to the huge variety of data-related jobs and the specific skillsets needed for different positions, navigating through the complex career transition is challenging.
2017 Data Science Program Rankings
If you are considering data science programs, this guide has everything you'll need to kickstart your research. To start, check out our list of the best-rated data science bootcamps below. Throughout 2017, we amassed thousands of alumni reviews and data points to bring you our list of recommendations. We’ve analyzed price, location, job support, alumni reviews, instructor quality, and several other important indicators of quality. We’ve narrowed it down to provide you with a starting point of well-reviewed, fully-vetted bootcamps.
You’ll also find more information on different data-oriented careers options, and tips on how to begin your career change.
The Best Data Science Courses
Here is a list of date science programs who have also made it onto our shortlist, but do not currently have a lot of data science related alumni reviews.
Accelerate is a socially aligned education startup that bridges the gap between education and employment across innovation verticals including software development, data science, UX, DevOps and product management. We make it easy for companies to hire top talent they will not find through traditional hiring practices. (View In-Depth Report)
|Location||Hong Kong, Online|
ASI Fellowship is a highly selective 8 week programme in data science and data engineering for outstanding PhD graduates and post-doctorates from UK, Europe and US top universities. Since 2014, we have run eight Fellowships with 120+ alumni who now work as data scientists or data engineers. 5 - 10% of STEM PhD graduates in the UK now apply to the Fellowship. The programme is completely free for Fellows. Fellows receive specialist technical skills and soft skills training, whilst undertaking... (View In-Depth Report)
|Location||Berkeley, San Francisco|
|Courses||Part-Time, Full-Stack Web Development Boot Camp, Full-Time, Full-Stack Web Development Boot Camp, Part-time, Data Analytics and Visualization, Part-time, UX/UI Boot Camp... View All Courses|
(View In-Depth Report)
Bit Bootcamp offers part-time and full-time courses to teach the skills needed for a career in data analytics. Applicants should have a background in SQL, and an object oriented programming like Java, C#, or C++, as well as solid math and problem-solving skills. Once in Bit Bootcamp, students will work on commercial grade solutions to problems candidates are most likely to face in a large data environment either at startups or large enterprises. The course consists of four weeks of coding and... (View In-Depth Report)
BrainStation empowers individuals and businesses to achieve digital success. Whether your goal is to make a career switch, launch a business, or simply level up your skill-set, there is something for everyone looking to build their digital skills. Full-time in-person programs BrainStation offers 10 week full-time programs in Web Development and User Experience Design. The full-time programs are intensive, collaborative and rewarding learning experiences where no two days are the same;... (View In-Depth Report)
|Location||NYC, Online, Toronto, Vancouver|
|Courses||iOS Development, Full-time Web Development, Digital Marketing, Data Analytics, User Interface Design, full-time User Experience Design, SEO/SEM & Analytics, Web Development, Product Management, User Experience Design, Data Science... View All Courses|
|Subjects||Web Development, iOS Development, UX Design, UI Design, Digital Marketing, Data Science, Product Management, Full-Time Web Development, Full-Time Remote Web Development , Full-Time UX Design|
Byte Academy is a leader in industry -oriented technology education with full-time, part-time and remote programs in areas such as fullstack Python Software Development, FinTech, Data Science, Quant-Algos and Blockchain. It addition to its academics Byte Academy has a heavy focus on career and even a job guarantee. It offers qualified applicants the option to pay tuition after securing a job post graduation from its program. Byte Academy's full stack Python coding program is one of the first... (View In-Depth Report)
|Location||Bangalore, NYC, Online|
|Courses||Introduction To Quant-Algos, Python Fullstack Software Development (Part-Time), Data Science (Full-Time), Python Fullstack Software Development (Full-Time), Quant - Algos (Part-Time, Evening), FinTech (Financial Technology) Full-Time Bootcamp... View All Courses|
Cambridge Spark provides continuous professional development training for developers and Data Scientists, with a focus on helping individuals upskill and become more employable. Courses include intensive, part-time programmes, practical Data Science Summits and regular community events on the latest tools and techniques in data science and software development to equip individuals with the most relevant skills for industry needs. Through project-based learning, you will develop a strong... (View In-Depth Report)
Centriq Training is an IT technology training firm in Kansas City. Boasting 25 years of training experience, Cintriq offers Corporate Training to current IT Professionals, Developers or Managers, as well as TechSmart KC: an accelerated, 4 month, full-time bootcamp for people interested in starting a new career in IT. During the 4-month bootcamp, students participate in live, instructor-led classes with hands-on activities. At the end of the course, students prepare a final project to present... (View In-Depth Report)
DataCamp is the first online learning platform that focuses on building the best learning experience specifically for Data Science. We have offices in Boston and Belgium and to date, we trained over 560,000 (aspiring) data scientists in over 150 countries. These data science enthusiasts completed more than 9 million interactive exercises. You can take free beginner courses, or subscribe for $29/month to get access to all premium courses. We have partnerships with both companies (Microsoft,... (View In-Depth Report)
Data Science Retreat (DSR) is the only data science course in the world with chief-data-scientist-level mentors. DSR helps coders or people with significant quantitative training (e.g. science, engineering, or math graduates) ramp-up rapidly for a data science career - arguably the fastest-growing, highest-demand profession. We train both data scientists and Data Engineer. Our participants have an average of 5 years of industry experience. DSR is a 3-month, in-person, rigorous, and... (View In-Depth Report)
It's simple - you don't need to take thousands of courses, you just need to take the right ones. Data Society has two different programs: one for executives/leaders and one for analysts/data scientists that teach professionals how to implement powerful data science analyses. Data Science for Leaders: this program teaches executives and leaders how to build out a Big Data capability, apply data science in their organization and build a data-driven team. This program provides an executive-level... (View In-Depth Report)
|Courses||Regression and Time Series Analysis, Data Science in Business, Building a Data Driven Business, Introduction to R and Visualization, Interactive Visualizations, Clustering and Finding Patterns, Introduction to Network Analysis, Mining Social Media, Data Science Methods, Community Detection... View All Courses|
|Subjects||Data Science, Data Visualization, Data Analytics, R programming|
The 11-week data science technology course is one of General Assembly's part-time bootcamps. It runs twice a week in the evenings. Some core skills students should expect to walk away with include knowing how to apply math and programming skills to make meaning out of large data sets, learning how to analyze and manipulate data with Python and learning how to make predictions about data using fundamental modeling techniques. The course must be done in person and takes place a General... (View In-Depth Report)
|Location||Atlanta, Austin, Boston, Chicago, Denver, Hong Kong, London, Los Angeles, Melbourne, NYC, Online, San Francisco, Seattle, Singapore, Sydney, Washington DC|
Hackbright Academy offers various programming courses designed to empower women to become Software Engineers. Hackbright Academy teaches the fundamentals of modern web development, then introduces graduates to Silicon Valley companies looking to expand their engineering teams. All students are matched with up to three seasoned software engineers as mentors, as well as given customized career coaching support throughout the program. There are various scholarships and payment plans available to... (View In-Depth Report)
Programming Courses for all people that want to learn the ability of the present and the future. We teach the best technologies from IT industry. (View In-Depth Report)
|Courses||... View All Courses|
HyperionDev offers 6-month, part-time online coding bootcamps. HyperionDev has the ambition to scale human-led education in programming. With the belief that machines can't match human developers, Hyperion Dev believes that learning to code is best achieved by having a coding educator review your code daily. Students learn part-time (about 8 hours per week) and work in a 1:1 mentor relationship. They’ll engage in a tailored course and coding exercises based on topics in full-stack web... (View In-Depth Report)
|Courses||Full Stack Web Developer Bootcamp, Software Engineering Bootcamp , Mobile Developer Bootcamp, Python Software Developer, C# Software Developer, Java Software Developer, Introduction to Data Science, C++ Software Developer... View All Courses|
Insight is an intensive seven-week post-doctoral training Fellowship bridging the gap between academia and data science in Silicon Valley, New York, Boston, Seattle and Remote. In the past five years, Insight has grown to over 1000 alumni working at over 800 top data teams across the US, including Facebook, Apple, Google, LinkedIn, New York Times, Biogen, Amazon, Airbnb, Yelp, Bloomberg, McKinsey, 23andMe, Biogen, Wayfair, and many high-growth startups. Insight programs are 100% tuition-free.... (View In-Depth Report)
Israel Tech Challenge is a not for profit company backed by the Israeli National Cyber Bureau. Located in Tel Aviv, Israel, they offer students the ability to learn from leading Israeli industry players and academics, combining inspiration and networking with actual hands-on cooperation on research and development projects. Programs include: - Coding Boot Camp : 5 month intensive programming training - 10 month Tech Challenge Fellows: Cyber Security and Data Science for CS Grads and Engineers... (View In-Depth Report)
Ivy Data is a AI & Block chain startup based out of NYC with offices in SF, Boston and DC. Our offerings include AI-as-a-Service, Accelerators, innovation and training . We launched the world's first Artificial intelligence boot camp in fall 2016 a 8 weeks immersive full-time artificial intelligence boot camp . We offer fellowship and scholarship programs to students with STEM background in Masters and PhD. Students are taught the basics and advance topics of Artificial Intelligence, deep... (View In-Depth Report)
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 graduating seniors, and seeks to increase diversity in the data science market. The school is taught by scientists from Microsoft Research. Students will be broken up into small groups to work on one of two data science projects over the... (View In-Depth Report)
Propulsion Academy is a 12-week bootcamp in Zurich, Switzerland. They offer courses in full-stack web development, data science, and mobile development with a focus on HTML, CSS, JS, React, JAVA, R, Python, Objective-C, and Swift. Propulsion Academy aims to give students the ability to learn outside of the traditional University through an immersive, practical, and hands-on curriculum. (View In-Depth Report)
Learn to code in just 12 weeks with our immersive coding bootcamp. Based in Berlin, we offer a personalized experience in intimate cohorts, where our experienced teaching staff are available to support you around the clock. Experience Berlin, learn to code, and get job ready for a career you love. (View In-Depth Report)
The goal of theDevMasters is to build next generation entrepreneur, data scientist and software professionals. Our mentor team is composed of experienced industry professionals. They understand there is a very large gap between theoretical study, certification and real job requirements in the current economy. In our Applied Labs, not only do you gain current industry skills, but learn directly from those with a different background & experiences than you. What is more, we allow the student to... (View In-Depth Report)
Like SlideRule, Thinkful is also an online data science bootcamp. Similarly, the course includes a weekly one-on-one mentoring session, only this session is done through live video conferencing. What's more, Thinkful matches its students to mentors based on factors like schedule, goals and interests. The industry experts who serve as mentors have an average of five years of experience. This course is geared towards beginners such as business analysts who are seeking to expand their toolset,... (View In-Depth Report)
|Location||Atlanta, Los Angeles, Online, Phoenix, Portland, San Diego, Washington DC|
|Courses||Engineering Immersion, Data Science: Washington D.C., Data Science: Atlanta, Full Stack Flex, Full Stack Flex: Atlanta, Full Stack Flex: Portland, Full Stack Flex: Phoenix, Data Science: Portland, Data Science: Phoenix, Data Science: San Diego, Full Stack Flex: San Diego, Data Science: Los Angeles, Data Science, Full Stack Flex: Washington D.C., Full Stack Flex: Los Angeles, Frontend Web...... View All Courses|
Our 5 month intensive bootcamps help students go from 0-100% employability in the workplace. We offer Full Stack Java & Data Analytics with Big Data. Ubiqum is one of the few Code Schools that offers a 6 month guarantee of employability, worth 50% of your course value. Our structured curriculum gradually rises in complexity until you are comfortably performing on a daily basis. Think like a professional would and immerse yourself into a real life team environment. The Ubiqum experience is... (View In-Depth Report)
Designed for data science professionals, the University of California - Berkeley School of Information's Online Master of Information and Data Science prepares students to derive insights from real-world data sets, using the latest tools and analytical methods to interpret and communication findings in ways that influence decision-making. Delivered online, the program uses a state-of-the-art web-based platform that brings the unique UC Berkeley student experience to you - no matter where you... (View In-Depth Report)
Please note, Zipfian was acquired by Galvanize in 2014. Check out Galvanize on SwitchUp Zipfian Academy trains data scientists, data engineers, and analysts. Through immersive education and professional fellowships, our hands-on programs teach practical skills used in industry. Graduates of Zipfian Academy join data teams at Facebook, Tesla Motors, and many data-centric startups in Silicon Valley. Our 12-week Data Science Immersive and 12-week Data Engineering Immersive programs provide a... (View In-Depth Report)
Data Science: Career Outlook & Choosing A Bootcamp
Market Growth: By 2018, data science jobs in the U.S. will exceed 490,000, with fewer than 200,000 available data scientists to fill these positions (McKinsey & Co.)
Average Salary: Between $116,000 and $163,500 in 2017 (Forbes)
Job openings: Shortage of up to 1.5 million by 2018 (McKinsey & Co.)
Overview: What Is Data Science?
If you are comparing tech careers, you’ve probably heard some of the hype surrounding Data Science jobs. Glassdoor ranked Data Scientist as the best job in America in 2016, and Harvard Business Review went so far as to name Data Scientist “The Sexiest Job of the 21st Century”.
Sure, the hype might sound like an exaggeration, but there’s no question that data science job growth isn’t slowing down anytime soon. Companies are now working with more data than ever, and need employees with the training necessary to make sense of the numbers. Thanks to demand, Data Scientists enjoy high earning potential, a wealth of career opportunities, and the large number of job openings.
It’s sometimes hard to know the best way to learn data science because the term varies widely. Many companies are seeking different skillsets, expertise, and experience levels. For example, you could be working for a B2C company that is looking to better understand their customer base, or you might be working for a company that offers data as the product. When you begin your data science training, it’s important to have a clear idea of how you would like to use your skills.
Regardless of your path, you will likely need to demonstrate the following skills to land a job:
Programming Languages: A statistical programming language like R or Python, and a database querying language like SQL.
Basic Statistics: At least a basic understanding of statistics is crucial. You should be familiar with statistical tests, distributions, maximum likelihood estimators, etc.
Machine Learning: This is especially important if you plan to work at a large company, or a company that offers data as a product. You can use R or Python libraries for many machine learning techniques, but it’s still an important concept to understand at a high level.
How To Become A Data Scientist
1. Learn The Basics. Before you dive into a bootcamp, make sure you’ve mastered the basics. Check out one of these free online courses to get started:
2. Research Data Science Bootcamps. Once you’ve learned the basics, a Data Science bootcamp can help you fill any gaps in your knowledge and get you ready for an entry-level data science job.
SwitchUp’s list of the best data science bootcamps is a great place to begin. You can also search for data science bootcamps in the SwitchUp database. Here, you’ll be able to filter schools by location, price, ratings, and subjects.
3. Choose A Career Path. A Data Science Team consist of multiple roles with slightly different skillsets, that all work together to tackle a problem. Common roles are:
Openings for data analyst roles can be found at pretty much any large corporation or government organization. From accounting, to risk analysis, to a/b testing, to working on government data, there’s a huge need for a data analyst’s skillset.
A Data Analyst can be thought of as a Junior Data Scientist, and is a great place to start if you don’t have a very technical background and have only taken one or two statistics classes. Your primary role will be as the key liaison between the data team and the rest of the company. During your Data Analyst training, you’ll need both technical data science chops as well as business and communications experience. Skills include programs like R. Python, and SQL, statistics and business communications.
Skills and tools: A Data Analyst role is a great place to start if you don’t have a very technical background and have only taken one or two statistics classes. You won’t be required to have a mathematical background or a PhD/research experience, but you will be required to be diligent, strong at communication, and able to perform computer work. Once you get more experience as a data analyst, you can take more advanced courses, earn a master’s degree or consider a data-science bootcamp to jump into a more research-based, analytical role.
Day-to-day as a Data Analyst: You'll be given specific instruction from a more senior member and will likely be using Excel to process data and produce summary results. Things like bar charts, pie charts, trend lines, simple regression analysis, box plots, etc., will be common day-to-day tasks. As a side note: You may also be querying databases for data using SQL and scripting languages. For this reason, it is not a bad idea to learn some basic SQL programming. It's important to remember that you won't be doing complicated analysis independently or building your own statistical models or any type of predictive analysis. These higher level tasks are usually conducted by data scientists or senior researchers.
Medium Data Analyst Salary (entry level): $56,164
The data scientist uses a range of tools to take a project from start to finish. As a Data Scientist, you’ll need to master the ability to manage and analyze raw data, and share insights in a compelling way.
Some companies treat the titles of “data scientist” and “data analyst” as the same thing and they are often used interchangeably. However, in general, there are distinctions between the two. A data scientist’s work usually requires more complicated analysis and a stronger understanding of the fundamentals of statistics. A strong background in college and graduate level statistics coursework is needed for a career as a data scientist. Usually job listings will require a master’s degree in quantitative finance, statistics, or some relevant field.
Skills and tools: While a data analyst simply may be doing work in excel to present summary statistics of small datasets, a data scientist will be managing larger data sets from different sources. They'll likely be comfortable with Python and R programming and using advanced statistical models and tools like STATA and SPSS. SQL and basic scripting languages are a must-know for data scientists.
Day-to-day as a Data Scientist: Data scientists are often employed by technology and financial sectors, where huge volumes of data are being processed every day. As new data comes in and new problems come up, these data scientists are employed to find ways to optimize a company’s marketing campaign, optimize a hedge fund’s trading algorithm, or come up with new ways to predict or model consumer behavior. The end goal is to make full use of the company’s data to help generate profits and make the products better.
Medium Data Scientist Salary (entry level): $86,807
A data engineer is very different from a data scientist. Think of a data engineer as more of a computer scientist who specializes in building systems to manage data. Data engineers essentially lay the groundwork for a data analyst or data scientist to easily retrieve the needed data for their evaluations and experiments.They focus on creating robust data systems that can aggregate, process, clean, transform, and store large amounts of data.
Data engineers are typically software engineers by trade, and this can be a great career transition for someone with a software engineering background. Instead of data analysis, data engineers are responsible for compiling and installing database systems, writing complex queries, scaling to multiple machines, and putting disaster recovery systems into place.
Skills and tools: The Data Engineer’s secret weapon is fluency in both statistical programming languages and languages used in web development. They need to have strong knowledge of core computer science principles and software development experience. Skills also include database systems, database modeling, and languages like SQL, R, Matlab, and Python. In addition, they need to have expertise in new technologies that help manage large datasets. These technologies and concepts include MapReduce, NoSQL databases, MongoDB, SQL, Hadoop, Storm, and other various Dev Ops tools like Chef. You will need the ability to learn whatever technology the company is using to manage their data systems, and there are a wide variety of them, although the core underlying principles are very similar.
Day-to-day as a Data Engineer: Opportunities for Data engineers are typically found in large corporations. The primary job responsibility includes building robust, fault-tolerant data pipelines that clean, transform, and aggregate unorganized and messy data into databases or data sources.
The McKinsey Global Institute has predicted that by 2018 the U.S. could face a shortage of between 140,000 to 190,000 people with deep analytical skills, and a shortage of 1.5 million managers and analysts who know how to leverage data analysis to make effective decisions.
With that in mind, there are going to be a lot of job opportunities opening up for people with the right skill set. As a results a lot of new education programs have popped up to fill that need and gap. However, being a highly-specialized profession, transitioning into a data science career will require not just basic training, but lots of specialized coursework and experience.
Medium Data Engineer Salary (entry level): $83,746
Compare Salary Information
According to PayScale, national salary ranges for the following data job are as follows:
Entry level: $40,405 - $77,615. Medium: $56,164
Experienced: $44,711 - $99,858. Medium: $66,546
Entry level: $59,242 - $131,275. Medium: $86,807
Experienced: $69,926 - $178,793. Medium: $120,000
Entry level: $62,355 - $131,966. Medium: $83,746
Experienced: $80,419 - $160,536. Medium: $119,989
Start Your Search
Use SwitchUp’s list of the Best Data Science Bootcamps to get started. You can also search for programs by location, price, ratings, and subject in the SwitchUp directory.