Download Guides
Data Science

The Complete List of Data Science Bootcamps & Fellowships

POSTED 02/06/2015
By Nick Toscano

The demand for skilled data scientists and data engineers remains strong in 2015.  Big data analysis is becoming a necessity for companies to prosper in all industries from agriculture to finance. Large international companies to new startups have been reaching out to bootcamps, immersion, and fellowship programs for qualified professionals. The requirements for enrollment are more stringent than those of coding bootcamps but, students who make it through will be positioned for one of the highest paying jobs in the tech field. Take a look at what these data science and engineering schools have to offer.

Bit Bootcamp – New York

Bit-BootCamp-SSThis course covers the essentials of data engineering for working with large data sets. The course is taught in four intense weeks. Students in the course first work on developing essential skills in computer science and statistics. They then learn to work with big data, getting started with Hadoop clusters, and hives. After reviewing more advanced subjects and technologies related to data engineering students chose from three paths to finish the course. They can work on a project of their own creation, they can help out on a learning project, or they can apply for data science certification. Bit Bootcamp has many hiring partners in its network. Alumni also have the option to stay and work on real in-house projects for Bit Bootcamp’s professional clients.

Format In person
Cost $1,500
Required Experience Background in SQL, and an object oriented programming like Java, C#, C++ etc. Solid math and problem solving skills
Languages SQL, Java, Unix Shell Scripting, Python
Class Size six – 10
Class Length Four Weeks
Hours/Week Tuesday and Thursday: 7:00 p.m. to 10:00 p.m., Saturday : 10:00 a.m. to 7:00 p.m.
Sessions/Year 12
Application Standard Application + Interview
Job Assistance Job placement assistance available via select partner companies
Tuition Reimbursement Complete refund, if graduate gets a job from their partner network
Financial Aid None
Payment Plan None
Selective Yes
Description Big Data and Data Science Bootcamp
Contact Info Enroll@bitbootcamp.com
Locations New York

 

The Data Incubator – New York / Washington D.C.

Data-Inc

This fellowship prepares students for the next generation of data science challenges. Included in the course are bootcamp modules, short intense projects for learning both technical and soft skills. Data Incubator also hosts seminars with expert data scientists throughout the duration of the course. The fellowship prepares students with the necessary programming and analytical skills through a series of portfolio building projects. Students conduct scientific training in software engineering, number computation, statistics, data visualization, databases, and parallelization. The Data Incubator provides extra career preparation training and will introduce graduates directly to potential employers.

Format In-person, Online
Cost Free
Required Experience Postdocs, faculty, master’s, and Ph.D. candidates about to graduate, and people who already have a masters or Ph.D.
Languages Python, R, SQL, Hadoop, MapReduce, Hive, Spark
Class Size n/a
Class Length Six Weeks (optional two extra weeks for advanced topics)
Hours/Week Full-time for in-person, 20+ hours for online
Sessions/Year Two
Application Standard application
Job Assistance Yes
Tuition Reimbursement n/a
Financial Aid n/a
Payment Plan n/a
Selective Yes
Description Data Science Fellowship
Contact Contact Form

 

Data Science Dojo – Seattle, WA /  Silicon Valley, CA

DataScienceDojo-logoThis program starts on location for five consecutive days of training followed by one hack day where students are provided with real-world data science and big data problems to solve . Afterwards, students are broken into groups, provided a mentor and are assigned projects to complete remotely. This program is designed for those looking to expeditiously gain applicable skills in managing big data and data science pipelines.  A variety of topics such as data exploration, visualization, feature engineering, predictive analytics, predictive modeling, clustering, recommender systems, big data pipelines, event/message queues, real-time analytics, distributed databases, metrics and A/B testing are covered in five days. Course work will be completed using R and Python.

Format In-person
Cost $3,000
Required Experience Knowledge in at least one programming language.
Languages R,  Python, Azure Machine Learning Studio, Big Data, Distributed Databases, Message Queues, Real-Time Analytics, A/B Testing.
Class Size 20-25
Class Length Six days (five days training plus one hack day)
Hours/Week 50 hours of training on site, 50 hours of projects remotely
Sessions/Year Four in each location
Application Standard application + interview
Job Assistance Yes
Tuition Reimbursement None
Financial Aid For outstanding candidates, offers a 100% tuition plus travel and lodging scholarship.
Payment Plan Yes, deferred, no-interest payment plan.
Selective
Description Data Science and Data Engineering Bootcamp
Contact Contact Form

 

Data Science for Social Good – ChicagoData-Science-Social-Good-Logo

During this fellowship students work with nonprofits, local governments, or federal agencies to solve high impact problems. The intent is to position students to learn directly from those at the forefront of public policy decision making. Students perform modern data analysis tasks with real data alongside the experts that collected and created it. Each program partner must meet strict requirements. This ensures that fellows aren’t just conducting research on theoretical problems but rather are working with a real team with solid goals.

Format In-person
Cost Free
Required Experience Seniors in college, grad students or if you have finished a degree (undergraduate, master’s, Ph.D) in the past couple of years, you should be OK to apply. Experience with data analysis and a passion for making social impact is required.
Languages Python
Class Size 48
Class Length 12 weeks
Hours/Week Full-time
Sessions/Year One
Application Standard application
Job Assistance n/a
Tuition Reimbursement n/a
Financial Aid Stipend of $11,000 to $16,000 for the 12 weeks.
Payment Plan n/a
Selective Yes
Description Data Science Fellowship
Contact datascifellows@gmail.com

 

Data Society

Data Society BootcampThis online bootcamp takes place over four consecutive weekends. The course caters to professionals in their 30s and 40s who don’t have time to devote to an in-person intensive course. It is designed to assist people who recognize the need to start analyzing and working with data. By the end of the course, students acquire quick and actionable skills. Material is presented in a live video chat forum. Students may communicate directly with the instructor or one of the many TAs throughout the duration of the course. After the course is completed students are provided with additional data sets and a portfolio of quick assignments they can complete on their own time to further advance their skills.

Format Online
Cost $299-$399
Required Experience None
Languages R
Class Size 80
Class Length Four Weekends
Hours/Week 24 hours of instruction time
Sessions/Year 12
Application None
Job Assistance None
Tuition Reimbursement None
Financial Aid None
Payment Plan Available
Selective None
Description Intro to Data Science Complete Bootcamp
Contact Info hello@datasociety.co
Locations Online

 

General Assembly  Boston / New York San Francisco / Washington D.C.General-Assembly-logo

Students looking to build on their existing math and programming skills to explore and Interpret large data sets will benefit from this course. The curriculum includes data exploration, machine learning, statistical operations, and predictive modeling. Students will use Python to practice fundamental data analysis techniques. This course was designed by a former senior manager from Amazon to be mixture of theory and real-world challenges. This part-time experience provides a contemporary training in data science.

Format In-person
Cost $4,000
Required Experience A good grasp of college-level statistics and probability. Ability to program in a scripting language such as Python or R.
Languages Python, R
Class Size n/a
Class Length 11 weeks
Hours/Week Mondays & Wednesdays6:30 p.m. – 9:30 p.m.
Sessions/Year Three
Application Standard application + interview
Job Assistance No
Tuition Reimbursement No
Financial Aid None
Payment Plan Available
Selective n/a
Description Data Science Bootcamp
Contact classes@generalassemb.ly

 

Insight Data Engineering & Data Science Fellows – New York / Silicon Valley, CA Insight-logo

Insight has two separate six-week programs designed to bridge the gap between traditional education and a lucrative career.  Both are project-based learning programs with no traditional lecture classes. The data engineering program is for those interested in building infrastructures with large code bases. The data science program is for those who want to acquire experience in data analysis, experimental design, or machine learning. Upon graduation, graduates get positioned directly into partnered companies of Insight.

Format In-person
Cost Free
Required Experience Completed or are approaching completion of a Ph.D.
Languages Python, R, Git, Flask, Javascript, MySQL, Hadoop, Hive
Class Size n/a
Class Length Six weeks
Hours/Week Full-Time
Sessions/Year Two
Application Standard application
Job Assistance Yes
Tuition Reimbursement n/a
Financial Aid Need-based travel and living expense scholarships available
Payment Plan n/a
Selective Yes
Description Data Science Fellowship
Contact info@insightdatascience.com 

Level – Boston / Seattle / Charlotte / Silicon ValleyLevel Data Analytics Bootcamp

Level is a data analytics bootcamp from top-50 ranked Northeastern University, and the only one of its kind backed by a major research university. At Level, professionals learn data analytics skills hands-on by solving case studies and working on projects with industry partners like Starbucks, Wayfair, Rue La La, and Care.com.

Level is currently running in Boston, Charlotte, Seattle, and Silicon Valley, and offers a range of data analytics programs for professionals with varying levels of experience.

Format In-person
Cost $7995
Required Experience Varies- Level offers beginner, intermediate, and focused programs in data analytics.
Languages Excel, R, SQL, Tableau
Class Size 10-25
Class Length 2 Months for Full-Time, 4 Months for part-time/online hybrid
Hours/Week 40 hours per week (Full-Time)
Sessions/Year Three
Application Online application + phone interview
Job Assistance Professional development days, career fair, hiring tests, access to Northeastern University career services
Tuition Reimbursement N/A
Financial Aid Up to 60%.
Payment Plan Yes
Selective Yes
Description Data Analytics Bootcamp at Northeastern University
Contact jon@leveledu.com

Metis – New York / San Francisco, CAMetis-logo

In 2015, Kaplan’s Metis bootcamp has decided to focus all its expertise into it’s data science bootcamp. Its course is designed to teach someone to think and act like a true data scientist. Students are taught to discover the questions that will deliver the greatest value from their data. The coursework provides a very strong foundation amongst many essential tools and algorithms. At the end of the 12-week course Metis holds a career day visited by over 30 companies. That is more companies than the average amount of students enrolled. Metis holds the only data science bootcamp accredited by the Accrediting Council for Continuing Education & Training (ACCET), a U.S. Department of Education nationally recognized agency.

Format In-person
Cost $14,000
Required Experience Applicants must have some previous experience programming (writing code) and studying or using statistics.
Languages Python (Scikit-learn, Statsmodels, Numpy, Pandas, Matplotlib, Flask), Javascript (d3.js), and other software (Git, Hadoop, Hive, SQL, Mongo)
Class Size 18-24
Class Length 12 weeks
Hours/Week Full-time
Sessions/Year Four in NY, Four in San Francisco
Application Standard application with self assessment + coding challenge + interview
Job Assistance Provide coaching, technical interviewing workshops, salary negotiation support, and access to employers. Career day, students present 1 of 5 different projects to 25-30 different employers
Tuition Reimbursement No
Financial Aid $2,000 scholarship for women, underrepresented minority groups, and veterans or members of the U.S. military.
Payment Plan Available. Financing partners available.
Selective Yes
Description Data Science Bootcamp
Contact Contact Form

 

Microsoft Research Data Science Summer School – New YorkMicrosoft-D3-Logo

The Data Science Summer School(D3) is hosted by Microsoft. The course teaches tools and techniques used by today’s top data scientists. Students are expected to complete all associated tasks of data mining and analysis for each project they complete.  The course’s aim is to condition students for the real-world of big data analysis. Teachers do not hand over a clean dataset for projects. Instead, they expect students to practice true exploratory, cleaning, and modeling techniques. Scripting will be completed in both Python and R. College students who are accepted into this program will have the unique opportunity to work alongside Microsoft research scientists.

Format In-person
Cost Free
Required Experience Upper-level undergraduate students attending college in the New York City area who are interested in attending computer science graduate school, and who would benefit from an intensive introduction to data science.
Languages Python and R
Class Size
Class Length Eight weeks
Hours/Week Full-time+
Sessions/Year One
Application Standard application + interview
Job Assistance No
Tuition Reimbursement No
Financial Aid $5,000 stipend is provided
Payment Plan n/a
Selective n/a
Description Data Science Bootcamp
Contact ds3@microsoft.com

 

NYC Data Science Academy – New YorkNYC-Data-Science-Academy-logo

In 2015 this school decided to take its success teaching weekend data science courses and start a full-time data science immersion program. Its 12-week course is filled to the brim with all the technologies, packages, libraries and skills needed to succeed as a data scientist. Coursework is completed in both Python and R. Over 300 hiring firms are partnered with the program. The school touts a highly experienced staff of instructors and mentors that includes Max Kuhn, author/maintainer of Caret, a popular predictive modeling package for R. This bootcamp provides top-notch training, as well as networking and employment opportunities.

Format In-person
Cost $16,000
Required Experience Master’s or Ph.D. degree in science, technology, engineering or math, or equivalent experience of quantitative science or programming.
Languages R, Python, Hadoop
Class Size 10-15 (40 in Summer)
Class Length 12 weeks
Hours/Week Full-Time
Sessions/Year Four
Application Standard application + interview
Job Assistance Yes they have 300+ hiring firms.
Tuition Reimbursement No recruitment fee.
Financial Aid Fellowships available for certain Ph.D. students.
Payment Plan No
Selective Yes
Description Data Science Bootcamp
Contact info@nycdatascience.com

 

SlideRule

SlideRule-Bootcamp-SSThis online course is typically taken by people who have some knowledge of data science but want to get smarter with how they work with their data. SlideRule curates existing online content and then mixes in projects of its own creation to reinforce the material. There are no live-action classes provided by SlideRule. Alternatively, each student is assigned a mentor. Students have weekly one-on-one mentor calls to work through problems they are experiencing with the course material. SlideRule has an online forum where students can explore a Q&A, share links and discuss best practices with fellow students. Each student completes a  capstone project that they can design themselves.

Format Online
Cost $399 Month
Required Experience Some background in programming
Languages R (dplyr, ggplot, rvest, and other R packages)
Class Size n/a
Class Length One to three months. (minimum of 100 hours of work)
Hours/Week 10 – 25 hours/week
Sessions/Year 12 Cohorts a year ( students aren’t required to stay on the same pace as the rest of their cohorts)
Application Online Application
Job Assistance None
Tuition Reimbursement None
Financial Aid Group discounts available
Payment Plan None
Selective No
Description Intro to Data Science
Contact Info founders@mysliderule.com
Locations Online

 Thinkful Thinkful-Data-Science-logo

This course is ideal for professionals and academics interested in expanding on their simple excel-based data analysis techniques. It’s also an excellent choice for students eyeing a career in data science. This course is designed for complete beginners.  Students will complete seven different projects online. Guidance is provided via 1-on-1 mentoring sessions. Students will use python to clean, process, store, and analyze data. They will also use statistical operations to recognize patterns and write prediction models. Projects are centered around real-world data sets.

Format Online
Cost $500/month
Required Experience None
Languages Python, Git, SQLite,
Class Size n/a
Class Length Three months
Hours/Week 10-15 hours/week
Sessions/Year Three
Application Standard application
Job Assistance No
Tuition Reimbursement No
Financial Aid No
Payment Plan No
Selective No
Description Data Science with Python
Contact hello@thinkful.com

Zipfian Academy – San FranciscoZipifan logo

Zipfian, now part of Galvanize, has immersion programs in both Data Science and Data Engineering. Its data science immersion includes an eight-week deep dive into advanced statistical functions, supervised and unsupervised learning methods, data visualization and more. The structured curriculum for data engineering students covers distributed systems, data processing, and machine learning among other essential subjects. Every students will spend two whole weeks focusing on a capstone project of their choice. They will showcase their project at hiring day where they will have the opportunity to interview with over 20 companies from the San Francisco Bay Area.

Format In-person
Cost $16,000
Required Experience A strong working knowledge of at least one programming language. A background in a quantitative discipline including foundational statistics, probability, linear algebra, and mathematics.
Languages Python
Class Size 15 – 20
Class Length 12 Weeks
Hours/Week Full-Time
Sessions/Year Three
Application Standard application + technical quiz + evaluation interview + data science/engineering focused interview
Job Assistance Yes
Tuition Reimbursement $4,000 to any graduate who accepts a position with a Hiring Partner after completing the program.
Financial Aid Need-based scholarships for strong applicants of $500 – $5,000
Payment Plan Yes
Selective Yes
Description Data Science Immersive & Data Engineering Immersive
Contact hello@zipfianacademy.com 

Get Prepared

Data scientists and engineers take advantage of a wealth of technologies to complete their statistical analysis of large data sets. Advanced data science tasks requires the integration of database management systems, distributed processing, and interpreted languages to clean, model and analyze very large sets of data. If you are still early on in your skills development but are eyeing a career in data science make sure to get acquainted with R and Python as these are the interpreted languages of choice for data scientist. Learning SQL and Hadoop will also set you on the right course towards understanding the back end of big data workflow.

Jagged Edge Media JAcom Consultants