Best Data Science Bootcamps
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Best Data Science Bootcamps 2020

Data science is a growing career field with high salaries and fantastic upward mobility. Plus, the need for qualified data scientists spans across numerous industries, which means these professionals have a wide range of job options. Data science is a prestigious career in tech, and these programmers are vital to the modern information age.

Data science is a high paying career—Glassdoor reports the average base salary in the profession is $108,224 per year. Plus, senior data scientists earn an average $126,526 annually, making this a very lucrative career. Job growth is excellent as well. The Bureau of Labor Statistics predicts that the data science field will grow 16% in the next decade or so, which is much faster than average.

If managing large data sets and helping companies interpret complex information sounds like a career you’d be interested in, then consider a data science bootcamp. Bootcamps are a new way to learn technology and coding skills, and the top alternative to college.

Best Data Science Bootcamps 2020

Why Choose a Data Science Bootcamp?

Data science bootcamps are a fast and proven way to learn high-tech skills. Coding bootcamps are a newcomer to the education scene, but they offer numerous advantages over colleges and universities. Bootcamps focus only on in-demand data science curriculum, allowing students to learn everything they need to be competitive quickly.

Many bootcamps back up their programs with job placement statistics, often citing hiring rates between 70% and 90%. Many of these programs are designed to help people with little to no technology experience, and train them from the ground-up for an entry-level career.

Data Science Bootcamp Curriculum

Data science bootcamp students often begin with many of the topics covered by software engineering and web development bootcamps. Students begin with an introduction to the field, and basic coding concepts. Additionally, students may begin coding in a simple language (like JavaScript) to get a feel for syntax and coding rules.

Students also learn high-level coding languages, along with popular data science and database management tools. Schools include real-world projects to help students prepare for the workforce. Below, you’ll find the most popular data science coding languages and tools.

Python

SQL

R

Java

MatLab

SAS

All of these coding languages are common in the industry now, but they might not be in a year. That’s why great coding bootcamp curriculum is always malleable to reflect current industry trends.

Popular Data Science Bootcamp Courses

Data science bootcamps are popular around the country, especially in big cities like San Francisco, Seattle, and New York City. Most bootcamps cover roughly the same core curriculum, but schedules and other details vary widely. Due to the prevalence of data science bootcamps in 2020, there’s likely a program that fits everybody’s needs.

Coding bootcamps are available as full-time immersive programs with in-person classes, part-time, and online. Students can also attend full-time online bootcamps with live instructors and peer communications. Full-time programs have the shortest duration, and typically run for 3 to 6 months. Part-time programs can last as long as a year, depending on how often classes take place.

Online bootcamps are the most flexible option. Some programs require full-time or part-time attendance, usually via video chat. However, other online programs offer flexible non-immersive courses, which can be self-paced (with access to live instructors when necessary).

Data Science Bootcamp Interview Process

Coding bootcamps have an interview process, similar to college admissions (but usually faster). All bootcamps differ with individual admissions requirements, but the interview generally consists of 2 to 3 parts.

Before the interview, prospective students submit an application. If the admissions team approves of the application, they contact the applicant and set up a time for an interview. The first part of a data science bootcamp interview is designed to gauge if a person is a good fit for the program, and also gives prospective students the chance to ask questions.

After, applicants are often required to take a pre-admissions test. Test subjects vary, but they generally include basic coding problems, problem-solving questions, or both. Some schools are more selective than others, but applicants can often pass these tests with some basic coding study.

The final phase of the interview results in acceptance into the program. Some schools only have one interview, which means if you pass the test, you’re accepted.

Bootcamp Financing Options

Data science bootcamps are new to the education industry, so they aren’t closely tied to traditional student loan systems that disadvantage students. As a result, bootcamps have the liberty to offer alternative financing that isn’t available to college students. Bootcamps, on average, cost between $10,000 and $20,000 in the United States. Financing programs can greatly reduce (and even eliminate) the cost of attending bootcamp.

Data Science Bootcamp Loans

Coding bootcamp financing institutions, like as Climb Credit and Skills Fund, offer traditional loans. Students who are more comfortable with a traditional program can arrange to pay off tuition over time, often with a small upfront payment.

Income Share Agreements (ISAs)

Income share agreements, or ISAs, are a pioneering form of education financing, spearheaded by bootcamps. ISAs defer the cost of coding bootcamp until students find a job in the field they trained for. 

ISAs are simple and offer unparalleled confidence. When students sign up, they don’t make any payments. Instead, they stay tuition-free throughout the program and job search. Once graduates land a job making above a predetermined income threshold (often $60,000) they commit to pay 10-20% of their income for 2-4 years, or until the agreed upon tuition is paid off. If students can’t find a job, most ISAs completely waive tuition entirely.

ISAs put pressure on schools to provide relevant training and competent job placement assistance. If they fail, they don’t get paid—which can help make bootcamps better, and students more successful.

Data Science Bootcamp Structure

Data science bootcamps are different, and each course structure varies. However, most students start with an introduction to the data science field and some basic conceptual programming. 

During the intermediate phase of the course, students are exposed to data science-specific coding and querying languages, such as jQuery and SQL. Students begin working on projects with their peers, while simultaneously learning more advanced programming languages. 

Towards the end of the bootcamp, students work on final projects. These final projects are often designed to help students begin their work portfolio with real world experience, as my projects come directly from the industry. Additionally, bootcamps begin offering career counseling and job placement assistance. By the end of the program, graduates often have a portfolio, LinkedIn profile, and a strong peer network.

Bootcamp Alumni Projects and Portfolios

Data science bootcamp students have plenty of opportunities to work on projects. Due to the complexity of the field, many alumni projects are quite impressive. Numerous examples are available online, so we picked one to demonstrate what students can accomplish during a bootcamp.

 

Spam Detector

Data science bootcamp students at Praxis Business School developed a new spam detection system. The program, designed with Python, scans the internet to detect spam product reviews a conduct ‘opinion mining’ to gauge the general sentiment of program users. It’s not difficult to see how useful data science can be, and the insights it can provide for companies.

Companies Hiring Data Science Bootcamp Grads

Data science bootcamp graduates work in some of the biggest companies in the world, along with thousands of high-tech startups. Tech isn’t the only industry hiring bootcamp grads—data science is employed in every industry from mining to manufacturing, so job opportunities are everywhere.

Big companies like Google, Facebook, and Amazon are known to hire data science bootcamp graduates, though working for a big company fresh out of bootcamp isn’t particularly common. What’s more likely is getting hired by a small or medium-sized company, from which graduates gain experience and earn the qualifications required for a ‘dream job’ scenario.

FAQ

Will coding bootcamp help me get a job?

Absolutely! Coding bootcamp is a proven way to train for a job in tech. Many coding bootcamps offer job guarantees, and some refund tuition if graduates can’t find a job in the field they trained for. In fact, coding bootcamp teaches skills that many college computer science graduates lack.

How much do coding bootcamps cost?

Coding bootcamp tuition varies. Coding bootcamps in New York City cost around $10,000 to $20,000. However, many scholarships and tuition deferment programs are available, so what you see doesn’t have to be what you pay.

What are income share agreements?

Income share agreements, or ISAs, are a new way to pay for education. These programs defer tuition until after students graduate and find a job in the industry. Once students are employed and making above a certain income threshold (usually $40-60,000 per year) they begin paying a fixed percent of their income, often for around 2 years. If students can’t find a job, many bootcamps waive the cost of tuition.

Do I have to learn coding to work in the tech industry?

You don’t have to learn coding to work in the tech industry. In fact, there are several non-coding bootcamps in New York City. These programs train you for a position in tech sales, marketing, or product management–all of which are well-paid positions with plenty of advancement opportunity.

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