Home Bootcamps All About Data Science Bootcamps: Are They Right For You?

All About Data Science Bootcamps: Are They Right For You?



Employers favor qualified and experienced data scientists. These professionals can qualify for lucrative jobs and earn a high salary – among the highest of all tech occupations, according to the Bureau of Labor Statistics (BLS).

A data science bootcamp hones valuable big data, analytics, and programming skills. Plot ? Read on for everything you need to know about career-focused data science bootcamp programs.

How is data science used?

Data science is about finding patterns in digital data and information using math and statistics. Bootcamps help data scientists improve their skills in analysis, extraction and processing. Data science jobs abound in tech, finance, healthcare, and government.

Bootcamps incorporate the skills sought after by top employers, including expertise in multiple programming languages. The best data science bootcamps teach programming languages ​​like Python, Java, and JavaScript.

Data Science Bootcamps

Data Science Bootcamps are suitable for early to mid-career tech professionals looking to advance their rank or change careers. Admission requirements vary depending on the scope and prestige of the program. Most bootcamps require a bachelor’s or master’s degree in STEM, although some require a doctorate.

Data science bootcamps typically require applicants to have experience in at least one programming language and knowledge of basic statistics and data modeling. Some vendors offer bootcamps focused on Python, one of the most widely used programming languages.

How much do data science bootcamps cost?

Tuition fees for data science bootcamps vary based on factors such as reputation, program, company affiliations, and instructors. Some bootcamps offer accelerated programs for under $ 7,000, while others charge up to $ 18,000 for a full, full-time experience led by top experts.

Many data science bootcamps honor military / veteran benefits. They may offer discounts for previous academic or professional experience. Free data science bootcamps exist, although these courses are often less comprehensive than the paid options.

What kinds of jobs can I get with data science knowledge?

Data science bootcamps can pave the way for many lucrative careers. Bootcamps focus on skills such as data analytics, visualization, predictive analytics, and programming, all highly desirable in popular data science professions.

Job options for data science bootcamp graduates include:

Entry-level jobs generally require at least a bachelor’s degree.

How much can I earn after a data science bootcamp?

While careers and salaries vary for data science bootcamp graduates, there are plenty of lucrative opportunities in the tech industry. Below are some of the most popular data science jobs and their median annual salaries as of 2020, according to the BLS.

Is Data Science For Me?

Tech jobs may be in high demand and well paying, but they are not for everyone. Students should weigh the pros and cons of a career in data science before committing their time and effort.

Few professionals have the expertise needed for lucrative data science positions. This is good news for those completing a graduate program or a heavy-duty training program, as the field is less saturated than the more competitive tech roles.

Many find data science skills difficult to master. Even highly skilled data scientists rarely become experts in computer science, mathematics, and statistics. Professionals who rise to the occasion are generously rewarded. The BLS projects job growth of 15% between 2019 and 29 and a median salary of nearly $ 127,000 for data scientists.

Bootcamp providers

Data Science Bootcamp


Cost: $ 9,500; deferred and monthly payment plans available

Site: In line

Registration: Part time

Completion time: 6 months

Program : Python, SQL, machine learning, special topics in data science

Data Science Bootcamp

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Flat iron school

Cost: $ 16,900; loan and installment plans available

Site: In line; Austin, Chicago, Denver, Houston, New York, San Francisco, Seattle or Washington, DC

Registration: Full time or part time

Completion time: 15, 20, 40 or 60 weeks

Program : Python, Jupyter Notebooks, SQL, Scientific Computing and Quantitative Methods, Basic to Advanced Machine Learning, Data Science Project

Data Science Course


Cost: $ 8,190 (€ 6,900) for the part-time online program; in-person costs vary

Site: In line; Asia, Americas, Africa, Europe, France or Middle East

Registration: Full time or part time

Completion time: 9 or 24 weeks

Program : Python, Jupyter Notebooks, SQL, Pandas, Numpy, advanced machine learning, final project

Data Science Bootcamp



Cost: $ 13,140; upfront discount and deferred, monthly and loan payment plans available

Site: In line

Registration: Part time

Completion time: 6 months

Program :

Python, Matplotlib, Seaborn, machine learning, statistical inference, Capstone project

Data Science Course


General assembly

Cost: $ 15,950; Upfront remittance and deferred payment, loan and installment plans available

Site: Online or in person

Registration: Full-time immersive, flexible or part-time immersive

Completion time: ten, 12 or 24 weeks

Program : Python, exploratory data analysis, classical statistical modeling, machine learning, fundamentals of data science, professional synthesis project

What is the difference between data science and data engineering and data analysis?

In short, data scientists analyze and interpret all “big” and complex data. Data engineers develop, build and test data systems. Data analysts focus on analyzing numeric data only.

What are the most common data science programming languages?

Python, SQL, R, C ++, and Java are some of the most common languages ​​required for the best data science jobs and are a priority in most data science bootcamp programs.

Where can I learn data science for free?

Many open courseware platforms such as Coursera and EdX offer free data science courses. In addition, some bootcamps facilitate free classes through financial assistance or “bring a friend” promotions; others delay the collection of tuition fees until graduates are hired.



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