As a response to the high demand for Data Scientists in the Software development industry, the foundation of Data Science BootCamps was laid, and to reward the founders, it has been a huge success, since its advent. Every year thousands of graduates or drop-outs upskill themselves and land their dream job with the help of a Data Science BootCamp.

There are many students who couldn’t learn Data Science in their educational institution due to several factors. There are many learners who had to drop out of college, to acknowledge the knowledge and capability of such enthusiasts a Data Science BootCamp provides them with learned Mentors and study material to assist them in coming out with the most appropriate solutions.

A Data Science BootCamp can be as small as a batch of thirty students or it can be as dense as thousands in a batch. The learning perspective grows exponentially in a Data Science BootCamp, as you can learn more from the doubts and solutions of peers. A lot of brainstorming and contests are there, that keep the students on their toes and updated.

If you are thinking of getting enrolled in a Data Science BootCamp, you need to stay active and make the best out of it. Admission to a good Data Science BootCamp comes with a lot of effort and patience, hence you need to have a progressive learning curve.

**Introduction**

There’s no actual “shortcut” for becoming a data scientist. So, let’s keep that subject aside for now and focus on our real subject.

College is quite expensive, takes at least six years to earn a master’s degree, and leaves graduates with a plethora of theoretical knowledge, but little hands-on training. Top-notch data science bootcamps are intense, immersive, and aim to get graduates the data science skills they need to get a job easily and at a higher pace.

Data Science BootCamps offer a three-month-long or so immersive data science bootcamp that clubs together instruction into machine learning, statistical analysis, natural language processing, and data visualization.

Frank Burkholder, Lead Instructor and Principal Data Scientist for Galvanize Denver, says that people who want to go out and get a job in data science need to be statistically trained, understand linear algebra and calculus, and have some programming skills. Employers are clamoring for more skilled workers who can jump into a job with both feet and hit the ground running. Degree programs are more theoretical; more academic, he says.

That’s why “Galvanize and other coding bootcamps have done so well.”

There is a broad difference between having specific knowledge in all of the areas necessary for getting a job in the field of data science and practical use of this knowledge, he included.

Leading Data Science Instructor Frank Burkholder Dr. Jarred Bultema, who graduated from Galvanize data science bootcamp in the first week of August, already had a Ph.D. in biochemistry and was a renowned professor of biochemistry at the University of Colorado Colorado Springs campus before enrolling at Galvanize.

“I was looking for a career transition and thought I would try it,” he says. “The appeal of the bootcamp program is the rapid process to reskill and people do get jobs out of it.”

The program was quite more effort-taking than he assumed but “three months is doable.” He even mentioned that if the program would have been longer, he might have left it incomplete.

Know more about Data Science BootCamps and try to explore this domain and get yourself enrolled in a Data Science Bootcamp for getting the desired results.

**The 8 Best Data Science Bootcamp Prep Programs**

**1. Flatiron School Data Science Bootcamp Prep**

**Duration:** Self-paced

**Curriculum:** Students will learn how to code in Python, given an introduction to machine learning, and revise the concepts related to math fundamentals. This course includes all the data types, variables, and collections present in Python; gradient, descent, and calculus for machine learning; and graphs and calculus. You are going to learn with two, hands-on projects using the Learn.co platform.

**Assurance:** Data Science Bootcamp Prep students who send their applications to Flatiron School are fast-tracked through Flatiron School’s admissions process as a high priority applicant to the full-time Immersive Data Science Bootcamp course.

**Course Fee: **Absolutely Free

**2. Metis Bootcamp Prep: Beginner Python & Math for Data Science**

**Duration:** 36 hours

**Curriculum: **This course is designed for complete beginners (assuming that they have no prior knowledge of programming) who need an introduction to basic Python programming skills and mathematical essentials you’ll need for entering the data science & analytics bootcamps. This real-time course is conducted with the help of platforms such as Zoom and Slack.

**Assurance:** Those students who complete the prep course are given a higher priority by the Metis admissions process for the Metis Data Science & Analytics Bootcamps.

**Course Fee:** $750

**3. Metis Bootcamp Prep: Intro to Data Science**

**Duration:** 36 hours

**Curriculum:** This course is for those who have a basic understanding of Python, statistics, and linear algebra. It covers the core concepts and technologies taught at data science bootcamps, including basic machine learning principles and hands-on coding. This is a real-time course that’s run via Zoom and Slack.

**Assurance:** Those students who complete this preparation course are given a higher priority by the Metis admissions process for the Metis Data Science & Analytics Bootcamps.

**Course Fee:** $750

**4. Brainstation Data Science Bootcamp Prep Course**

**Duration:** 13 video lessons

**Curriculum: **This video-based preparation course was designed for beginners. You will learn how to visualize data, create a data narrative, and design a dashboard and other similar things.

**Assurance:** None

**Course Fee: **Absolutely** **Free

**5. LearningFuze Intro to Data Science Course**

**Duration:** 2 weeks, 10 hours per week (Saturdays, Mondays, and Wednesdays)

**Curriculum:** You are going to learn about Python foundations, starting from introduction to statistics, GitHub workflow, data science foundations, and you’ll also create a full-fledged project.

**Assurance:** A prerequisite to prepare for the Data Science Full-Immersion at LearningFuze.

**Course Fee:** $145, free for all Info-Session attendees and students who have been enrolled in the Data Science Full-Immersion program.

**6. Springboard Data Science Prep Course**

**Duration:** 4-6 weeks, 10-15 hours per week

**Curriculum: **This course even comes with six face-to-face calls with the Mentor . Learn about using Python with real-world coding exercises, foundations of probability, fundamental computer science, data wrangling and visualization.

**Assurance:** Preference-based Data Science Career Track application review and admissions fast-tracking upon course completion.

**Course Fee:** $490

**7. NYC Data Science Academy Bootcamp Prep Bundle**

**Duration: **15 days

**Curriculum:** The set of courses include: Basic Python, Data Science with Python: Data Analysis and Visualization, and Data Science with R: Data Analysis and Visualization. Candidates may purchase these three courses separately, but purchasing the bundle together offers you a discount.

**Assurance:** None

**Course Fee:** $5,000 (financing through Climb Credit available)

**8. General Assembly Free Intro to Data Science Class**

**Duration: **3 hours

**Curriculum:** This live class is too informative for those who are not quite certain if they even want to pursue a data science career or preparatory course. It includes the fundamentals of data science, the ways of implementing it, key tools and processes, and how to get started in data science to give you an idea of how a real data scientist performs his tasks.

**Assurance:** None

**Course Fee:** Free!

**Online Resources to Prepare for Data Science Bootcamp **

Open-source resources to prepare:

- Udacity Intro to Data Science
- Data Science A-Z on Udemy
- The Best Python Tutorials for Beginners
- Kaggle Datasets Courses

Subscription-based ways to learn data science:

## Frequently Asked Questions

**What are the 10 Best Data Science Bootcamps of 2021?**

The Best Data Science Bootcamps of 2021 are:

1. Flatiron School Data Science Bootcamp Prep

2. Metis Bootcamp Prep: Beginner Python & Math for Data Science

3. Metis Bootcamp Prep: Intro to Data Science

4. Brainstation Data Science Bootcamp Prep Course

5. LearningFuze Intro to Data Science Course

6. Springboard Data Science Prep Course

7. NYC Data Science Academy Bootcamp Prep Bundle

8. General Assembly Free Intro to Data Science Class

9. WeCloudData

10. Propulsion Academy

**Are data science bootcamps worth it?**

Yes, data science bootcamps and courses are having an exponentially increasing worthwhile investment. As numerous organizations currently acknowledge demonstrable skills and experience over mere credentialism, enrollment in data science bootcamps—with their emphasis on focused, hands-on practice, immersive learning is increasing.

## Key Takeaways

Data Science is a passion for many engineering graduates. A Data Science BootCamps finds you in an optimistic environment with people of your kind. In a Data Science BootCamp students come with multiple approaches for solving a single problem, you can always have a glance at your peers’ solutions for learning the most suitable one, and the next time, you can come up with the most optimal solution on your own. This is how it scales up your knowledge and efficiency.

The students get a Mentor from a professional working organization along with well-written tutorials that teach them every minute detail of Data Science and Data Analytical. Post this, students have earned hands-on experience in Data Science. In the future, there is a very high probability of students from these Data Science BootCamps getting shortlisted by top-notch companies such as Amazon, PayPal, Uber, and so on, for internships and job opportunities.

Hence, don’t think that if you have an employment or educational gap you can’t end up having a fruitful career. Happy Coding!

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