The world has becoming a global village, and tremendous transformations are taking place in the IT landscape. This has led to an increase in demand for skilled data scientists.

 According to a Mckinsey Global institute report, demand for skilled data scientists was growing at about 12% per year as of 2016.

Since then, the situation has become better since large cities in the US still battle with inadequate skilled data scientists.

This further shows that there is a national shortage of about 151,717 people with data science skills in the US.

Consequently, it is expected from McKinsey's report that by 2024, there is likely to be a shortage of about 250,000 data scientists in the United States.

Sure, with this, you can see the obvious lucrative side of data science. Bootcamps can help you take a fast-track way to getting into the professional field of data. We’ll help you understand how to decide which data science Bootcamp will be best for you to achieve your career goals.

What Is Online Data Bootcamp?

Data Science Bootcamps are rapid training courses that aim to train unskilled individuals in data science to a level where they can embark and make meaningful contributions to a project of data analysis.

A unique feature of online Data science Bootcamps is the fact that they usually combine a lecture style presentations with hands-on coding challenges to help students gain practical knowledge of the basics of data science.

More so, online data science also entails some kind of capstone project (or portfolio focus module) and interview advice.

Reasons You Should Learn Data Science?

Apparently, the future of this profession is prosperous, but there are plenty other reasons to learn data science.

Even if you don't want to work as a full-time data scientist, it's still important to understand the subjects taught in data science Bootcamps.

With the basic knowledge of some of these courses, you can function in an IT team in many different ways such as:

  • Enabling them to monitor the health or status of an application so that they can predict and respond to application outages. This will definitely save time and money.
  • Helping organization owners to process huge quantities of data that will help them to come up with predictive models and insights about their businesses.
  • The basic knowledge of data science will help you to be familiar with concepts such as predictive analytics, ML, and AI.

Choosing The Right Data Science Bootcamp For Yourself?

With your exposure to the need to learn data science, I believe you would want to make a move. Well, there are certain criteria that you should consider to choose the right online data science Bootcamp. These includes:

  • Technologies used for training
  • Duration of the program
  • Basic educational requirements
  • Cost
  • Location

Some Reputable Data Science Bootcamps You Can Try

There are several online data science Bootcamps, but for you to acquire adequate knowledge, you should look out for the best of data science Bootcamps.

So, here are some suggestions on some reputable online data science Bootcamps you can enroll in:

·      Data Application Lab

Why: Data Application Lab is one data science institute that's poised to help students gain practical experience in cutting edge technology.

Location:Online, Los Angeles, Silicon Valley

Cost: $6600

Program Duration: 12 weeks full time

Requirements: STEM background

Technologies: Hadoop, Spark, Python, SQL

·      NEIU Bootcamp

Why: NEIU Bootcamp is another good data science bootcamp with facilities to each you the rudiments of data science. Among all the various aspects of data science, NEIU Bootcamp focuses on statistics and computer science, which are core areas of data science training.

NEIU Bootcamp is also known to have a vast hiring partner potential, and this serves as a reason why they can refund your enrolment fee once a partner company hires you. It also offers several part-time short courses in addition to their full-time program.

Location: New York, NY

Cost: $15,500

Program Duration: 8 weeks of full-time

Requirements: Basic knowledge in SQL, as well as object-oriented programming languages such as Java, C++, C#, etc., a good mathematic and problem-solving skills

Technologies: Hadoop, Python, R, Spark

·      Data Science Dojo

Why: Data Science Dojo’s Bootcamp is outstanding for the well-rounded curriculum that is designed to cover the basics of data science and data engineering in 5 days.

Location: Seattle, WA; New York, NY; Austin, TX; Chicago, IL; Toronto, Canada; Singapore

Cost: $3000-$3500

Program Duration: 5 days

Technologies: R and Hadoop

·      Data Science Europe

Why: Data Science Europe Enrolling in data science Europe guarantees you the privilege of being trained by instructors who are all data science professionals from reputable tech companies.

Where: Dublin, Ireland or Online

Cost: €7500

Program Length: 6 weeks

·      General Assembly

Why:General Assembly is known for its extensive location coveragefor all its data science programs as well as flexible lecture schedules.

Location:Atlanta, GA; Austin, TX; Boston, MA; New York, NY; Los Angeles, CA; San Francisco, Washington D.C.; Chicago, IL; London, UK; Hong Kong; Australia

Cost: $15,950

Program Duration: 12 weeks full time

Technologies: Git, UNIX, SQL, Python

·      Basecamp

Why: Basecamp, an Austria-based data science Bootcamp focuses on enhancing students' theoretical knowledge as well as improving student’s practical skills in statistics, machine learning technology, and development processes.

Location: Vienna, Austria

Cost: €5000

Program Duration: 8 weeks full time

Technologies: Python, R, SQL, NoSQL, Git, Spark

·      Texas A&M

Why: Texas A&M is known to offer Data Science Bootcamp, as well as a short course in Python.

Unique about Texas A&M's curriculum is a well-spaced Data Science Bootcamp, which is super-flexible and in-line with student's needs.

One unique feature of Texas A&M is the 1-on-1 mentorship that they offer their students.

Location: Online

Cost: $7K-12K for the Bootcamp

Program Duration: 6 months for the Bootcamp programs and 3 months for Python course (recommended)

Requirements: None

Technologies: Python

Wrap Up

The knowledge of data science is very important, not only for analytics but everyone who wishes to be a part of the growing space in the IT land space. If you have zero data science experience but want to attend a data science Bootcamp, you may not know which is the best or less, 

Usually, questions asked by people at this stage is “how do I acquire this skill?”  The answer is not farfetched; knowledge of data science can be acquired from data science boot camps. Well, the article would have guided you on how to decide which data science boot camp is right for you. Good luck with choosing the one best for you.