Best Online Data Science Bootcamps To Leverage Your Data Career

These online boot camps will leverage your resumes. 

Data science helps businesses understand all of the data that is being produced every minute and turn them into actions. The field is in such high demand that there is a skill gap since 2020. In this data-driven world, companies require skilled data professionals, and data boot camps are the way for tech professionals to refine their skills and enter the world of crunching numbers, analyzing data, and filling spreadsheets. 

Data science boot camps are not a replacement for academic education and the practical application of STEM. These boot camps are additional resources you can take once you obtain your Bachelor's degree, at least. When employers go through your CV, make sure that they see a combination of exposure, a valid degree, certifications, boot camps, and practical application of knowledge via projects.

Online Data Science Bootcamps 

1. BrainStation 

BrainStation has an online boot camp that lasts for 12 weeks, full time. Students will learn how t to analyze large data sets and extract information from disparate data using data tools like Anaconda, Jupyter Notebooks, and Python. With this, students can create a data science portfolio, prepare for job interviews with the help of a Hiring Manager and a Data Scientist. There is also a Student Success Team that will help candidates set the right goals and achieve them. 

2. General Assembly 

Here, you get the option of selecting the length of the boot camp. Students can either take it 10-12 weeks full-time or 9 weeks part-time. General Assembly's data analytics boot camp uses SQL, Excel, and Tableau to analyze and illustrate the data. Along with Python, UNIX and GIT, students will learn how to mine datasets, predict patterns, create statistical models, and ace the basics of machine learning. With an in-house career coach, candidates will be receiving guidance to get on the right data path. 

3. Flatiron School 

You can choose the pace of this course, 5 full months or 10 months, part-time. Students will receive foundational training in cleaning and gathering data using Python, Pandas, and SQL. Apart from this, students will also understand the steps from problem requirements to actionable insights with issue trees and experimental design. As a part of the career prep, students will work directly with a career coach to develop the skills they will need to bag a good data science job. 

4. Insight Data Science 

Insight Data Science offers an intensive fellowship that will act as a post-doctoral bridge between academics and data science. A Ph.D. is required for this course and students will learn from top industry experts to be interview-ready with leading companies. 

5. NYC Data Science Academy 

NYCDA's curriculum is beginner-friendly. It teaches beginner and intermediate data science with Python, Hadoop, Shiny, Knitr, rCharts, and other R packages. Its Hadoop and Spark boot camp uses Python, Scala, Java, and emphasizes the usage of Hadoop tools to analyze data volumes. The candidates should require a master's or a Ph.D. in science, technology, engineering, math, or a similar experience. 

6. Thinkful 

Thinkful offers a 6 monthly part-time course that is flexible and customizable. The curriculum comprises analyzing data using Python, aggregating data using SQL, machine learning, and specialization like deep learning, big data, advanced NLP, etc. 

7. Springboard 

Springboard is offering a 2-6 months, a self-paced curriculum that covers Python, data wrangling, data story, inferential statistics, and machine learning. Students can avail themselves of mentor-guided courses with job assurity. The career team will refine the portfolio, optimize resumes, and help build industry connections. The tuition fee will be refunded within six months of graduating if a student doesn't get a job. 

The Right Background for Data Scientists? 

For a data science professional, having a math aptitude is important, even if you are from a variety of professionals and educational backgrounds. Other skills that you should look to develop are problem-solving, logical reasoning, communication, data visualization, and being detail-oriented. These are the points you should look for while picking the right course.