Is a Data Analytics Bootcamp Worth It?

Every aspect of our modern life is impacted by data.

Every day, 2.5 quintillion bytes of data are created—a figure so large that 90% of the world's data was created in the last two years. Each data point collected allows today's firms to have a deeper understanding of client behavior and use these insights to achieve corporate objectives.

Consider the following examples of how businesses use data to help them run their operations:

  • Spotify curates new playlists based on the songs you play. 
  • Amazon’s predictive analytics suggest recommended items related to past purchases and even ship items in anticipation of your order. 
  • Hospitals use analytics to save lives by resolving inefficiencies like patient wait times, patient readmissions, and understaffed units. 
  • Intelligent power grids can increase production when and where it’s needed across the country.
  • Information systems are used to improve agriculture in developing countries. 
  • Police departments use data to predict and map crime.
  • Lawyers use data to analyze how specific federal court judges make decisions.

Information is being captured in what was once regarded as purely qualitative aspects of life—in the form of conversation and sentiment data—to help businesses understand their target market. 

But simply collecting this data is not enough. In order to effectively put this data to use, businesses need analysts who can distill actionable insights and inform corporate strategy. 

With this in mind, you might be wondering whether or not data analytics could have a role to play in your career. Moreover, what would be the best way to learn the skills that you’ll need to be successful in a world that is growing increasingly data-driven with each passing day?

Attending a data analytics Bootcamp is one of several educational options that could help you jumpstart your career in analytics. Read on to determine if a data analytics Bootcamp is right for you.

What is a Data Analytics Bootcamp?

The exact structure of a data analytics boot camp—the duration, curriculum, etc.—will vary depending on the specifics of the program. Bootcamps, however, are typically characterized as short, intensive academic programs designed to quickly teach the student a particular subject. 

Some data analytics boot camps are designed to teach participants the basics of working with data. Others are designed to delve much deeper into a particular subject area—for example, data collection methods or specific analysis models. For that reason, if you are considering attending a boot camp, it’s critical that you are certain the Bootcamp will align with your particular needs and goals.

Why Should You Go to a Data Analytics Bootcamp?

1. Positive Job Outlook

As previously mentioned, businesses of all types and from all industries now use data to inform their corporate strategy. All of this data is empty information without data analysts—people who can analyze, organize, and interpret it. These professionals examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.

2. Relatively Low Cost and Time Commitment

Enrolling in a data analytics boot camp is relatively less expensive than other educational options, with the most popular options costing anywhere from $3,000 to $10,000. And, because most can be completed in a matter of weeks or months, participants are generally able to begin seeing an immediate return on their investment.

It is important to note, however, that because of their condensed nature, boot camps cannot provide the same level of comprehensive training that degree programs can (and do). In some cases, this can leave participants with superficial exposure to topics or concepts which will need to be elaborated upon at a later date, whether through additional boot camps, an advanced degree, or self-education.

3. Ability to “Test the Waters”

Because boot camps are relatively low-cost and low-time investments, many participants see them as an ideal way to “test the waters”—to experiment with a data analytics career before enrolling in a degree program. In this way, boot camps can be especially helpful to individuals who are considering making a career transition into analytics from a non-analytical role.

Additionally, when a bootcamp is offered from an educational institution like syntax technologies, they can often (though not always) be applied towards an eventual degree. If your plan is to attend a bootcamp first and then eventually use that experience to count as credit towards a certification, it is important that you understand the institution’s policy before you enroll. 









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