With each new technological advancement, the data science industry grows a little wider.

Data science is one of the most rapidly-growing fields to date, and the number of in-demand career paths only continues to rise with each passing year. It is an essential component for accelerating the growth, transformation and profit of a company in a cost- and time-efficient way.

The most successful data professionals understand the importance of having a full understanding of the evolving data science world, alongside a skill set that complements the entire data science lifecycle. With well-rounded knowledge of how to capture, maintain, process, analyze and communicate data, data scientists and other data professionals operate with a high level of flexibility that enables them to adapt with consistent change.

What is data science?

Data science is the use of modern tools and techniques to study large volumes of data, specifically for the purpose of revealing important internal and external insights to a business. It combines a variety of principles and practices from different fields, including mathematics and statistics, computer engineering, artificial intelligence (AI) and advanced analytics.

The rise of technology has led to an accelerated surge of data sources; never in history has data been so widely available and accessible. As a result, data science has become one of the fastest growing fields within every industry.

Harvard Business Review officially dubbed data science the “sexiest job of the 21st century,” so you know there’s never been a better time to get into the industry.

What are the benefits of data science?

Proper data science allows for a wide range of benefits, including trend identification, new innovation, talent retention and higher levels of company growth, operations and efficiency.

When companies don’t implement effective data science strategies, they’re unable to gain clear insight into their strengths and weaknesses, their customers wants and needs, and more. Ultimately, this often leads companies to become obsolete or, at best, struggle to keep up with other companies in the industry who are able directly solving internal and customer problems through the revelations of their data.

Some of the benefits of data science include:

  • Identifying otherwise unknown patterns and relationships
  • The ability to innovate new products and solutions
  • Improving customer service and the user experience
  • Resolving issues quickly upon discovery
  • Unlocking new opportunities, partnerships, and clientele
  • Recruiting and retaining top talent for the organization
  • Achieving higher levels of company growth and revenue

In addition to the above benefits, learning about and practicing data science within your workforce is highly beneficial for your team. It empowers management to make better, more accurate decisions, and equips employees with the knowledge and tools they need to be more efficient, productive and successful.

As a practice, data science is important because organizations are more inundated with data than ever, and without a proper strategy for collecting, storing and generating meaning from your information, the data itself is useless.

What data science career is right for me?

Depending on your education, experience, goals and other factors, there are many different data science career options for you to choose from.

For those brand new to the industry or with only a few years of experience under your belt, you might consider the career of a Junior Data Scientist, Junior Data Engineer, Junior Data Analyst, Business Analyst or Statistician.

Those who have a more fluent level of experience in the field and are seeking a promotion or other form of career advancement might pursue a position such as Data Scientist, Machine Learning Engineer, Senior Data Scientist, Data Engineer or Data Architect.

How can I implement data science at my company?

You can implement data science at your company by training current employees, hiring new employees or creating policies that encourage data collection and analysis.

One of the most popular, cost-effective ways to implement data science at your company is to train your employees. While not a new training method, bootcamps have become more flexible and industry-adaptable than ever, leading countless organizations to integrate this educational method into their onboarding and training strategies. 

Bootcamps offer a viable way for both aspiring data scientists and those experienced in the field to refine their relevant knowledge and skills, as well as learn the best ways to integrate the best data-driven strategies into their work and company.

Only you can identify whether a data science bootcamp is worth it for your personal and professional career path. But if you’re feeling overwhelmed or unsure of where to start, you can always send us a message and we’ll help you better figure out what your next professional steps should be.

Put data science to use today

Pace’s Data Science Bootcamp is designed to accelerate your understanding of critical data science concepts and refine your team’s skills and techniques so they are better equipped to mine, purify and analyze large or complicated sets of data.

You don’t need any prior experience to get started. In less than six months, we’ll help you start or advance your data science career as you pursue the career you deserve.


Contact our Admissions team today to learn exactly how our bootcamp can help advance and grow your organization by implementing a wide range of data science best practices.