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How to Become a Data Analyst

How do I become a data analyst with no experience?

There is no right path into data analytics. You can gain the skills to succeed as a data analyst in several ways: through a formal education at a college or university, in a bootcamp program, on your own with self-directed learning, or through a combination of all three. Foundational data analytics skills include a solid understanding of key statistical methods for analyzing data, programming languages like Python and R, advanced Excel, working with databases using SQL/NoSQL, and Tableau, among others. Employers often focus on the data science skills you bring to their organization and not as much on how you acquired them, which means you can become a data analyst without a degree.

Can I be a data analyst without a degree or experience?

Yes! By gaining the foundational skills necessary to succeed as a data analyst, you can become a data analyst with no experience or degree. An online data analytics bootcamp is a great way to gain data analytics training to jump-start your career in this high-demand field.

How to become a data analyst

There are several ways to get started in data analytics, such as through a formal education at a college or university, in a bootcamp program, on your own with self-directed learning, or through a combination of all three.

Data analytics degree programs

Many individuals choose to pursue a four-year college degree in data analytics to prepare for careers in data analytics, data science, and more. A four-year degree, such as ASU’s Data Science BS or Business Data Analytics BS, may be a great option for you if you have both the time and financial resources to commit to a program and/or are interested in earning a graduate degree.

Professional certificate in data analytics

A professional certificate in data analytics is another great option for those looking to gain data analytics certification quickly. Online bootcamps such as ASU’s data analytics digital bootcamp offer flexible programs that can be completed in as few as five months. And because certificates can match current standards better than traditional degree programs, you will gain the data science skills employers are looking for now, helping you stand out in the job market.

Learn data analytics on your own

It is also possible to learn data analytics on your own without enrolling in a formal degree or online bootcamp program. There is a tremendous amount of material available both in print and online to help you dive into the exciting field of data science. If you are a self-motivated learner, you may enjoy developing your own curriculum and tailoring it to your own career goals and interests.

Benefits of data analytics bootcamp programs

There are many benefits of data analytics bootcamp programs. The primary benefit of a bootcamp program is to help you get a job in data analytics. These programs are specifically designed to equip you with the skills employers are currently looking for so you can succeed as a data analyst today.

Another major benefit of online bootcamps is the flexibility they provide. Many programs can be completed within a few months, and many students enjoy being able to participate online.
In addition to giving you the data analyst qualifications employers are looking for now, bootcamp programs are offered at a significantly lower price point than traditional degree programs.
Finally, many bootcamp programs offer mentorship opportunities and career preparation to help you land your first job in the field.

Learn how to become a data analyst

ASU’s Digital Bootcamp in partnership with Thinkful offers several online bootcamp programs, including one in data analytics, to help you earn a high-paying job in the tech industry. Professional certificates can be a great way to gain data analytics training so you can launch your career in the high-demand field of data science. In fact, the U.S. Bureau of Labor Statistics indicates that the number of data scientist jobs is expected to grow three times as fast as the average growth rate for all jobs over the next two decades.

Data Analyst

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