How to Become a Data Analyst
Do You Need a Degree to Be a Data Analyst?
No, you do not need a degree to be a Data Analyst, but you do need the right hard and soft skills to be considered for a role in data analysis.
Keep in mind that traditionally, most entry-level Data Analyst jobs have required at least a bachelor’s degree. And having a master’s degree in Data Science or Business Analytics is very helpful—in 2017, IBM found that 39 percent of Data Scientists and Advanced Data Analysts jobs required a master’s or PhD.
What is the DIfference Between a Data Analyst and a Data Scientist?
A Data Analyst finds meaningful insights from data, effectively finding answers to a given set of questions from data. A Data Scientist, on the other hand, aims to predict the future using past patterns and trends.
Becoming a Data Analyst, therefore, is not quite the same thing as becoming a Data Scientist, which is generally a more senior position involving more technical expertise. In many ways, data analytics can be considered a more entry-level field; it’s more narrowly focused on business intelligence (BI), which might remove barriers to entry for people who have the skills but not the degree. In fact, across industries and fields, many organizations value skills and experience over formal education, such that some have even dropped educational requirements.
Are Data Science Bootcamps Worth It?
Yes, data science bootcamps and courses are an increasingly worthwhile investment. Bootcamps and courses teaching data science and analytics skills have quickly grown in popularity because they offer the kind of focused, accelerated and immersive learning best suited to equip people for careers in data with the field-specific, job-ready skills they’ll need. In fact, more than 90 percent of BrainStation bootcamp graduates find work within six months of graduation.
The best of these programs help students learn a tailored selection of field-specific languages and platforms that can open a number of doors on the job front:
They also provide hands-on experience with:
- Data collecting
- Data analysis
- Data visualization
- Statistical analysis
- Predictive analytics
The success of data science bootcamps may also come down to financial considerations. According to Course Report, the average tuition for a four-year computer science program is over $163,000, with bachelor’s degree holders earning an average of $59,124. Bootcamps that specialize in data science skills, on the other hand, are usually 12 to 14 weeks long, with tuition in the $11–15,000 range—and these bootcamp graduates go on to earn an average of $70,698.
Kick-Start Your Data Analyst Career
We offer a wide variety of programs and courses built on adaptive curriculum and led by leading industry experts.
- Work on projects in a collaborative setting
- Take advantage of our flexible plans and scholarships
- Get access to VIP events and workshops
Recommended Courses for Data Analyst
The Data Science Full-Time program is an intensive course designed to launch students' careers in data.
The part-time Data Analytics course was designed to introduce students to the fundamentals of data analysis.
Taught by data professionals working in the industry, the part-time Data Science course is built on a project-based learning model, which allows students to use data analysis, modeling, Python programming, and more to solve real analytical problems.
The part-time Machine Learning course was designed to provide you with the machine learning frameworks to make data-driven decisions.