The skills needed to perform Data Analyst jobs can be highly technically demanding, and data analysis can sometimes be more challenging to learn than other fields in technology. But with those challenges come rewards; with the current global shortage of data professionals, the role of Data Analyst is in demand, meaning higher pay and better job security.
How Long Does It Take to Become a Data Analyst?
Developing the skills needed to become a Data Analyst can take anywhere between 10 weeks and four years.
This range can be explained by the fact that there are many different paths to a career as a successful Data Analyst. A bachelor’s degree in computer science has traditionally been the starting point for many data professionals (that’s the four-year method), but it’s becoming increasingly common for Data Analysts to land positions directly from data analytics boot camps and courses, which can be completed in as little as 10 weeks.
Are Data Analytics Courses Worth It?
The data analytics courses are an increasingly worthwhile investment and can help you master relevant programming languages like Python. These accelerated courses have many advantages over four-year degrees, as they allow for more hands-on learning and targeted skills development.
What’s more, the demand for data professionals has never been higher and is only expected to keep on growing. In addition to the number of new positions being created in data analytics – which number in the millions – employers also reward up-to-date data training in their existing employees, ensuring that they’re keeping up with the pace of change.
Salaries for data roles already compare favorably to other careers in tech, but even if you’re already working in the data field, boosting your skillset and gaining new specializations could bump your salary further. BrainStation’s data certificate courses were created to help professionals take advantage of these opportunities, allowing them to gain hands-on experience uncovering new insights from data sets, making data-driven predictions, and generating striking data visualization.
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