How to Become a Data Analyst
How Much Do Data Analysts Make?
The average salary for a Data Analyst in the U.S. is $75,456; this rises to $96,852 among Senior Data Analysts. Making the eventual transition from Data Analyst to Data Scientist can boost this number even further: across the data science field as a whole, annual compensation averages $100,000.
But in some fields, even Junior Data Analysts can achieve that same benchmark; according to a recent study by Springboard, Data Analysts in natural resources and mining can expect salaries north of $100,000, while those working in professional, scientific, and technical services earn an average $90,000. Those employed in the finance and insurance sector average around $90,000 as well—which tallies to roughly 400,000 jobs.
How Much Can Data Professionals Make?
There’s evidence that, for people already working in the field, boosting your skill set in specific areas could give your salary another significant bump. According to IBM’s report, data analytics professionals with MapReduce expertise pull in an average annual income above $115,000, and professionals with experience using Apache Pig, Hive, and Hadoop are all in the market for jobs that average over $110,000 per year.
According to IBM, the right certification could open a lot of doors. Their report noted that if its forecast supply of 2.8 million “analytically savvy” workers turns out to be correct, nearly every one of those workers would have to change jobs annually to fill the required data analytics and data science positions—which makes achieving rapid upward mobility that much more possible.
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
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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.