The median Data Analyst salary is, as of 2016, $56,634. As the amount of data businesses need to collate and process grows, working with big data as a data scientist or data analyst is a field with a lot of growth potential. Opportunities for data analyst jobs exist in business, healthcare, government, finance, and anywhere information that needs to be processed into a usable form is collected.
A data analytics salary is based on your ability to identify, collect, and analyze data, and then accurately report your findings. Our Data Analyst Nanodegree program teaches you the skills you need for this unique job. It is recommended that you have Python programming experience before starting this program, and you can easily pick up that experience by taking the first four lessons in our Intro to Computer Science course.
Study 8 hrs/week and complete in 6-8 mo.
Based on US job data
We built this program with expert analysts and leading technology companies to ensure you master the skills needed to meet the requirements of industry.
Our experienced mentor network will return your project within 24 hours, with line-by-line comments and tips to ensure you are mastering the material.
Take advantage of free resume and online profile reviews. You’ll also receive access to our network of hiring partners, and prepare for hiring questions with mock interviews.
Work at your own pace, on your own schedule. You can even pause your subscription for when life gets busy or you need a short break.
Build a portfolio of industry-relevant projects. Upon graduation, you’ll have an array of example work to impress any employer.
Whether you're stuck on a project or confused by a concept in class, our mentors can answer any question in personal 1-on-1 sessions.
"I never thought my set of skills would involve any understanding of technology. I'm now able to apply what I learned directly in my job, and my boss loves me for it!"
Was a Business Consultant at Microcenter
Now a Business Analyst at Tryon Equestrian Partners
"I had a hard time finding a job due to lack of relevant experience. The projects I built in the program helped me build a strong resume, and launch my career."
Was a Student
Now a Data Specialist at Gramener
"I really enjoyed learning different skills related to being a data analyst. Coming from academia, the career-related advice was especially valuable in helping me land a job.
Was an Arabic and Linguistics Professor
Now a Data Analyst at Pilytix