10 Programming Languages And Tools Data Scientists Use Now

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Looking to get started with data science but not sure how to get started? Take a look at our list of 10 programming languages and tools that are hot among data scientists and data analysts right now.

Looking to break into the field of data science or to gain the skills to be able to transition to this field in the future? Interested in becoming a data analyst and perhaps eventually moving into a data scientist role?

Then you're probably doing some research about what data science tools and programming languages you should learn first to to maximize your chances of landing your dream job. Should you focus on mastering R? Or would it be better to make Python a priority? If you already know one or both of these languages, which ones should you focus on next? Are there up-and-coming tools?

Whether you are preparing to apply for your first job at a new company or looking to transfer to a position in your current company, we've collected this list of the top skills, programming languages, and tools that current data scientists and analysts are using now and the ones that employers say they want in job listings for data scientists. Take a look at this list as a starting point for helping you decide what skills you should learn next.

[Get your kid started with coding now. Read 9 Fun Tools For Teaching Kids To Code.]

Pursuing a career as a data analyst or data scientist is a great idea. Careers website Glassdoor ranked Data Scientist as the Best Job in America for 2016, paying a median base salary of $116,840, with plenty of job openings available. Data scientist also topped Glassdoor's list of best jobs for best Work-Life Balance. 

Professionals with the right skills are in high demand today, since so many businesses find themselves drowning in data. These organizations are in industries from financial services to oil and gas, to retail, healthcare, and alternative energy.

They are collecting enormous amounts of data and need help managing it, analyzing it, and using it predict problems and solve them. So there are opportunities across a wide range of industries solving some of the world's most interesting and biggest challenges.

Ready to get started? Take a look at our list. If we've missed something, please feel free to add it into the comments section below.

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