Best Languages for Data Science

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Ben Sullins and Free the Data Academy

51:13

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01.01-career tips from a cryptocurrency engineer.mp4

00:50

01.02-erics company.mp4

01:58

01.03-what is a crypto protocol.mp4

07:05

01.04-what problem does blockchain solve.mp4

02:19

01.05-how did eric become a data scientist.mp4

04:38

01.06-the difference between data science and data analytics.mp4

04:07

01.07-what should new data pros focus on.mp4

12:45

01.08-advantages of r over python for data visualization.mp4

04:22

01.09-are jupyter notebooks really used in production.mp4

02:26

01.10-which database platforms should data scientists learn.mp4

02:53

01.11-what soft skills are important for data scientists to learn.mp4

02:04

01.12-what a data science interview is like for a hiring manager.mp4

03:42

01.13-what is data science.mp4

00:36

01.14-next steps.mp4

01:28

Description

The languages you learn as a data scientist are important to the path your career will take. In this audio-only course, Ben Sullins interviews Eric Stone, the head of Data Science at Flipside Crypto. Eric shares his insights into what languages are popular and which ones you should consider mastering for your data science career. After introductions, Eric dives into what analytics means in the world of crypto. He and Ben discuss crypto protocols, blockchain, and the importance of trust in the crypto world. Eric shares the story of how he became a data scientist, then he and Ben go into the skills and mindset needed to succeed as a data scientist. They cover what new data professionals should focus on, including R, Python, Jupyter notebooks, and enough flavors of SQL to enable you to troubleshoot effectively. Ben and Eric go over soft skills and interviewing challenges, then finish up with a discussion on the value of data science and some recommended next steps.

Note: This course was created by Ben Sullins and Free the Data Academy. We are pleased to host this training in our library.

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Data Science

Ben Sullins and Free the Data Academy

Instructor's Courses

I run Free the Data Academy which offers high-quality Data Skills training online. I've worked in data since the late 90's in nearly every role out there and in 2013 began sharing what I've learned through online courses. You can find my courses here on LinkedIn and on my own academy at FTDAcademy.com

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.