For three years in a row, Glassdoor has named Data Science one of the best jobs in America. IBM is predicting demand to grow by about 30 percent by 2020. However as demand grows, the talent supply seems to lag behind.
It’s no secret that data science is a great field to get into. The question is, how do you get started?
Whether you’re thinking about building a career in data science or you want to add another project to your portfolio, Springboard’s free mini course, Intro to Python for Data Science, can help you get started.
Springboard knows how important having great projects in your portfolio is. In this mini course, you’ll have the opportunity to complete a real-world case study using a data set from Yelp. Designed to give you hands-on experience, you’ll work through this case study using common data science tools to explore findings and present them in a meaningful way.
By the time you complete this course, you’ll have built the foundational skills required by any data scientist.
To create this course, Springboard worked with Guy Maskall, full-stack data scientist and a long time Springboard mentor. Guy currently leads data science at CloudFactory, and is a mentor for Springboard's Introduction to Data Science and Intermediate Data Science: Python courses. He is also a community manager for the introductory course.
Guy was previously head of data science at Cobalt Light Systems (a spin-out from the U.K.'s Rutherford Appleton Laboratory in Oxfordshire), where his machine learning work on the INSIGHT100 liquid explosive detection system fueled company export growth of 300 percent. As a result, Guy won the MacRobert Award and the Queen's Award for Enterprise, and Cobalt Light Systems was acquired by Agilent Technologies in 2017.
Get started in data science today and sign up for the free course!
This post was sponsored by Springboard. Want to learn more about Springboard? Visit springboard.com or check out their reviews on SwitchUp.