Learn Data Science in Python, Build ML Project with Professional
By Benjamin Bell
per session ( 30mins)
Max participants: 1
Are you trying to break into the field of data science? Here's the thing - there really is only one thing that a company looking to hire a data scientist cares about: your portfolio. To hire you as a data scientist, a company wants to see that you can independently develop and build a machine learning project from scratch. They want to see that you can follow a logical step-by-step process, write clean code, and respond intelligently to the unique circumstances of the data you are working with. No number of online certificates can replace that. On your own and without any experience, this can be a daunting challenge. I'm here to help. As a data science mentor, I've helped dozens of students build machine learning projects from the ground up. I can help you develop a plan, think through the intricacies of the problem, and ensure you hit all the essential points (and avoid any red-flag weaknesses) to impress hiring managers. Don't feel ready yet to start tackling an ML project? I can also help guide you in learning the elements of the data science skill-set such as: Python and the essential data science libraries: Pandas, Numpy, Sklearn, Matplotlib The essential statistics data scientists use to test their ideas How to craft a compelling narrative with your data and ensure non-technical colleagues/executives grasp the key takeaways How to build, train, and evaluate Machine Learning models for regression, classification, and recommendation
About Benjamin Bell
I know what it’s like to try to break into Data Science. In September 2014, I drove to San Francisco from my home in New Haven, CT to attend a data science bootcamp called Zipfian Academy. Three years, two data science jobs and a few consulting engagements later I began teaching as a mentor at Springboard, an online data science bootcamp, and over the next year and a half I had the pleasure of working with dozens of students, taking many of them from little or no data science knowledge or coding ability all the way through developing machine learning projects for their portfolios. Now, I’m offering my services independently and am excited at the prospect of guiding many more potential data scientists in their careers.