Demystifying Data Science Free Online Conference is July 30-31! Register Now

SDS Roundup: Importance of SQL for Job Prep, Deep Learning Cheat Sheet, & More

By Emily Wilson • November 14, 2018

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.


Damien Martin, Sr. Data Scientist - Corporate Training

Damien's blog is a great one for aspiring or early data scientists to follow, as evidenced by scrolling through his many recent posts that cover practical topics in an approachable way while offering exercises to help readers build up needed knowledge and skills. We'd like to highlight a few of these posts, including Prepping for the Interview - SQL, which describes a collection of exercises Damien published on Github that are sure to help readers prepare for upcoming interviews that expect them to know SQL (and most will). He's thus far uploaded 5 exercises and hopes to add more in the near future. 

In the post Name to Age, Damien provides an interesting way to explore the use of Baye's theorem and Naive Bayes as he walks you through an exercise quantifying the amount of information name and gender can give about someone's age. And in yet another practical post, Data Lakes, Data Warehouses, and Databases - Oh My!, Damien goes over the differences between those three types of data storage.  

Be sure to check back regularly as Damien adds more material to help you grow as a data scientist.

Jonathan Balaban, Sr. Data Scientist

Course Report recently featured Jonathan in a recorded webinar about SQL, which is one of his passions. In the nearly 40-minute chat, he explains the vital importance of learning SQL. (As we mentioned above, most job interviewers will expect you to know it!) As Course Report puts it in the blog post summarizing the webinar, SQL has a "wide variety of uses, and not many alternatives," making it a "technology that you'll arguably need to use no matter what job you get in tech." 

Watch the webinar to hear Jonathan answer questions about what SQL is used for, which companies are using it, and how you can learn it as a beginner.

Brendan Herger, Sr. Data Scientist

Brendan's blog is another one to follow – filled with posts demonstrating his natural ability to teach and explain. In his latest post, he provides readers with a Cheat Sheet: Deep Learning Losses & Optimizers, and his provided Intro sums it up nicely:

"Deep Learning is a radical paradigm shift for most Data Scientists and is still an area of active research. Particularly troubling is the high barrier of entry for new users, usually centered on understanding and choosing loss functions and optimizers. Let's dive in, and look at the industry-default losses and optimizers, and get an in-depth look at our options."

Let's dive in, indeed! Visit his blog for more.

__________

Meet the rest of the Metis team and check out ways to join us!


Similar Posts

data science
Made at Metis: Recommendation Systems for Making Meals + Choosing Beer

By Emily Wilson • July 08, 2019

This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a meal recommendation app based on the produce you have at home + a recommendation engine to help you choose your next favorite beer.

data science
Sr. Data Scientist Roundup: Effects of AI Bias, Impact Hypothesis, and Tips for Hiring Your Data Team

By Emily Wilson • March 26, 2019

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

data science
New: Advancing Women in Data Science Scholarship in Seattle & Chicago

By Metis • July 12, 2019

Our brand new Advancing Women in Data Science Scholarship is for women, trans, and non-binary aspiring data scientists who wish to attend our Data Science Bootcamp in either Seattle or Chicago. There are two full-tuition scholarships available in each city for the Fall 2019 bootcamp - apply by July 29th!