How to stand out as a fresh graduate looking for a data science job?

As a college or university student, it can be difficult to stand out when looking for your first data science job. Here is a suggestion. Build a project you can share with prospective employers.

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Reinforcement Learning

Simply stated: Reinforcement Learning deals with actions and rewards (positive or negative). The rewards help to dictate the future actions.

Many children learn via reinforcement learning. Here is a simple example from my childhood. As a child, I was told not to touch the hot stove.

My action: I touched the door of the hot stove when it was open.

My reward (negative): I burned my hand, and it hurt.

My future actions resulted in me staying away from the hot stove.

This was a very simplified example of reinforcement learning. Here are two more great introductory references:

  1. Simple Beginner’s guide to Reinforcement Learning
  2. Deep Learning Research Review: Reinforcement Learning

Coursera’s New Online Masters of Applied Data Science Degree

Coursera has partnered with the University of Michigan to launch a new master’s degree entirely online through the Coursera platform. The new Master of Applied Data Science degree will launch in Fall of 2019.

Also of interest, Arizona State University and the University of Illinois at Urbana-Champaign both announced masters degrees in computer science (both with data science portions) through the Coursera platform.

DJ Patil – Tips to Build a Career in Data

DJ Patil, former US Chief Data Scientist and data science legend, has a nice video with helpful tips for people looking to get into data science.

  • Strive for Curiosity
  • Follow Ethics and Security
  • Be part of a Team
  • Solve a Local Problem

SQL Tutorial from Chartio

Chartio put together a nice online interactive tutorial for learning SQL.

SQL is almost an essential tool for data science. Rarely is there a project where knowing SQL is not necessary.

Microsoft Weekly Data Science News for March 02, 2018

Here are the latest articles from Microsoft regarding cloud data science products and updates.

Conversations with future data scientists (YouTube Playlist)

Last week I spent some time chatting with future data scientists. I set up a camera to record some of the answers. Below are a few of the questions addressed.

  • How did I transition to data science?
  • Why start a data science project?
  • Should a new person focus on machine learning or deep learning?
  • What is an example data science project?
  • Why is real-time important?

Hopefully the videos and answers are helpful to others. Enjoy! And I kept most of the videos fairly short. If you enjoy the videos, please subscribe to the YouTube channel, Learn Data Science. Also, if you have a question you would like answered, please leave a comment below.