The End of Entry Level Jobs
If it seems like few companies are interested in hiring recent graduates and those with little to no experience, you’re right. There are a few factors contributing to what could become the end of entry level jobs.
July 3rd, 2021
Advice For Data Scientists Working With Senior Leadership And The C-Suite
Working with Senior Leadership requires a different communications style and approach. In this post, I teach you the basics that have made me an effective partner for Senior Leaders and the C-Suite.
May 5th, 2021
What To Do If You Are Struggling To Land A Job Interview
In this post, I talk about what to do when all the job search advice stops working. When you are not getting responses to your applications or when all you are getting is "No." I give you a progression to steps to take that will get your job search back on track.
May 5th, 2021
How to format a LinkedIn Share
There is a formula many influencers use to get their shares noticed. In this post, I teach you how to get people to stop scrolling and start engaging with your content.
May 5th, 2021
Framing a Business Problem as a Data Science Problem
Is the business problem a data science problem? Reframing the business problem answers this question and allows you to assess the feasibility of your independent project. This is a key step to move past toy projects and build one that gets you hired.
January 21st, 2021
Monetizing Your Data Science Content: Creating a Unique Position in the Space
What makes some people stand out to gain thousands of followers? There is something special about successful content creators. Capture that so you can start making money from your content.
January 20th, 2021
How to Earn Money from Your Free Data Science and Machine Learning Content
You are building useful content and giving it to the community for free. You deserve to get paid for your efforts. It is difficult so I am launching a series to teach you what has worked for me and other content creators.
January 19th, 2021
Data Science Independent Project 1: Building a Machine Learning Business Case
Building a business case for a machine learning project sets candidates apart from the crowd. This project proves your business acumen and ability to build solutions based on a business problem.
January 12th, 2021
18 Independent Projects That Get Aspiring Data Scientists Hired
An independent portfolio of projects helps aspiring Data Scientists break into the field. I outline 18 project categories that will showcase your ability to contribute from day 1.
January 7th, 2021
How to Write A Data Science Resume
The best data science resumes have a lot in common. Here is a detailed guide to building an effective resume.
December 22nd, 2020
Machine Learning Basics. What to Learn, Before You Learn About Data Science.
Here are some specific sources to get started learning the field. I will keep these updates going forward.
December 21st, 2020
The Essentials of Data Science Leadership – What Makes a Good Leader?
Data Science Leadership is rarely covered and needs more attention. A capable leader is the difference between teams who produce value and those that cannot. Here are the traits of a great leader and how they build a better team.
October 28th, 2020
Introduction to Adversarial Machine Learning in Practice
It is difficult to find an entry point into Adversarial Machine Learning. This tutorial takes you from AML’s foundations to the current day.
October 23rd, 2020
Introduction to Unit Testing for Machine Learning
Unit testing for machine learning has different objectives than software developers are used to. Unit tests add stability to the data pipeline and extra granularity to model validation.
October 23rd, 2020
How to Answer Questions About GPUs, Optimization, and Scaling in a Data Science Interview
Optimization and scaling are core competencies of Applied Machine Learning. If you can cover these topics well, you will stand out from the crowd.
October 18th, 2020
How to Answer Questions about Statistical Significance and Model Selection in a Data Science Interview
Model selection questions require advanced answers that focus on your process for Applied Machine Learning. A theoretical answer will not get you hired.
October 13th, 2020
How to Answer a Data Science Interview Question About Sampling
Answering an interview question is different from answer a question in class or most other settings. The point of your answer is to get you hired. A textbook answer will not get you hired. Getting hired requires you to stand out.
October 9th, 2020
How to Answer a Statistics Questions in a Data Science Interview
Your answer to an interview question aims at getting you hired. Everyone will tell you what to memorize. Everyone knows memorization does not get you hired. You need to know how to answer a statistics question.
October 8th, 2020
How to Break into Data Science – Analyzing Career Paths, Qualifications, and Success Factors
What career path is most likely to help you break into the field? I analyzed over 24,000 active data scientists’ way in.
February 28th, 2020
What to Do When You are Laid Off
Layoffs are happening due to COVID. Even back in December and January, the first signs of workforce reductions were here. There are some simple steps that will help you land on your feet.
January 21st, 2020
What Soft Skills Does A Data Scientist Need to Succeed?
Soft skills are just as important as technical capabilities. At the entry level, the basics are enough. However, taking the next steps in your career require soft skills.
September 19th, 2018
How I Figured Out What I Wanted to Do in Data Science and You Can Too
I did not have a straight-line path in the data science field. Here is how I got started and how I decided what focus my career on.
July 23rd, 2018
What You Need to Learn, Before You Learn Simple Linear Regression for Data Science
Data Science is a big field and diving straight into regression is not the right way to go. There are areas to study first and here is a better starting point into the field.
April 3rd, 2018
Communications for Data Scientists
Soft skills are overlooked in data science, but they are just as critical for a successful data scientist.
December 3rd, 2017
How to Get Past the HR Filter For Data Scientists
The HR filter is the first layer for an aspiring data scientist to break through. Here is how to start getting more call backs and interviews.
October 27th, 2017
How To Become A Data Scientist, No Matter Where Your Career Is At Now
Do not let what you are doing now, prevent you from breaking into data science. There is a clear path from almost any other job. This is about three years old, but things have not changed very much.
April 11th, 2017
How to Ace the Data Science Interview
Here is a preparation guide that will help you spend the least time getting ready for a data science interview.
March 26th, 2017
Is Your Career About to Be Automated?
Machine Learning, as a field, has a responsibility to talk about what fields we are working to automate. As we move towards more accountability and impact analysis, this becomes an important area of focus.
January 1st, 2015