Data Science and Machine Learning Education

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A Path Into Data Science

The biggest question aspiring data scientists have is "How do I set myself up to land my first job?" There is a shortage of experienced data scientists but it is a very competitive market to break into. There are a number of ways to set yourself apart from the pack.

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 Interview Bank: Kruthika Simha, ML Engineer at Apple

In today’s interview, we talk with Kruthika Simha about her journey into ML, life at Apple, and navigating the job market as a student. The interview has been paraphrased for brevity.

November 13th, 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

Learning to Think Like a Data Scientist Part 2

Many data science projects fail in the execution phase, never making it into production. In Part 2, Esther Richler explains how to implement her initial design and build a working product.

October 19th, 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

Learning to Think Like a Data Scientist Part 1

Esther Richler made the transition from academia to data science. She realized her mindset needed to change. She shares her journey into applied data science.

October 2nd, 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