Hooked on Data

Recommended Resources for Starting A/B Testing

Starter kits of resources for product teams and data teams get started with A/B testing.

Answers to your Career Questions

My favorite resources for a variety of career dilemmas.

Publishing a Technical Book (Part 4): After the Book is Published

What it’s like after your book is finished and available in the wild.

Publishing a Technical Book (Part 3): The Writing Process

An inside look into how to find the time to write a book and what it’s like to work with a co-author and publisher.

Publishing a Technical Book (Part 2): Finding a Publisher

Demystifying how to find a technical book publisher, what they help with, and if you should think about self-publishing.

Publishing a Technical Book (Part 1): Why Do It?

What are (and aren’t) the benefits of writing a technical book?

What Types Should You Have on Your Pokémon Team? Efficient Simulation with Matrices in R

Finding the best Pokémon type combinations for a maximally effective team.

Exploring Bob Ross paintings

Using the tidyverse and PCA to explore the features of Bob Ross’ paintings.

Introducing the funneljoin package

How our new R package funneljoin makes it easy to analyze sequence of events.

Going Off the Map: Exploring purrr’s Other Functions

A walkthrough of some lesser-known purrr functions.

The Lesser Known Stars of the Tidyverse

Using exploratory data analysis to shine a light on other tidyverse functions and packages you may not know.

Guidelines for A/B Testing

12 Guidelines to help you run more effective, trustworthy A/B tests.

Red Flags in Data Science Interviews

What to look out for when interviewing for a new data science job.

Emily Robinson, Emily Robinson, Jacqueline Nolis

Advice for Applying to Data Science Jobs

Some tips for applying, interviewing, and negotiating for data science jobs.

The Importance of Sponsorship

While many people know about mentorship, many fewer are familiar with sponsorship, even though it can actually be more important.

Building Your Data Science Network: Finding Community

Where to find other people in your field.

Building your Data Science Network: Reaching Out

How to effectively reach out to people in your field directly.

Making R Code Faster: A Case Study

How I sped up my R code and went from it taking 3 minutes to run one iteration to taking less than a second to run 10,000.

Managing Business Challenges in Data Science

A few tips to help you work more effectively with your non-analyst stakeholders.

Giving Your First Data Science Talk

The why and how of giving a good data science talk.

RStudio Conference Recap

Some of my favorite parts about attending my first rstudio::conf.

RStudio Conference: Tips and Tricks

A summary of my top technical takeaways from rstudio::conf(2017).

Topic Modeling the New York Times and Trump

How the New York Times covered Trump leading up to the 2016 election.

Better Plotting in Python with Seaborn

An introduction to Seaborn so you too don’t almost quit your bootcamp over matplotlib.

Creating My First R Package Part 1

My struggles with STATA and how it motivated me to want to create my first R package.

From Social Scientist to Data Scientist

Reflections on starting my transition from social science academia into data science field.