My Portfolio
My favorite projects.
Learn 6-figure analytics skills and get certified as a Professional Data Analyst in 90 days (without signing up for a degree).
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Learn six-figure data skills without leaving your home or signing up for a degree using our Data Analyst Bootcamp curriculum. Unlike many data analytics programs, you won't pay for live instruction that has you thinking, "I paid thousands of dollars for this?"
Instead, you'll learn using:
Online courses that 2,500+ companies and 80% of the Fortune 1000 use to upskill their teams.
A hand-picked selection of my favorite Data Analyst career articles from Google Chief Decision Scientist, Cassie Kozyrkov.
2 open-ended project guides to showcase your new skills for your industry portfolio.
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Take it at the same time as the bootcamp above (bundle available for purchase here), or separately (here) if you already have the skills. The majority of my 1:1 clients used the bundle (25% savings).
My Data Science Master’s
The blog post that started it all.
In 2015, I dropped out of school to teach myself data science using online resources. I wrote about my curriculum and linked to my course reviews in the post below.
Articles I wrote for Coiled
I wrote these blog posts to help Coiled with their launch in 2020.
Courses I created for DataCamp
DataCamp courses combine short expert videos with immediate hands-on-keyboard exercises.
Introduction to Scala
Over the span of six months, I learned Scala and created this introductory course.
Introduction to Tableau
This course was a team effort. I created the fourth and final chapter.
Projects I created for DataCamp
DataCamp projects are where students apply the skills they learned in courses in real-world, end-to-end data analyses in Jupyter Notebooks.
A New Era of Data Analysis in Baseball
A Python project that uses pandas and seaborn.
Introduction to DataCamp Projects
A SQL project that uses ipython-sql, PostgreSQL, pandas, and SQLAlchemy.
Up and Down With the Kardashians
A Python project that uses pandas.
TV, Halftime Shows, and the Big Game
A Python project that uses pandas and matplotlib.
Content I created for Udacity
Udacity’s mission is to provide students with the tech skills needed to advance their careers.
Introduction to Data Wrangling
Data wrangling is the process of gathering, assessing, and cleaning data. In my course, students learn how to use Python to wrangle data programmatically and prepare it for analysis, visualization, and modeling.
Other Udacity courses I helped create are Practical Statistics, SQL for Data Analysis, Intro to Python, Data Visualization, and Exploratory Data Analysis.
Personal projects
Exploratory Data Analysis
Used R and apply exploratory data analysis techniques to explore freeCodeCamp's 2016 New Coder Survey dataset for distributions, outliers, and anomalies.
Free Code Camp Articles
Repurposed the content in my explanatory data analysis for a general audience. Three articles were published by Free Code Camp's Medium publication and received 1k+ recommends.
Hockey Analytics
I like hockey and the Toronto Maple Leafs so I wrote about them with a focus on advanced statistics. Python and Pandas are most often used for data wrangling, exploration, and analysis.
Class Central Articles
Class Central is the leader for online course information and reviews. I wrote commentary pieces and created the very first "Class Central Career Guide" with data science as its subject.
OpenStreetMap Data Case Study
Inspected and cleaned a 1.14 GB OpenStreetMap dataset using Python. Imported clean data into a normalized SQL database and used queries to learn more about my hometown.
Interactive NOTES
Built a Python back end using Google App Engine, Datastore, and Jinja2 templates to host a web page and allow user comments. Post a blank comment for a game-changing UI feature.
Rick or Stick?
A game where you answer the age-old question: Is this a person named Rick or is it a stick? Created using PHP, a MySQL database, and MVC architecture. YouTube video demo
FRESH TOMATOES
A simple movie/TV website with clickable trailers, this project demonstrates knowledge of Object Oriented Programming and the power of abstraction. Written in Python.
Banner photo provided by Chiemsee2016