Hi,
I'm an aspiring data scientist currently in Sapporo, Japan. I'm endlessly curious about uncovering the patterns that make the world work. I'm passionate about improving the impact of machine learning on all aspects of our knowledge and lives. I'm also fascinated by new and interesting ways to visualize data at all scales.
Udacity - Data Analyst Nanodegree
Intro to Data Science
Getting started.
Project: Predicting NYC Subway Ridership
Course Exercises: Python Solutions
Intro to Machine Learning
Giving your data a voice.
Data Visualization and D3.js
Telling your unique story.
Project: Visualizing Nobel Laureate Patterns over Time
Project: Data Visualization Design Process
Data Wrangling with MongoDB
Getting your data into shape.
Project: OpenStreetMap Report & Queries
Project: OSM Data Cleaning Code
Python Solutions to Course Exercises
Data Analysis with R
Finding to your data's story.
Project: MOOC Student Exploration
Course Exercises: R Solutions
Professional presence
Putting it All Together.
Coursera - Data Science Specialization
Practical Machine Learning
Building prediction functions for practical applications.
Exploratory Data Analysis
Learning essential data summarization techniques.
Developing Data Products
Creating data products with Shiny, R packages, and interactive graphics..
Reproducible Research
Building reproducible data analyses.
R Programming
Learning to use R for effective data analysis.
Getting and Cleaning Data
Gathering, cleaning, and managing data.
Regression Models
Foundations in using linear models.
Statistical Inference
Learning to draw conclusions about populations from data.
The Data Scientist's Toolbox
Intro to tools including version control, markdown, git, GitHub, R, and RStudio.