Online Courses Completed

Practical Machine Learning

• Completed November 2017
• Focuses on the basic components of building and applying prediction functions with an emphasis on practical applications.

Statistical Inference

• Completed March 2016
• Covers the process of drawing conclusions about populations and scientific truths from data.

Regression Models

• Completed February 2016
• Covers regression analysis, least squares and inference using regression models

Reproducible Research

• Completed June 2015
• Focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.

Exploratory Data Analysis

Achieved covers the essential exploratory techniques for summarizing data.

An Introduction to Interactive Programming in Python (Part 2)

Achieved

An Introduction to Interactive Programming in Python (Part 1)

Achieved

Getting and Cleaning Data

Achieved Covers the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats.

R Programming

Program in R and how to use R for effective data analysis.

The Data Scientist’s Toolbox

Introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with.

An Introduction to Interactive Programming in Python

Achieved

Introduction to Computational Thinking and Data Science

Completed Dec. 2014

Introduction to Computer Science and Programming Using Python

Completed April 2014