Greg Thatcher

Intro to Python for Data Science

Master the basics of data analysis in Python. Expand your skill set by learning scientific computing with numpy.

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

Intermediate Python for Data Science

Level up your data science skills by creating visualizations using matplotlib and manipulating data frames with Pandas.

Intermediate R

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Deep Learning in Python

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

Data Visualization with ggplot2 (Part 1)

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Importing Data in Python (Part 1)

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Manipulation in R with dplyr

Master techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it for analysis.

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

Importing Data in Python (Part 2)

Improve your Python data importing skills and learn to work with web and API data.

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification and clustering.

Writing Functions in R

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

Data Analysis in R, the data.table Way

Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.

Importing & Cleaning Data in R: Case Studies

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

Intermediate R - Practice

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

Introduction to Time Series Analysis

Learn the core techniques necessary to extract meaningful insights from time series data.

Exploratory Data Analysis in R: Case Study

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Manipulating Time Series Data in R with xts & zoo

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

Machine Learning Toolbox

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Statistical Modeling in R (Part 1)

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

Importing Data Into R

Learn how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll h...

Exploring Pitch Data with R

Use a rich baseball dataset from the MLB's Statcast system to practice your data exploration skills.

Intro to Statistics with R: Introduction

A friendly introduction to fundamental concepts in statistics in R.

Kaggle R Tutorial on Machine Learning

Always wanted to compete in a Kaggle machine learning competition but not sure you have the right skillset? This inte...