Greg Thatcher

Greg's Topics

• Programming

  32700/57500 XP

  

• Importing & Cleaning Data

  10650/35950 XP

  

• Data Manipulation

  10640/42450 XP

  

• Data Visualization

  5250/51200 XP

  

• Probability & Statistics

  8370/57500 XP

  

• Machine Learning

  15400/32300 XP

  

• Applied Finance

  4000/39650 XP

  

• Reporting

  0/2550 XP

• Case Studies

  16950/38650 XP

  

• Other

  4800/16800 XP

  

Greg Thatcher's Completed Tracks

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Greg Thatcher's Completed Courses

Intro to Python for Data Science

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

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Introduction to R

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

JONATHAN CORNELISSEN

Co-founder and CEO of DataCamp

Intermediate R

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

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Intermediate Python for Data Science

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

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Data Visualization with ggplot2 (Part 1)

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

RICK SCAVETTA

Data Scientist and cofounder of Science Craft

Introduction to Machine Learning

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

VINCENT VANKRUNKELSVEN

Data Science Instructor at DataCamp

Cleaning Data in R

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

NICK CARCHEDI

Director of Content at DataCamp

Intermediate R - Practice

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

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Data Manipulation in R with dplyr

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

GARRETT GROLEMUND

Data Scientist at RStudio

Writing Functions in R

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

HADLEY WICKHAM

Chief Scientist at RStudio, author of ggplot2, dplyr, and tidyr

Machine Learning Toolbox

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

ZACHARY DEANE-MAYER

Data Scientist at Data Robot and co-author of caret

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.

MATT DOWLE

Author of 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.

NICK CARCHEDI

Director of Content at DataCamp

Introduction to Time Series Analysis

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

DAVID S. MATTESON

Assistant Professor at Cornell University

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.

JEFFREY RYAN

Creator of xts and quantmod

Credit Risk Modeling in R

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

LORE DIRICK

Data Scientist at DataCamp

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.

DANIEL KAPLAN

DeWitt Wallace Professor at Macalester College

Exploratory Data Analysis in R: Case Study

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

DAVID ROBINSON

Data Scientist, Stack Overflow

Exploring Pitch Data with R

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

BRIAN M. MILLS

Assistant Professor at the University of Florida

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 handle it all.

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Intro to Statistics with R: Introduction

A friendly introduction to fundamental concepts in statistics in R.

ANDREW CONWAY

Andrew Conway is a Psychology Professor in the Division of Behavioral and Organizational Sciences...

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 interactive tu...