Wolf Riepl

139550 XP Earned 33 Courses Completed 2099 Exercises Aced

Wolf's Topics

Programming

20650/57500 XP
Importing & Cleaning Data

18200/35950 XP
Data Manipulation

12750/42450 XP
Data Visualization

26200/51200 XP
Probability & Statistics

18800/57500 XP
Machine Learning

12950/32300 XP
Applied Finance

0/39650 XP
Reporting

2550/2550 XP
Case Studies

22650/38650 XP
Other

4800/16800 XP

Wolf Riepl's Completed Tracks

A Data Analyst collects, processes, and creates visualizations in order to gain insights from complex data sets.

Learn about fundamental data types, logic, and how to create your own functions using the R language.

Play Trailer

Learn how to parse data from flat files, statistical software, databases, websites, and more.

Master advanced concepts in data manipulation using powerful tools like dplyr and data.table.

Wolf Riepl's Completed Courses

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

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

Importing Data in R (Part 1)

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

FILIP SCHOUWENAARS

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

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

RONALD PEARSON

PhD in Electrical Engineering and Computer Science from M.I.T.

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

Importing Data in R (Part 2)

Parse data in any format. Whether it's flat files, statistical software, databases, or date right from the web.

FILIP SCHOUWENAARS

Data Science Instructor at DataCamp

Correlation and Regression

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

BEN BAUMER

Assistant Professor at Smith College

Introduction to Data

Learn the language of data, study types, sampling strategies, and experimental design.

MINE CETINKAYA-RUNDEL

Associate Professor at Duke University

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

Joining Data in R with dplyr

This course will show you how to combine data sets with dplyr's two table verbs.

GARRETT GROLEMUND

Data Scientist at RStudio

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

Exploratory Data Analysis

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

ANDREW BRAY

Assistant Professor of Statistics at Reed College

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown.

GARRETT GROLEMUND

Data Scientist at RStudio

Data Visualization with ggplot2 (Part 2)

Take your data visualization skills to the next level with coordinates, facets, themes, and best practices in ggplot2.

RICK SCAVETTA

Data Scientist and cofounder of Science Craft

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

Data Visualization with ggplot2 (Part 3)

This course covers some advanced topics including strategies for handling large data sets and specialty plots.

RICK SCAVETTA

Data Scientist and cofounder of Science Craft

Data Visualization in R with ggvis

Learn to create interactive graphs to display distributions, relationships, model fits, and more using ggvis.

GARRETT GROLEMUND

Data Scientist at RStudio

R for SAS, SPSS and STATA Users

Learn to translate your knowledge of SAS, SPSS, or Stata into R using the same statistics techniques you're familiar with.

BOB MUENCHEN

Author of R for SAS & SPSS Users & R for Stata Users

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

Data Analysis and Statistical Inference

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rund...