Blog Archives

New Course! Supervised Learning in R: Classification

September 27, 2017
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New Course! Supervised Learning in R: Classification

Hi there! We proud to launch our latest R & machine learning course, Supervised Learning in R: Classification! By Brett Lantz. This beginner-level introduction to machine learning covers four of the most common classification algorithms. You will ...

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New Statistics Course: Multiple and Logistic Regression!

September 6, 2017
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New Statistics Course: Multiple and Logistic Regression!

Hi there! We just launched a new course: Multiple and Logistic Regression by Ben Baumer! In this course, you'll take your skills with simple linear regression to the next level. By learning multiple and logistic regression techniques you will gain the...

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New R Course: Sentiment Analysis in R – The Tidy Way

August 24, 2017
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New R Course: Sentiment Analysis in R – The Tidy Way

Hello, R users! This week we're continuing to bridge the gap between computers and human language with the launch Sentiment Analysis in R: The Tidy Way by Julia Silge! Text datasets are diverse and ubiquitous, and sentiment analysis provides an approa...

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New R Course: Spatial Statistics in R

August 10, 2017
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New R Course: Spatial Statistics in R

Hey R users! Here's another course launched this week: Spatial Statistics in R by Barry Rowlingson. Everything happens somewhere, and increasingly the place where all these things happen is being recorded in a database. There is some truth behind the ...

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New Course – Supervised Learning in R: Regression

August 10, 2017
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New Course – Supervised Learning in R: Regression

Hello R users, new course hot off the press today by Nina Zumel - Supervised Learning in R: Regression! From a machine learning perspective, regression is the task of predicting numerical outcomes from various inputs. In this course, you'll learn abo...

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New R Course: Writing Efficient R Code

July 19, 2017
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New R Course: Writing Efficient R Code

Hello R users, we've got a brand new course today: Writing Efficient R Code by Colin Gillespie. The beauty of R is that it is built for performing data analysis. The downside is that sometimes R can be slow, thereby obstructing our analysis. For thi...

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useR!2017 In Retrospect

July 11, 2017
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useR!2017 In Retrospect

This week, the useR!2017 conference took place in Brussels. useR! is the annual international R User conference and is the main meeting of the R user and developer community. More than 1,000 people from all over the world came to Brussels to discover...

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New Course: Introduction to Spark in R using sparklyr

June 28, 2017
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New Course: Introduction to Spark in R using sparklyr

Hello R users! We have a big announcement this week as well, DataCamp just released our first Spark in R course: Introduction to Spark in R using sparklyr! This course is taught by Richie Cotton. R is mostly optimized to help you write data analysis ...

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Introducing Our Instructor Pages!

June 15, 2017
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Introducing Our Instructor Pages!

At DataCamp, we are proud to have the best instructors in the data science community teaching courses on our site. Today, close to 50 instructors have one or more DataCamp courses live on the platform, and many more have a course in development (so sta...

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New course: Data Visualization in R with lattice

June 14, 2017
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New course: Data Visualization in R with lattice

Hello, R users! Today we're launching Data Visualization in R with lattice by Deepayan Sarkar, the creator of the lattice package. Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, bu...

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