Publications by DataCamp Blog
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 stay tuned for that!). Until now, it was not possible to navigate through your preferred instruc...
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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 code quickly and readably. Apache Spark is designed to analyze huge datasets quickly. The sparkly...
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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 the state of R. For those who didn’t make it, here are some of my personal conference insights...
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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 this reason, it is essential to become familiar with the main techniques for speeding up your analy...
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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 about different regression models, how to train these models in R, how to evaluate the models yo...
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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 oft-repeated statement that 80% of data have a spatial component. So what can we do with this s...
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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 approach to understand the attitudes and opinions expressed in these texts. In this course, you will ...
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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 skills to model and predict both numeric and categorical outcomes using multiple input variabl...
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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 come away with a basic understanding of how each algorithm approaches a learning task, as well as lea...
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