Two new courses!

Add sentiment analysis and manipulating dates and times to your data science toolkit! Sentiment analysis is used by text miners in marketing, politics, customer service and elsewhere. In "Working with Dates & Times" you'll learn to parse and manipulate dates and times. In "Sentiment Analysis in R" you will learn to identify positive and negative language, specific emotional intent, and make compelling visualizations. [DataCamp]( New Courses! [ ]( [Play Now]( [ ]( Sentiment Analysis in R Taught by Ted Kwartler, Senior Director, Data Scientist at Liberty Mutual Sentiment analysis is used by text miners in marketing, politics, customer service and elsewhere. In this course you will learn to identify positive and negative language, specific emotional intent, and make compelling visualizations. [Start Learning]( [Working with Dates and Times in R]( Working with Dates and Times in R Taught by Charlotte Wickham, Assistant Professor at Oregon State University This course teaches you the essentials of parsing, manipulating, and computing with dates and times in R. You'll apply your new skills to explore how often R versions are released, when the weather is good in Auckland (the birthplace of R), and how long monarchs ruled in Britain. [Start Learning]( Sentiment Analysis in R: What You'll Learn Chapter 1: [Fast & dirty: Polarity scoring]( In the first chapter, you will learn how to apply qdap's sentiment function called polarity(). Chapter 2: [Sentiment analysis the tidytext way]( In the second chapter you will explore 3 subjectivity lexicons from tidytext. Chapter 3: [Visualizing sentiment]( Make compelling visuals with your sentiment output. Chapter 4: [Case study: Airbnb reviews]( Is your property a good rental? What do people look for in a good rental? [Play Now]( Working with Dates and Times in R: What You'll Learn Chapter 1: [Dates and Times in R]( Learn about some of the ways R stores dates and times by exploring how often R versions are released. Chapter 2: [Parsing and Manipulating Dates and Times with lubridate]( Dates and times come in a huge assortment of formats, so your first hurdle is often to parse the format you have into an R datetime. Chapter 3: [Arithmetic with Dates and Times]( Getting datetimes into R is just the first step. Now that you know how to parse datetimes, you need to learn how to do calculations with them. Chapter 4: [Problems in practice]( Learn how to handle time zones, deal with times when you don't care about dates, parse dates quickly, and output dates and times. [Play Now]( [DataCamp] [DataCamp]( DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](