Announcing Intro to SQL!

We've launched our first SQL course! Learn how to work with relational databases. We're also excited to announce Visualizing Time Series Data in R! Get your time series data to tell a story. [DataCamp]( New Courses! [SQL]( Intro to SQL for Data Science Taught by Nick Carchedi, Director of Content at DataCamp Much of the world's raw data lives in organized collections of tables called relational databases. This course teaches you everything you need to know to begin working with databases today! [Play now ›]( Visualizing Time Series Data in R Taught by Arnaud Amsellem, Quantitative Trader and creator of the R Trader blog "A chart is worth a thousand words." This is why visualization is the most powerful way to get a better understanding of your data. Get an overview of R's time series visualization capabilities. [Play now ›]( Intro to SQL: What You'll Learn Chapter 1: Selecting Columns This chapter provides a brief introduction to working with relational databases. Chapter 2: Filtering Rows Learn how to use basic comparison operators, combine multiple criteria, match patterns in text, and much more. Chapter 3: Aggregate Functions Learn how to use aggregate functions to summarize your data and gain useful insights. Chapter 4: Sorting, Grouping, and Joins This chapter provides a brief introduction to sorting, grouping, and joining your results. [Play now ›]( Visualizing Time Series Data in R: What You'll Learn Chapter 1: R Time Series Visualization Tools This chapter will introduce you to basic R time series visualization tools. Chapter 2: Univariate Time Series Learn the visual tools used to diagnose univariate times series. Chapter 3: Multivariate Time Series Learn how to identify patterns in the distribution, central tendency and spread over pairs or groups of data. Chapter 4: Case Study: Visually selecting a stock that improves your existing portfolio Let's put everything you learned so far in pratice! [Play now ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe](