new courses just launched

Discover our newest Python and R courses: pandas Foundations, Exploratory Data Analysis, and Object-Oriented Programming! Learn to use the industry-standard pandas library to import, build, and manipulate DataFrames in Python. Put your data skills to work with a real-world case study. Manage complexity in your code by using object-oriented programming. Start learning today! [DataCamp] New Courses! [pandas Foundations] pandas Foundations Taught by Dhavide Aruliah, Director of Training at Continuum Analytics Learn to use the industry-standard pandas library to import, build, and manipulate DataFrames in Python. In this course, you will learn how to convert unstructured data into a much more usable format. [Play with pandas ›] Exploratory Data Analysis in R: Case Study Taught by David Robinson, Data Scientist at Stack Overflow Once you're familiar with tools for data manipulation and visualization, this course gives you a chance to put them in action using a dataset of historical voting data from the United Nations. [Start Exploring ›] Object-Oriented Programming in R: S3 & R6 Taught by Richie Cotton, Instructor at DataCamp Object-oriented programming (OOP) lets you specify relationships between functions and objects and helps manage complexity in your code. This course provides an introduction to OOP using S3 and R6. [Start Programming ›] pandas Foundations: What You'll Learn Chapter One: Data Ingestion & Inspection Get aquainted with the powertool of pandas: the DataFrame. Chapter Two: Exploratory Data Analysis Explore your data visually and quantitatively in this crucial step of any data science project. Chapter Three: Time Series in pandas Learn to visualize and manipulate time series data using pandas. Chapter Four: Case Study - Sunlight in Austin Apply the skills you've learned to manipulate real-world weather data! [Play now ›] --------------------------------------------------------------- Exploratory Data Analysis in R: What You'll Learn Chapter One: Data Cleaning and Summarizing with dplyr Clean and filter the United Nations voting dataset using the dplyr package. Chapter Two: Data Visualization with ggplot2 Explore UN voting trends using the ggplot2 package. Chapter Three: Tidy Modeling with Broom Understand and compare outputs of various linear models. Chapter Four: Joining and Tidying In the final chapter, learn to combine multiple related datasets and turn untidy data into tidy data. [Play now ›] --------------------------------------------------------------- Object-Oriented Programming in R: What You'll Learn Chapter One: Introduction to Object-Oriented Programming This chapter covers the basics, including when to use OOP and what OOP systems are available in R. Chapter Two: Using S3 S3 is an object-oriented system that lets you define different behavior for functions depending on input. Chapter Three: Using R6 Learn to define R6 classes and create R6 objects. Chapter Four: R6 Inheritance Learn about the relationship between parent and child classes. Chapter Five: Advanced R6 Usage Conclude the course with advanced topics and an interview with Winston Change, the creator of the R6 package! [Play now ›] DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe]