four new stats courses

Our new curriculum takes a modern approach to teaching statistics using simulation and randomization rather than a more traditional, theoretical approach. In the first four courses, discover the language of data in Introduction to Data, Explore your data in Exploratory Data Analysis, uncover relationships in Correlation and Regression, and draw conclusions using the Foundations of Inference. [DataCamp] New Statistics Curriculum! [Four brand-new statistics courses!] Created in collaboration with the OpenIntro team, our new curriculum takes a modern approach to teaching statistics using simulations and randomization rather than the traditional, theoretical approach. Introduction to Data Taught by Mine Cetinkaya-Rundel, Professor at Duke University Statistics is the study of how best to collect, analyze, and draw conclusions from data. In this course, you'll focus on the process of investigating and identifying questions or problems. [Start Learning ›] Exploratory Data Analysis Taught by Andrew Bray, Professor at Reed College Explore techniques to uncover the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? Learn to answer these questions and more while generating graphics that are both insightful and beautiful. [Start Learning ›] Correlation and Regression Taught by Ben Baumer, Professor at Smith College Data analysis is about understanding relationships among variables. Exploring data with multiple variables requires new, more complex tools, but enables a richer set of comparisons. In this course, you will learn how to describe relationships in your data. [Start Learning ›] Foundations of Inference Taught by Jo Hardin, Professor at the Pomona College Inference is the process of drawing conclusions about a larger population from a sample of data. In this course we introduce the idea of a p-values, confidence intervals, and more. [Start Learning ›] DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02141 [Unsubscribe]