Course Outline

segmentGetting Started (Don't Skip This Part)

segmentStatistics and Data Science: A Modeling Approach

segmentPART I: EXPLORING VARIATION

segmentChapter 1  Welcome to Statistics: A Modeling Approach

segmentChapter 2  Understanding Data

segmentChapter 3  Examining Distributions

segmentChapter 4  Explaining Variation

segmentPART II: MODELING VARIATION

segmentChapter 5  A Simple Model

segmentChapter 6  Quantifying Error

segmentChapter 7  Adding an Explanatory Variable to the Model

segmentChapter 8  Models with a Quantitative Explanatory Variable

segmentPART III: EVALUATING MODELS

segmentChapter 9  The Logic of Inference

segmentChapter 10  Model Comparison with F

segmentChapter 11  Parameter Estimation and Confidence Intervals

segmentChapter 12  What You Have Learned

segmentFinishing Up (Don't Skip This Part!)

segmentResources

R in the Real World
list Statistics and Data Science: A Modeling Approach
Using R In the Real World
R is widely used in the world of statistics and data science. In this book we use code windows as a way to learn R. But in the real world, people use more powerful tools such as R Studio and Jupyter Notebooks for doing data analysis.
Although you can install these tools on your computer, it is convenient these days to run such programs in the cloud. As a next step for students using CourseKata Statistics & Data Science: A Modeling Approach, we recommend getting yourself a free account at DeepNote.com.
DeepNote is a new and fullyfeatured environment for running Jupyter notebooks. If you’ve been using Jupyter in your class, this will be an easy transition. In fact, you can download notebooks from your CourseKata Jupyter account (as files ending in .ipynb), and then upload them directly into DeepNote. They should run just fine!
The easiest way to get set up is to click the link below. This link will take you to a Jupyter notebook on DeepNote. Once there, you will see instructions on how to get started, written especially for students coming from CourseKata. Go ahead and give it a try by clicking this link:
https://deepnote.com/project/fb393c8935a14a2f87d2644136c467ea