This fourth and final course in the “Good with Words: Writing and Editing” series will help you master perhaps the most important step in the writing process: revising. You’ll learn about the difference between editing and proofreading. You’ll practice “un-numbing the numbers” so that data and statistics you use are clear and compelling. And you’ll be introduced to a framework for giving and receiving feedback that helpfully systematizes what should be cut and what should be kept from each draft.
As with the other three courses in this series, you will also get access to a wide range of books and other resources you can use even after you finish the course. These include: (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email.
This week, we will focus on becoming better readers of our own writing.
This week, we will focus on eliminating uselessly accurate information.
This week, we will focus on how to better communicate statistics.
This week, we will focus on improving the reading inputs that affect our writing output.
Some points apply to every course of this kind; see how we rank.
University of Michigan is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
This playlist contains video recordings of Stanford's graduate-level CS329A course. It covers the latest techniques and applications of AI agents that can continuously improve themselves through interaction with themselves and the environment. The lecture recordings start with self-improvement tech…
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
The field of Computer Science is headed for a major upheaval with the rise of large AI models, such as ChatGPT, that are capable of performing general-purpose reasoning and problem solving. We are headed for a future in which it will no longer be necessary to write computer programs. Rather, I beli…
Harvard University · edX
Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?
Our economic institutions, organizations, and skills have not kept up with rapid advances in AI. In this growing gap lie many of society’s greatest challenges and opportunities. This course will explore how AI can and will transform our economy and society in the coming years. Each week, we will le…
