DataCamp

Error and Uncertainty in Spreadsheets

Social Sciences

Short Description

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Long Description

Every day, we rely on predictions to make informed decisions. Whether it's checking the weather app before choosing our outfit or peeking at the traffic conditions before starting our commute, predictions play a crucial role in our daily lives. However, if you find yourself questioning the accuracy of these predictions, wondering how to gain insight into the future, or why the weatherman often seems to be wrong, our Error and Uncertainty course is designed for you. In this course, you will have the opportunity to make predictions yourself, honing your ability to distinguish real differences from random noise. Additionally, we will delve into the psychological crutches that often hinder our rational decision-making process. By exploring patterns in Seattle crime data, predicting students' final grades, preventing Nashville traffic accidents, and determining whether a bakery's menu needs to change, you will gain valuable insights into the world of error and uncertainty. We invite you to join us on this educational journey. We are confident that you will find great enjoyment in learning about error and uncertainty, and the skills you acquire will prove invaluable in your personal and professional life.

Course Details

Duration
4 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.