From Data to Decisions: Making Predictions with AI
This course is part of From Data To Decision With AI.
Course Cost
Free course
Intermediate
Skill Level
1 Hour
Self-paced lessons
This course provides an applied introduction to bivariate and multiple regression with a focus on using generative AI as an analytical partner. Students will learn how to effectively structure research questions, execute regression models with AI assistance, and interpret key statistical outputs including coefficients and R-squared values. The curriculum emphasizes practical applications, teaching students to leverage AI tools for streamlining complex analyses and enhancing prediction accuracy. Through hands-on assignments, learners will develop skills in predicting outcomes from data and clearly communicating insights derived from regression models. The course is particularly valuable for professionals seeking to make data-driven decisions in real-world contexts. Those with limited data analysis experience are advised to first complete the prerequisite courses in the specialization for better preparation.
What you'll learn
Learn how to structure effective research questions for regression analysis
Use AI tools to conduct bivariate and multiple regression
Interpret regression coefficients and understand their practical meaning
Evaluate model fit using R-squared and other statistical measures
Create and interpret data visualizations for regression results
Communicate regression findings effectively to non-technical audiences
Apply regression techniques to real-world prediction problems
Skills you'll gain
This course includes:
30 Minutes PreRecorded video
4 assignments, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There is 1 module in this course
This course focuses on applying regression analysis techniques with AI assistance to make accurate predictions from data. Students learn both bivariate and multiple regression approaches, with particular emphasis on using generative AI as a partner to streamline the analytical process. The curriculum covers structuring effective research questions, executing regression models, and interpreting key statistical outputs like coefficients and R-squared values. Through practical applications and guided exercises, learners develop skills in using AI tools to predict outcomes and clearly communicate data-driven insights in real-world contexts. The course is particularly valuable for professionals who need to make evidence-based decisions but may not be statistical experts.
Understanding Bivariate and Multiple Regression
Module 1 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: From Data To Decision With AI
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.



