Back to Intro to Analytic Thinking, Data Science, and Data Mining
Learner Reviews & Feedback for Intro to Analytic Thinking, Data Science, and Data Mining by University of California, Irvine
149 ratings
About the Course
Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit.
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26 - 30 of 30 Reviews for Intro to Analytic Thinking, Data Science, and Data Mining
By omar i
•Dec 21, 2023
The quiz for the 1st and 2nd module had a few questions that need information that wasn't included in the previews readings.
By Renee C
•Jun 9, 2024
I appreciated that most of the content was reading-based, rather than video-based. However, many of the links for the readings/resources were absent or broken. Additionally, the quiz for the first two modules covered topics not discussed at all in those two modules (decision trees and regression) or anywhere in the course, unless the missing content was in the broken links that I could not access.
By Rebekah M
•Mar 27, 2025
1st Quiz didn't reflect the materials covered
By Tariq J
•Jun 24, 2024
Information on the decision tree is not included - However is part of the quiz.