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Learner Reviews & Feedback for Intro to Analytic Thinking, Data Science, and Data Mining by University of California, Irvine

4.2
stars
137 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....

Top reviews

RV

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I learnt about CRISP DM process, Data Science tools, Decision Trees in this course.

RS

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I consider this course a must for one's journey into Data Science. The videos are short and to the point to serve the purpose of the course.

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26 - 28 of 28 Reviews for Intro to Analytic Thinking, Data Science, and Data Mining

By omar i

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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

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Jun 8, 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 Tariq J

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Jun 24, 2024

Information on the decision tree is not included - However is part of the quiz.