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    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

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    4.2
    stars
    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.
    ...

    Top reviews

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    26 - 30 of 30 Reviews for Intro to Analytic Thinking, Data Science, and Data Mining

    Filled StarFilled StarFilled StarStarStar

    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.

    Filled StarFilled StarStarStarStar

    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.

    Filled StarFilled StarStarStarStar

    By Rebekah M

    •

    Mar 27, 2025

    1st Quiz didn't reflect the materials covered

    Filled StarStarStarStarStar

    By Tariq J

    •

    Jun 24, 2024

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

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