University of California, Irvine
Intro to Analytic Thinking, Data Science, and Data Mining

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University of California, Irvine

Intro to Analytic Thinking, Data Science, and Data Mining

Julie Pai

Instructor: Julie Pai

9,546 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.2

(139 reviews)

Intermediate level
Some related experience required
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

(139 reviews)

Intermediate level
Some related experience required
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • The knowledge and skills needed to work in the data science profession

  • How data science is used to solve business problems

  • The benefits of using the cross-industry standard process for data mining (CRISP-DM)

Details to know

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Assessments

2 assignments

Taught in English

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This course is part of the Data Science Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

Welcome to Module 1, Data Science: The Field and Profession. In this module, we will review data science as a field and explore the concepts of small and big data. We will also survey the skills of successful data scientists and discuss the types of business problems data scientists might be asked to solve in the near future.

What's included

2 readings1 discussion prompt

Welcome to Module 2, Data Science in Business. In this module, we will take a closer look at the applications of data science in a business environment and discuss ethical considerations to keep in mind when working with data.

What's included

1 video2 readings1 assignment

Welcome to Module 3, Data Mining and an Overview of Data Analytics. In this module we will begin with an explanation of CRISP-DM, a cross-industry standard process for data mining. We will also provide an introduction to descriptive, predictive and prescriptive analytics.

What's included

2 readings1 discussion prompt

Welcome to Module 4, Solving Problems with Data Science. In this last module of the course we will explore some real-world applications of data science solutions and take a closer look at the types of tools and programs you might expect to see in a data science toolkit.

What's included

1 video2 readings1 assignment1 discussion prompt

Instructor

Instructor ratings
3.9 (41 ratings)
Julie Pai
University of California, Irvine
8 Courses23,272 learners

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Recommended if you're interested in Data Analysis

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4.2

139 reviews

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RS
5

Reviewed on Jan 2, 2021

CM
5

Reviewed on May 20, 2021

RV
4

Reviewed on Sep 22, 2022

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