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

Intro to Analytic Thinking, Data Science, and Data Mining

This course is part of Data Science Fundamentals Specialization

Taught in English

Some content may not be translated

Julie Pai

Instructor: Julie Pai

8,666 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.2

(128 reviews)

Intermediate level
Some related experience required
7 hours (approximately)
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 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(128 reviews)

Intermediate level
Some related experience required
7 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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
  • Earn a shareable career certificate
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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 quiz

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 quiz1 discussion prompt

Instructor

Instructor ratings
3.8 (37 ratings)
Julie Pai
University of California, Irvine
8 Courses19,996 learners

Offered by

Recommended if you're interested in Data Analysis

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4.2

128 reviews

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Reviewed on May 20, 2021

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Reviewed on Sep 22, 2022

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