UC Irvine - Intro to Analytic Thinking, Data Science, and Data Mining
- Offered byCoursera
- Public/Government Institute
Intro to Analytic Thinking, Data Science, and Data Mining at Coursera Overview
Intro to Analytic Thinking, Data Science, and Data Mining
at Coursera
Duration | 7 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Intro to Analytic Thinking, Data Science, and Data Mining
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Intro to Analytic Thinking, Data Science, and Data Mining at Coursera Highlights
Intro to Analytic Thinking, Data Science, and Data Mining
at Coursera
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Intro to Analytic Thinking, Data Science, and Data Mining at Coursera Course details
Intro to Analytic Thinking, Data Science, and Data Mining
at Coursera
Skills you will learn
More about this 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.
Intro to Analytic Thinking, Data Science, and Data Mining at Coursera Curriculum
Intro to Analytic Thinking, Data Science, and Data Mining
at Coursera
Data Science: The Field and Profession
Data Science: The Field and Profession
Supplemental Resources
Data Science in Business
Ethical Considerations in Data Science
Data Science in Business
Supplemental Resources
Modules 1 and 2
Data Mining and an Overview of Data Analytics
Data Mining and an Overview of Data Analytics
Supplemental Resources
Solving Problems with Data Science
Data Science and Employee Retention
Solving Problems with Data Science
Supplemental Resources
Modules 3 and 4
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