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
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Intro to Analytic Thinking, Data Science, and Data Mining
This course is part of Data Science Fundamentals Specialization
Instructor: Julie Pai
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156 reviews
Intermediate level
Some related experience required
7 hours to complete
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.
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There are 4 modules in this course
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SN
Reviewed on Jul 30, 2025
For Beginner, this is good insight to understand what Data Scientist is , What is his role, Which tools need to be used upon and a road map to become Data Scientist
RS
Reviewed on Jan 2, 2021
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.
TM
Reviewed on May 20, 2021
It is informative and gives me overview about data science and the future
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