Practical Data Mining with AI for Social Scientists
Practical Data Mining with AI for Social Scientists is a Springer textbook that pairs data science concepts with Python exercises, with particular attention to text from surveys and social media. Its stated audience is upper-level undergraduate and graduate students in non-technical fields, including readers without prior programming experience.
At a glance
- Combines conceptual coverage of data mining with practical Python programming exercises.
- Emphasizes text analysis, including text from surveys and social media.
- Describes an AI-assisted Python programming tool for readers without prior coding experience.
Reference price: $79.99
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- The learn-by-doing approach connects data science concepts to hands-on analysis exercises.
- Its stated focus on social-science text data is relevant to readers working with surveys or social media.
Technical specifications
8 specifications| Publisher | Springer |
|---|---|
| Publication date | January 10, 2026 |
| Language | English |
| Print length | 534 pages |
| ISBN-10 | 3031896882 |
| ISBN-13 | 978-3031896880 |
| Weight listed | 1.95 pounds |
|---|---|
| Dimensions | 6.29 x 0.95 x 9.22 inches |
Who is it for?
A good fit for
- Upper-level undergraduate and graduate students in non-technical fields seeking an introduction to data science.
- Social scientists interested in practical text analysis using Python.
Frequently asked questions
Does the book assume prior programming experience?
The listing says it is designed to support readers without prior programming experience and introduces an AI-assisted Python programming tool.
What kinds of data does it focus on?
It gives particular attention to textual data, especially data from surveys and social media.
Is this a practical or theoretical book?
The listing describes both conceptual instruction and practical learning through extensive Python programming exercises.
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