Mastering Data Science: Unraveling Patterns and Predictive Analytics
Unraveling Patterns Predictive Analytics: Mastering Data Science is presented as an accessible introduction to data analysis, statistics, machine learning, and big data. Its stated coverage also includes hands-on exercises, real-world examples, and responsible AI topics, making it a broad foundational reference rather than a narrowly focused manual.
At a glance
- Covers data collection, cleaning, analysis, and interpretation for decision-making.
- Topics include statistics, machine learning, big data technologies, and predictive analytics.
- Description claims real-world examples, case studies, and hands-on exercises.
- Includes discussion of data privacy and responsible AI use.
Reference price: $240.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Broad introductory scope connects data preparation and analysis with machine learning and big data.
- Examples, case studies, and exercises are described as practical learning aids.
- The stated audience includes students, early learners, and professionals across several fields.
Technical specifications
9 specifications| Publisher | Apple Academic Press |
|---|---|
| Publication date | August 10, 2026 |
| Edition | 1st |
| Language | English |
| Print length | 518 pages |
| ISBN-10 | 1779640501 |
| ISBN-13 | 978-1779640505 |
| Weight listed | 2.54 pounds |
|---|---|
| Dimensions | 7 x 1.19 x 10 inches |
What to know before buying
- The listing gives a publication date of August 10, 2026. Confirm availability and edition details if you need the book before that date.
Who is it for?
A good fit for
- Students and early learners seeking a broad introduction to data science.
- Professionals in business, healthcare, finance, or marketing who want an overview of data analysis and predictive methods.
- Readers interested in introductory coverage of responsible AI and data privacy.
Less suited to
- Readers seeking a specialized, technically narrow reference or a verified programming-language-specific manual.
Frequently asked questions
What topics does Mastering Data Science cover?
The listing describes data analysis, statistics, machine learning, big data technologies, predictive analytics, data privacy, and responsible AI.
Does the book include practical material?
The description says it includes real-world examples, case studies, and hands-on exercises. The supplied details do not specify the format or number of exercises.
Who is this book intended for?
The listing names students, early learners, and professionals across fields including business, healthcare, finance, and marketing.
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