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41356506
Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis
88% of respondents would recommend this to a friend
Item #:
41356506
XOF 24296
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Thinking Clearly with Data emphasizes critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives.
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What Stands Out
Data-Driven Insights
Equip readers with essential skills to interpret and analyze quantitative data, fostering informed decision-making in various contexts.
Comprehensive Guidance
A thorough exploration of quantitative reasoning principles, allowing readers to grasp complex concepts with clarity and confidence in real-world applications.
Practical Framework
Offers practical tools and strategies for applying quantitative analysis effectively, making it accessible for students and professionals alike.
Product Details
- Emphasizes critical thinking over statistical techniques in an introduction to data science
- Focuses on teaching how to assess relationships in data and make informative comparisons
- Demonstrates thinking tools application in real-world examples across various subjects
- Illustrates why data can never replace critical thinking
- Ideal for introductory quantitative methods courses in various fields
- Introduces a basic toolkit of data analysis and includes practice questions and data exercises
| Publisher | Princeton University Press |
| Publication date | November 16, 2021 |
| Language | English |
| Print length | 400 pages |
| ISBN-10 | 0691214352 |
| ISBN-13 | 978-0691214351 |
| Item Weight | 1.55 pounds (700 grams) |
| Reading age | 1 year and up |
| Dimensions | 7 x 1 x 9.75 inches (17.8 x 2.5 x 24.8 cm) |
Who Should Buy?
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Students in Academia
Ideal for students looking to enhance their statistical and analytical reasoning skills for research purposes.
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Business Professionals
Beneficial for professionals needing to interpret data to make informed decisions in a corporate environment.
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Data Enthusiasts
Great for individuals with a passion for understanding data trends and methodologies for personal development.
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Casual Readers
Not suitable for those seeking light reading without the intent to engage with quantitative analysis deeply.
Product Description
Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis
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Data Processing Editorial Review
"Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis" is a book that aims to equip readers with the skills needed to understand and analyze data. The book is written in a straightforward manner that is easy to understand, making it accessible to readers with little or no background in quantitative analysis. However, some reviews mention that the formulas and mathematical notations used in the book are poorly formatted, making it difficult to understand what is being communicated. One reviewer went so far as to say that readers would have a hard time figuring out what the formulas mean, and that the book does not even differentiate between the 2 and squared symbol. Despite these criticisms, several reviewers have praised the book for being written in a very understandable way. One reviewer noted that the book gave them the knowledge they needed to identify noteworthy information in difficult situations. Overall, "Thinking Clearly with Data" appears to be a helpful resource for those looking to improve their quantitative reasoning and analysis skills. While the formatting of the formulas and mathematical notations may be a drawback for some readers, the book's accessible writing style and focus on clear communication of concepts make it a valuable resource.
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Pros
- Written in a straightforward and easy-to-understand manner
- Focuses on clear communication of concepts
- Provides knowledge needed to identify noteworthy information in difficult situations
Cons
- Formulas and mathematical notations poorly formatted and difficult to understand
Product Price History
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XOF 24296
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Features & Benefits
- Introduction to data science/sciences shouldn’t be complex with obscure formulas and terms.
- The book teaches students critical thinking and conceptual understanding.
- It is filled with real-world examples.
- The book applies thinking tools to diverse subjects such as crime, terrorism, sports, music, and space.
- Data can never be a substitute for thinking.
- An ideal textbook for introductory quantitative methods courses.
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