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Cracking the Data Science Interview: 101+ Data Science Questions & Solutions
79% of respondents would recommend this to a friend
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Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner.
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What Stands Out
Product Details
- Comprehensive guide for data science interview preparation
- Includes key data science topics and concepts
- Covers necessary prerequisites like statistics, probability, and computer science
- Features 18 big ideas in data science and case studies from companies like Amazon and Uber
- Authored by Maverick, a Cornell University graduate with experience in data science consulting
- Presents interview questions to help solidify understanding and prepare for interviews
| Publisher | Independently published |
| Publication date | December 17, 2019 |
| Language | English |
| Print length | 119 pages |
| ISBN-10 | 171068013X |
| ISBN-13 | 978-1710680133 |
| Item Weight | 5.6 ounces (158.76 grams) |
| Dimensions | 5.5 x 0.3 x 8.5 inches (14 x 0.8 x 21.6 cm) |
Who Should Buy?
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Job Seekers
Perfect for those preparing for data science job interviews and looking for relevant questions and solutions.
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New Graduates
Beneficial for fresh graduates aiming to gain confidence and improve their interview skills in data science.
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Career Changers
Great for individuals transitioning into data science from other fields who need structure and guidance in interview preparation.
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Experienced Professionals
Less useful for seasoned data scientists since they may already possess the knowledge and experience to excel.
Product Description
Cracking the Data Science Interview: 101+ Data Science Questions & Solutions
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Data Modeling & Design Editorial Review
The book "Cracking the Data Science Interview: 101 Data Science Questions & Solutions" has received positive reviews for its coverage of over 80% of concepts related to data science. However, it is noted that readers may need additional resources to gain a deeper understanding of the subject matter. One negative review mentions difficulty in accessing the book on a Kindle and a lack of response from the author, resulting in a poor user experience.
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Pros
- Covers over 80% of data science concepts
- Useful for beginners starting to learn about data science
Cons
- May require additional resources for a deeper understanding
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Features & Benefits
- Essential book for anyone preparing for a data science interview
- Covers necessary prerequisites in statistics, probability, linear algebra, and computer science
- Includes 18 big ideas in data science
- Provides insights on data wrangling and visualization
- Covers machine learning models and reinforcement learning
- Includes non-machine learning tools and real-world case studies
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