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Item #:
57706797
Cracking the Data Science Interview: 101+ Data Science Questions & Solutions
Item #:
57706797
AED 73
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What Stands Out
Comprehensive Coverage
Offers over 101 data science questions, ensuring thorough preparation across various topics, making it a go-to resource for aspiring candidates.
Expert Solutions
Includes well-structured solutions that not only answer questions but also explain the reasoning behind them, enhancing understanding of key concepts.
Interview Readiness
Designed specifically for interview preparation, this book helps candidates boost confidence and performance, standing out in a competitive job market.
Product Details
| 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?
-
Job Seekers
Perfect for those preparing for data science job interviews and looking for relevant questions and solutions.
-
New Graduates
Beneficial for fresh graduates aiming to gain confidence and improve their interview skills in data science.
-
Career Changers
Great for individuals transitioning into data science from other fields who need structure and guidance in interview preparation.
-
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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