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Build a Career in Data Science
Item #: 24531340

Build a Career in Data Science

Item #: 24531340

KGS 4019

KGS 4949

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What Stands Out

Comprehensive Guide
This book provides an extensive overview of data science, covering essential skills, tools, and methodologies, making it suitable for beginners and advanced learners alike.
Expert Insights
Includes advice and insights from industry professionals, offering readers a realistic perspective on career paths and opportunities in the data science field.
Practical Techniques
Focuses on hands-on techniques and real-world applications, ensuring readers can effectively apply theoretical knowledge to solve actual data problems.

Product Details

Explore the exciting world of data science with the 1st Edition book. Gain valuable insights and practical knowledge for building a successful career. Shop now on Ubuy Kyrgyzstan.
Publisher Manning Publications
Publication date March 24, 2020
Edition 1st
Language English
Print length 352 pages
ISBN-10 1617296244
ISBN-13 978-1617296246
Item Weight 1.3 pounds (590 grams)
Dimensions 7.38 x 0.88 x 9.25 inches (18.7 x 2.2 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for individuals aiming to start a career in data science with foundational knowledge and practical skills.

  • Career Switchers

    Suitable for professionals from non-technical backgrounds looking to transition into the data science field effectively.

  • Students in STEM

    Great for students studying science, technology, engineering, or math, providing relevant insights into data analysis techniques.

Not Suitable For
  • Advanced Data Analysts

    Not suitable for experienced data analysts seeking advanced techniques or specialized analytics not covered in this edition.

Product Description

Build a Career in Data Science

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Intelligence & Semantics Editorial Review

This book on data science careers provides a realistic and practical approach to entering the field of data science. It offers insight into the different types of data science jobs and discusses the expectations from different types of companies. The additional interviews with experienced data scientists at the end of each chapter provide valuable insight. However, the book does mention that there is a saturation of talent in this area and that competition is fierce. Although this is a great resource for anyone interested in a career in data science, it can be discouraging for some readers.

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Pros

  • Realistic attitude towards data science career
  • Practical advice for entering the field
  • Additional interviews with experienced data scientists provide valuable insight
  • Great resource for individuals interested in a data science career

Cons

  • Can be discouraging for readers due to the level of competition in the field

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