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Cracking the Data Science Interview

You're reading from   Cracking the Data Science Interview Unlock insider tips from industry experts to master the data science field

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805120506
Length 404 pages
Edition 1st Edition
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Authors (2):
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Leondra R. Gonzalez Leondra R. Gonzalez
Author Profile Icon Leondra R. Gonzalez
Leondra R. Gonzalez
Aaren Stubberfield Aaren Stubberfield
Author Profile Icon Aaren Stubberfield
Aaren Stubberfield
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Breaking into the Data Science Field FREE CHAPTER
2. Chapter 1: Exploring Today’s Modern Data Science Landscape 3. Chapter 2: Finding a Job in Data Science 4. Part 2: Manipulating and Managing Data
5. Chapter 3: Programming with Python 6. Chapter 4: Visualizing Data and Data Storytelling 7. Chapter 5: Querying Databases with SQL 8. Chapter 6: Scripting with Shell and Bash Commands in Linux 9. Chapter 7: Using Git for Version Control 10. Part 3: Exploring Artificial Intelligence
11. Chapter 8: Mining Data with Probability and Statistics 12. Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling 13. Chapter 10: Mastering Machine Learning Concepts 14. Chapter 11: Building Networks with Deep Learning 15. Chapter 12: Implementing Machine Learning Solutions with MLOps 16. Part 4: Getting the Job
17. Chapter 13: Mastering the Interview Rounds 18. Chapter 14: Negotiating Compensation 19. Index 20. Other Books You May Enjoy

Preface

In today’s dynamic technological landscape, the demand for skilled professionals in artificial intelligence (AI) and data science roles has surged, and the data science job market is increasingly saturated by various levels of data science and AI employees. This book is a comprehensive guide, crafted to equip both aspiring and seasoned individuals with the essential tools and knowledge required to navigate the intricacies of data science interviews. Whether you’re stepping into the AI realm for the first time or aiming to elevate your expertise, this book offers a holistic approach to mastering the fundamental and cutting-edge facets of the field.

The chapters within this book span a wide spectrum of critical subjects, from programming with Python and SQL to statistical analysis, pre-modeling and data cleaning concepts, machine learning (ML), deep learning, Large Language Models (LLMs), and generative AI. We aim to provide a comprehensive review and update on the foundational concepts while also delving into the latest advancements. In an era marked by the disruptive potential of language models and generative AI, it’s imperative to continually hone your skills. This book serves as a compass, guiding you through the intricacies of these transformative technologies, ensuring you’re poised to tackle the challenges and harness the opportunities they present.

Moreover, beyond technical prowess, we delve into the art of interviewing for AI roles, offering guidance on how to ace interviews and negotiate compensation effectively. Additionally, crafting a standout résumé tailored for data science roles is a crucial step, and our guide offers insights into writing compelling résumés that capture attention in a competitive job market. As AI reshapes industries and innovation accelerates, now is the ideal time to embark on or advance in your data science journey. We invite you to dive into this comprehensive resource and embark on your path to mastering the dynamic world of data science and AI.

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