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Cracking the Data Science Interview

Unlock insider tips from industry experts to master the data science field

Leondra R. GonzalezS

Created by Leondra R. Gonzalez, Stubberfield

Get ready to approach data science interviews with confidence by building essential technical and practical skills. You'll cover everything from Python and SQL to statistics, machine learning, and productivity tools. The focus is on helping you stand out in a competitive field and land your next data science role.

Packt | Feb 2024 | 404 min

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LevelIntermediate
CategoriesData Science, Reinforcement Learning and Decision-Making Systems, Bash, Bash

What You Will Learn

You'll start by exploring the current data science landscape and learning how to craft a strong resume and portfolio. As you move forward, you'll practice hands-on coding with Python and SQL, review key statistical concepts, and dive into machine learning and deep learning fundamentals. Practical exercises and real interview scenarios help you apply what you learn.

Key Features

  • Sharpen your Python, SQL, and statistics skills for real-world data challenges
  • Develop clear explanations for machine learning and deep learning concepts
  • Boost productivity with Git, shell scripting, and model deployment basics

Target Audience

Ideal for professionals with some experience in Python, SQL, or statistics who want to break into or advance in data science. If you're looking to refresh your technical skills or prepare for interviews in this fast-paced industry, you'll find actionable strategies and focused practice to help you succeed.

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