Cracking the Data Science Interview

Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more

Key Features

• Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning
• Gain the confidence to explain complex statistical, machine learning, and deep learning theory
• Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Explore data science trends, job demands, and potential career paths
• Secure interviews with industry-standard resume and portfolio tips
• Practice data manipulation with Python and SQL
• Learn about supervised and unsupervised machine learning models
• Master deep learning components such as backpropagation and activation functions
• Enhance your productivity by implementing code versioning through Git
• Streamline workflows using shell scripting for increased efficiency

Who this book is for

Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.