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Cracking the Data Science Interview

You're reading from Cracking the Data Science Interview

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781805120506

Pages 404 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Leondra R. Gonzalez

Aaren Stubberfield

View More author details

Table of Contents (21) Chapters

Preface

Part 1: Breaking into the Data Science Field

Chapter 1: Exploring Today’s Modern Data Science Landscape

Chapter 2: Finding a Job in Data Science

Part 2: Manipulating and Managing Data

Chapter 3: Programming with Python

Chapter 4: Visualizing Data and Data Storytelling

Chapter 5: Querying Databases with SQL

Chapter 6: Scripting with Shell and Bash Commands in Linux

Chapter 7: Using Git for Version Control

Part 3: Exploring Artificial Intelligence

Chapter 8: Mining Data with Probability and Statistics

Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling

Chapter 10: Mastering Machine Learning Concepts

Chapter 11: Building Networks with Deep Learning

Chapter 12: Implementing Machine Learning Solutions with MLOps

Part 4: Getting the Job

Chapter 13: Mastering the Interview Rounds

Chapter 14: Negotiating Compensation

Index

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Authors (2)

Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.

See other products by Leondra R. Gonzalez

Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.

See other products by Aaren Stubberfield

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