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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
Authors (2):
Leondra R. Gonzalez Leondra R. Gonzalez
Profile icon Leondra R. Gonzalez
Aaren Stubberfield Aaren Stubberfield
Profile icon 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 Other Books You May Enjoy

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Published in: Feb 2024 Publisher: Packt ISBN-13: 9781805120506
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