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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

Understanding data visualization

As data scientists, we sometimes feel like we are explorers navigating the wild frontiers of massive datasets, hunting for insightful patterns and significant relationships. Yet, the real value of our journey lies in the capacity to translate these discoveries into stories that influence decisions, inspire action, and propel innovation. This is where the art of data visualization and storytelling comes into play.

Data visualization is a powerful tool beyond simply showcasing statistics or trends – it breathes life into data, transforming numbers and variables into visual narratives that capture attention, invoke emotion, and provoke thought. It is a translation process, converting the abstract language of data into an intuitive, visual dialect that people can understand and engage with. More than mere graphics, well-crafted data visualizations can tell compelling stories.

The power of visualization lies in its appropriateness to the data...

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