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About the Book

In a world overflowing with information, The Code Behind the Story: Data Skills with Python for Journalists turns data journalism into dynamic storytelling. If you’re ready to move beyond traditional reporting tools, this comprehensive guide will show you how to collect, analyze, and visualize complex datasets using Python—no prior coding experience required. Uncover deeper angles, reveal untold stories, and captivate audiences with compelling, evidence-based narratives.

⭐ Why This Book Will Be Your Go-To Resource

• For Journalists, by a Journalist: Written specifically with the needs of data journalists in mind, this book speaks the language of the newsroom and the desk researcher alike.
• Hands-On Practice: With practical exercises, case studies, and step-by-step guides, it’s designed to build real, applicable skills, chapter by chapter.
• Accessible Learning Curve: Python is known for its readability, making this book a great choice even if you’re new to coding.
• Future-Proof Your Career: In the Big Data era, the ability to interpret data is essential. This book gives you the tools to analyze, visualize, and present data in ways that inform and captivate your audience.
• Boost Your Reporting Impact: Go beyond traditional reporting to tell deeper, data-backed stories with confidence.

Whether you're new to coding or expanding your skill set, The Code Behind the Story equips you with the knowledge and techniques to become a more dynamic and insightful storyteller. Learn to transform data into compelling narratives and redefine journalism in the digital era.

📖 What You’ll Master

1. Python Fundamentals
2. Simplified lessons that make programming approachable, even if you’ve never written a line of code.
3. Automated Data Collection
4. Techniques for scraping web sources, extracting real-time feeds, and managing large-scale data—no manual copying needed.
5. Data Cleaning & Analysis
6. Methods to transform messy spreadsheets into credible datasets, pinpoint anomalies, and diagnose trends that shape headlines.
7. Data Visualization
8. Leverage libraries like Matplotlib and Plotly to craft clear, striking infographics, charts, and interactive graphics.

👨💻 About the Author

Amr Eleraqi is a pioneering data scientist and educator at Toronto Metropolitan University in Canada. Formerly the editor and executive director of InfoTimes—an internationally acclaimed Arabic data journalism team—he has revolutionized government information systems and led innovations in data-driven reporting. His prestigious roles include Knight Fellow at the International Center for Journalists and regional coordinator for the Facebook Journalism Project, showcasing his unmatched insight into merging coding mastery with journalistic integrity.

Transform Your Reporting Today

From novices to experienced reporters, The Code Behind the Story offers everything you need to elevate your journalism in the digital era. Gain the tools, the confidence, and the vision to deliver data-supported narratives that captivate and inform.

Order Now and uncover the stories only data can tell!

About the Author

Amr Eleraqi

Amr Eleraqi is a renowned data scientist, educator, and curriculum developer with a passion for transforming raw data into actionable insights. Currently teaching at Toronto Metropolitan University in Canada, Amr brings over a decade of expertise in data journalism and analytics. As the former editor and executive director of InfoTimes, the first Arabic data journalism team to gain international recognition, he has pioneered innovations in data-driven storytelling.

Amr has held prestigious roles, including serving as a regional coordinator for the Facebook Journalism Project in the Middle East and as a Knight Fellow with the International Center for Journalists. His groundbreaking work in automating media monitoring and news classification for the Egyptian Cabinet’s Information Center has played a critical role in enabling data-informed governance. A thought leader in his field, Amr is dedicated to empowering others to harness the power of data for meaningful impact.