#datamustread 2022 Essentials: How to Level Up In Your Data Journey

Best Data Science Books: Top 5 Essential Reads for 2022 - #datamustread
Best Data Science Books: Top 5 Essential Reads for 2022 – #datamustread

For some time now, I have been using the hashtag #datamustread on LinkedIn and Twitter to regularly recommend books that are essential for a data journey. At the end of this year, I would like to put together some absolute highlights that I consider to be absolute #datamustread books:

📖 True or False by Cindy L. Otis
📖 Info We Trust by RJ Andrew
📖 Tools and Weapons by Brad Smith
📖 Data Science for Business by Foster Provost and Tom Fawcett
📖 Decisively Digital by 24 thought leaders interviewed by me

Decisively Digital

Decisively Digital

Discover the power of artificial intelligence and digital transformation in the #1 best-selling business book Decisively Digital.

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True or False: A CIA Analyst’s Guide to Spotting Fake News

True or False by Cindy L. Otis covers the entire spectrum of misinformation and disinformation, why we fall for it, and what we can do about it. Even though some concepts are familiar to me, I still learned quite a lot. The book contains a wealth of unexpected examples, current and from history, and is more relevant than ever in today’s world.

Info We Trust: How to Inspire the World with Data

Info We Trust by RJ Andrews is an inspiring journey of data storytelling, but it’s also written in an extremely entertaining way, making this #datamustread the perfect companion for relaxing days. RJ’s enjoyable writing style, by the way, has been a guiding light for my own books.

Tools and Weapons: The Promise and the Peril of the Digital Age

Tools and Weapons by Brad Smith is a remarkable guide to some of the most pressing debates facing humanity about technology!

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business by Foster Provost and Tom Fawcett is the book for you if you’re looking for an introduction to the basics of Data Science! Each chapter delivers on the promise of the title and often does an excellent job of building on topics introduced in earlier chapters. The book moves seamlessly from understanding how to formulate Data Science questions to learn about correlation and segmentation, to model fitting and overfitting, and on to similarity and clustering. It also discusses what exactly a good Machine Learning model is, shows how to visualize model performance, evidence, and probabilities, and how to evaluate text.

Decisively Digital: From Creating a Culture to Designing Strategy

With our book, your mentors are the very digital masterminds behind some of today’s top global organizations. Discover how tech giants are reinventing the world of work, how the financial sector is streamlining with data analytics, and what the latest AI research means for the businesses of today and tomorrow.

Join the #datamustread Conversation on the Best Data Science Books

For more on data visualization book recommendations, don’t miss my post on #datamustread Data Viz Essentials.

I invite you to explore these #datamustread Essentials and join the conversation. Please let me know if you can recommend a book that deserves the hashtag #datamustread. Share your thoughts, insights, and recommendations on Twitter and LinkedIn: