There are many great books available to help you gain data knowledge, from data analysis and visualization to machine learning and statistics.

Here are ten highly recommended books to get you started:

1. “Python for Data Analysis” by Wes McKinney – A good introduction to data analysis with Python, focusing on the Pandas library.
2. “Data Science for Business” by Foster Provost and Tom Fawcett – This book provides an overview of the concepts, techniques, and tools used in data science, with a focus on their application in business settings.
3. “The Art of Data Science” by Roger D. Peng and Elizabeth Matsui – A guide to the thought process and methodology behind data analysis, emphasizing the importance of asking the right questions and interpreting results.
4. “Data Science from Scratch” by Joel Grus – This book covers the fundamentals of data science using Python, including essential libraries and algorithms.
5. “Data Wrangling with Pandas” by Kevin Markham – A comprehensive guide to cleaning, transforming, and reshaping data using the Pandas library in Python.
6. “The Data Warehouse Toolkit” by Ralph Kimball and Margy Ross – A classic text on data warehousing and dimensional modeling, providing best practices for designing and building data warehouses.
7. “Data-Intensive Text Processing with MapReduce” by Jimmy Lin and Chris Dyer – A detailed introduction to processing large-scale text datasets using the MapReduce programming model.
8. “Data Visualization: A Practical Introduction” by Kieran Healy – An introduction to data visualization using R and ggplot2, with an emphasis on the principles of good visual design.
9. “Data Mining: Practical Machine Learning Tools and Techniques” by Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal – A comprehensive introduction to data mining and machine learning, covering both theory and practical applications.
10. “Pattern Recognition and Machine Learning” by Christopher M. Bishop – A more advanced book on machine learning, covering a wide range of topics and techniques from a Bayesian perspective.

Keep in mind that this list is not exhaustive, and there are many other excellent books available on data-related topics. The best books for you will depend on your background, interests, and goals in learning about data.