5 Inexpensive Books to Learn Data Science

Data Science: The book "Data Science" by John D. Kelleher and Brendan Tierney is a valuable introductory resource, covering key aspects of the field. 

Python Data Analysis: The book covers core Python libraries, statistical foundations, advanced data analysis techniques, and computational efficiency 

Naked Statistics: The book covers applications like political polls, health problems, and product recommendations, offering an accessible way to grasp the importance of statistics in data science.

Hitchhiker's Guide: The book offers both theoretical knowledge and practical applications, serving as a valuable reference for those looking to explore specific areas of interest in machine learning

Data Insights Delivered: The book offers seven steps to enhance communication and meet stakeholder needs, emphasizing the importance of soft skills for data scientists.