Reddit mentions of Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Excellent starting point, but I think a DBA would find it lacking, as it doesn't really cover data structures or packages very well. I would pick it up to get your feet wet, but not read it cover to cover.

Look for something that covers Pandas and SQLalchemy. Check out Python Data Analysis, Python Data Science handbook. They are super modular and approachable.

Data Science = Technical Skills + Stats Skills + Business Expertise. So, for technical skills, start with Python, SQL, and Tableau. For Stats Skills, pick up 2nd, 3rd, and 4th year stats book. For business experience, work on business projects where use Python and Stats skills to solve them.

EDIT:

• For business acumen:
  Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking, Storytelling with Data: A Data Visualization Guide for Business Professionals
  
  
• For technical skills:
  Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython , Python Data Science Handbook: Essential Tools for Working with Data
  
  
• In regards to stats, I would suggest speaking with the Stats prof. Also, you might as well take a look at courses at Udacity and Udemy.
  
  So, you gotta sharpen up your programming skills.
  
  Godspeed

I can't recommend pandas enough. Start here https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython-ebook/dp/B075X4LT6K. I was a data analyst and started learning pandas a number of years ago. That led me to learning more about programming in general and eventually into a job as a data engineer.

It's a been a while since I used it, but I think Anaconda is probably still a good way to get started without having to manage your own python installation, virtualenvs, pip, brew, ect. https://www.anaconda.com/what-is-anaconda/

For a kindle book on data analysis in python, you may want to consider Python for Data Analysis.

But for the train I would much rather read relevant general audience science and business books or even history or philosophy. Something like Competing on Analytics or The Black Swan is more my idea of train reading than Python manuals. If you insist it must be more technical you can get scholarly books on the history or philosophy of statistics or computer science. The Quest for Artificial Intelligence is a relatively easy reading science history that should work pretty well on the train. Measuring the Mind is an example of a relevant philosophy text that you could read on the train.