This ebook took me from zero to automating my weekly report by chapter 10. Every code example in the book works.
2026 edition
Computer Science & Technology
Python for Data Analysis, Simply
Clean data, clear charts, real answers
5.0 · 2 example reviewsGo from a messy spreadsheet to clear charts and real answers with Python, even if you have never coded.
- 296pages
- 12chapters
- 5portfolio projects
- 80+code examples
This book is for you if you are
- Excel users who want to do more
- Students in business, science and social science
- Career changers moving into data roles
Why this book
This book teaches Python the way analysts actually use it: load a real dataset, clean it, ask questions, and show the answers in charts people understand. No computer-science theory you do not need.
Every chapter uses real-world style datasets you can download, and ends with a short project. By the end you will have five small projects for your portfolio.
What you'll learn
- Set up Python and Jupyter in 15 minutes
- Load, clean and reshape data with pandas
- Answer business questions with group-by and pivots
- Make clear charts with matplotlib
- Automate a weekly report end to end
Not the right book for: Experienced Python developers.
Questions about this book
Can I get it in another format?
Yes. You get the PDF right away. Need EPUB, Kindle or Word? Contact us with your order number and we send it in the format you need.
Does it work on Kindle?
Yes. Send the PDF with Amazon's Send to Kindle service, or ask us for a Kindle-ready file. Step-by-step guide.
How many times can I download it?
Each download link works 5 times within 30 days, and you can get fresh links from your account at any time.
What if the file does not work?
Contact us with your order number and we will fix it or refund you.
Buy with confidence
If your file does not open or download, we fix it or refund you. Read the refund policy.
Contents
- 1Setting up in 15 minutesp. 1
- 2Python basics for analystsp. 13
- 3Your first datasetp. 37
- 4Cleaning messy datap. 61
- 5Asking questionsp. 89
- 6Group-by and pivotsp. 111
- 7Dates and time seriesp. 137
- 8Charts that explainp. 163
- 9Joining datasetsp. 189
- 10Automating a reportp. 213
- 11Five projectsp. 239
- 12Cheat sheetp. 283
Details
- Publisher
- Lantern Academic (sample)
- Edition
- 2nd edition, 2026
- Pages
- 296
- Language
- English
- Formats
- PDF (any other format on request)
- File size
- 5.3 MB
- Licence
- Personal use, keep forever
Reviews
Example reviews for the design preview. On the live shop, only verified buyers can review.
The best beginner Python ebook I have tried. I keep the PDF open next to my code while I practise.
