Getting started with Python for Data Science is an interesting journey. You might already be the Excel guru at your office and always knew there was more to it all. datagy provides tons of free resources to help you get into data science, but having a concrete, step-by-step guide can take you there much faster.
This book holds your hands just enough without being condescending. Download the complete guide to getting started with Python for Data Science.
Go Beyond Excel!
This book is designed to take someone interested in data analysis, but who doesn’t have much formal coding background — from beginner to being comfortable with Python, including Numpy, Pandas, and Matplotlib!
An Introduction to Python for Data Science
What You’ll Get:
- Nearly 90 pages of beautifully-formatted text in PDF form, readable on tablets, your computer, or even printable
- A downloadable copy of all code to be run with instruction in a Jupyter environment (and instructions on how to do this!)
- A printable cheat sheet covering key pieces of the code from the book
What You’ll Learn
In An Introduction to Python for Data Science, you’ll learn:
- How to use Python and Jupyter Notebooks
- The important data types and data structures in Python
- For-Loops and List Comprehensions
- An Introduction to Numpy
- An In-Depth Overview of Pandas
- Data Visualization with Matplotlib (and a dash of Seaborn)
Data Visualization in Python
You’ll learn, step-by-step, how to put together data visualizations in Python, along with all the support analysis behind it.
Meet the Author
Hi! I’m Nik. I’m the owner and founder of datagy.io!
In this book, I take you step-by-step through the data analysis journey in Python – no prior knowledge required!
30 Day Money Back Guarantee!
Try it! If you’re not satisfied, contact me within 30 days and I’ll refund you the purchase price.
Table of Contents
How Much Does it Cost?
The book is covered by a 30-day money-back guarantee, but I think you’ll love it!
It’s priced at a pay-what-you-want model, with a minimum price of $20. I want to make Python affordable and accessible to everyone.