Python Data Science

Level up your data science skills using Python. An in-depth guide to using Python for data scientists.




Are you familiar with using Python for data analysis on a basic level? Do you find the advanced guides heavy on math but light on readability?

Are you someone who is looking to expand their knowledge when it comes to data science techniques and need a step by step, easily understood walkthrough?

Python Data Science: A Hand-On Guide Beyond the Basics will take your data science skills to the next level. Complex enough to engage those who are familiar with the basics, yet easy enough to be understood by those unfamiliar with heavy math.

Inside you will learn:

NumPy arrays and working with raw data- best practices and techniques. How to use inferential statistics to analyze data. More advanced models- how to integrate base models into an ensemble model. How to handle unstructured text. K-Means clustering. Fine tuning your data sets for outcomes- unstructured and structured. Python as a tool and getting the best out of it.

and so much more!

A data scientist needs to know the ins and outs of the data they receive and Python is the perfect tool to achieve this. Take your skills to the next level and learn from someone who works with data for a living.


Explore the book by looking inside and check out what others are saying about Python Data Science.

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