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Learn Python the Hard Way

Zed Shaw has perfected the world's best system for learning Python. Follow it and you will succeed-just like the hundreds of thousands of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else.

Learn More Python 3 the Hard Way

Written by the world-renowned Zed Shaw, this book of 52 hands-on projects is perfect for everyone who's written Python code but isn't yet comfortable taking new ideas all the way to finished software. The perfect follow-up to Shaw's best-selling Learn Python the Hard Way, this all-new, step-by-step book is The Next Step for New Python Programmers

A Smarter Way to Learn Python

I was smart enough to earn an honors degree in philosophy from Harvard, but an aptitude test told me to avoid computer programming. I'm sure it was right. But then I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies.

Polling for data in R

Instructor Mark Niemann-Ross begins by sharing a framework for understanding the different types of high-velocity data. He then covers how to use R to acquire high-velocity data, as well as how to leverage profiling tools and optimize R code for use with high-velocity data. He wraps up by exploring how to use R to present data, including how to use Shiny'an R package that allows you to build web apps straight from R'for interactive dashboards.

Web Analytics: An Hour A Day

Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts.

Anaconda Training

Get help with your data science projects by viewing Anaconda's documentation, make pull requests, or review questions and answers from our community of experts.

Applied Machine Learning Online Course

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data science and AI that would help the participants go from a real-world business problem to a first cut, working and deployable AI solution to the problem.

Learn Python Basics: Up To Date Python Course For Beginners

This Python basics course is pointed towards beginners to teach the fundamentals of this language, although some knowledge can be helpful for data scientists, IT people, and programmers as well. Although Python for beginners won't teach you all the possible functionality and possibilities of this language, it can be a perfect start to begin your career in the IT section!

Learn to Make Python Data Structures: Ultimate Guide on Data Science

This beginner-friendly Python data structures and Pandas tutorial will give you everything you need to create and expand a data frame. Whether you are new to programming or are already an accomplished developer, this Python for data analysis tutorial will suit your needs. It will arm you with different skills so that you can progressively build more complex data frames.

Python Image Recognition: Hands-On Data Science Course

Python image recognition sounds exciting, right? However, it can also seem a bit intimidating. There's no need to be scared! This tutorial will teach you Python basics and how to use TensorFlow. Take this chance to discover how to code in Python and learn TensorFlow linear regression then apply these principles to automated Python image recognition.

Python For Developers

First of its kind, our Python online for Developers is a uniquely designed online course in Python to aid your journey right from the beginning to the very end in becoming the most skilled software engineers across the globe.

Four Key Challenges for Business Analytics

This article is co-written with Arild Nebb Ervik. Regardless of how �big� the data are, success in analytics relies at least as much on organizational alignment and process as on the chosen analytical tool. Through distillation of the talk stream in the market we may identify four key challenges to address.

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