This Python for Finance tutorial introduces you to financial analyses, algorithmic trading, and backtesting with Zipline & Quantopian.

Learn how to read and import Excel files in Python, how to write data to these spreadsheets and which are the best packages to do this.

簡單易懂的 scikit-learn 教學，適合想要使用 Python 實作機器學習的初學者閱讀。

Learn how to geocode locations and map them in the last part of the "Exploring H-1B Data with R" tutorial series.

Learn even more about exploratory data analysis with R in the second part of the "Exploring H-1B Data" tutorial series

A NumPy tutorial for beginners in which you'll learn how to create a NumPy array, use broadcasting, access values, manipulate arrays, and …

Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.

An easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.

A list of Python resources for the eight statistics topics that you need to know to excel in data science