Python for Data Science

Python for Data Science will be a reference site for some, and a learning site for others. The purpose is to help spread the use of Python for research and data science applications, and explain concepts in an easy to understand way.

If you are starting off fresh with no knowledge, this is the recommended order. Examples are provided for every topic!

• Getting Started
• Python Syntax
• Python Operators
• Python Fundamentals
• Strings
• Lists
• Dictionaries
• Tuples
• For Loops and Iterations
• Functions
• Pandas
• Series
• Data Frames
• Data Wrangling
• Sub-setting
• Recode Data
• Join and Merge Pandas Data Frames
• Descriptive Statistics
• Inferential Statistics
• Correlations
• Chi-square Test of Independence
• Independent t-test (a.k.a. Student’s t-test)
• Paired sample t-test
• Welch’s t-test
• Wilcoxon signed-rank test
• (Multiple) Linear Regression
• (Multiple) Logistic Regression

Topics coming soon

Please feel free to contact about suggested content to add or topics you wish to be explained.

• More Inferential Statistics with Explanations
• Plotting & Graphing

Python for Data Science, LLC. looks forward to helping you learn Python and applying your new skills to research applications.

All code has been “pretty formatted” using http://hilite.me/