Index of Topics and Sources

Goal of these Notes

My goal for the notes section of my website is to establish (and then elaborate over time) the skills and knowledge required in order to be successful in data science. I prefer to store and access this knowledge digitally instead of memorizing it or writing it down. And, distilling it onto this website helps me to learn it. I hope this information may be of use to someone else.

The following is a very high-level overview of various data science topics and which sources cover each one.

Topics and Sources

The following table of indexes is included to keep the topic table from growing very wide.

Index Source
1 Udacity Data Analyst Nanodegree
2 A Whirlwind Tour of Python
3 Python for Data Analysis
4 Python Data Science Handbook
5 Data Science from Scratch


✓’s in the following table indicate which sources discuss each given topic. The topics tabulated below should roughly correspond with the topics in the navigation to the left.

Topic 1 2 3 4 5
Command Line        
SQL      
MapReduce        
Python  
Anaconda        
Jupyter Notebooks      
Ipython interpreter    
Numpy    
Pandas    
Matplotlib  
Statsmodels        
Scikit-learn        
Data Analysis Process    
Descriptive Statistics    
Probability      
Inferential Statistics      
Linear Algebra        
Machine Learning      

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