- 10 Principles of Practical Statistical Reasoning - Nov 3, 2020.
Practical Statistical Reasoning is a term that covers the nature and objective of applied statistics/data science, principles common to all applications, and practical steps/questions for better conclusions. The following principles have helped me become more efficient with my analyses and clearer in my conclusions.
Data Analysis, Data Quality, Data Science, Statistical Analysis, Statistics
- Conjoint Analysis: A Primer - Nov 1, 2017.
Conjoint is another of those things everyone talks about but many are confused about…
Statistical Analysis, Statistics
- Statistical Data Analysis in Python - Jul 18, 2016.
This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects, taking the form of a set of IPython notebooks.
IPython, Jupyter, Pandas, Python, Statistical Analysis
- Ten Simple Rules for Effective Statistical Practice: An Overview - Jun 23, 2016.
An overview of 10 simple rules to follow to ensure proper effective statistical data analysis.
Advice, Data Quality, Noise, Replication, Reproducibility, Statistical Analysis
- How to Check Hypotheses with Bootstrap and Apache Spark - Jan 28, 2016.
Learn how to leverage bootstrap sampling to test hypotheses, and how to implement in Apache Spark and Scala with a complete code example.
Apache Spark, Bootstrap sampling, Dmitry Petrov, Statistical Analysis
