# Statistical Analysis (10)

**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.**Conjoint Analysis: A Primer**- Nov 1, 2017.

Conjoint is another of those things everyone talks about but many are confused about…**5 Steps for Advanced Data Analysis using Visualization**- Oct 28, 2016.

In most of the scientific researches, due to large amount of experiment data, statistical analysis is typically done by technical experts in computing and statistics. Unfortunately, these experts are not the experts of underlying research; which may cause gaps in analysis. If actual researchers are given easy to use tools and methods to handle and analyse data, it will enrich the research outcome for sure.**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.**Top KDnuggets tweets, Jul 6 – Jul 12: Statistical Data Analysis #Python #Jupyter Notebooks; Modern Pandas Notebooks**- Jul 13, 2016.

Statistical Data Analysis in #Python (#Jupyter Notebooks); Modern Pandas: idiomatic Pandas notebook collection; New (free) book by @rdpeng: #rstats Programming for #DataScience**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.**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.**Interview: Anthony Bak, Ayasdi on Managing Data Complexity through Topology**- Jan 28, 2015.

We discuss the definition of Topology, its relevance to Big Data and compare Topological Data Analysis (TDA) with other approaches.**InnovAccer: Simplifying Research and Analysis**- Jun 5, 2014.

Innovaccer cleans and prepares data for analysis by researchers to save time and improve confidence in the quality of the data.**Zipfian Academy: Become a Data Scientist in 12 Intense Weeks**- Mar 20, 2014.

Learn the practical skills you need through our immersive program in San Francisco. Zipfian Academy alumni have joined some of the top data science teams in Silicon Valley.