Data Reduction and Analysis examines various aspects of data analysis including brief overview of data environment. It starts with establishing a clear picture of statistics to data science with Python and R. It comprises concepts of data analysis and error analysis. Provides the reader with insights into the reduction and analysis of data in order to develop a deep understanding of given data. Additionally, includes appendices on SciPy for Statistics, Statistical Testing, and Pandas.