Data Reduction and Analysis
U. S. Raghavender
Arcler Education Inc
Data Reduction and Analysis examines various aspects of data analysis including briefoverview of data environment. It starts with establishing a clear picture of statistics todata science with Python and R. It comprise concepts of data analysis and error analysis,provides the reader with insights into the reduction and analysis of data in order todevelop a deep understanding of given data. Additionally, includes appendices on SciPyfor Statistics, Statistical Testing, and Pandas.
Dr. U. S. Raghavender did his Masters in Physics, with specialization in CondensedMatter Physics, followed by his doctoral thesis in X-ray Crystallographyof Designed molecules. This was followed by post-doctoral stints inIndia and abroad, in both academic institutions and non-academic institutions.He has been working on computational approaches of biomolecules,since the past 12 years. He has authored book chapters, published researchin internationally acclaimed journals. He also serves as a peer reviewer ofresearch articles published in both national (Journal of Biosciences) and international journals (BMCBioinformatics, Nucleic Acids Research etc.). He has a long term goal of addressing computationalaspects of regulatory mechanisms in cell.