Page 1
Page 1
Statistical Quality Control : Using MINITAB, R, JMP and Python
Introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept.
Six Sigma : Manuale per Green Belt
Intended to be a concise guide, with theoretical concepts and practical insights, easily accessible during the management of Six Sigma projects. It was born from the needs encountered in a wide variety of corporate environments, where the need to correctly use the most appropriate tool for analyzing data from the field is essential. Specifically, this volume focuses on Minitab 15 software, undoubtedly the most widely used among professionals in the sector.
Essentials of Excel VBA, Python, and R Vol. I : Financial statistics and portfolio analysis
Teaches statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R.
