Prof. Dr. iur. Roland Müller is Professor of Private, Commercial and Aviation Law and President of the Center for Aviation Competence at the University of St. Gallen. He serves in several boards as member and president and holds guest professorships at several universities. Furthermore, he is senior partner at the University of St. Gallen's Center for Corporate Governance.
Dr. oec. HSG Andreas Wittmer is Managing Director of the Center for Aviation Competence at the University of St. Gallen where he also holds courses. He is a guest professor at several international universities in the fields of Aviation Management and Economics. He is President of the Swiss Aerospace Cluster and works as a freelance aircraft accident investigator for the Aircraft Accident Investigation Office of Switzerland.
Christopher Drax is a Consultant at P3 Group, focusing specifically on aviation related subjects. His expertise comprises of Aviation Risk Management, Safety Management Systems, Quality Management Systems and various topics concerning commercial aviation. He holds a degree in Aviation Management from the International University of applied sciences in Bad Honnef and conducted his postgraduate studies in Strategy, Innovation and Management Control at the Vienna University of Economics and Business and Master of International Business at the Queen’s School of Business in Canada. Furthermore, he is an active aerobatic pilot.
The Goal: A Process of Ongoing Improvement by Eliyahu Goldratt and Jeff Cox describes a process by which an unprofitable manufacturing operation can be made profitable. It conveys proven factory turnaround principles through a fictional story…
PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book.
Inside this Instaread of The Goal:Overview of the bookImportant PeopleKey TakeawaysAnalysis of Key Takeaways
But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype.
But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.
Each chapter will cover a different technique in a spreadsheet so you can follow along:Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
This book will help you:Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification
Corresponding data sets are available at www.wiley.com/go/9781118876138.
Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!