The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.
Cuprins
Chapter 1: Data analytics in the age of big data: Mania vs Phobia
Chapter 2: Building an understanding of data analytics
Chapter 3: What should data analytics address?
Chapter 4: How a large amount of data is changing analytics?
Chapter 5: Plan and rules for a data analysis success
Chapter 6: Analytical Method development on big data
Chapter 7: Applications and examples
Despre autor
Soraya SEDKAOUI, Researcher at TRIS Laboratory (University of Montpellier, France); HDR & Lecturer in Khemis Miliana University (Algeria); Data analyst at SRY Consulting, Montpellier, France).
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