Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

CHAPTER 15: EXPECTATIONS OF BUSINESS INTELLIGENCE

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Advances in technologies
Hyper targeting
The possibility of big data getting out of hand
Making forecasts without enough information
Sources of information for data management
CHAPTER 16: WHAT IS DATA SCIENCE?
Skills Required for Data Science
Mathematics
Technology and Hacking
Business Acumen
What does it take to be a data scientist?
Data Science, Analytics, and Machine Learning
Data Munging
CHAPTER 17: DEEPER INSIGHTS ABOUT A DATA SCIENTIST’S
SKILLS
Demystifying Data Science
Data Scientists in the Future
CHAPTER 18: BIG DATA AND THE FUTURE
Online Activities and Big Data
The Value of Big Data
Security Risks Today