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Book details
Format: epub
File Size: 363 KB
Print Length: 281 pages
Simultaneous Device Usage: Unlimited
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B06XHR9TJC
This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.
This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.
UNDERSTAND the following key insights:
WHY DATA IS IMPORTANT TO YOUR BUSINESS
DATA SOURCES
HOW DATA CAN IMPROVE YOUR BUSINESS
HOW BIG DATA CREATES VALUE
DEVELOPMENT OF BIG DATA
CONSIDERING THE PROS AND CONS OF BIG DATA
BIG DATA FOR SMALL BUSINESSES
THE COST EFFECTIVENESS OF DATA ANALYTICS
WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION
DATA GATHERING
DATA SCRUBBING
DESCRIPTIVE ANALYTICS
INFERENTIAL STATISTICS
PREDICTIVE ANALYTICS
PREDICTIVE MODELS
DESCRIPTIVE MODELING
DECISION MODELING
PREDICTIVE ANALYSIS METHODS
MACHINE LEARNING TECHNIQUES
DATA ANALYSIS WITH “R”
ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE
THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR
PREDICTIVE ANALYTICS & BUSINESS
MARKETING STRATEGIES
FRAUD DETECTION
SHIPPING BUSINESS
CONTROLLING RISK FACTORS
THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES
DESCRIPTIVE AND PREDICTIVE ANALYSIS
CRUCIAL FACTORS FOR DATA ANALYSIS
RESOURCES AND FLEXIBLE TECHNICAL STRUCTURE
BUSINESS INTELLIGENCE
HYPER TARGETING
WHAT IS DATA SCIENCE?
DATA MUNGING
DEMYSTIFYING DATA SCIENCE
SECURITY RISKS TODAY
BIG DATA AND IMPACTS ON EVERYDAY LIFE
FINANCE AND BIG DATA
Book details
Format: epub
File Size: 363 KB
Print Length: 281 pages
Simultaneous Device Usage: Unlimited
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B06XHR9TJC
This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater.
This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics.
UNDERSTAND the following key insights:
WHY DATA IS IMPORTANT TO YOUR BUSINESS
DATA SOURCES
HOW DATA CAN IMPROVE YOUR BUSINESS
HOW BIG DATA CREATES VALUE
DEVELOPMENT OF BIG DATA
CONSIDERING THE PROS AND CONS OF BIG DATA
BIG DATA FOR SMALL BUSINESSES
THE COST EFFECTIVENESS OF DATA ANALYTICS
WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION
DATA GATHERING
DATA SCRUBBING
DESCRIPTIVE ANALYTICS
INFERENTIAL STATISTICS
PREDICTIVE ANALYTICS
PREDICTIVE MODELS
DESCRIPTIVE MODELING
DECISION MODELING
PREDICTIVE ANALYSIS METHODS
MACHINE LEARNING TECHNIQUES
DATA ANALYSIS WITH “R”
ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE
THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR
PREDICTIVE ANALYTICS & BUSINESS
MARKETING STRATEGIES
FRAUD DETECTION
SHIPPING BUSINESS
CONTROLLING RISK FACTORS
THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES
DESCRIPTIVE AND PREDICTIVE ANALYSIS
CRUCIAL FACTORS FOR DATA ANALYSIS
RESOURCES AND FLEXIBLE TECHNICAL STRUCTURE
BUSINESS INTELLIGENCE
HYPER TARGETING
WHAT IS DATA SCIENCE?
DATA MUNGING
DEMYSTIFYING DATA SCIENCE
SECURITY RISKS TODAY
BIG DATA AND IMPACTS ON EVERYDAY LIFE
FINANCE AND BIG DATA