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Viser: Data Science for Dummies
Data Science For Dummies, 3rd Edition Vital Source e-bog
Lillian Pierson
(2021)
Data Science for Dummies
Lillian Pierson
(2021)
Sprog: Engelsk
om ca. 2 hverdage
Detaljer om varen
- 3. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: John Wiley & Sons (August 2021)
- ISBN: 9781119811619
What is the size of the market? Data is one of the most important features of every organization because it helps business leaders make decisions based on facts, statistical numbers, and trends. The U.S. Bureau of Labor Statistics reports that demand for data science skills will drive a 27.9% increase in employment in the field through 2026.
Who are we targeting? Entry-level students looking for extra reading to supplement their courses, as well as data science professionals who need a brush-up on the basics.
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 3. Udgave
- Paperback: 432 sider
- Udgiver: John Wiley & Sons, Incorporated (September 2021)
- ISBN: 9781119811558
Data Science For Dummies, 3rd Edition is the perfect starting point for IT professionals and students who want a quick primer on the subject. It explores topics in big data, data science, and data engineering, and how these three areas are combined to produce value. Readers will learn from real-world examples and applications.
Updates include:
- An introduction to natural language processing
- New ways of looking at data science strategy
- New and emerging careers in data
Part 1: Getting Started with Data Science 5
Chapter 1: Wrapping Your Head Around Data Science 7
Chapter 2: Tapping into Critical Aspects of Data Engineering 19
Part 2: Using Data Science to Extract Meaning from Your Data 37
Chapter 3: Machine Learning Means Using a Machine to Learn from Data 39
Chapter 4: Math, Probability, and Statistical Modeling 51
Chapter 5: Grouping Your Way into Accurate Predictions 77
Chapter 6: Coding Up Data Insights and Decision Engines 103
Chapter 7: Generating Insights with Software Applications 137
Chapter 8: Telling Powerful Stories with Data 161
Part 3: Taking Stock of Your Data Science Capabilities 187
Chapter 9: Developing Your Business Acumen 189
Chapter 10: Improving Operations 205
Chapter 11: Making Marketing Improvements 229
Chapter 12: Enabling Improved Decision-Making 245
Chapter 13: Decreasing Lending Risk and Fighting Financial Crimes 265
Chapter 14: Monetizing Data and Data Science Expertise 275
Part 4: Assessing Your Data Science Options 289
Chapter 15: Gathering Important Information about Your Company 291
Chapter 16: Narrowing In on the Optimal Data Science Use Case 311
Chapter 17: Planning for Future Data Science Project Success 327
Chapter 18: Blazing a Path to Data Science Career Success 341
Part 5: The
Part of Tens 367
Chapter 19: Ten Phenomenal Resources for Open Data 369
Chapter 20: Ten Free or Low-Cost Data Science Tools and Applications 381 Index 397
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