Monetize your company s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you re already a data science expert? Then you really won t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you re new to the data science field or already a decade in, you re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company s data by picking up your copy today.

Monetize your company's data and data science expertise without spending a fortune on hiring independent strategy consultants to helpWhat if there was one simple, clear process for ensuring that all your company's data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that's most prime for achieving profitability while also moving your company closer to its business vision? There is.Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework - A simple, proven process for leading profit-forming data science projects.Not sure what data science is yet? Don't worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you're already a data science expert? Then you really won't want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book.Data Science For Dummies demonstrates:* The only process you'll ever need to lead profitable data science projects* Secret, reverse-engineered data monetization tactics that no one's talking about* The shocking truth about how simple natural language processing can be* How to beat the crowd of data professionals by cultivating your own unique blend of data science expertiseWhether you're new to the data science field or already a decade in, you're sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company's data by picking up your copy today.

Introduction 1Part 1: Getting Started with Data Science 5Chapter 1: Wrapping Your Head Around Data Science 7Chapter 2: Tapping into Critical Aspects of Data Engineering 19Part 2: Using Data Science to Extract Meaning from Your Data 37Chapter 3: Machine Learning Means Using a Machine to Learn from Data 39Chapter 4: Math, Probability, and Statistical Modeling 51Chapter 5: Grouping Your Way into Accurate Predictions 77Chapter 6: Coding Up Data Insights and Decision Engines 103Chapter 7: Generating Insights with Software Applications 137Chapter 8: Telling Powerful Stories with Data 161Part 3: Taking Stock of Your Data Science Capabilities 187Chapter 9: Developing Your Business Acumen 189Chapter 10: Improving Operations 205Chapter 11: Making Marketing Improvements 229Chapter 12: Enabling Improved Decision-Making 245Chapter 13: Decreasing Lending Risk and Fighting Financial Crimes 265Chapter 14: Monetizing Data and Data Science Expertise 275Part 4: Assessing Your Data Science Options 289Chapter 15: Gathering Important Information about Your Company 291Chapter 16: Narrowing In on the Optimal Data Science Use Case 311Chapter 17: Planning for Future Data Science Project Success 327Chapter 18: Blazing a Path to Data Science Career Success 341Part 5: The Part of Tens 367Chapter 19: Ten Phenomenal Resources for Open Data 369Chapter 20: Ten Free or Low-Cost Data Science Tools and Applications 381Index 397