Data Science for Dummies 3rd Edition – Ebook Instant Download/Delivery ISBN(s): 9781119811558,1119811554, 9781119811619, 1119811619

Product details:

• ISBN-10: 1119811619
• ISBN-13: 9781119811619
• Author: Lillian Pierson

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.

Table contents:

Part 1: Getting Started with Data Science.
CHAPTER 1: Wrapping Your Head Around Data Science.
CHAPTER 2 Tapping into Critical Aspects of Data Engineering

Part 2: Using Data Science to Extract Meaning from Your Data
CHAPTER 3: Machine Learning Means… Using a Machine to Learn from Data.
CHAPTER 4 Math, Probability, and Statistical Modeling
CHAPTERS: Grouping Your Way into Accurate Predictions
CHAPTER & Coding Up Data Insights and Decision Engines.
CHAPTER 7: Generating Insights with Software Applications
CHAPTER & Telling Powerful Stories with Data.

Part 3: Taking Stock of Your Data Science Capabilities…
CHAPTER 9 Developing Your Business Acumen..
CHAPTER 10: Improving Operations
CHAPTER 11: Making Marketing Improvements
CHAPTER 12: Enabling Improved Decision-Making.
CHAPTER 13: Decreasing Lending Risk and Fighting Financial Crimes
CHAPTER 14: Monetizing Data and Data Science Expertise

Part 4: Assessing Your Data Science Options
CHAPTER 15: Gathering Important Information about Your Company
CHAPTER 16: Narrowing In on the Optimal Data Science Use Case
CHAPTER 17: Planning for Future Data Science Project Success
CHAPTER 18: Blazing a Path to Data Science Career Success.

Part 5: The Part of Tens.
CHAPTER 19: Ten Phenomenal Resources for Open Data.
CHAPTER 20: Ten Free or Low-Cost Data Science Tools and Applications

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