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Data Science for Business: What you need to know about data mining and data-analytic thinking
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Introduction to Computation and Programming Using Python: With Application to Understanding Data
Velocity-Based Training: How to Apply Science, Technology, and Data to Maximize Performance
40 Algorithms Every Programmer Should Know: Python algorithms to live by to enhance your problem-solving skills, 2nd Edition
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The Little Book of Crystals: An Inspiring Introduction to Everything You Need to Know to Enhance Your Life Using Crystals
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Mastering Microsoft Power BI: Expert techniques to create interactive insights for effective data analytics and business intelligence, 2nd Edition
The Case for Long-Term Value Investing: A Guide to the Data and Strategies That Drive Stock Market Success
Python for Everybody: Exploring Data in Python 3
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Invisible Women: Data Bias in a World Designed for Men
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Effective Pandas: Patterns for Data Manipulation (Treading on Python)
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The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions
Pillar-Based Marketing: A Data-Driven Methodology for SEO and Content That Actually Works
97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts
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Lean Analytics: Use Data to Build a Better Startup Faster
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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
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Data Protection Beyond Borders: Transatlantic Perspectives on Extraterritoriality and Sovereignty
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150 Bars You Need to Visit Before You Die
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