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Taking up where the best-selling A Simple Introduction to Data Science, left off, Lars Nielsen's A Simple Introduction to Data Science, Book 2 expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics.
Coverage includes:
The art and practice of introducing data science to the culture of the enterprise
Data science ethics and privacy concerns
Key concepts in data visualization
The role of artificial intelligence, machine learning, and deep learning
Data curation and the "tribal knowledge" problem
Hadoop, R, and Python
Discussion of how the data scientist role will evolve in future
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Matches MS program curriculum
- C. Aaron Woodard
