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Course Description

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Intermediate Level

Instructor Details

Nina Zumel

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Nina is a Principal Consultant with Win-Vector LLC, a data science consulting firm based in San Francisco. Before Win-Vector, she was the co-founder and owner of an SBIR company where she conducted research and specialty software development for defense and emergency response applications. Her technical interests include data science, statistics, statistical learning, and data visualization. Nina holds PhDs from Carnegie Mellon.