Practical Data Science with R
- 8h 9m 58s
- Nina Zumel
- Manning Publications
- 2018
Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.
What's inside
- Data science for the business professional
- Statistical analysis using the R language
- Project lifecycle, from planning to delivery
- Numerous instantly familiar use cases
- Keys to effective data presentations
In this Audiobook
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Chapter 1 - The Data Science Process
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Chapter 2 - Loading Data into R
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Chapter 3 - Exploring Data
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Chapter 4 - Managing Data
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Chapter 5 - Choosing and Evaluating Models
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Chapter 6 - Memorization Methods
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Chapter 7 - Linear and Logistic Regression
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Chapter 8 - Unsupervised Methods
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Chapter 9 - Exploring Advanced Methods
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Chapter 10 - Documentation and Deployment
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Chapter 11 - Producing Effective Presentations
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