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- Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
Ebook
As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use.
Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
- 1. Preparing Your Data Science Environment
- 2. Driving Visual Analysis with Automobile Data with R
- 3. Creating Application-oriented Analyses Using Tax Data with Python
- 4. Modeling Stock Market Data
- 5. Visually Exploring Employment Data
- 6. Driving Visual Analyses with Automobile Data
- 7. Working with Social Graphs
- 8. Recommending Movies at Scale
- 9. Harvesting and Geolocating Twitter Data
- 10. Forecasting New Zealand Overseas Visitors
- 11. German Credit Data Analysis
- Title: Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
- Author: Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
- Original title: Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
- ISBN: 9781787123267, 9781787123267
- Date of issue: 2017-06-29
- Format: Ebook
- Item ID: e_15lh
- Publisher: Packt Publishing