If you are a budding data scientist keen to learn about the popular pandas library, or a Python developer looking to step into the world of data analysis, this book is the ideal resource to get you started. Some programming experience in Python will be helpful in terms of getting the most out of this book.
Who this book is for
by Ricardo Anjoleto Farias, Nataraj Dasgupta, Vitor Bianchi Lanzetta
Hands-On Data Science with R
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Getting Started with Data Science and R
- Descriptive and Inferential Statistics
- Data Wrangling with R
- Introduction to data wrangling with R
- Data extraction, transformation, and load
- Basic tools of data wrangling
- Using base R for data manipulation and analysis
- Applying families of functions 
- Using data.table for data manipulation
- Reading and writing files with data.table
- A special note on dates and/or time
- Miscellaneous topics
- Tutorial – looking at airline flight times data
- Summary
- Quiz
- KDD, Data Mining, and Text Mining
- Data Analysis with R
- Machine Learning with R
- Forecasting and ML App with R
- Neural Networks and Deep Learning
- Markovian in R
- Visualizing Data
- Going to Production with R
- Large Scale Data Analytics with Hadoop
- R on Cloud
- The Road Ahead
- Other Books You May Enjoy
Who this book is for
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