Introduction to Data Science, with Introduction to R

This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
It also addresses the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.
Pages : | /Paperback 288 pages |
File type : | |
Downloads: | 29 |
Submitted On: | 2020-08-29 |
License: | CC BY-NC-SA 3.0 |
Author(s): | Jeffrey Stanton |
Take advantage of this course called Introduction to Data Science, with Introduction to R to improve your Others skills and better understand Data science.
This course is adapted to your level as well as all Data science pdf courses to better enrich your knowledge.
All you need to do is download the training document, open it and start learning Data science for free.
This tutorial has been prepared for the beginners to help them understand basic Data science Others. After completing this tutorial you will find yourself at a moderate level of expertise in Data science from where you can take yourself to next levels.
This tutorial is designed for Data science students who are completely unaware of Data science concepts but they have basic understanding on Others training.
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