Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Pyt
USD 41.00 USD
Courses and books on basic statistics rarely cover the topic from a data science perspective. Why exploratory data analysis is a key preliminary step in data science. How random sampling can reduce bias and yield a higher-quality dataset, even with big data.
Specifications
| ISBN | 9781492072942 |
| Subject Area | Mathematics, Computers |
| Item Length | 9.4 in |
| Publication Year | 2020 |
| Type | Textbook |
| Format | Trade Paperback |
| Language | English |
| Item Height | 0.8 in |
| Item Weight | 21.9 Oz |
| Item Width | 7.3 in |
| Number Of Pages | 360 Pages |
You will find that this textbook breaks down difficult topics into manageable chunks.
