Data science fundamentals : pocket primer /

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, da...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Campesato, Oswald (Author)
Format: Electronic eBook
Language:Inglés
Published: Dulles, Virginia : Mercury Learning and Information, [2021]
Series:Pocket primer.
Subjects:
Databases.
Information retrieval.
Python (Computer program language)
Recherche de l'information.
Python (Langage de programmation)
information retrieval.
Databases
Information retrieval
Online Access:Texto completo
Table of Contents:
  • 1: Working with Data.
  • 2: Introduction to Probability and Statistics.
  • 3: Linear Algebra Concepts.
  • 4: Introduction to Python.
  • 5: Introduction to NumPy.
  • 6: Introduction to Pandas.
  • 7: Introduction to R.
  • 8: Regular Expressions.
  • 9: SQL and NoSQL.
  • 10: Data Visualization.
  • Index.

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