Python for Data science Series 1

Bazilabanu A

ISBN 10: 6203199303 / ISBN 13: 9786203199307

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Data science is a process which is used to extract the knowledge from massive amount of data. The data may be structured, unstructured, machine language based, graphs, audio, video, image and streaming data. Data science is introduced to perform the statistics, data analysis in order to understand and analyses the data to get maximum insight from that. Structured data is information that relies upon an information model and dwells in a fixed field inside a record. In that capacity, it's simple to store organized information in tables inside data sets or Excel documents. SQL, or Structured Query Language, is the favoured method to oversee and get the information in the table. In the unstructured data, the information not in the rows and columns. It has the information that is not easily fit into the data model for processing that.

Seller Inventory # 9786203199307

Bibliographic Details

• Title: Python for Data science Series 1
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6203199303
• ISBN 13: 9786203199307
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 173 grams

About this title

Synopsis

Data science is a process which is used to extract the knowledge from massive amount of data. The data may be structured, unstructured, machine language based, graphs, audio, video, image and streaming data. Data science is introduced to perform the statistics, data analysis in order to understand and analyses the data to get maximum insight from that. Structured data is information that relies upon an information model and dwells in a fixed field inside a record. In that capacity, it's simple to store organized information in tables inside data sets or Excel documents. SQL, or Structured Query Language, is the favoured method to oversee and get the information in the table. In the unstructured data, the information not in the rows and columns. It has the information that is not easily fit into the data model for processing that.