Home » Fundamentals of Data Science
Product Image

Fundamentals of Data Science

Sanjeev J. Wagh | Manisha S. Bhende | Anuradha D. Thakare
€173.60
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Anuradha D. Thakare
A01=Manisha S. Bhende
A01=Sanjeev J. Wagh
academic data visualisation
advanced data science methodologies
Author_Anuradha D. Thakare
Author_Manisha S. Bhende
Author_Sanjeev J. Wagh
Bayes Theorem
Box Whisker Plot
Category=GPH
Category=UY
Data Frame
Data Science Field
DBSCAN Cluster
Dummy Variable
Dummy Variable Trap
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ETL Process
GARCH Model
GNU Octave
Google Sheets
Machine Learning Algorithms
Model Building Phase
Motion Chart
Multinomial Logistic Regression
Multiple Linear Regression
NoSQL Database
NumPy Arrays
predictive analytics
Python programming for analytics
quantitative research methods
Roc Curve
Rows Shelf
Scatter Plot
scientific data processing
statistical modelling
SVM
Text Mining
Vice Versa
Window Function

Product details

  • ISBN 9781138336186
  • Weight: 710g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Sep 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.

Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes

Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue.

This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge.

Features :

  • Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets.

  • Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools.

  • Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice.

  • Information is presented in an accessible way for students, researchers and academicians and professionals.
About Anuradha D. Thakare | Manisha S. Bhende | Sanjeev J. Wagh
Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare

More from this author